WO2024075203A1 - Processing device, processing method and recording medium - Google Patents

Processing device, processing method and recording medium Download PDF

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Publication number
WO2024075203A1
WO2024075203A1 PCT/JP2022/037242 JP2022037242W WO2024075203A1 WO 2024075203 A1 WO2024075203 A1 WO 2024075203A1 JP 2022037242 W JP2022037242 W JP 2022037242W WO 2024075203 A1 WO2024075203 A1 WO 2024075203A1
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WIPO (PCT)
Prior art keywords
residual value
information
processing device
calculation method
performance
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PCT/JP2022/037242
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French (fr)
Japanese (ja)
Inventor
憲人 大井
竜 岩本
達也 長田
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日本電気株式会社
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Priority to PCT/JP2022/037242 priority Critical patent/WO2024075203A1/en
Publication of WO2024075203A1 publication Critical patent/WO2024075203A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283—Price estimation or determination
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells

Definitions

  • the present invention relates to a processing device, a processing method, and a recording medium.
  • Patent Document 1 discloses a battery degradation determination system.
  • the battery degradation determination system is connected to an on-board device mounted on a vehicle via a communication network.
  • the battery degradation determination system receives the state quantities of the batteries mounted on multiple on-board devices and determines the deterioration of the battery.
  • Patent document 2 discloses a technology that calculates the SOC (State of Charge) using QV (Quiescent Voltage) instead of OCV (Open Circuit Voltage).
  • QV is the voltage measured in a state where a small amount of current may be flowing due to the device being in standby mode.
  • Patent Document 3 discloses a technology for calculating the deterioration state of an EV (Electric Vehicle) battery from vehicle characteristics (weight, etc.), road conditions, the external environment, etc.
  • EV Electric Vehicle
  • JP 2021-124419 A EP1598913A2 US2013/0085696A1
  • Electric vehicles and other electrically-powered devices are becoming more widespread. As a result, there is a demand for technology that allows owners of electrically-powered devices to easily obtain diagnostic results for the residual value of their own devices.
  • the residual value of the storage batteries installed in the electrically-powered equipment is an extremely important indicator.
  • the residual value of a storage battery is expressed, for example, as SOH (State of health).
  • SOH is calculated, for example, based on the measured value of the discharge current when a battery is completely discharged from a fully charged state.
  • this measurement method requires a lot of time and cost.
  • many calculation methods have been developed to predict SOH from various data such as usage data of electric equipment, environmental data, and charging history data. Using these calculation methods can reduce the time and cost burdens mentioned above.
  • Patent Document 1 discloses a technology for determining the deterioration of a battery installed in an on-board device.
  • Patent Document 2 discloses a technology for calculating the SOC using QV.
  • Patent Document 3 discloses a technology for calculating the deterioration state of an EV (Electric Vehicle) battery from vehicle characteristics (weight, etc.), road conditions, the external environment, etc.
  • EV Electric Vehicle
  • Patent Documents 1 to 3 disclose or suggest a technology for providing a user with a diagnosis result of the residual value of a storage battery calculated using a calculation method desired by the user.
  • one example of the objective of the present invention is to provide a processing device, a processing method, and a recording medium that solve the problem of providing a user with diagnostic results of the residual value of a storage battery calculated using a calculation method desired by the user.
  • a performance information storage means for acquiring performance information relating to a performance of the storage battery and storing the information in a performance storage means; a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means; an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
  • a processing apparatus is provided having:
  • One or more computers Acquire performance information regarding the performance of the storage battery and store it in a performance storage means; obtaining residual value information regarding a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means; A method is provided for issuing a diagnostic result indicative of at least one specified one of the residual values calculated by at least one of the calculation methods.
  • a performance information storage means for acquiring performance information relating to the performance of the storage battery and storing the information in a performance storage means; a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means; an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
  • a recording medium is provided on which a program for causing the device to function as the device is recorded.
  • a processing device, processing method, and recording medium are realized that solve the problem of providing a user with diagnostic results of the residual value of a storage battery calculated using a calculation method desired by the user.
  • FIG. 2 is a functional block diagram of a processing device.
  • FIG. 2 is a diagram for explaining an overview of an example of processing by a processing device.
  • FIG. 2 illustrates an example of a hardware configuration of a processing device.
  • FIG. 2 is a sequence diagram illustrating an example of a flow of processing executed by a processing device.
  • FIG. 11 is a sequence diagram illustrating another example of the flow of the process executed by the processing device.
  • FIG. 2 is a diagram illustrating an example of information processed by a processing device.
  • FIG. 11 is a sequence diagram illustrating another example of the flow of the process executed by the processing device.
  • FIG. 10 is a diagram illustrating an example of a screen output by the processing device.
  • FIG. 10 is a diagram illustrating an example of a diagnosis result issued by the processing device.
  • FIG. 11 is a diagram for explaining an outline of another example of processing by the processing device.
  • FIG. 11 is a functional block diagram of another example of the processing device;
  • FIG. 11 is a sequence diagram illustrating another example of the flow of the process executed by the processing device.
  • FIG. 11 is a sequence diagram illustrating another example of the flow of the process executed by the processing device.
  • FIG. 11 is a functional block diagram of another example of the processing device;
  • FIG. 10 is a diagram illustrating another example of information processed by the processing device.
  • First Embodiment 1 is a functional block diagram showing an overview of a processing device 10 according to the first embodiment.
  • the processing device 10 has a performance information accumulation unit 11, a residual value information accumulation unit 12, and an issuing unit 13.
  • the performance information accumulation unit 11 acquires performance information on the storage battery's usage performance and accumulates it in the performance storage means.
  • the residual value information accumulation unit 12 acquires residual value information on the residual value of the storage battery calculated by at least one calculation method based on the performance information and accumulates it in the residual value storage means.
  • the issuing unit 13 executes the issuing process of a diagnostic result indicating at least one specified residual value out of the residual values calculated by at least one calculation method.
  • the processing device 10 which has a performance information accumulation unit 11, can acquire and accumulate performance information regarding the usage performance of a storage battery installed in an electrically-powered device owned by a user. Furthermore, the processing device 10, which has a residual value information accumulation unit 12, can acquire and accumulate residual value information regarding the residual value of a storage battery calculated using at least one calculation method based on the performance information. And the processing device 10, which has an issuing unit 13, can issue a diagnostic result indicating a residual value specified by the user among the residual values indicated by the accumulated residual value information. As a result, the processing device 10 solves the problem of providing the user with a diagnostic result of the residual value of a storage battery calculated using a calculation method desired by the user.
  • the processing apparatus 10 of this embodiment is a specific embodiment of the processing apparatus 10 of the first embodiment.
  • the processing apparatus 10 is outlined below.
  • the processing device 10 As shown in FIG. 2, in a service that uses the processing device 10, the processing device 10, the user terminal 20, and the server 30 work together.
  • the processing device 10 is a device managed by a business operator (service provider) involved in a service that provides users (sellers) with diagnostic results of the residual value of a storage battery calculated using various calculation methods.
  • the processing device 10 acquires and stores performance information on the storage battery's usage history from the user terminal 20.
  • the processing device 10 also provides the performance information to the server 30, and acquires and stores residual value information calculated based on the performance information from the server 30.
  • the processing device 10 then issues diagnostic results based on the accumulated residual value information and transmits them to the user terminal 20.
  • the user terminal 20 is a device managed by a user (seller) who wishes to obtain diagnostic results for the residual value of a storage battery installed in an electric device that the user owns.
  • the user terminal 20 transmits performance information to the processing device 10.
  • the user terminal 20 also obtains diagnostic results from the processing device 10.
  • the server 30 is a device managed by a business (diagnosis business) that diagnoses the residual value of the user's (seller's) storage battery.
  • the server 30 acquires performance information from the processing device 10.
  • the server 30 also calculates residual value information based on the performance information.
  • the server 30 then transmits the calculated residual value information to the processing device 10.
  • the user uses the acquired diagnostic results for various purposes.
  • One example is use in the secondhand market.
  • the user sells his/her own electric equipment on the secondhand market by attaching the acquired diagnostic results.
  • the user can check the condition of the storage battery of the electric equipment being sold on the secondhand market based on the diagnostic results and use them as a basis for deciding whether or not to purchase it.
  • Each functional part of the processing device 10 is realized by any combination of hardware and software, centering on a central processing unit (CPU) of any computer, memory, programs loaded into the memory, a storage unit such as a hard disk for storing the programs (programs stored beforehand at the stage of shipping the device, as well as programs downloaded from storage media such as a compact disc (CD) or a server on the Internet, can be stored), and a network connection interface.
  • CPU central processing unit
  • CD compact disc
  • server on the Internet a server on the Internet
  • FIG. 3 is a block diagram illustrating an example of the hardware configuration of the processing device 10.
  • the processing device 10 has a processor 1A, a memory 2A, an input/output interface 3A, a peripheral circuit 4A, and a bus 5A.
  • the peripheral circuit 4A includes various modules.
  • the processing device 10 does not have to have the peripheral circuit 4A.
  • the processing device 10 may be composed of multiple devices that are physically and/or logically separated. In this case, each of the multiple devices can have the above hardware configuration.
  • the bus 5A is a data transmission path through which the processor 1A, memory 2A, peripheral circuit 4A, and input/output interface 3A transmit and receive data to each other.
  • the processor 1A is an arithmetic processing device such as a CPU or a GPU (Graphics Processing Unit).
  • the memory 2A is a memory such as a RAM (Random Access Memory) or a ROM (Read Only Memory).
  • the input/output interface 3A includes interfaces for acquiring information from input devices, external devices, external servers, external sensors, cameras, etc., and interfaces for outputting information to output devices, external devices, external servers, etc. Examples of input devices include a keyboard, mouse, microphone, physical buttons, touch panel, etc. Examples of output devices include a display, speaker, printer, mailer, etc.
  • the processor 1A issues commands to each module and can perform calculations based on the results of those calculations.
  • Fig. 1 shows an example of a functional block diagram of the processing device 10. As shown in the figure, the processing device 10 has a performance information accumulation unit 11, a residual value information accumulation unit 12, and an issuing unit 13.
  • the performance information accumulation unit 11 acquires performance information regarding the usage record of the storage batteries and accumulates it in the performance storage means.
  • the performance information accumulation unit 11 can repeatedly acquire performance information of the storage batteries and accumulate it in the performance storage means. As a result, historical data of performance information of the storage batteries is accumulated in the performance storage means.
  • the performance information accumulation unit 11 can acquire performance information of each of the multiple storage batteries, link it to the identification information of each of the multiple storage batteries, and accumulate each piece of performance information in the performance storage means.
  • a “storage battery” is a device equipped with the function of storing electricity for use in electrically-driven equipment.
  • the electrically-driven equipment is powered by electricity stored in the storage battery.
  • the storage battery is also called a secondary battery or a battery. There are no particular restrictions on the size or configuration of the storage battery.
  • the “achievement storage means” is a non-volatile memory.
  • the achievement storage means may be provided within the processing device 10, or may be provided in an external device connected to the processing device 10 so as to be able to communicate with it.
  • Performance information is various information used by the diagnostic company to calculate the residual value of the storage battery.
  • performance information includes various data such as charging history data, environmental data, and usage data.
  • Charge history data is data related to the charging process performed on the storage battery.
  • the charging history data includes, for example, the number of charges, the measured voltage and current during charging, the SOC at the start of charging, and the SOC at the end of charging. This data can be measured, for example, by a sensor provided on the storage battery.
  • Environmental data is data related to the usage environment of an electrically-powered device equipped with a storage battery.
  • Environmental data includes, for example, temperature, humidity, weather, location information, etc. These data may be measured, for example, by sensors equipped on the storage battery or the electrically-powered device, or may be obtained from a specified server (such as a server that provides weather information).
  • Usage data is data that indicates the usage status of an electrically-powered device equipped with a storage battery.
  • the content of the usage data varies according to the type of electrically-powered device.
  • An example of an electrically-powered device is an electrically-powered vehicle, but is not limited to this.
  • the usage data would include driving data (distance traveled, driving location, speed, acceleration, data indicating operation of the steering wheel, brake, accelerator, etc., etc.). This data can be measured, for example, by a sensor provided on the electrically-powered device.
  • An “electric vehicle” is a vehicle that runs on electrical energy as its power source.
  • Examples of electric vehicles include, but are not limited to, electric cars, plug-in hybrid cars, hybrid cars, and fuel cell cars.
  • the performance information accumulation unit 11 can acquire performance information from the user terminal 20.
  • the user terminal 20 may be the electric device itself equipped with a communication function.
  • the user terminal 20 may be an in-vehicle device equipped with a communication function that is installed in the vehicle.
  • the user terminal 20 may be a communication device such as a smartphone, a tablet terminal, a smartwatch, or a personal computer.
  • the above-mentioned data is continuously measured using a sensor installed in the electric device or a storage battery, and the data is stored in an optional memory device installed in the electric device.
  • an electrically-powered device or an in-vehicle device equipped with a communication function may transmit performance information to the processing device 10.
  • the timing of transmission may vary, and for example, data accumulated up to that point may be transmitted at a predetermined timing (predetermined time) every day, data accumulated up to that point may be transmitted when an operation to turn the electrically-powered device on or off is received, data accumulated up to that point may be transmitted when a transmission instruction is received from the user, or transmission may be transmitted at other times.
  • the electrically-powered device or the in-vehicle device may transmit data to the processing device 10 using real-time processing.
  • the user may move the data stored in the storage device to another device (smartphone, tablet terminal, smart watch, portable storage device, etc.) by any means.
  • the user may then transmit the data moved to the other device to the processing device 10 using any communication terminal (smartphone, tablet terminal, smart watch, personal computer, etc.).
  • the sequence diagram in FIG. 4 shows an example of the flow of processing realized by the performance information accumulation unit 11.
  • the user terminal 20 transmits performance information to the processing device 10 at a predetermined timing (S10).
  • the processing device 10 accumulates the received performance information in the performance storage means (S11). Thereafter, the processing is repeated.
  • the residual value information accumulation unit 12 acquires residual value information regarding the residual value of the storage battery calculated using at least one, for example, multiple calculation methods based on the performance information accumulated by the performance information accumulation unit 11, and accumulates the information in the residual value storage means.
  • the “residual value storage means” is a non-volatile memory.
  • the residual value storage means may be provided within the processing device 10, or may be provided in an external device communicatively connected to the processing device 10.
  • the “residual value of the battery” is expressed as SOH.
  • the "residual value information" indicates the current SOH.
  • the residual value information may further indicate a predicted value of the SOH at a specified time in the future.
  • the future SOH may be, for example, the SOH one year from now, the SOH three years from now, the SOH five years from now, etc.
  • the residual value information accumulation unit 12 transmits the performance information accumulated in the performance storage means to an external device (the diagnostic business operator's server 30) that calculates the residual value information based on the performance information.
  • the residual value information accumulation unit 12 then acquires the residual value information from the external device and accumulates it in the residual value storage means.
  • the residual value information accumulation unit 12 can transmit performance information to multiple external devices and obtain residual value information from multiple external devices.
  • the diagnostic service provider's server 30 calculates the residual value information using a unique calculation method.
  • the details of the calculation method are not particularly limited.
  • the multiple calculation methods may use different data for the calculation.
  • the multiple calculation methods may use different calculation algorithms.
  • the performance information stored in the performance storage means is updated at any time.
  • the diagnostic business's server 30 can obtain performance information from the processing device 10 at its own frequency/timing and calculate the remaining value information.
  • the server 30 of one diagnostic business may obtain performance information from the processing device 10 once a month and calculate the remaining value information.
  • the server 30 of another diagnostic business may obtain performance information from the processing device 10 once a week and calculate the remaining value information.
  • the servers 30 of all diagnostic businesses may obtain performance information from the processing device 10 at the same frequency/timing and calculate the remaining value information.
  • the frequency/timing for sending performance information to each diagnostic business's server 30 may be registered in advance in the processing device 10.
  • the residual value information accumulation unit 12 may then send performance information to each diagnostic business's server 30 at that frequency/timing and acquire the residual value information.
  • the frequency/timing for acquiring performance information may be registered in each diagnostic business's server 30.
  • the server 30 of each diagnostic business may then send a request for performance information to the processing device 10 at that frequency/timing.
  • the residual value information accumulation unit 12 transmits performance information to each diagnostic business's server 30 in response to a request from each diagnostic business's server 30.
  • server 30 of one diagnostic provider may calculate the residual value information using one calculation method, or may calculate the residual value information using each of multiple different calculation methods.
  • the server 30 of one diagnostic provider calculates the residual value information using each of multiple different calculation methods, the frequency/timing of calculation may be the same or different.
  • the sequence diagram in Figure 5 shows an example of the flow of processing realized by the residual value information accumulation unit 12.
  • the processing device 10 transmits performance information accumulated in the performance storage means to the diagnostic company's server 30 at a predetermined timing (S20).
  • the diagnostic company's server 30 calculates the residual value of the storage battery using a predetermined calculation method based on the received performance information (S21).
  • the diagnostic company's server 30 transmits residual value information indicating the calculated residual value to the processing device 10 (S22).
  • the processing device 10 accumulates the received residual value information in the residual value storage means (S23). This processing is then repeated.
  • the processing device 10 repeatedly performs the process shown in FIG. 5 with each diagnostic business's server 30 at a frequency/timing specific to each business.
  • FIG. 6 shows a schematic example of information stored in the residual value storage means.
  • the information shown is information related to a storage battery identified by storage battery identification information "B171811" of a user identified by user identification information "M1718112".
  • the diagnostic business operator identification information, calculation method number, current residual value, residual value after X years, calculation date, and number of calculations are linked to each other.
  • Diagnosis provider identification information is information that identifies multiple diagnosis providers from each other.
  • the "calculation method number" is information that identifies the calculation methods implemented by each diagnostic business operator. As described above, one diagnostic business operator may calculate the residual value using one calculation method, or may calculate the residual value using multiple calculation methods. In the latter case, the calculation method number identifies the multiple calculation methods implemented by one diagnostic business operator.
  • “Current residual value” is the current (at the time of calculation) residual value of the storage battery calculated using each calculation method of each diagnostic company. As described above, the residual value is repeatedly calculated using each calculation method of each diagnostic company. The latest residual value may be shown in this column.
  • “Residual value after X years” is the predicted value of the residual value of the storage battery after X years, calculated by each calculation method of each diagnostic company. For example, it can be the predicted value of the residual value after one year, three years, five years, etc. As mentioned above, the residual value is repeatedly calculated by each calculation method of each diagnostic company. The most recent predicted value may be shown in this column.
  • the “calculation date” is the calculation date of the values shown in the current residual value column and the residual value in X years column.
  • the residual value can be calculated at a frequency/timing specific to each diagnostic company's calculation method. For this reason, as shown in the figure, the calculation date of the latest "current residual value” and “residual value in X years" registered at a given point in time may differ depending on the calculation method.
  • Number of calculations is the number of times the residual value has been calculated to date. As mentioned above, the residual value can be calculated at a frequency/timing specific to each diagnostic company's calculation method. For this reason, as shown in the figure, the number of calculations at a given point in time may differ depending on the calculation method.
  • the issuing unit 13 executes a process of issuing a diagnostic result indicating at least one, for example at least one specified residual value among the residual values calculated using a plurality of calculation methods.
  • the issuing unit 13 presents the user with information on the residual values calculated using at least one calculation method, and accepts user input specifying at least one of the residual values.
  • the issuing unit 13 then performs processing to issue a diagnostic result indicating at least one specified residual value.
  • the issuing unit 13 may also execute processing for a specified fee to be paid to the diagnostic business operator related to the calculation method that calculated the at least one specified residual value. This processing may be, for example, a registration that the calculation method was specified. Alternatively, this processing may be processing to count the number of times each calculation method is specified.
  • the sequence diagram in Figure 7 shows an example of the process flow implemented by the residual value information accumulation unit 12.
  • the processing device 10 receives a request to issue a diagnosis result from the user terminal 20 (S30).
  • the user terminal 20 may be the electric device itself equipped with a communication function. Furthermore, if the electric device is an electric vehicle, the user terminal 20 may be an in-vehicle device. Furthermore, the user terminal 20 may be a communication device such as a smartphone, a tablet terminal, a smartwatch, or a personal computer. Note that the user terminal 20 that transmits performance information to the processing device 10 and the user terminal 20 used in the process of issuing a diagnosis result may be the same terminal or different terminals.
  • the user operates the user terminal 20 to access the processing device 10 via an application or web page related to the processing device 10.
  • the user then makes a request for issuance of diagnostic results via a UI (user interface) screen on the application or web page.
  • UI user interface
  • the processing device 10 transmits information indicating the residual value calculated by at least one calculation method to the user terminal 20 (S31).
  • the user terminal 20 displays the information on a display. An example of the information is shown in FIG. 8.
  • information on the residual value calculated using multiple calculation methods is displayed in a list. Specifically, for each calculation method, the current residual value, the residual value after X years, the calculation date, the number of calculations to date, the name of the diagnostic company, the calculation method, etc. are displayed. Also, a UI component (check box) is displayed for specifying at least one residual value from among these. Note that one residual value may be specified using a UI component such as a radio button.
  • the information to be transmitted is generated based on the information stored in the residual value storage means (see FIG. 6).
  • the user terminal 20 accepts a user input specifying at least one remaining value (S32).
  • the user terminal 20 then transmits the specification indicating which remaining value has been specified to the processing device 10 (S33).
  • the processing device 10 performs a process of issuing a diagnostic result indicating at least one specified residual value (S34). The processing device 10 then transmits the issued diagnostic result to the user terminal 20 (S35).
  • the processing device 10 In the process of issuing a diagnostic result, the processing device 10 generates a diagnostic result in, for example, a predetermined format.
  • FIG. 9 shows an example of a diagnostic result generated by the processing device 10.
  • the illustrated diagnostic result includes the issue date, issuer, information about the owner of the storage battery (name, address, etc.), information about the storage battery (storage battery manufacturer, type and manufacturer of electrically powered equipment equipped with the storage battery, etc.), residual value, information about the diagnostic business that calculated the residual value (name, etc.), etc.
  • the diagnostic result may not include some of this information, or may include other information.
  • the diagnostic result may also be issued under another name, such as a "diagnostic certificate.”
  • the diagnostic results are preferably in a format that is difficult to tamper with. For example, they may be recorded on a blockchain or generated in another data format.
  • the processing device 10 can acquire and accumulate performance information on the usage record of the storage battery from a user who owns an electrically-powered device.
  • the processing device 10 can also transmit the accumulated performance information to at least one server 30 of a diagnostic business operator, and acquire and accumulate residual value information of the storage battery calculated by the server 30 based on the performance information.
  • the processing device 10 can present residual values calculated by at least one calculation method in response to a request from a user, and issue a diagnosis result indicating at least one specified value from among the residual values.
  • the processing device 10 solves the problem of providing the user with diagnostic results of the residual value of the storage battery calculated using the calculation method desired by the user.
  • the processing device 10 of this embodiment has a function of supporting a user's operation of designating at least one of the residual values of the storage battery calculated by at least one calculation method (an operation of designating at least one residual value on a UI screen such as that shown in FIG. 8). Specifically, the processing device 10 has a function of presenting the user with information for determining which calculation method to designate. This will be described in detail below.
  • the issuing unit 13 outputs characteristic information of each calculation method to the user, linking it to the residual value calculated using at least one calculation method.
  • the issuing unit 13 can transmit the information to the user terminal 20 in response to a request for issuing a diagnostic result from the user terminal 20 (S30 in FIG. 7).
  • the characteristic information of each calculation method is displayed on a screen showing the residual value calculated using at least one calculation method as shown in FIG. 8.
  • the issuing unit 13 accepts a user input specifying a residual value calculated using at least one calculation method, and executes a process of issuing a diagnostic result indicating the residual value specified by the user input.
  • the "characteristic information for each calculation method” indicates at least one of the following: the number of calculations of residual value information performed so far in relation to the storage battery, reliability, track record specified in the past as the calculation method for executing the process of issuing diagnostic results, word-of-mouth information, and track record of the specified process using the issued diagnostic results.
  • the "number of calculations of residual value information performed so far in relation to the storage battery” is the number of calculations shown in Figures 6 and 8 described in the second embodiment. It is considered that the more the number of calculations, the easier it is for the user to trust the calculation results.
  • Reliability is the reliability of each calculation method. There are various methods for calculating reliability, but an example will be described in the fifth embodiment.
  • “Past designation as a calculation method for executing the diagnostic result issuing process” indicates the number of times it has been designated in the past as a calculation method for executing the diagnostic result issuing process. In other words, it indicates the number of times it has been designated in the past on a UI screen such as that shown in Figure 8. It is believed that the more times it has been designated, the more likely the user is to trust the calculation result.
  • Word-of-mouth information is information about each calculation method registered by unspecified users.
  • Word-of-mouth information may include, for example, comments registered by users.
  • Word-of-mouth information may also include, for example, evaluation results registered by users (e.g., the results of a 5-point evaluation).
  • the "performance of a specified process using the issued diagnostic results” indicates the sales results in the secondhand market using the diagnostic results calculated by each calculation method.
  • the "specified process” is sales in the secondhand market
  • the “performance” indicates the sales results.
  • the performance indicates the number of times a sale was made.
  • the performance may also indicate at least one of the statistics (average, minimum, maximum, mode, median, etc.) of the time from listing on the secondhand market to the completion of a sale.
  • the data is generated, for example, based on information provided by the user who issued the diagnostic results. Specifically, after issuing the diagnostic results, a survey is provided to the user by the service provider by any means inquiring about whether a sale was made, the time from listing to the completion of a sale, etc. Then, the above data is collected by obtaining the answers to the survey.
  • the processing device 10 of this embodiment achieves the same effects as the first and second embodiments.
  • the processing device 10 also has a function to assist the user in specifying at least one of the residual values of the storage battery calculated using at least one calculation method.
  • the processing device 10 has a function to present the user with information to help them decide which calculation method to specify. With such a processing device 10, the user can easily specify the desired calculation method.
  • the processing device 10 of this embodiment has a function for improving the reliability of the residual value of the storage battery calculated by each diagnostic company.
  • the processing device 10 acquires residual value information from a diagnostic business that has calculated the residual value of a storage battery, and accepts a deposit. Then, after a sale of an electric device is concluded using a diagnostic result indicating the residual value of a storage battery calculated by a certain diagnostic business, if a compensation request for the performance of the storage battery is received from the buyer, the processing device 10 compensates the buyer using the deposit of the diagnostic business. In this case, some or all of the diagnosed party's deposit will not be returned to the diagnostic business. It is expected that diagnostic businesses will strive to calculate the residual value with higher accuracy in order to increase the deposit refund rate. A detailed explanation will be given below.
  • FIG. 11 shows an example of a functional block diagram of the processing device 10 of this embodiment.
  • the processing device 10 has a performance information accumulation unit 11, a residual value information accumulation unit 12, an issuing unit 13, and a deposit management unit 14.
  • the deposit management unit 14 performs the "processing of accepting deposits from diagnostic businesses," “compensation processing using deposits,” and “deposit refund processing.” Each process is explained below.
  • the deposit management unit 14 accordingly accepts a predetermined deposit from the diagnostic business operator that calculated the remaining value information.
  • the "deposit" is a deposit received from the diagnostic business. If the buyer/user of an electrically-powered device equipped with a storage battery suffers an unforeseen disadvantage due to the diagnostic results indicating the residual value of the storage battery calculated by the diagnostic business, a compensation process will be carried out using the deposit.
  • the deposit management unit 14 may accept a deposit from the diagnostic business operator each time the residual value information accumulation unit 12 acquires residual value information from the diagnostic business operator's server 30 and accumulates it in the residual value storage means.
  • the sequence diagram in Figure 12 shows an example of the flow of this process implemented by the deposit management unit 14.
  • the processing device 10 transmits performance information stored in the performance storage means to the diagnostic company's server 30 at a predetermined timing (S40).
  • the diagnostic company's server 30 calculates the residual value of the storage battery using a predetermined calculation method based on the received performance information (S41).
  • the diagnostic company's server 30 transmits residual value information indicating the calculated residual value to the processing device 10, and deposits a deposit with the processing device 10 (S42).
  • the processing device 10 stores the received residual value information in the residual value storage means, and accepts the deposit (S43). This process is then repeated.
  • the diagnostic business operator can repeatedly calculate the residual value of a user's storage battery. As a result, the calculation is performed multiple times as shown in Figures 6 and 8.
  • the deposit management unit 14 may accept a deposit from the diagnostic business operator in response to each of the multiple calculations. In this case, the more calculations are performed, the larger the total amount of deposits accepted from the diagnostic business operator will be.
  • the deposit management unit 14 may accept a fixed deposit from a diagnostic business that has stored at least one piece of residual value information in the residual value storage means.
  • the deposit accepted from each diagnostic business is a fixed amount, regardless of the number of calculations.
  • the deposit management unit 14 may communicate with a server that manages specified electronic money and accept deposits in the specified electronic money.
  • the deposit management unit 14 may communicate with a server of a specified credit card company and accept deposits by payment using a credit card.
  • the deposit management unit 14 may accept deposits by online transfer processing to a specified financial institution such as a bank or post office.
  • the diagnosis result issued by the issuing unit 13 is used in the buying and selling of electric devices equipped with a storage battery. Specifically, a user (seller) sells his/her own electric device on the secondhand market by attaching the acquired diagnosis result. A user (buyer) checks the state of the storage battery of the electric device being sold on the secondhand market based on the diagnosis result and uses it as a basis for deciding whether or not to purchase the device.
  • the sequence diagram in Figure 13 shows an example of the process flow realized by the deposit management unit 14.
  • the processing device 10 receives a compensation request from the user terminal 40 of the user (buyer) (S50), it determines whether compensation is necessary and the compensation content (S51).
  • the processing device 10 executes compensation using a deposit linked to the calculation method used to calculate the diagnostic results used in the sale (a deposit made by the diagnostic business that calculated the residual value indicated by the diagnostic results) (S52).
  • a user operates the user terminal 40 to access the processing device 10 via an application or a web page related to the processing device 10. Then, the user (buyer) makes a compensation request via a UI screen on the application or web page.
  • the user may input information about the user requesting compensation (such as name, address, and telephone number), information about the purchased electric device and the storage battery installed therein (information that identifies them), information about the seller (such as name, address, and telephone number), and information about the diagnosis results presented by the seller at the time of sale (such as diagnosis result identification information and a copy of the diagnosis results).
  • information about the user requesting compensation such as name, address, and telephone number
  • information about the purchased electric device and the storage battery installed therein information that identifies them
  • information about the seller such as name, address, and telephone number
  • information about the diagnosis results presented by the seller at the time of sale such as diagnosis result identification information and a copy of the diagnosis results.
  • the deposit management unit 14 determines whether to provide compensation and the content of the compensation based on the residual value of the storage battery indicated in the diagnosis result and the residual value of the storage battery at the time of the compensation request. Specifically, the deposit management unit 14 evaluates the accuracy of the residual value of the storage battery indicated in the diagnosis result based on the residual value of the storage battery indicated in the diagnosis result and the residual value of the storage battery at the time of the compensation request. The deposit management unit 14 then determines to provide compensation if the accuracy is below a reference level, and not to provide compensation if the accuracy is above the reference level. In addition, if compensation is provided, the deposit management unit 14 determines the content of compensation based on the deviation between the accuracy and the reference level. The larger the deviation, the larger the compensation amount the deposit management unit 14 can decide to pay.
  • the deposit management unit 14 can calculate the accuracy based on the difference (hereinafter, the "first difference") obtained by subtracting the measured value of the battery's residual value at the time of the compensation request from the residual value of the battery predicted based on the diagnosis results at the time of the compensation request.
  • the first difference obtained by subtracting the measured value of the battery's residual value at the time of the compensation request from the residual value of the battery predicted based on the diagnosis results at the time of the compensation request.
  • the larger the first difference the lower the accuracy.
  • the predicted remaining value of the storage battery at the time of compensation request based on the diagnosis results is calculated, for example, as follows:
  • the diagnosis result includes the current (at the time of issuance of the diagnosis result or at the time of calculation of the residual value shown in the diagnosis result) residual value of the storage battery and the predicted value of the residual value at a specified time in the future.
  • the deposit management unit 14 predicts the residual value of the storage battery at any time between the two points in time based on the residual values at those two points in time. For example, the deposit management unit 14 may make the above prediction under the assumption that the current (at the time of issuance of the diagnosis result or at the time of calculation of the residual value shown in the diagnosis result) residual value of the storage battery decreases linearly toward the predicted value of the residual value at a specified time in the future.
  • the deposit management unit 14 may make the above prediction under the assumption that the current (at the time of issuance of the diagnosis result or at the time of calculation of the residual value shown in the diagnosis result) residual value of the storage battery decreases toward the predicted value of the residual value at a specified time in the future according to a specified decrease function.
  • the deposit management unit 14 can decide to provide compensation if the condition "the first difference is greater than the threshold (the accuracy is equal to or less than the reference level)" is met. The deposit management unit 14 can then decide to pay a larger compensation amount the greater the deviation between the first difference and the threshold.
  • the deposit management unit 14 may decide to provide compensation if, in addition to the above conditions, other conditions such as "meeting specified usage conditions" are also met.
  • the usage conditions define that the electric equipment and the storage battery are used under conditions that do not cause unexpected deterioration of the storage battery. Examples of usage conditions include, but are not limited to, the mileage of the electric vehicle (electric equipment) being below a reference value, or the number of times the storage battery is charged being below a reference value.
  • the above-mentioned "measured value of the residual value of the battery at the time of the compensation request" is measured using a specified measurement method.
  • the specified measurement method may be, for example, a calculation based on the measured value of the discharge current when the battery is completely discharged from a fully charged state.
  • a condition for receiving compensation may be stipulated that "the user (buyer) who purchased the electric vehicle must periodically transmit post-purchase performance information of the storage battery installed in the purchased electric vehicle to the processing device 10."
  • the processing device 10 can obtain performance information of the storage battery before and after purchase. Then, based on this information, the processing device 10 can determine whether or not to provide compensation and the content of the compensation. For example, the above-mentioned "residual value of the storage battery at the time of compensation request" may be calculated based on the "post-purchase performance information of the storage battery" transmitted to the processing device 10 after purchase.
  • Compensation may be paid to the user (buyer) by any means.
  • the deposit management unit 14 may communicate with a server that manages a specified electronic money and pay the compensation in the specified electronic money.
  • the deposit management unit 14 may pay the compensation by online transfer processing to a specified financial institution such as a bank or post office.
  • the deposit management unit 14 refunds the deposit received from the diagnostic business operator to the diagnostic business operator at a predetermined timing.
  • the deposit management unit 14 can execute at least one of the following refund examples.
  • a user who regularly transmits performance information of an electric device owned by the user to the processing device 10 transmits an instruction to end the processing to the processing device 10 at a timing of his/her choice.
  • the user issues the instruction, for example, when the user sells the user's electric device to another user.
  • the user operates, for example, the user terminal 20 to access the processing device 10 via an application or web page related to the processing device 10.
  • the user then issues the instruction via a UI screen on the application or web page.
  • the deposit management unit 14 When the deposit management unit 14 receives the instruction, it returns the deposit to some of the diagnostic businesses. Specifically, the deposit management unit 14 returns to each diagnostic business the deposit linked to a calculation method other than the method used to calculate the diagnostic result issued to the user (the deposit made by the diagnostic business that calculated the residual value indicated by the diagnostic result).
  • the deposit associated with the calculation method used to calculate the diagnostic result issued to that user may be used in a subsequent compensation request. For this reason, this deposit will not be refunded to the diagnostic provider at this point.
  • ⁇ Refund Example 2 This example is an example of refunding a deposit linked to the calculation method used to calculate the diagnostic result issued to the user.
  • the deposit management unit 14 refunds the deposit linked to the calculation method used to calculate the diagnostic result issued to the user to the diagnostic business operator at a predetermined timing.
  • the predetermined timing is the timing (termination timing) when the compensation obligation to the user (buyer) ends.
  • the end timing may be, for example, a timing when a predetermined period has passed from the time of purchase of the electric device.
  • the end timing may be a timing when a predetermined period has passed from the date on which the diagnostic result was issued.
  • the end timing may be a timing when a predetermined period has passed from the date on which the residual value indicated in the diagnostic result was calculated.
  • the end timing may be that predetermined time in the future.
  • the deposit management unit 14 monitors the arrival of the end timing as described above. Then, when the end timing arrives, the deposit management unit 14 returns to the diagnostic business the deposit linked to the calculation method used to calculate the diagnostic result issued to the user.
  • the deposit may be returned to the diagnostic business operator by any means.
  • the deposit management unit 14 may communicate with a server that manages a specified electronic money and return the deposit in the specified electronic money.
  • the deposit management unit 14 may communicate with a server of a specified credit card company and return the deposit.
  • the deposit management unit 14 may return the deposit by an online transfer process to a specified financial institution such as a bank or post office.
  • the processing device 10 of this embodiment achieves the same effects as the first to third embodiments. Furthermore, the processing device 10 can accept a deposit from the diagnostic business and use it to compensate the user (buyer) who purchases the electric equipment in a transaction using the diagnostic results. As a result, it is expected that the diagnostic business will strive to calculate the residual value with higher accuracy in order to increase the deposit refund rate. Furthermore, the user (buyer) can purchase the electric equipment with peace of mind.
  • the processing device 10 of this embodiment has a function of calculating the reliability of each calculation method. Then, the processing device 10 can determine the compensation to be paid to the diagnostic company for the calculation of the residual value based on the reliability. Furthermore, the processing device 10 can use the reliability in the process described in the third embodiment. This will be described in detail below.
  • FIG. 14 shows an example of a functional block diagram of the processing device 10 of this embodiment.
  • the processing device 10 has a performance information accumulation unit 11, a residual value information accumulation unit 12, an issuing unit 13, and a calculation method evaluation unit 15.
  • the processing device 10 may also have a deposit management unit 14.
  • the calculation method evaluation unit 15 calculates the reliability of at least one calculation method for calculating the residual value of the storage battery.
  • the calculation method evaluation unit 15 can execute at least one of the following calculation examples.
  • the residual value information calculated by each calculation method includes the current residual value and a predicted value of the residual value at a predetermined time in the future.
  • the calculation method evaluation unit 15 calculates the reliability of each calculation method based on the accuracy of the predicted value of the remaining value at a specified future time indicated by the previously calculated remaining value information. Specifically, after the arrival of the "specified future time indicated by the previously calculated remaining value information," the calculation method evaluation unit 15 determines the difference between the "predicted value of the remaining value at a specified future time indicated by the previously calculated remaining value information" and the "current remaining value at that time.” The smaller the difference, the higher the reliability that the calculation method evaluation unit 15 calculates.
  • the "current residual value at that time” may be the current residual value at that time calculated using each calculation method, or it may be a statistical value (average, median, mode, etc.) of the current residual value at that time calculated using multiple calculation methods, or it may be a value measured using a specified measurement method.
  • the specified measurement method may be, for example, a calculation based on the measured value of the discharge current when the battery is completely discharged from a fully charged state.
  • Calculation example 2 The diagnosis result issued by the issuing unit 13 is used in the buying and selling of electrically-driven devices equipped with a storage battery, as described in the above embodiment.
  • the calculation method evaluation unit 15 calculates the reliability of the calculation method used to calculate the residual value indicated by the diagnostic results used in the transaction based on the result of the transaction. Specifically, the calculation method evaluation unit 15 calculates a higher reliability if the transaction is concluded. If the transaction is not concluded, the calculation method evaluation unit 15 calculates a lower reliability.
  • the calculation method evaluation unit 15 may calculate the reliability of each calculation method based on the total number of times that trading has been completed. The calculation method evaluation unit 15 calculates a higher reliability the more the total number of times that trading has been completed.
  • the calculation method evaluation unit 15 may also calculate the reliability of each calculation method based on the total number of times a trade was completed and the total number of times a trade was not completed. The calculation method evaluation unit 15 calculates a higher reliability the more times a trade was completed and the higher the probability of a trade being completed. The probability of a trade being completed is calculated by dividing the total number of times a trade was completed by the number of trades (the sum of the total number of times a trade was completed and the total number of times a trade was not completed).
  • Calculation example 3 The calculation method evaluation unit 15 calculates the reliability of each calculation method based on at least one of the track record of being specified in the past as a calculation method for executing the process of issuing a diagnostic result and word-of-mouth information about the calculation method.
  • the calculation method evaluation unit 15 can calculate a higher reliability the more times a calculation method for executing the process of issuing a diagnostic result has been specified in the past (the more times it has been specified in the past on a UI screen such as that shown in FIG. 8).
  • the word-of-mouth information may show, for example, user ratings (e.g., a 5-point rating).
  • the calculation method evaluation unit 15 can calculate a higher reliability the higher the statistical results (average, median, mode, etc.) of ratings by multiple users.
  • the calculation method evaluation unit 15 can calculate the reliability based on at least one of the number of views of the web page and the number of favorites. Specifically, the calculation method evaluation unit 15 can calculate a higher reliability the more the number of views. Also, the calculation method evaluation unit 15 can calculate a higher reliability the more the number of favorites.
  • the calculation method evaluation unit 15 can calculate the reliability of each calculation method based on the track record of compensation using the deposit described in the fourth embodiment. Specifically, the calculation method evaluation unit 15 can calculate a higher reliability the fewer the number of times compensation using the deposit is performed. Also, the calculation method evaluation unit 15 can calculate a higher reliability the lower the total amount of compensation using the deposit.
  • the calculation method evaluation unit 15 can calculate the reliability of each calculation method based on any of the above-mentioned calculation examples 1 to 5. Specifically, the calculation method evaluation unit 15 calculates the reliability for each of the calculation examples, and then integrates them to calculate the final reliability.
  • the method of integration is not particularly limited, and examples include averaging, weighted averaging, adding up, multiplying, etc., but is not limited to these.
  • the calculation method evaluation unit 15 determines the compensation based on the reliability of each calculation method calculated as described above. The calculation method evaluation unit 15 determines a higher compensation as the reliability is higher.
  • Figure 15 shows a schematic example of the content determined by the calculation method evaluation unit 15.
  • the issuing unit 13 can output characteristic information of each calculation method to a user in association with the residual value calculated by at least one calculation method. After that, the issuing unit 13 accepts a user input specifying the residual value calculated by at least one calculation method, and executes an issuing process of a diagnosis result indicating the residual value specified by the user input.
  • the "characteristic information of each calculation method" can include the reliability of each calculation method.
  • the issuing unit 13 can use the reliability calculated by the calculation method evaluation unit 15 as "characteristic information of each calculation method" to perform the above processing.
  • the rest of the configuration of the processing device 10 in this embodiment is the same as in the first to fourth embodiments.
  • the processing device 10 of this embodiment achieves the same effects as the first to fourth embodiments.
  • the processing device 10 can also calculate the reliability of each calculation method and determine the compensation to be paid to the diagnostic business for the calculation of the residual value based on this reliability.
  • the processing device 10 can also present this reliability to the user. As a result, it is expected that the diagnostic business will make efforts to further increase the reliability.
  • the residual value of a storage battery calculated using multiple calculation methods by multiple diagnostic providers is assumed to be accumulated in the residual value storage means, but the residual value of a storage battery calculated using one calculation method by one diagnostic provider may also be accumulated in the residual value storage means.
  • the residual value is calculated repeatedly for one storage battery using each calculation method, but the residual value may be calculated only once for one storage battery using each calculation method.
  • the processing device 10 may transmit the performance information accumulated up to that point to at least one server 30 (a server of the diagnostic business operator) in response to the request, and request the calculation of the residual value.
  • the processing device 10 may then present the residual values calculated in response to the request to the user, and issue a diagnostic result indicating at least one selected from the residual values.
  • acquisition includes at least one of the following: “the device retrieves data stored in another device or storage medium (active acquisition)” based on user input or program instructions, such as receiving data by making a request or inquiry to another device, or accessing and reading out another device or storage medium, and “inputting data output from another device to the device (passive acquisition)” based on user input or program instructions, such as receiving data that is distributed (or transmitted, push notification, etc.), and selecting and acquiring data from among the received data or information, and "editing data (converting it to text, rearranging data, extracting some data, changing the file format, etc.) to generate new data and acquire the new data.”
  • a performance information storage means for acquiring performance information relating to the usage performance of the storage battery and storing the information in a performance storage means; a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means; an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods; A processing device having 2.
  • the residual value information storage means transmitting the performance information stored in the performance storage means to an external device that calculates the residual value information based on the performance information; 2.
  • the processing device acquires the residual value information from the external device.
  • the residual value information storage means Transmitting the performance information to a plurality of the external devices and acquiring the residual value information from the plurality of the external devices;
  • the plurality of external devices include 3.
  • the performance information storage means is Repeatedly acquiring the performance information of the storage battery and storing it in the performance storage means;
  • the residual value information accumulation means Transmitting the performance information to a plurality of external devices at a frequency specific to each of the external devices, and acquiring the residual value information;
  • the plurality of external devices include 4.
  • the processing device which calculates the residual value information at a frequency specific to each device. 5.
  • the processing device according to any one of 1 to 4, wherein the remaining value information includes a current remaining value and a predicted value of a remaining value at a predetermined time in the future. 6.
  • the processing device according to any one of 1 to 5, further comprising a deposit management means for accepting a predetermined deposit when the remaining value information accumulation means acquires the remaining value information and accumulates it in the remaining value storage means. 7.
  • the issued diagnosis result is used in the buying and selling of the electrically-powered device equipped with the storage battery,
  • the processing device described in 6 wherein the deposit management means executes compensation processing using the deposit linked to the calculation method used to calculate the diagnosis result used in the sale and purchase of the electric equipment in response to a compensation request from a buyer of the electric equipment.
  • the diagnosis result includes a predicted value of a residual value at a predetermined time in the future,
  • the issuing means is A processing device described in any one of 1 to 8, which outputs characteristic information of each of the calculation methods to a user in association with the residual value calculated using at least one of the calculation methods, accepts user input specifying the residual value calculated using at least one of the calculation methods, and executes a process of issuing a diagnostic result indicating the residual value specified by the user input.
  • the characteristic information indicates at least one of the number of calculations of the residual value information performed so far in relation to the storage battery, reliability, a track record designated in the past as the calculation method for executing the process of issuing the diagnostic result, word-of-mouth information, and a track record of a predetermined process using the issued diagnostic result.
  • the processing device according to any one of 1 to 10, further comprising a calculation method evaluation means for calculating the reliability of at least one of the calculation methods.
  • the residual value information includes a current residual value and a predicted value of a residual value at a predetermined time in the future;
  • the processing device described in 11 wherein the calculation method evaluation means calculates the reliability based on the difference between a predicted value of the remaining value at a specified future timing indicated by the remaining value information calculated in the past and the remaining value at that specified timing.
  • the issued diagnosis result is used in the purchase and sale of the electrically-powered device equipped with the storage battery, 13.
  • the processing device according to claim 11 or 12, wherein the calculation method evaluation means calculates the reliability based on the results of the buying and selling. 14.
  • the processing device according to any one of 11 to 13, wherein the calculation method evaluation means calculates the reliability based on at least one of a track record that has been specified in the past as the calculation method for executing the process of issuing the diagnostic result and word-of-mouth information on the calculation method.
  • the issued diagnosis result is used in the purchase and sale of the electrically-powered device equipped with the storage battery, details of the diagnosis result are displayed on a web page introducing the electrically-powered device;
  • the calculation method evaluation means includes: 15.
  • the processing device according to any one of claims 11 to 14, wherein the reliability is calculated based on at least one of the number of views of the web page and the number of times the web page is registered as a favorite. 16.
  • the processing device according to any one of 11 to 14, wherein the calculation method evaluation means determines a compensation to be paid to each diagnostic business operator that calculated the remaining value information each time the remaining value information accumulation means acquires the remaining value information and accumulates it in the remaining value storage means, based on the reliability.
  • One or more computers Acquire performance information regarding the performance of the storage battery and store it in a performance storage means; obtaining residual value information regarding a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means; A processing method that executes a process of issuing a diagnostic result indicating at least one specified one of the residual values calculated by at least one of the calculation methods. 18.
  • a computer a performance information storage means for acquiring performance information relating to the performance of the storage battery and storing the information in a performance storage means; a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means; an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods; A recording medium on which a program that functions as a 19.
  • a computer a performance information storage means for acquiring performance information relating to the performance of the storage battery and storing the information in a performance storage means; a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means; an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
  • a program that functions as a

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Abstract

The present invention provides a processing device (10) which comprises: a result information storage unit (11) that acquires result information pertaining to a usage result of a storage battery and stores the result information in a result storage means; a residual value information storage unit (12) that acquires residual value information pertaining to residual values of the storage battery which have been calculated, on the basis of the result information, by at least one calculation method; and an issuing unit (13) that carries out issue processing of a diagnosis result indicating at least one specified residual value among the residual values which have been calculated by said at least one calculation method.

Description

処理装置、処理方法及び記録媒体Processing device, processing method, and recording medium
　本発明は、処理装置、処理方法及び記録媒体に関する。 The present invention relates to a processing device, a processing method, and a recording medium.
　本発明に関連する技術が、特許文献１乃至３に開示されている。 Technologies related to the present invention are disclosed in Patent Documents 1 to 3.
　特許文献１は、バッテリ劣化判定システムを開示している。当該バッテリ劣化判定システムは、通信ネットワークを介して、車両に搭載された車載器と接続されている。そして、バッテリ劣化判定システムは、複数の車載器に搭載されたバッテリの状態量を受信し、バッテリの劣化判定を行う。 Patent Document 1 discloses a battery degradation determination system. The battery degradation determination system is connected to an on-board device mounted on a vehicle via a communication network. The battery degradation determination system receives the state quantities of the batteries mounted on multiple on-board devices and determines the deterioration of the battery.
　特許文献２は、ＯＣＶ（Open Circuit Voltage）でなくＱＶ（Quiescent Voltage）を用いてＳＯＣ（State Of Charge）を計算する技術を開示している。ＱＶは、機器のスタンバイ状態に起因する少量の電流が流れている可能性のある状態で測定された電圧である。 Patent document 2 discloses a technology that calculates the SOC (State of Charge) using QV (Quiescent Voltage) instead of OCV (Open Circuit Voltage). QV is the voltage measured in a state where a small amount of current may be flowing due to the device being in standby mode.
　特許文献３は、車両特性（重量等）、道路条件、外部環境等からＥＶ（Electric Vehicle）のバッテリの劣化状態を算出する技術を開示している。 Patent Document 3 discloses a technology for calculating the deterioration state of an EV (Electric Vehicle) battery from vehicle characteristics (weight, etc.), road conditions, the external environment, etc.
特開２０２１－１２４４１９号公報JP 2021-124419 A ＥＰ１５９８９１３Ａ２EP1598913A2 ＵＳ２０１３／００８５６９６Ａ１US2013/0085696A1
　電動車両など電力を動力源とした電動機器が広く普及している。これに伴い、電動機器を所有しているユーザが自身の電動機器の残存価値の診断結果を容易に取得できるようになる技術が望まれている。 Electric vehicles and other electrically-powered devices are becoming more widespread. As a result, there is a demand for technology that allows owners of electrically-powered devices to easily obtain diagnostic results for the residual value of their own devices.
　電動機器の残存価値の診断では、電動機器に備えられた蓄電池の残存価値が極めて重要な指標となる。蓄電池の残存価値は、例えばＳＯＨ（State Of health）で示される。 When diagnosing the residual value of electrically-powered equipment, the residual value of the storage batteries installed in the electrically-powered equipment is an extremely important indicator. The residual value of a storage battery is expressed, for example, as SOH (State of health).
　ＳＯＨは、例えば、満充電した状態から完全に放電した際の放電電流の測定値に基づき算出される。しかし、近年の蓄電池は大容量化しているため、当該測定方法の場合、時間とコストの負担が大きくなる。そこで、電動機器の使用データや、環境データや、充電履歴データ等の各種データからＳＯＨを予測する算出方法が多数開発されている。これら算出方法を利用することで、上述した時間やコストの負担の問題を軽減できる。 SOH is calculated, for example, based on the measured value of the discharge current when a battery is completely discharged from a fully charged state. However, as storage batteries have become larger in capacity in recent years, this measurement method requires a lot of time and cost. As a result, many calculation methods have been developed to predict SOH from various data such as usage data of electric equipment, environmental data, and charging history data. Using these calculation methods can reduce the time and cost burdens mentioned above.
　しかし、電動機器を所有しているユーザは、各種算出方法の中のいずれを利用して自身の電動機器に備えられた蓄電池の残存価値を診断すればよいのか容易に判断できない。その選択は、当然、ＳＯＨの予測結果、すなわち自身の電動機器の残存価値の診断結果に影響する。また、ユーザ自身が、各種算出方法各々を用いて蓄電池の残存価値を診断するのは多大な労力を要する。そこで、ユーザの所望の算出方法で算出された蓄電池の残存価値の診断結果をユーザに提供する技術が必要となる。 However, users who own electrically-powered equipment cannot easily determine which of the various calculation methods to use to diagnose the residual value of the storage battery installed in their electrically-powered equipment. Naturally, the choice will affect the predicted SOH results, i.e., the diagnosis results of the residual value of their own electrically-powered equipment. Furthermore, it takes a great deal of effort for users to diagnose the residual value of a storage battery using each of the various calculation methods. Therefore, there is a need for technology that can provide users with the diagnosis results of the residual value of a storage battery calculated using the calculation method of the user's choice.
　特許文献１は、車載器に搭載されたバッテリの劣化判定を行う技術を開示している。特許文献２は、ＱＶを用いてＳＯＣを計算する技術を開示している。特許文献３は、車両特性（重量等）、道路条件、外部環境等からＥＶ（Electric Vehicle）のバッテリの劣化状態を算出する技術を開示している。しかし、特許文献１乃至３はいずれも、ユーザの所望の算出方法で算出された蓄電池の残存価値の診断結果をユーザに提供する技術を記載も示唆もしていない。 Patent Document 1 discloses a technology for determining the deterioration of a battery installed in an on-board device. Patent Document 2 discloses a technology for calculating the SOC using QV. Patent Document 3 discloses a technology for calculating the deterioration state of an EV (Electric Vehicle) battery from vehicle characteristics (weight, etc.), road conditions, the external environment, etc. However, none of Patent Documents 1 to 3 disclose or suggest a technology for providing a user with a diagnosis result of the residual value of a storage battery calculated using a calculation method desired by the user.
　本発明の目的の一例は、上述した問題を鑑み、ユーザの所望の算出方法で算出された蓄電池の残存価値の診断結果をユーザに提供するという課題を解決する処理装置、処理方法、および記録媒体を提供することにある。 In view of the above-mentioned problems, one example of the objective of the present invention is to provide a processing device, a processing method, and a recording medium that solve the problem of providing a user with diagnostic results of the residual value of a storage battery calculated using a calculation method desired by the user.
　本発明によれば、
　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積する実績情報蓄積手段と、
　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積する残存価値情報蓄積手段と、
　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する発行手段と、
を有する処理装置が提供される。 According to the present invention,
a performance information storage means for acquiring performance information relating to a performance of the storage battery and storing the information in a performance storage means;
a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
A processing apparatus is provided having:
　また、本発明によれば、
　１つ以上のコンピュータが、
　　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積し、
　　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積し、
　　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する処理方法が提供される。 Further, according to the present invention,
One or more computers
Acquire performance information regarding the performance of the storage battery and store it in a performance storage means;
obtaining residual value information regarding a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
A method is provided for issuing a diagnostic result indicative of at least one specified one of the residual values calculated by at least one of the calculation methods.
　また、本発明によれば、
　コンピュータを、
　　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積する実績情報蓄積手段、
　　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積する残存価値情報蓄積手段、
　　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する発行手段、
として機能させるプログラムを記録した記録媒体が提供される。 Further, according to the present invention,
Computer,
a performance information storage means for acquiring performance information relating to the performance of the storage battery and storing the information in a performance storage means;
a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
A recording medium is provided on which a program for causing the device to function as the device is recorded.
　本発明の一態様によれば、ユーザの所望の算出方法で算出された蓄電池の残存価値の診断結果をユーザに提供するという課題を解決する処理装置、処理方法、および記録媒体が実現される。 According to one aspect of the present invention, a processing device, processing method, and recording medium are realized that solve the problem of providing a user with diagnostic results of the residual value of a storage battery calculated using a calculation method desired by the user.
　上述した目的、およびその他の目的、特徴および利点は、以下に述べる公的な実施の形態、およびそれに付随する以下の図面によってさらに明らかになる。 The above objects, as well as other objects, features and advantages, will become more apparent from the following illustrative embodiment and the accompanying drawings.
処理装置の機能ブロック図の一例である。FIG. 2 is a functional block diagram of a processing device. 処理装置の処理の一例の概要を説明するための図である。FIG. 2 is a diagram for explaining an overview of an example of processing by a processing device. 処理装置のハードウエア構成の一例を示す図である。FIG. 2 illustrates an example of a hardware configuration of a processing device. 処理装置が実行する処理の流れの一例を示すシーケンス図である。FIG. 2 is a sequence diagram illustrating an example of a flow of processing executed by a processing device. 処理装置が実行する処理の流れの他の一例を示すシーケンス図である。FIG. 11 is a sequence diagram illustrating another example of the flow of the process executed by the processing device. 処理装置が処理する情報の一例を模式的に示す図である。FIG. 2 is a diagram illustrating an example of information processed by a processing device. 処理装置が実行する処理の流れの他の一例を示すシーケンス図である。FIG. 11 is a sequence diagram illustrating another example of the flow of the process executed by the processing device. 処理装置が出力する画面の一例を模式的に示す図である。FIG. 10 is a diagram illustrating an example of a screen output by the processing device. 処理装置が発行する診断結果の一例を模式的に示す図である。FIG. 10 is a diagram illustrating an example of a diagnosis result issued by the processing device. 処理装置の処理の他の一例の概要を説明するための図である。FIG. 11 is a diagram for explaining an outline of another example of processing by the processing device. 処理装置の機能ブロック図の他の一例である。FIG. 11 is a functional block diagram of another example of the processing device; 処理装置が実行する処理の流れの他の一例を示すシーケンス図である。FIG. 11 is a sequence diagram illustrating another example of the flow of the process executed by the processing device. 処理装置が実行する処理の流れの他の一例を示すシーケンス図である。FIG. 11 is a sequence diagram illustrating another example of the flow of the process executed by the processing device. 処理装置の機能ブロック図の他の一例である。FIG. 11 is a functional block diagram of another example of the processing device; 処理装置が処理する情報の他の一例を模式的に示す図であるFIG. 10 is a diagram illustrating another example of information processed by the processing device.
　以下、本発明の実施の形態について、図面を用いて説明する。尚、すべての図面において、同様な構成要素には同様の符号を付し、適宜説明を省略する。 Below, an embodiment of the present invention will be described with reference to the drawings. Note that in all drawings, similar components are given similar reference numerals and descriptions will be omitted where appropriate.
＜第１の実施形態＞
　図１は、第１の実施形態に係る処理装置１０の概要を示す機能ブロック図である。処理装置１０は、実績情報蓄積部１１と、残存価値情報蓄積部１２と、発行部１３とを有する。 First Embodiment
1 is a functional block diagram showing an overview of a processing device 10 according to the first embodiment. The processing device 10 has a performance information accumulation unit 11, a residual value information accumulation unit 12, and an issuing unit 13.
　実績情報蓄積部１１は、蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積する。残存価値情報蓄積部１２は、実績情報に基づき少なくとも１つの算出方法で算出された蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積する。発行部１３は、少なくとも１つの算出方法で算出された残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する。 The performance information accumulation unit 11 acquires performance information on the storage battery's usage performance and accumulates it in the performance storage means. The residual value information accumulation unit 12 acquires residual value information on the residual value of the storage battery calculated by at least one calculation method based on the performance information and accumulates it in the residual value storage means. The issuing unit 13 executes the issuing process of a diagnostic result indicating at least one specified residual value out of the residual values calculated by at least one calculation method.
　実績情報蓄積部１１を備える処理装置１０によれば、ユーザが所有している電動機器に備えられた蓄電池の利用実績に関する実績情報を取得し、蓄積することができる。また、残存価値情報蓄積部１２を備える処理装置１０によれば、その実績情報に基づき少なくとも１つの算出方法で算出された蓄電池の残存価値に関する残存価値情報を取得し、蓄積することができる。そして、発行部１３を備える処理装置１０によれば、蓄積している残存価値情報で示される残存価値の中のユーザが指定した残存価値を示す診断結果を発行することができる。結果、処理装置１０によれば、ユーザの所望の算出方法で算出された蓄電池の残存価値の診断結果をユーザに提供するという課題が解決される。 The processing device 10, which has a performance information accumulation unit 11, can acquire and accumulate performance information regarding the usage performance of a storage battery installed in an electrically-powered device owned by a user. Furthermore, the processing device 10, which has a residual value information accumulation unit 12, can acquire and accumulate residual value information regarding the residual value of a storage battery calculated using at least one calculation method based on the performance information. And the processing device 10, which has an issuing unit 13, can issue a diagnostic result indicating a residual value specified by the user among the residual values indicated by the accumulated residual value information. As a result, the processing device 10 solves the problem of providing the user with a diagnostic result of the residual value of a storage battery calculated using a calculation method desired by the user.
＜第２の実施形態＞
「概要」
　本実施形態の処理装置１０は、第１の実施形態の処理装置１０を具体化したものである。処理装置１０の概要は以下の通りである。 Second Embodiment
"overview"
The processing apparatus 10 of this embodiment is a specific embodiment of the processing apparatus 10 of the first embodiment. The processing apparatus 10 is outlined below.
　図２に示すように、処理装置１０を利用したサービスでは、処理装置１０と、ユーザ端末２０と、サーバ３０とが連携する。 As shown in FIG. 2, in a service that uses the processing device 10, the processing device 10, the user terminal 20, and the server 30 work together.
　処理装置１０は、各種算出方法で算出された蓄電池の残存価値の診断結果をユーザ（売手）に提供するサービスに関わる事業者（サービス事業者）が管理する装置である。処理装置１０は、ユーザ端末２０から蓄電池の利用実績に関する実績情報を取得し、蓄積する。また、処理装置１０は、その実績情報をサーバ３０に提供するとともに、その実績情報に基づき算出された残存価値情報をサーバ３０から取得して蓄積する。そして、処理装置１０は、蓄積している残存価値情報に基づき診断結果を発行し、ユーザ端末２０に送信する。 The processing device 10 is a device managed by a business operator (service provider) involved in a service that provides users (sellers) with diagnostic results of the residual value of a storage battery calculated using various calculation methods. The processing device 10 acquires and stores performance information on the storage battery's usage history from the user terminal 20. The processing device 10 also provides the performance information to the server 30, and acquires and stores residual value information calculated based on the performance information from the server 30. The processing device 10 then issues diagnostic results based on the accumulated residual value information and transmits them to the user terminal 20.
　ユーザ端末２０は、所有している電動機器に備えられた蓄電池の残存価値の診断結果を希望するユーザ（売手）が管理する装置である。ユーザ端末２０は、実績情報を処理装置１０に送信する。また、ユーザ端末２０は、処理装置１０から診断結果を取得する。 The user terminal 20 is a device managed by a user (seller) who wishes to obtain diagnostic results for the residual value of a storage battery installed in an electric device that the user owns. The user terminal 20 transmits performance information to the processing device 10. The user terminal 20 also obtains diagnostic results from the processing device 10.
　サーバ３０は、ユーザ（売手）の蓄電池の残存価値を診断する事業者（診断事業者）が管理する装置である。サーバ３０は、処理装置１０から実績情報を取得する。また、サーバ３０は、その実績情報に基づき残存価値情報を算出する。そして、サーバ３０は、算出した残存価値情報を処理装置１０に送信する。 The server 30 is a device managed by a business (diagnosis business) that diagnoses the residual value of the user's (seller's) storage battery. The server 30 acquires performance information from the processing device 10. The server 30 also calculates residual value information based on the performance information. The server 30 then transmits the calculated residual value information to the processing device 10.
　ユーザ（売手）は取得した診断結果を各種用途に利用する。一例として、中古市場での利用が挙げられる。例えば、ユーザ（売手）は、取得した診断結果を添付して、自身の電動機器を中古市場で販売する。ユーザ（買手）は、その診断結果に基づき中古市場で売られている電動機器の蓄電池の状態を確認し、購入するか否かの判断材料とすることができる。 The user (seller) uses the acquired diagnostic results for various purposes. One example is use in the secondhand market. For example, the user (seller) sells his/her own electric equipment on the secondhand market by attaching the acquired diagnostic results. The user (buyer) can check the condition of the storage battery of the electric equipment being sold on the secondhand market based on the diagnostic results and use them as a basis for deciding whether or not to purchase it.
「ハードウエア構成」
　次に、処理装置１０のハードウエア構成の一例を説明する。処理装置１０の各機能部は、任意のコンピュータのＣＰＵ（Central Processing Unit）、メモリ、メモリにロードされるプログラム、そのプログラムを格納するハードディスク等の記憶ユニット（あらかじめ装置を出荷する段階から格納されているプログラムのほか、ＣＤ（Compact Disc）等の記憶媒体やインターネット上のサーバ等からダウンロードされたプログラムをも格納できる）、ネットワーク接続用インターフェイスを中心にハードウエアとソフトウエアの任意の組合せによって実現される。そして、その実現方法、装置にはいろいろな変形例があることは、当業者には理解されるところである。 "Hardware Configuration"
Next, an example of the hardware configuration of the processing device 10 will be described. Each functional part of the processing device 10 is realized by any combination of hardware and software, centering on a central processing unit (CPU) of any computer, memory, programs loaded into the memory, a storage unit such as a hard disk for storing the programs (programs stored beforehand at the stage of shipping the device, as well as programs downloaded from storage media such as a compact disc (CD) or a server on the Internet, can be stored), and a network connection interface. Those skilled in the art will understand that there are various variations in the method of realizing the above and the device.
　図３は、処理装置１０のハードウエア構成を例示するブロック図である。図３に示すように、処理装置１０は、プロセッサ１Ａ、メモリ２Ａ、入出力インターフェイス３Ａ、周辺回路４Ａ、バス５Ａを有する。周辺回路４Ａには、様々なモジュールが含まれる。処理装置１０は周辺回路４Ａを有さなくてもよい。なお、処理装置１０は物理的及び／又は論理的に分かれた複数の装置で構成されてもよい。この場合、複数の装置各々が上記ハードウエア構成を備えることができる。 FIG. 3 is a block diagram illustrating an example of the hardware configuration of the processing device 10. As shown in FIG. 3, the processing device 10 has a processor 1A, a memory 2A, an input/output interface 3A, a peripheral circuit 4A, and a bus 5A. The peripheral circuit 4A includes various modules. The processing device 10 does not have to have the peripheral circuit 4A. The processing device 10 may be composed of multiple devices that are physically and/or logically separated. In this case, each of the multiple devices can have the above hardware configuration.
　バス５Ａは、プロセッサ１Ａ、メモリ２Ａ、周辺回路４Ａ及び入出力インターフェイス３Ａが相互にデータを送受信するためのデータ伝送路である。プロセッサ１Ａは、例えばＣＰＵ、ＧＰＵ（Graphics Processing Unit）などの演算処理装置である。メモリ２Ａは、例えばＲＡＭ（Random Access Memory）やＲＯＭ（Read Only Memory）などのメモリである。入出力インターフェイス３Ａは、入力装置、外部装置、外部サーバ、外部センサ、カメラ等から情報を取得するためのインターフェイスや、出力装置、外部装置、外部サーバ等に情報を出力するためのインターフェイスなどを含む。入力装置は、例えばキーボード、マウス、マイク、物理ボタン、タッチパネル等である。出力装置は、例えばディスプレイ、スピーカ、プリンター、メーラ等である。プロセッサ１Ａは、各モジュールに指令を出し、それらの演算結果をもとに演算を行うことができる。 The bus 5A is a data transmission path through which the processor 1A, memory 2A, peripheral circuit 4A, and input/output interface 3A transmit and receive data to each other. The processor 1A is an arithmetic processing device such as a CPU or a GPU (Graphics Processing Unit). The memory 2A is a memory such as a RAM (Random Access Memory) or a ROM (Read Only Memory). The input/output interface 3A includes interfaces for acquiring information from input devices, external devices, external servers, external sensors, cameras, etc., and interfaces for outputting information to output devices, external devices, external servers, etc. Examples of input devices include a keyboard, mouse, microphone, physical buttons, touch panel, etc. Examples of output devices include a display, speaker, printer, mailer, etc. The processor 1A issues commands to each module and can perform calculations based on the results of those calculations.
「機能構成」
　次に、処理装置１０の機能構成を説明する。図１に、処理装置１０の機能ブロック図の一例を示す。図示するように、処理装置１０は、実績情報蓄積部１１と、残存価値情報蓄積部１２と、発行部１３とを有する。 "Function Configuration"
Next, a description will be given of the functional configuration of the processing device 10. Fig. 1 shows an example of a functional block diagram of the processing device 10. As shown in the figure, the processing device 10 has a performance information accumulation unit 11, a residual value information accumulation unit 12, and an issuing unit 13.
　実績情報蓄積部１１は、蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積する。実績情報蓄積部１１は、蓄電池の実績情報を繰り返し取得し、実績記憶手段に蓄積することができる。結果、実績記憶手段には、蓄電池の実績情報の経時データが蓄積される。また、実績情報蓄積部１１は、複数の蓄電池各々の実績情報を取得し、複数の蓄電池各々の識別情報に紐付けて、各実績情報を実績記憶手段に蓄積することができる。 The performance information accumulation unit 11 acquires performance information regarding the usage record of the storage batteries and accumulates it in the performance storage means. The performance information accumulation unit 11 can repeatedly acquire performance information of the storage batteries and accumulate it in the performance storage means. As a result, historical data of performance information of the storage batteries is accumulated in the performance storage means. In addition, the performance information accumulation unit 11 can acquire performance information of each of the multiple storage batteries, link it to the identification information of each of the multiple storage batteries, and accumulate each piece of performance information in the performance storage means.
　「蓄電池」は、電動機器に備えられた電気を蓄える機能を備えた装置である。電動機器は、蓄電池に蓄えられた電気を用いて駆動する。蓄電池は、二次電池と呼ばれたり、バッテリと呼ばれたりする。蓄電池の大きさや構成は特段制限されない。 A "storage battery" is a device equipped with the function of storing electricity for use in electrically-driven equipment. The electrically-driven equipment is powered by electricity stored in the storage battery. The storage battery is also called a secondary battery or a battery. There are no particular restrictions on the size or configuration of the storage battery.
　「実績記憶手段」は、不揮発性のメモリである。実績記憶手段は、処理装置１０内に設けられてもよいし、処理装置１０と通信可能に接続された外部装置に設けられてもよい。 The "achievement storage means" is a non-volatile memory. The achievement storage means may be provided within the processing device 10, or may be provided in an external device connected to the processing device 10 so as to be able to communicate with it.
　「実績情報」は、診断事業者による蓄電池の残存価値の算出に利用される各種情報である。例えば、実績情報は、充電履歴データ、環境データ、使用データ等の各種データを含む。 "Performance information" is various information used by the diagnostic company to calculate the residual value of the storage battery. For example, performance information includes various data such as charging history data, environmental data, and usage data.
　「充電履歴データ」は、蓄電池に対して実行された充電処理に関するデータである。充電履歴データは、例えば、充電回数、充電時の電圧や電流の測定値、充電開始時のＳＯＣ、充電終了時のＳＯＣ等を含む。これらのデータは、例えば蓄電池に備えられたセンサ等で測定することができる。 "Charging history data" is data related to the charging process performed on the storage battery. The charging history data includes, for example, the number of charges, the measured voltage and current during charging, the SOC at the start of charging, and the SOC at the end of charging. This data can be measured, for example, by a sensor provided on the storage battery.
　「環境データ」は、蓄電池を備えた電動機器の利用環境に関するデータである。環境データは、例えば、温度、湿度、天気、場所情報等を含む。これらのデータは、例えば蓄電池や電動機器に備えられたセンサ等で測定されてもよいし、所定のサーバ（気象情報を提供するサーバ等）から取得されてもよい。 "Environmental data" is data related to the usage environment of an electrically-powered device equipped with a storage battery. Environmental data includes, for example, temperature, humidity, weather, location information, etc. These data may be measured, for example, by sensors equipped on the storage battery or the electrically-powered device, or may be obtained from a specified server (such as a server that provides weather information).
　「使用データ」は、蓄電池を備えた電動機器の使用状況を示すデータである。使用データは、電動機器の種類に応じた内容となる。電動機器は例えば電動車両であるが、これに限定されない。例えば、電動機器が電動車両である場合、走行データ（走行距離、走行場所、速度、加速度、ハンドル・ブレーキ・アクセル等の操作内容を示すデータ等）等が使用データとなる。これらのデータは、例えば電動機器に備えられたセンサ等で測定することができる。 "Usage data" is data that indicates the usage status of an electrically-powered device equipped with a storage battery. The content of the usage data varies according to the type of electrically-powered device. An example of an electrically-powered device is an electrically-powered vehicle, but is not limited to this. For example, if the electrically-powered device is an electrically-powered vehicle, the usage data would include driving data (distance traveled, driving location, speed, acceleration, data indicating operation of the steering wheel, brake, accelerator, etc., etc.). This data can be measured, for example, by a sensor provided on the electrically-powered device.
　「電動車両」は、電気エネルギーを動力源として走行する車両である。電動車両としては、例えば、電気自動車、プラグインハイブリッド車、ハイブリッド車、燃料電池車等が例示されるが、これらに限定されない。 An "electric vehicle" is a vehicle that runs on electrical energy as its power source. Examples of electric vehicles include, but are not limited to, electric cars, plug-in hybrid cars, hybrid cars, and fuel cell cars.
　ここで、実績情報蓄積部１１が実績情報を取得する手段の一例を説明する。実績情報蓄積部１１は、ユーザ端末２０から実績情報を取得することができる。ユーザ端末２０は、通信機能を備えた電動機器そのものであってもよい。また、電動機器が電動車両の場合、ユーザ端末２０は車両内に設置された通信機能を備えた車載機器であってもよい。また、ユーザ端末２０は、スマートフォン、タブレット端末、スマートウォッチ、パーソナルコンピュータ等の通信装置であってもよい。 Here, an example of a means by which the performance information accumulation unit 11 acquires performance information will be described. The performance information accumulation unit 11 can acquire performance information from the user terminal 20. The user terminal 20 may be the electric device itself equipped with a communication function. Furthermore, if the electric device is an electric vehicle, the user terminal 20 may be an in-vehicle device equipped with a communication function that is installed in the vehicle. Furthermore, the user terminal 20 may be a communication device such as a smartphone, a tablet terminal, a smartwatch, or a personal computer.
　まず、例えば電動機器や蓄電池に備えられたセンサで上述のようなデータが連続的に測定され、電動機器内に設けられた任意の記憶装置に蓄積されていく。 First, the above-mentioned data is continuously measured using a sensor installed in the electric device or a storage battery, and the data is stored in an optional memory device installed in the electric device.
　そして、例えば通信機能を備えた電動機器又は車載機器が、処理装置１０に実績情報を送信してもよい。送信タイミングは様々であり、例えば毎日所定のタイミング（所定の時刻）でそれまでに蓄積したデータを送信してもよいし、電動機器の電源をＯＮにする操作又はＯＦＦにする操作を受付けたタイミングでそれまでに蓄積したデータを送信してもよいし、ユーザからの送信指示を受付けたタイミングでそれまでに蓄積したデータを送信してもよいし、その他のタイミングで送信してもよい。また、電動機器又は車載機器は、リアルタイム処理でデータを処理装置１０に送信してもよい。 Then, for example, an electrically-powered device or an in-vehicle device equipped with a communication function may transmit performance information to the processing device 10. The timing of transmission may vary, and for example, data accumulated up to that point may be transmitted at a predetermined timing (predetermined time) every day, data accumulated up to that point may be transmitted when an operation to turn the electrically-powered device on or off is received, data accumulated up to that point may be transmitted when a transmission instruction is received from the user, or transmission may be transmitted at other times. Furthermore, the electrically-powered device or the in-vehicle device may transmit data to the processing device 10 using real-time processing.
　その他、ユーザは、上記記憶装置に蓄積されたデータを任意の手段で他のデバイス（スマートフォン、タブレット端末、スマートウォッチ、可搬型記憶装置等）に移動させてもよい。そして、ユーザは、他のデバイスに移動させたデータを、任意の通信端末（スマートフォン、タブレット端末、スマートウォッチ、パーソナルコンピュータ等）を利用して処理装置１０に送信してもよい。 In addition, the user may move the data stored in the storage device to another device (smartphone, tablet terminal, smart watch, portable storage device, etc.) by any means. The user may then transmit the data moved to the other device to the processing device 10 using any communication terminal (smartphone, tablet terminal, smart watch, personal computer, etc.).
　図４のシーケンス図は、実績情報蓄積部１１により実現される処理の流れの一例を示す。図示するように、ユーザ端末２０が所定のタイミングで実績情報を処理装置１０に送信する（Ｓ１０）。処理装置１０は、受信した実績情報を実績記憶手段に蓄積する（Ｓ１１）。以降、当該処理を繰り返す。 The sequence diagram in FIG. 4 shows an example of the flow of processing realized by the performance information accumulation unit 11. As shown in the figure, the user terminal 20 transmits performance information to the processing device 10 at a predetermined timing (S10). The processing device 10 accumulates the received performance information in the performance storage means (S11). Thereafter, the processing is repeated.
　図１に戻り、残存価値情報蓄積部１２は、実績情報蓄積部１１が蓄積した実績情報に基づき少なくとも１つ、例えば複数の算出方法で算出された蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積する。 Returning to FIG. 1, the residual value information accumulation unit 12 acquires residual value information regarding the residual value of the storage battery calculated using at least one, for example, multiple calculation methods based on the performance information accumulated by the performance information accumulation unit 11, and accumulates the information in the residual value storage means.
　「残存価値記憶手段」は、不揮発性のメモリである。残存価値記憶手段は、処理装置１０内に設けられてもよいし、処理装置１０と通信可能に接続された外部装置に設けられてもよい。 The "residual value storage means" is a non-volatile memory. The residual value storage means may be provided within the processing device 10, or may be provided in an external device communicatively connected to the processing device 10.
　「蓄電池の残存価値」は、ＳＯＨで示される。 The "residual value of the battery" is expressed as SOH.
　「残存価値情報」は、現在のＳＯＨを示す。残存価値情報は、将来の所定タイミングでのＳＯＨの予測値をさらに示してもよい。将来のＳＯＨは、例えば１年後のＳＯＨや、３年後のＳＯＨや、５年後のＳＯＨ等である。 The "residual value information" indicates the current SOH. The residual value information may further indicate a predicted value of the SOH at a specified time in the future. The future SOH may be, for example, the SOH one year from now, the SOH three years from now, the SOH five years from now, etc.
　残存価値情報蓄積部１２は、実績情報に基づき残存価値情報を算出する外部装置（診断事業者のサーバ３０）に、実績記憶手段に蓄積された実績情報を送信する。そして、残存価値情報蓄積部１２は、その外部装置から残存価値情報を取得し、残存価値記憶手段に蓄積する。 The residual value information accumulation unit 12 transmits the performance information accumulated in the performance storage means to an external device (the diagnostic business operator's server 30) that calculates the residual value information based on the performance information. The residual value information accumulation unit 12 then acquires the residual value information from the external device and accumulates it in the residual value storage means.
　残存価値情報蓄積部１２は、複数の外部装置に実績情報を送信し、複数の外部装置から残存価値情報を取得することができる。 The residual value information accumulation unit 12 can transmit performance information to multiple external devices and obtain residual value information from multiple external devices.
　診断事業者のサーバ３０は、各々固有の算出方法で、残存価値情報を算出する。算出方法の詳細は特段制限されない。複数の算出方法は、算出に利用するデータが互いに異なってもよい。また、複数の算出方法は、算出のアルゴリズムが互いに異なってもよい。 The diagnostic service provider's server 30 calculates the residual value information using a unique calculation method. The details of the calculation method are not particularly limited. The multiple calculation methods may use different data for the calculation. Furthermore, the multiple calculation methods may use different calculation algorithms.
　また、上述の通り、実績記憶手段に蓄積されている実績情報は随時更新されている。診断事業者のサーバ３０は、各々固有の頻度／タイミングで、実績情報を処理装置１０から取得し、残存価値情報を算出することができる。例えば、ある診断事業者のサーバ３０は、月に１回、実績情報を処理装置１０から取得し、残存価値情報を算出してもよい。そして、他の診断事業者のサーバ３０は、週に１回、実績情報を処理装置１０から取得し、残存価値情報を算出してもよい。なお、全ての診断事業者のサーバ３０は、同じ頻度／タイミングで、実績情報を処理装置１０から取得し、残存価値情報を算出してもよい。 Furthermore, as described above, the performance information stored in the performance storage means is updated at any time. The diagnostic business's server 30 can obtain performance information from the processing device 10 at its own frequency/timing and calculate the remaining value information. For example, the server 30 of one diagnostic business may obtain performance information from the processing device 10 once a month and calculate the remaining value information. The server 30 of another diagnostic business may obtain performance information from the processing device 10 once a week and calculate the remaining value information. Note that the servers 30 of all diagnostic businesses may obtain performance information from the processing device 10 at the same frequency/timing and calculate the remaining value information.
　予め、各診断事業者のサーバ３０に実績情報を送信する頻度／タイミングが処理装置１０に登録されていてもよい。そして、残存価値情報蓄積部１２は、その頻度／タイミングで各診断事業者のサーバ３０に実績情報を送信し、残存価値情報を取得してもよい。その他、各診断事業者のサーバ３０に、実績情報を取得する頻度／タイミングが登録されていてもよい。そして、各診断事業者のサーバ３０がその頻度／タイミングで処理装置１０に実績情報のリクエストを送信してもよい。この場合、残存価値情報蓄積部１２は、各診断事業者のサーバ３０からのリクエストに応じて各診断事業者のサーバ３０に実績情報を送信する。 The frequency/timing for sending performance information to each diagnostic business's server 30 may be registered in advance in the processing device 10. The residual value information accumulation unit 12 may then send performance information to each diagnostic business's server 30 at that frequency/timing and acquire the residual value information. Alternatively, the frequency/timing for acquiring performance information may be registered in each diagnostic business's server 30. The server 30 of each diagnostic business may then send a request for performance information to the processing device 10 at that frequency/timing. In this case, the residual value information accumulation unit 12 transmits performance information to each diagnostic business's server 30 in response to a request from each diagnostic business's server 30.
　なお、１つの診断事業者のサーバ３０は１つの算出方法で残存価値情報を算出してもよいし、互いに異なる複数の算出方法各々で残存価値情報を算出してもよい。１つの診断事業者のサーバ３０が互いに異なる複数の算出方法各々で残存価値情報を算出する場合、算出する頻度／タイミングは互いに同じであってもよいし、互いに異なってもよい。 Note that the server 30 of one diagnostic provider may calculate the residual value information using one calculation method, or may calculate the residual value information using each of multiple different calculation methods. When the server 30 of one diagnostic provider calculates the residual value information using each of multiple different calculation methods, the frequency/timing of calculation may be the same or different.
　図５のシーケンス図は、残存価値情報蓄積部１２により実現される処理の流れの一例を示す。図示するように、処理装置１０が所定のタイミングで実績記憶手段に蓄積されている実績情報を診断事業者のサーバ３０に送信する（Ｓ２０）。診断事業者のサーバ３０は、受信した実績情報に基づき、所定の算出方法で蓄電池の残存価値を算出する（Ｓ２１）。そして、診断事業者のサーバ３０は、算出した残存価値を示す残存価値情報を処理装置１０に送信する（Ｓ２２）。処理装置１０は、受信した残存価値情報を残存価値記憶手段に蓄積する（Ｓ２３）。以降、当該処理を繰り返す。 The sequence diagram in Figure 5 shows an example of the flow of processing realized by the residual value information accumulation unit 12. As shown in the figure, the processing device 10 transmits performance information accumulated in the performance storage means to the diagnostic company's server 30 at a predetermined timing (S20). The diagnostic company's server 30 calculates the residual value of the storage battery using a predetermined calculation method based on the received performance information (S21). The diagnostic company's server 30 then transmits residual value information indicating the calculated residual value to the processing device 10 (S22). The processing device 10 accumulates the received residual value information in the residual value storage means (S23). This processing is then repeated.
　処理装置１０は、各診断事業者のサーバ３０と、各々に固有の頻度／タイミングで、図５に示す処理を繰り返し行う。 The processing device 10 repeatedly performs the process shown in FIG. 5 with each diagnostic business's server 30 at a frequency/timing specific to each business.
　図６に、残存価値記憶手段に記憶されている情報の一例を模式的に示す。図示する情報は、ユーザ識別情報「Ｍ１７１８１１２」で識別されるユーザの、蓄電池識別情報「Ｂ１７１８１１」で識別される蓄電池に関する情報である。図示する情報では、診断事業者識別情報、算出方法番号、現在の残存価値、Ｘ年後の残存価値、算出日、算出回数が互いに紐付けられている。 FIG. 6 shows a schematic example of information stored in the residual value storage means. The information shown is information related to a storage battery identified by storage battery identification information "B171811" of a user identified by user identification information "M1718112". In the information shown, the diagnostic business operator identification information, calculation method number, current residual value, residual value after X years, calculation date, and number of calculations are linked to each other.
　「診断事業者識別情報」は、複数の診断事業者を互いに識別する情報である。 "Diagnosis provider identification information" is information that identifies multiple diagnosis providers from each other.
　「算出方法番号」は、各診断事業者が実施する算出方法を互いに識別する情報である。上述したように、１つの診断事業者が１つの算出方法で残存価値を算出してもよいし、複数の算出方法で残存価値を算出してもよい。後者の場合、算出方法番号により、１つの診断事業者が実施する複数の算出方法が互いに識別される。 The "calculation method number" is information that identifies the calculation methods implemented by each diagnostic business operator. As described above, one diagnostic business operator may calculate the residual value using one calculation method, or may calculate the residual value using multiple calculation methods. In the latter case, the calculation method number identifies the multiple calculation methods implemented by one diagnostic business operator.
　「現在の残存価値」は、各診断事業者の各算出方法で算出された現在（算出時点）の蓄電池の残存価値である。上述の通り、各診断事業者の各算出方法で残存価値が繰り返し算出される。当該欄では、最新の残存価値が示されてもよい。 "Current residual value" is the current (at the time of calculation) residual value of the storage battery calculated using each calculation method of each diagnostic company. As described above, the residual value is repeatedly calculated using each calculation method of each diagnostic company. The latest residual value may be shown in this column.
　「Ｘ年後の残存価値」は、各診断事業者の各算出方法で算出されたＸ年後の蓄電池の残存価値の予測値である。例えば、１年後、３年後、５年後等の残存価値の予測値とすることができる。上述の通り、各診断事業者の各算出方法で残存価値が繰り返し算出される。当該欄では、最新の予測値が示されてもよい。 "Residual value after X years" is the predicted value of the residual value of the storage battery after X years, calculated by each calculation method of each diagnostic company. For example, it can be the predicted value of the residual value after one year, three years, five years, etc. As mentioned above, the residual value is repeatedly calculated by each calculation method of each diagnostic company. The most recent predicted value may be shown in this column.
　「算出日」は、現在の残存価値の欄及びＸ年後の残存価値の欄に示されている値の算出日である。上述の通り、各診断事業者の算出方法毎に固有の頻度／タイミングで残存価値の算出を行うことができる。このため、図示するように、ある時点で登録されている最新の「現在の残存価値」及び「Ｘ年後の残存価値」の算出日は算出方法毎に異なり得る。 The "calculation date" is the calculation date of the values shown in the current residual value column and the residual value in X years column. As mentioned above, the residual value can be calculated at a frequency/timing specific to each diagnostic company's calculation method. For this reason, as shown in the figure, the calculation date of the latest "current residual value" and "residual value in X years" registered at a given point in time may differ depending on the calculation method.
　「算出回数」は、これまでに実施した残存価値の算出の回数である。上述の通り、各診断事業者の算出方法毎に固有の頻度／タイミングで残存価値の算出を行うことができる。このため、図示するように、ある時点での算出回数は算出方法毎に異なり得る。 "Number of calculations" is the number of times the residual value has been calculated to date. As mentioned above, the residual value can be calculated at a frequency/timing specific to each diagnostic company's calculation method. For this reason, as shown in the figure, the number of calculations at a given point in time may differ depending on the calculation method.
　図１に戻り、発行部１３は、少なくとも１つ、例えば複数の算出方法で算出された残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する。 Returning to FIG. 1, the issuing unit 13 executes a process of issuing a diagnostic result indicating at least one, for example at least one specified residual value among the residual values calculated using a plurality of calculation methods.
　具体的には、発行部１３は、少なくとも１つの算出方法で算出された残存価値に関する情報をユーザに提示するとともに、その中から少なくとも１つの残存価値を指定するユーザ入力を受付ける。そして、発行部１３は、指定された少なくとも１つの残存価値を示す診断結果の発行処理を行う。なお、発行部１３は、指定された少なくとも１つの残存価値を算出した算出方法に関わる診断事業者に所定の対価が支払われるための処理を実行してもよい。当該処理は、例えばその算出方法が指定された旨の登録でもよい。その他当該処理は、算出方法毎に指定された回数をカウントする処理であってもよい。 Specifically, the issuing unit 13 presents the user with information on the residual values calculated using at least one calculation method, and accepts user input specifying at least one of the residual values. The issuing unit 13 then performs processing to issue a diagnostic result indicating at least one specified residual value. The issuing unit 13 may also execute processing for a specified fee to be paid to the diagnostic business operator related to the calculation method that calculated the at least one specified residual value. This processing may be, for example, a registration that the calculation method was specified. Alternatively, this processing may be processing to count the number of times each calculation method is specified.
　図７のシーケンス図は、残存価値情報蓄積部１２により実現される処理の流れの一例を示す。 The sequence diagram in Figure 7 shows an example of the process flow implemented by the residual value information accumulation unit 12.
　図示するように、処理装置１０は、ユーザ端末２０から診断結果の発行リクエストを取得する（Ｓ３０）。 As shown in the figure, the processing device 10 receives a request to issue a diagnosis result from the user terminal 20 (S30).
　ユーザ端末２０は、通信機能を備えた電動機器そのものであってもよい。また、電動機器が電動車両の場合、ユーザ端末２０は車載機器であってもよい。また、ユーザ端末２０は、スマートフォン、タブレット端末、スマートウォッチ、パーソナルコンピュータ等の通信装置であってもよい。なお、実績情報を処理装置１０に送信するユーザ端末２０と、診断結果の発行処理で利用されるユーザ端末２０は、同じ端末であってもよいし、異なる端末であってもよい。 The user terminal 20 may be the electric device itself equipped with a communication function. Furthermore, if the electric device is an electric vehicle, the user terminal 20 may be an in-vehicle device. Furthermore, the user terminal 20 may be a communication device such as a smartphone, a tablet terminal, a smartwatch, or a personal computer. Note that the user terminal 20 that transmits performance information to the processing device 10 and the user terminal 20 used in the process of issuing a diagnosis result may be the same terminal or different terminals.
　ユーザは、ユーザ端末２０を操作し、処理装置１０に関わるアプリケーション又はウェブページを介して処理装置１０にアクセスする。そして、ユーザは、アプリケーションやウェブページ上のＵＩ（user interface）画面を介して、診断結果の発行リクエストを行う。なお、当該発行リクエストの操作において、ユーザ識別情報の指定や、蓄電池識別情報の指定が行われてもよい。 The user operates the user terminal 20 to access the processing device 10 via an application or web page related to the processing device 10. The user then makes a request for issuance of diagnostic results via a UI (user interface) screen on the application or web page. Note that, in making the issuance request, user identification information and storage battery identification information may also be specified.
　処理装置１０は、当該発行リクエストに応じて、少なくとも１つの算出方法で算出された残存価値を示す情報をユーザ端末２０に送信する（Ｓ３１）。ユーザ端末２０は、当該情報をディスプレイに表示する。図８に、当該情報の一例を示す。 In response to the issuance request, the processing device 10 transmits information indicating the residual value calculated by at least one calculation method to the user terminal 20 (S31). The user terminal 20 displays the information on a display. An example of the information is shown in FIG. 8.
　図８に示す情報では、複数の算出方法で算出された残存価値に関する情報が一覧表示されている。具体的には、算出方法毎に、現在の残存価値、Ｘ年後の残存価値、それらの算出日、これまでの算出回数、診断事業者名、算出方式等が示されている。そして、それらの中から少なくとも１つの残存価値を指定するＵＩ部品（チェックボックス）が示されている。なお、ラジオボタン等のＵＩ部品を利用し、１つの残存価値が指定されるようにしてもよい。当該送信される情報は、残存価値記憶手段に記憶されている情報（図６参照）に基づき生成される。 In the information shown in FIG. 8, information on the residual value calculated using multiple calculation methods is displayed in a list. Specifically, for each calculation method, the current residual value, the residual value after X years, the calculation date, the number of calculations to date, the name of the diagnostic company, the calculation method, etc. are displayed. Also, a UI component (check box) is displayed for specifying at least one residual value from among these. Note that one residual value may be specified using a UI component such as a radio button. The information to be transmitted is generated based on the information stored in the residual value storage means (see FIG. 6).
　その後、ユーザ端末２０は、少なくとも１つの残存価値を指定するユーザ入力を受付ける（Ｓ３２）。そして、ユーザ端末２０は、いずれの残存価値が指定されたかを示す指定内容を処理装置１０に送信する（Ｓ３３）。 Then, the user terminal 20 accepts a user input specifying at least one remaining value (S32). The user terminal 20 then transmits the specification indicating which remaining value has been specified to the processing device 10 (S33).
　次いで、処理装置１０は、指定された少なくとも１つの残存価値を示す診断結果を発行する処理を行う（Ｓ３４）。そして、処理装置１０は、発行した診断結果をユーザ端末２０に送信する（Ｓ３５）。 Then, the processing device 10 performs a process of issuing a diagnostic result indicating at least one specified residual value (S34). The processing device 10 then transmits the issued diagnostic result to the user terminal 20 (S35).
　診断結果を発行する処理では、処理装置１０は、例えば予め定められた形式の診断結果を生成する。図９に、処理装置１０が生成する診断結果の一例を示す。図示する診断結果は、発行日、発行元、蓄電池の所有者に関する情報（氏名、住所等）、蓄電池に関する情報（蓄電池のメーカ、蓄電池を備える電動機器の種類やメーカ等）、残存価値、当該残存価値を算出した診断事業者に関する情報（名称等）等を含む。なお、診断結果は、これらの情報の一部を含まなくてもよいし、その他の情報を含んでもよい。また、診断結果は、「診断証明書」等の他の名称で発行されてもよい。 In the process of issuing a diagnostic result, the processing device 10 generates a diagnostic result in, for example, a predetermined format. FIG. 9 shows an example of a diagnostic result generated by the processing device 10. The illustrated diagnostic result includes the issue date, issuer, information about the owner of the storage battery (name, address, etc.), information about the storage battery (storage battery manufacturer, type and manufacturer of electrically powered equipment equipped with the storage battery, etc.), residual value, information about the diagnostic business that calculated the residual value (name, etc.), etc. The diagnostic result may not include some of this information, or may include other information. The diagnostic result may also be issued under another name, such as a "diagnostic certificate."
　診断結果は、データの改ざんが困難な形式のデータとすることが好ましい。例えば、ブロックチェーン上に記録されてもよいし、その他のデータ形式で生成されてもよい。 The diagnostic results are preferably in a format that is difficult to tamper with. For example, they may be recorded on a blockchain or generated in another data format.
「作用効果」
　処理装置１０は、電動機器を所有しているユーザから蓄電池の利用実績に関する実績情報を取得し、蓄積することができる。また、処理装置１０は、蓄積している実績情報を少なくとも１つの診断事業者のサーバ３０に送信するとともに、そのサーバ３０がその実績情報に基づき算出した蓄電池の残存価値情報を取得し、蓄積することができる。そして、処理装置１０は、ユーザからのリクエストに応じて少なくとも１つの算出方法で算出された残存価値を提示するとともに、その中から指定された少なくとも１つを示す診断結果を発行することができる。 "Action and effect"
The processing device 10 can acquire and accumulate performance information on the usage record of the storage battery from a user who owns an electrically-powered device. The processing device 10 can also transmit the accumulated performance information to at least one server 30 of a diagnostic business operator, and acquire and accumulate residual value information of the storage battery calculated by the server 30 based on the performance information. The processing device 10 can present residual values calculated by at least one calculation method in response to a request from a user, and issue a diagnosis result indicating at least one specified value from among the residual values.
　このような処理装置１０によれば、ユーザの所望の算出方法で算出された蓄電池の残存価値の診断結果をユーザに提供するという課題が解決される。 The processing device 10 solves the problem of providing the user with diagnostic results of the residual value of the storage battery calculated using the calculation method desired by the user.
　また、ユーザは、当該診断結果を比較的容易に取得することができるので、自身の電動機器を中古市場で販売しやすくなる。さらに、中古市場での電動機器の購入を検討しているユーザは、当該診断結果に基づき、安心して中古市場の商品の品定めや品質確認を行うことができる。結果、電動機器のさらなる普及や、電動機器の中古市場の普及が期待される。 In addition, since users can obtain the diagnostic results relatively easily, it becomes easier for them to sell their own electric equipment on the secondhand market. Furthermore, users who are considering purchasing electric equipment on the secondhand market can confidently evaluate products on the secondhand market and check their quality based on the diagnostic results. As a result, it is expected that the use of electric equipment and the secondhand market for electric equipment will become even more widespread.
＜第３の実施形態＞
　本実施形態の処理装置１０は、少なくとも１つの算出方法で算出された蓄電池の残存価値の中から少なくとも１つを指定するユーザの操作（図８に示すようなＵＩ画面において少なくとも１つの残存価値を指定する操作）を支援する機能を有する。具体的には、処理装置１０は、いずれの算出方法を指定するか判断するための材料をユーザに提示する機能を有する。以下、詳細に説明する。 Third Embodiment
The processing device 10 of this embodiment has a function of supporting a user's operation of designating at least one of the residual values of the storage battery calculated by at least one calculation method (an operation of designating at least one residual value on a UI screen such as that shown in FIG. 8). Specifically, the processing device 10 has a function of presenting the user with information for determining which calculation method to designate. This will be described in detail below.
　発行部１３は、少なくとも１つの算出方法で算出された残存価値に紐付けて、各算出方法の特性情報をユーザに向けて出力する。発行部１３は、ユーザ端末２０から診断結果の発行リクエスト（図７のＳ３０）に応じて、当該情報をユーザ端末２０に送信することができる。例えば、図８に示すような少なくとも１つの算出方法で算出された残存価値を示す画面において、各算出方法の特性情報が表示される。 The issuing unit 13 outputs characteristic information of each calculation method to the user, linking it to the residual value calculated using at least one calculation method. The issuing unit 13 can transmit the information to the user terminal 20 in response to a request for issuing a diagnostic result from the user terminal 20 (S30 in FIG. 7). For example, the characteristic information of each calculation method is displayed on a screen showing the residual value calculated using at least one calculation method as shown in FIG. 8.
　その後、発行部１３は、少なくとも１つの算出方法で算出された残存価値を指定するユーザ入力を受付け、当該ユーザ入力で指定された残存価値を示す診断結果の発行処理を実行する。 Then, the issuing unit 13 accepts a user input specifying a residual value calculated using at least one calculation method, and executes a process of issuing a diagnostic result indicating the residual value specified by the user input.
　「各算出方法の特性情報」は、蓄電池に関連してそれまでに行った残存価値情報の算出回数、信頼度、診断結果の発行処理を実行する算出方法として過去に指定された実績、口コミ情報、及び発行した診断結果を利用した所定処理の実績の中の少なくとも１つを示す。 The "characteristic information for each calculation method" indicates at least one of the following: the number of calculations of residual value information performed so far in relation to the storage battery, reliability, track record specified in the past as the calculation method for executing the process of issuing diagnostic results, word-of-mouth information, and track record of the specified process using the issued diagnostic results.
　「蓄電池に関連してそれまでに行った残存価値情報の算出回数」は、第２の実施形態で説明した図６や図８に示される算出回数である。算出回数が多いほど、ユーザはその算出結果を信頼しやすくなると考えられる。 The "number of calculations of residual value information performed so far in relation to the storage battery" is the number of calculations shown in Figures 6 and 8 described in the second embodiment. It is considered that the more the number of calculations, the easier it is for the user to trust the calculation results.
　「信頼度」は、各算出方法の信頼度である。信頼度の算出方法は様々であるが、第５の実施形態で一例を説明する。 "Reliability" is the reliability of each calculation method. There are various methods for calculating reliability, but an example will be described in the fifth embodiment.
　「診断結果の発行処理を実行する算出方法として過去に指定された実績」は、診断結果の発行処理を実行する算出方法として過去に指定された回数を示す。すなわち、図８に示すようなＵＩ画面において過去に指定された回数を示す。指定された回数が多いほど、ユーザはその算出結果を信頼しやすくなると考えられる。 "Past designation as a calculation method for executing the diagnostic result issuing process" indicates the number of times it has been designated in the past as a calculation method for executing the diagnostic result issuing process. In other words, it indicates the number of times it has been designated in the past on a UI screen such as that shown in Figure 8. It is believed that the more times it has been designated, the more likely the user is to trust the calculation result.
　「口コミ情報」は、不特定のユーザにより登録された各算出方法に関する情報である。口コミ情報は、例えばユーザが登録したコメントを含んでもよい。また、口コミ情報は、例えばユーザが登録した評価結果（例：５段階評価の結果）を含んでもよい。 "Word-of-mouth information" is information about each calculation method registered by unspecified users. Word-of-mouth information may include, for example, comments registered by users. Word-of-mouth information may also include, for example, evaluation results registered by users (e.g., the results of a 5-point evaluation).
　「発行した診断結果を利用した所定処理の実績」は、各算出方法で算出した診断結果を利用した中古市場での販売結果を示す。すなわち、「所定処理」は中古市場での販売であり、「実績」は販売結果を示す。実績は、具体的には、売買が成立した回数を示す。また、実績は、中古市場への出品から売買成立までの時間の統計値（平均値、最小値、最大値、最頻値、中央値等）の中の少なくとも１つを示してもよい。当該データは、例えば診断結果を発行したユーザから提供された情報に基づき生成される。具体的には、診断結果を発行した後、売買成立の有無や、出品から売買成立までの時間等を問い合わせるアンケートが、任意の手段で、サービス事業者からユーザに提供される。そして、そのアンケートの答えを取得することで、上記データが収集される。 The "performance of a specified process using the issued diagnostic results" indicates the sales results in the secondhand market using the diagnostic results calculated by each calculation method. In other words, the "specified process" is sales in the secondhand market, and the "performance" indicates the sales results. Specifically, the performance indicates the number of times a sale was made. The performance may also indicate at least one of the statistics (average, minimum, maximum, mode, median, etc.) of the time from listing on the secondhand market to the completion of a sale. The data is generated, for example, based on information provided by the user who issued the diagnostic results. Specifically, after issuing the diagnostic results, a survey is provided to the user by the service provider by any means inquiring about whether a sale was made, the time from listing to the completion of a sale, etc. Then, the above data is collected by obtaining the answers to the survey.
　本実施形態の処理装置１０のその他の構成は、第１及び第２の実施形態と同様である。 The rest of the configuration of the processing device 10 in this embodiment is the same as in the first and second embodiments.
　本実施形態の処理装置１０によれば、第１及び第２の実施形態と同様の作用効果が実現される。また、処理装置１０は、少なくとも１つの算出方法で算出された蓄電池の残存価値の中から少なくとも１つを指定するユーザの操作を支援する機能を有する。具体的には、処理装置１０は、いずれの算出方法を指定するか判断するための材料をユーザに提示する機能を有する。このような処理装置１０によれば、ユーザは、容易に、所望の算出方法を指定することができる。 The processing device 10 of this embodiment achieves the same effects as the first and second embodiments. The processing device 10 also has a function to assist the user in specifying at least one of the residual values of the storage battery calculated using at least one calculation method. Specifically, the processing device 10 has a function to present the user with information to help them decide which calculation method to specify. With such a processing device 10, the user can easily specify the desired calculation method.
＜第４の実施形態＞
　本実施形態の処理装置１０は、各診断事業者が算出する蓄電池の残存価値の信頼性を高めるための機能を備える。 Fourth Embodiment
The processing device 10 of this embodiment has a function for improving the reliability of the residual value of the storage battery calculated by each diagnostic company.
　図１０を用いて、当該機能の全体像を説明する。処理装置１０は、蓄電池の残存価値を算出した診断事業者から残存価値情報を取得するとともに、デポジット（預り金）を受付ける。そして、ある診断事業者が算出した蓄電池の残存価値を示す診断結果を利用した電動機器の売買が成立した後、買手のユーザから蓄電池の性能に関する補償リクエストを受付けると、処理装置１０は、その診断事業者のデポジットを用いて、買手のユーザへの補償を行う。この場合、その診断事象者のデポジットの一部又は全部は、その診断事業者に戻ってこなくなる。デポジットの返金率を高めるため、より精度の高い残存価値を算出するように診断事業者が努めることが期待される。以下、詳細に説明する。 The overall picture of this function will be explained using Figure 10. The processing device 10 acquires residual value information from a diagnostic business that has calculated the residual value of a storage battery, and accepts a deposit. Then, after a sale of an electric device is concluded using a diagnostic result indicating the residual value of a storage battery calculated by a certain diagnostic business, if a compensation request for the performance of the storage battery is received from the buyer, the processing device 10 compensates the buyer using the deposit of the diagnostic business. In this case, some or all of the diagnosed party's deposit will not be returned to the diagnostic business. It is expected that diagnostic businesses will strive to calculate the residual value with higher accuracy in order to increase the deposit refund rate. A detailed explanation will be given below.
　図１１に、本実施形態の処理装置１０の機能ブロック図の一例を示す。図示するように、処理装置１０は、実績情報蓄積部１１と、残存価値情報蓄積部１２と、発行部１３と、デポジット管理部１４とを有する。 FIG. 11 shows an example of a functional block diagram of the processing device 10 of this embodiment. As shown in the figure, the processing device 10 has a performance information accumulation unit 11, a residual value information accumulation unit 12, an issuing unit 13, and a deposit management unit 14.
　デポジット管理部１４は、「診断事業者からデポジットを受付ける処理」、「デポジットを用いた補償処理」及び「デポジットの返金処理」を行う。以下、各処理を説明する。 The deposit management unit 14 performs the "processing of accepting deposits from diagnostic businesses," "compensation processing using deposits," and "deposit refund processing." Each process is explained below.
－診断事業者からデポジットを受付ける処理－
　デポジット管理部１４は、残存価値情報蓄積部１２が残存価値情報を取得して残存価値記憶手段に蓄積すると、それに応じて、その残存価値情報を算出した診断事業者から所定のデポジットを受付ける。 - Processing for accepting deposits from diagnostic businesses -
When the remaining value information accumulation unit 12 acquires the remaining value information and accumulates it in the remaining value storage means, the deposit management unit 14 accordingly accepts a predetermined deposit from the diagnostic business operator that calculated the remaining value information.
　「デポジット」は、診断事業者から受付ける預り金である。診断事業者が算出した蓄電池の残存価値を示す診断結果により、その蓄電池を備える電動機器の買手ユーザが不測の不利益を被った場合、当該デポジットを用いた補償処理が実行される。 The "deposit" is a deposit received from the diagnostic business. If the buyer/user of an electrically-powered device equipped with a storage battery suffers an unforeseen disadvantage due to the diagnostic results indicating the residual value of the storage battery calculated by the diagnostic business, a compensation process will be carried out using the deposit.
　デポジット管理部１４は、残存価値情報蓄積部１２が診断事業者のサーバ３０から残存価値情報を取得し、残存価値記憶手段に蓄積する毎に、その診断事業者からデポジットを受付けてもよい。 The deposit management unit 14 may accept a deposit from the diagnostic business operator each time the residual value information accumulation unit 12 acquires residual value information from the diagnostic business operator's server 30 and accumulates it in the residual value storage means.
　図１２のシーケンス図は、デポジット管理部１４により実現される当該処理の流れの一例を示す。図示するように、処理装置１０が所定のタイミングで実績記憶手段に蓄積されている実績情報を診断事業者のサーバ３０に送信する（Ｓ４０）。診断事業者のサーバ３０は、受信した実績情報に基づき、所定の算出方法で蓄電池の残存価値を算出する（Ｓ４１）。そして、診断事業者のサーバ３０は、算出した残存価値を示す残存価値情報を処理装置１０に送信するとともに、デポジットを処理装置１０に預ける（Ｓ４２）。処理装置１０は、受信した残存価値情報を残存価値記憶手段に蓄積するとともに、デポジットを受付ける（Ｓ４３）。以降、当該処理を繰り返す。 The sequence diagram in Figure 12 shows an example of the flow of this process implemented by the deposit management unit 14. As shown in the figure, the processing device 10 transmits performance information stored in the performance storage means to the diagnostic company's server 30 at a predetermined timing (S40). The diagnostic company's server 30 calculates the residual value of the storage battery using a predetermined calculation method based on the received performance information (S41). The diagnostic company's server 30 then transmits residual value information indicating the calculated residual value to the processing device 10, and deposits a deposit with the processing device 10 (S42). The processing device 10 stores the received residual value information in the residual value storage means, and accepts the deposit (S43). This process is then repeated.
　第２の実施形態で説明した通り、診断事業者は、あるユーザの蓄電池の残存価値を繰り返し算出することができる。結果、図６や図８に示すように算出回数が複数となる。デポジット管理部１４は、この複数回の算出各々に対応して、診断事業者からデポジットを受付けてもよい。この場合、算出回数が増えるほど、診断事業者から受付けるデポジットの総額は大きくなる。 As explained in the second embodiment, the diagnostic business operator can repeatedly calculate the residual value of a user's storage battery. As a result, the calculation is performed multiple times as shown in Figures 6 and 8. The deposit management unit 14 may accept a deposit from the diagnostic business operator in response to each of the multiple calculations. In this case, the more calculations are performed, the larger the total amount of deposits accepted from the diagnostic business operator will be.
　他の例として、デポジット管理部１４は、少なくとも１回分の残存価値情報を残存価値記憶手段に蓄積した診断事業者から、所定の定額のデポジットを受付けてもよい。この場合、算出回数に関係なく、各診断事業者から受付けるデポジットは定額である。 As another example, the deposit management unit 14 may accept a fixed deposit from a diagnostic business that has stored at least one piece of residual value information in the residual value storage means. In this case, the deposit accepted from each diagnostic business is a fixed amount, regardless of the number of calculations.
　デポジットを受付ける手段は特段制限されず、あらゆる技術を採用できる。例えば、デポジット管理部１４は、所定の電子マネーを管理するサーバと通信し、所定の電子マネーでデポジットを受付けてもよい。その他、デポジット管理部１４は、所定のクレジットカード会社のサーバと通信し、クレジットカードを用いた支払いでデポジットを受付けてもよい。その他、デポジット管理部１４は、銀行や郵便局などの所定の金融機関へのオンラインでの振り込み処理により、デポジットを受付けてもよい。 There are no particular limitations on the means of accepting deposits, and any technology can be used. For example, the deposit management unit 14 may communicate with a server that manages specified electronic money and accept deposits in the specified electronic money. Alternatively, the deposit management unit 14 may communicate with a server of a specified credit card company and accept deposits by payment using a credit card. Alternatively, the deposit management unit 14 may accept deposits by online transfer processing to a specified financial institution such as a bank or post office.
－デポジットを用いた補償処理－
　まず、発行部１３が発行した診断結果は、蓄電池を備える電動機器の売買で利用されるものとする。具体的には、ユーザ（売手）は、取得した診断結果を添付して、自身の電動機器を中古市場で販売する。ユーザ（買手）は、その診断結果に基づき中古市場で売られている電動機器の蓄電池の状態を確認し、購入するか否かの判断材料とする。 - Compensation using deposits -
First, the diagnosis result issued by the issuing unit 13 is used in the buying and selling of electric devices equipped with a storage battery. Specifically, a user (seller) sells his/her own electric device on the secondhand market by attaching the acquired diagnosis result. A user (buyer) checks the state of the storage battery of the electric device being sold on the secondhand market based on the diagnosis result and uses it as a basis for deciding whether or not to purchase the device.
　図１３のシーケンス図は、デポジット管理部１４により実現される処理の流れの一例を示す。図示するように、処理装置１０はユーザ（買手）のユーザ端末４０から補償リクエストを受付けると（Ｓ５０）、補償の要否及び補償内容を決定する（Ｓ５１）。そして、処理装置１０は、売買で利用された診断結果を算出した算出方法に紐付くデポジット（その診断結果で示される残存価値を算出した診断事業者が預けたデポジット）を利用した補償を実行する（Ｓ５２）。 The sequence diagram in Figure 13 shows an example of the process flow realized by the deposit management unit 14. As shown in the figure, when the processing device 10 receives a compensation request from the user terminal 40 of the user (buyer) (S50), it determines whether compensation is necessary and the compensation content (S51). The processing device 10 then executes compensation using a deposit linked to the calculation method used to calculate the diagnostic results used in the sale (a deposit made by the diagnostic business that calculated the residual value indicated by the diagnostic results) (S52).
○補償リクエストの受付（Ｓ５０）
　ユーザ（買手）は、ユーザ端末４０を操作し、処理装置１０に関わるアプリケーション又はウェブページを介して処理装置１０にアクセスする。そして、ユーザ（買手）は、アプリケーションやウェブページ上のＵＩ画面を介して、補償リクエストを行う。 ○ Receiving a compensation request (S50)
A user (buyer) operates the user terminal 40 to access the processing device 10 via an application or a web page related to the processing device 10. Then, the user (buyer) makes a compensation request via a UI screen on the application or web page.
　なお、当該補償リクエストの操作において、補償をリクエストするユーザの情報（氏名、住所、電話番号など）の入力や、購入した電動機器やそれに備えられた蓄電池に関する情報（それらを識別する情報）の入力や、売手の情報（氏名、住所、電話番号など）の入力や、売買時に売手から提示された診断結果に関する情報（診断結果識別情報や診断結果のコピーなど）の入力等が行われてもよい。 In addition, when making the compensation request, the user may input information about the user requesting compensation (such as name, address, and telephone number), information about the purchased electric device and the storage battery installed therein (information that identifies them), information about the seller (such as name, address, and telephone number), and information about the diagnosis results presented by the seller at the time of sale (such as diagnosis result identification information and a copy of the diagnosis results).
○補償処理（Ｓ５１、Ｓ５２）
　デポジット管理部１４は、診断結果で示される蓄電池の残存価値と、補償リクエスト時点の蓄電池の残存価値とに基づき、補償を行うか否か、及び補償の内容を決定する。具体的には、デポジット管理部１４は、診断結果で示される蓄電池の残存価値と、補償リクエスト時点の蓄電池の残存価値とに基づき、診断結果で示される蓄電池の残存価値の精度を評価する。そして、デポジット管理部１４は、精度が基準レベル以下である場合に補償を行い、精度が基準レベルより上である場合に補償を行わないと判断する。また、補償を行う場合、デポジット管理部１４は、精度と基準レベルとの乖離に基づき、補償内容を決定する。デポジット管理部１４は、乖離が大きいほど、より多い補償金額の支払いを決定することができる。 Compensation process (S51, S52)
The deposit management unit 14 determines whether to provide compensation and the content of the compensation based on the residual value of the storage battery indicated in the diagnosis result and the residual value of the storage battery at the time of the compensation request. Specifically, the deposit management unit 14 evaluates the accuracy of the residual value of the storage battery indicated in the diagnosis result based on the residual value of the storage battery indicated in the diagnosis result and the residual value of the storage battery at the time of the compensation request. The deposit management unit 14 then determines to provide compensation if the accuracy is below a reference level, and not to provide compensation if the accuracy is above the reference level. In addition, if compensation is provided, the deposit management unit 14 determines the content of compensation based on the deviation between the accuracy and the reference level. The larger the deviation, the larger the compensation amount the deposit management unit 14 can decide to pay.
　精度の算出方法は様々であるが、以下一例を説明する。 There are various ways to calculate accuracy, but we will explain one example below.
　例えば、デポジット管理部１４は、診断結果に基づき予測される補償リクエスト時の蓄電池の残存価値から、補償リクエスト時の蓄電地の残存価値の測定値を引いた差（以下、「第１の差」）に基づき、上記精度を算出することができる。第１の差が大きいほど、精度が低くなる。 For example, the deposit management unit 14 can calculate the accuracy based on the difference (hereinafter, the "first difference") obtained by subtracting the measured value of the battery's residual value at the time of the compensation request from the residual value of the battery predicted based on the diagnosis results at the time of the compensation request. The larger the first difference, the lower the accuracy.
　診断結果に基づく補償リクエスト時の蓄電池の残存価値の予測は、例えば以下のようにして算出される。 The predicted remaining value of the storage battery at the time of compensation request based on the diagnosis results is calculated, for example, as follows:
　まず、診断結果は、図９に示すように、現在（診断結果発行時点、又は診断結果で示されている残存価値の算出時点）の蓄電池の残存価値と、将来の所定タイミングでの残存価値の予測値とを含むものとする。デポジット管理部１４は、当該２つの時点の残存価値に基づき、その２つの時点の間の任意の時点における蓄電池の残存価値を予測する。例えば、デポジット管理部１４は、現在（診断結果発行時点、又は診断結果で示されている残存価値の算出時点）の蓄電池の残存価値が将来の所定タイミングでの残存価値の予測値に向かって線形的に減少するという前提のもと、上記予測を行ってもよい。その他、デポジット管理部１４は、所定の減少関数に従い、現在（診断結果発行時点、又は診断結果で示されている残存価値の算出時点）の蓄電池の残存価値が将来の所定タイミングでの残存価値の予測値に向かって減少するという前提のもと、上記予測を行ってもよい。 First, as shown in FIG. 9, the diagnosis result includes the current (at the time of issuance of the diagnosis result or at the time of calculation of the residual value shown in the diagnosis result) residual value of the storage battery and the predicted value of the residual value at a specified time in the future. The deposit management unit 14 predicts the residual value of the storage battery at any time between the two points in time based on the residual values at those two points in time. For example, the deposit management unit 14 may make the above prediction under the assumption that the current (at the time of issuance of the diagnosis result or at the time of calculation of the residual value shown in the diagnosis result) residual value of the storage battery decreases linearly toward the predicted value of the residual value at a specified time in the future. Alternatively, the deposit management unit 14 may make the above prediction under the assumption that the current (at the time of issuance of the diagnosis result or at the time of calculation of the residual value shown in the diagnosis result) residual value of the storage battery decreases toward the predicted value of the residual value at a specified time in the future according to a specified decrease function.
　この場合、デポジット管理部１４は、「第１の差が閾値より大きい（精度が基準レベル以下）」という条件を満たす場合に、補償を行うと決定することができる。そして、デポジット管理部１４は、第１の差と閾値との乖離が大きいほど、より多い補償金額の支払いを決定することができる。 In this case, the deposit management unit 14 can decide to provide compensation if the condition "the first difference is greater than the threshold (the accuracy is equal to or less than the reference level)" is met. The deposit management unit 14 can then decide to pay a larger compensation amount the greater the deviation between the first difference and the threshold.
　なお、デポジット管理部１４は、上記条件に加えて、「所定の使用条件を満たす」等の他の条件をさらに満たす場合に、補償を行うと決定してもよい。使用条件では、蓄電池の予期せぬ劣化が生じないような条件で電動機器及び蓄電池が使用されていることが定義される。使用条件は、例えば電動車両（電動機器）の走行距離が基準値以下や、蓄電池の充電回数が基準値以下等であるが、これらに限定されない。 The deposit management unit 14 may decide to provide compensation if, in addition to the above conditions, other conditions such as "meeting specified usage conditions" are also met. The usage conditions define that the electric equipment and the storage battery are used under conditions that do not cause unexpected deterioration of the storage battery. Examples of usage conditions include, but are not limited to, the mileage of the electric vehicle (electric equipment) being below a reference value, or the number of times the storage battery is charged being below a reference value.
　また、補償を受けるための条件として、上述した「補償リクエスト時の蓄電地の残存価値の測定値」は、所定の測定方法で測定されたものであることが定められてもよい。所定の測定方法は、例えば満充電した状態から完全に放電した際の放電電流の測定値に基づく算出であってもよい。 Furthermore, as a condition for receiving compensation, it may be stipulated that the above-mentioned "measured value of the residual value of the battery at the time of the compensation request" is measured using a specified measurement method. The specified measurement method may be, for example, a calculation based on the measured value of the discharge current when the battery is completely discharged from a fully charged state.
　また、補償を受けるための条件として、「電動車両を購入したユーザ（買手）は、購入した電動車両に備えられた蓄電池の購入後の実績情報を処理装置１０に定期的に送信すること」が定められていてもよい。このようにすれば、処理装置１０は、購入前後のその蓄電池の実績情報を取得することができる。そして、処理装置１０は、これらの情報に基づき、補償を行うか否か、及び補償の内容を決定することができる。例えば、上述した「補償リクエスト時点の蓄電池の残存価値」は、購入後に処理装置１０に送信された「蓄電池の購入後の実績情報」に基づき算出されてもよい。 Furthermore, a condition for receiving compensation may be stipulated that "the user (buyer) who purchased the electric vehicle must periodically transmit post-purchase performance information of the storage battery installed in the purchased electric vehicle to the processing device 10." In this way, the processing device 10 can obtain performance information of the storage battery before and after purchase. Then, based on this information, the processing device 10 can determine whether or not to provide compensation and the content of the compensation. For example, the above-mentioned "residual value of the storage battery at the time of compensation request" may be calculated based on the "post-purchase performance information of the storage battery" transmitted to the processing device 10 after purchase.
　ユーザ（買手）への補償金の支払いは、任意の手段で実現される。例えば、デポジット管理部１４は、所定の電子マネーを管理するサーバと通信し、所定の電子マネーで補償金を支払ってもよい。その他、デポジット管理部１４は、銀行や郵便局などの所定の金融機関へのオンラインでの振り込み処理により、補償金を支払ってもよい。 Compensation may be paid to the user (buyer) by any means. For example, the deposit management unit 14 may communicate with a server that manages a specified electronic money and pay the compensation in the specified electronic money. Alternatively, the deposit management unit 14 may pay the compensation by online transfer processing to a specified financial institution such as a bank or post office.
－デポジットの返金処理－
　デポジット管理部１４は、診断事業者から受付けたデポジットを、所定のタイミングで診断事業者に返金する。デポジット管理部１４は、以下で示す返金例の少なくとも１つを実行することができる。 - Deposit refund process -
The deposit management unit 14 refunds the deposit received from the diagnostic business operator to the diagnostic business operator at a predetermined timing. The deposit management unit 14 can execute at least one of the following refund examples.
○返金例１
　当該例では、所有している電動機器の実績情報を定期的に処理装置１０に送信しているユーザは、任意のタイミングで当該処理を終了する指示を処理装置１０に送信する。ユーザは、例えば自身の電動機器を他のユーザに販売した時点で、当該指示を行う。ユーザは、例えば、ユーザ端末２０を操作し、処理装置１０に関わるアプリケーション又はウェブページを介して処理装置１０にアクセスする。そして、ユーザは、アプリケーションやウェブページ上のＵＩ画面を介して、当該指示を行う。 ○Refund Example 1
In this example, a user who regularly transmits performance information of an electric device owned by the user to the processing device 10 transmits an instruction to end the processing to the processing device 10 at a timing of his/her choice. The user issues the instruction, for example, when the user sells the user's electric device to another user. The user operates, for example, the user terminal 20 to access the processing device 10 via an application or web page related to the processing device 10. The user then issues the instruction via a UI screen on the application or web page.
　デポジット管理部１４は、当該指示を受付けた時点で、一部の診断事業者にデポジットを返金する。具体的には、デポジット管理部１４は、そのユーザに対して発行した診断結果を算出した算出方法以外の算出方法に紐付くデポジット（その診断結果で示される残存価値を算出した診断事業者が預けたデポジット）を、各診断事業者に返金する。 When the deposit management unit 14 receives the instruction, it returns the deposit to some of the diagnostic businesses. Specifically, the deposit management unit 14 returns to each diagnostic business the deposit linked to a calculation method other than the method used to calculate the diagnostic result issued to the user (the deposit made by the diagnostic business that calculated the residual value indicated by the diagnostic result).
　そのユーザに対して発行した診断結果を算出した算出方法に紐付くデポジットは、その後の補償リクエストで利用される可能性がある。このため、このデポジットは、この時点では診断事業者に返金されない。 The deposit associated with the calculation method used to calculate the diagnostic result issued to that user may be used in a subsequent compensation request. For this reason, this deposit will not be refunded to the diagnostic provider at this point.
○返金例２
　当該例は、ユーザに対して発行した診断結果を算出した算出方法に紐付くデポジットの返金例である。デポジット管理部１４は、所定のタイミングが到来したタイミングで、ユーザに対して発行した診断結果を算出した算出方法に紐付くデポジットを診断事業者に返金する。所定のタイミングは、ユーザ（買手）に対する補償義務が終了したタイミング（終了タイミング）である。 ○Refund Example 2
This example is an example of refunding a deposit linked to the calculation method used to calculate the diagnostic result issued to the user. The deposit management unit 14 refunds the deposit linked to the calculation method used to calculate the diagnostic result issued to the user to the diagnostic business operator at a predetermined timing. The predetermined timing is the timing (termination timing) when the compensation obligation to the user (buyer) ends.
　終了タイミングは、例えば、電動機器の購入時点から所定期間経過したタイミングであってもよい。その他、終了タイミングは、診断結果の発行日から所定期間経過したタイミングであってもよい。その他、終了タイミングは、診断結果で示される残存価値を算出した日から所定期間経過したタイミングであってもよい。その他、図９に示すように、診断結果で将来の所定タイミングの残存価値が示される場合、終了タイミングはその将来の所定タイミングであってもよい。 The end timing may be, for example, a timing when a predetermined period has passed from the time of purchase of the electric device. Alternatively, the end timing may be a timing when a predetermined period has passed from the date on which the diagnostic result was issued. Alternatively, the end timing may be a timing when a predetermined period has passed from the date on which the residual value indicated in the diagnostic result was calculated. Alternatively, as shown in FIG. 9, if the diagnostic result indicates a residual value at a predetermined time in the future, the end timing may be that predetermined time in the future.
　デポジット管理部１４は、上述のような終了タイミングの到来を監視している。そして、デポジット管理部１４は、終了タイミングの到来に応じて、ユーザに対して発行した診断結果を算出した算出方法に紐付くデポジットを診断事業者に返金する。 The deposit management unit 14 monitors the arrival of the end timing as described above. Then, when the end timing arrives, the deposit management unit 14 returns to the diagnostic business the deposit linked to the calculation method used to calculate the diagnostic result issued to the user.
　診断事業者へのデポジットの返金は、任意の手段で実現される。例えば、デポジット管理部１４は、所定の電子マネーを管理するサーバと通信し、所定の電子マネーでデポジットを返金してもよい。その他、デポジット管理部１４は、所定のクレジットカード会社のサーバと通信し、デポジットを返金してもよい。その他、デポジット管理部１４は、銀行や郵便局などの所定の金融機関へのオンラインでの振り込み処理により、デポジットを返金してもよい。 The deposit may be returned to the diagnostic business operator by any means. For example, the deposit management unit 14 may communicate with a server that manages a specified electronic money and return the deposit in the specified electronic money. Alternatively, the deposit management unit 14 may communicate with a server of a specified credit card company and return the deposit. Alternatively, the deposit management unit 14 may return the deposit by an online transfer process to a specified financial institution such as a bank or post office.
　本実施形態の処理装置１０のその他の構成は、第１乃至第３の実施形態と同様である。 The rest of the configuration of the processing device 10 in this embodiment is the same as in the first to third embodiments.
　本実施形態の処理装置１０によれば、第１乃至第３の実施形態と同様の作用効果が実現される。また、処理装置１０は、診断事業者よりデポジットを受付け、それを利用して、診断結果を用いた売買で電動機器を購入したユーザ（買手）への補償を行うことができる。結果、デポジットの返金率を高めるため、より精度の高い残存価値を算出するように診断事業者が努めることが期待される。また、ユーザ（買手）は安心して電動機器を購入することができる。 The processing device 10 of this embodiment achieves the same effects as the first to third embodiments. Furthermore, the processing device 10 can accept a deposit from the diagnostic business and use it to compensate the user (buyer) who purchases the electric equipment in a transaction using the diagnostic results. As a result, it is expected that the diagnostic business will strive to calculate the residual value with higher accuracy in order to increase the deposit refund rate. Furthermore, the user (buyer) can purchase the electric equipment with peace of mind.
＜第５の実施形態＞
　本実施形態の処理装置１０は、各算出方法の信頼度を算出する機能を備える。そして、処理装置１０は、この信頼度に基づき、残存価値の算出に対して診断事業者に支払う対価を決定することができる。また、処理装置１０は、当該信頼度を、第３の実施形態で説明した処理で利用することができる。以下、詳細に説明する。 Fifth embodiment
The processing device 10 of this embodiment has a function of calculating the reliability of each calculation method. Then, the processing device 10 can determine the compensation to be paid to the diagnostic company for the calculation of the residual value based on the reliability. Furthermore, the processing device 10 can use the reliability in the process described in the third embodiment. This will be described in detail below.
　図１４に、本実施形態の処理装置１０の機能ブロック図の一例を示す。図示するように、処理装置１０は、実績情報蓄積部１１と、残存価値情報蓄積部１２と、発行部１３と、算出方法評価部１５とを有する。図示しないが、処理装置１０はデポジット管理部１４を有してもよい。 FIG. 14 shows an example of a functional block diagram of the processing device 10 of this embodiment. As shown in the figure, the processing device 10 has a performance information accumulation unit 11, a residual value information accumulation unit 12, an issuing unit 13, and a calculation method evaluation unit 15. Although not shown in the figure, the processing device 10 may also have a deposit management unit 14.
－各算出方法の信頼度の算出－
　算出方法評価部１５は、蓄電池の残存価値を算出するための少なくとも１つの算出方法各々の信頼度を算出する。算出方法評価部１５は、以下で示す算出例の少なくとも１つを実行することができる。 - Calculation of the reliability of each calculation method -
The calculation method evaluation unit 15 calculates the reliability of at least one calculation method for calculating the residual value of the storage battery. The calculation method evaluation unit 15 can execute at least one of the following calculation examples.
○算出例１
　各算出方法で算出された残存価値情報は、現在の残存価値、及び将来の所定タイミングでの残存価値の予測値を含むものとする。 ○Calculation example 1
The residual value information calculated by each calculation method includes the current residual value and a predicted value of the residual value at a predetermined time in the future.
　算出方法評価部１５は、過去に算出された残存価値情報で示される将来の所定タイミングでの残存価値の予測値の精度に基づき、各算出方法の信頼度を算出する。具体的には、算出方法評価部１５は、「過去に算出された残存価値情報で示される将来の所定タイミング」が到来した後に、「過去に算出された残存価値情報で示される将来の所定タイミングでの残存価値の予測値」と「その時の現在の残存価値」との差を求める。そして、算出方法評価部１５は、その差が小さいほど、より高い信頼度を算出する。 The calculation method evaluation unit 15 calculates the reliability of each calculation method based on the accuracy of the predicted value of the remaining value at a specified future time indicated by the previously calculated remaining value information. Specifically, after the arrival of the "specified future time indicated by the previously calculated remaining value information," the calculation method evaluation unit 15 determines the difference between the "predicted value of the remaining value at a specified future time indicated by the previously calculated remaining value information" and the "current remaining value at that time." The smaller the difference, the higher the reliability that the calculation method evaluation unit 15 calculates.
　「その時の現在の残存価値」は、各算出方法で算出されたその時の現在の残存価値であってもよいし、複数の算出方法で算出されたその時の現在の残存価値の統計値（平均値、中央値、最頻値等）であってもよいし、所定の測定方法で測定された値であってもよい。所定の測定方法は、例えば満充電した状態から完全に放電した際の放電電流の測定値に基づく算出であってもよい。 The "current residual value at that time" may be the current residual value at that time calculated using each calculation method, or it may be a statistical value (average, median, mode, etc.) of the current residual value at that time calculated using multiple calculation methods, or it may be a value measured using a specified measurement method. The specified measurement method may be, for example, a calculation based on the measured value of the discharge current when the battery is completely discharged from a fully charged state.
○算出例２
　発行部１３が発行した診断結果は、蓄電池を備える電動機器の売買で利用される。利用方法は、上記実施形態で説明した通りである。 Calculation example 2
The diagnosis result issued by the issuing unit 13 is used in the buying and selling of electrically-driven devices equipped with a storage battery, as described in the above embodiment.
　算出方法評価部１５は、当該売買の結果に基づき、その売買で利用された診断結果で示される残存価値を算出した算出方法の信頼度を算出する。具体的には、算出方法評価部１５は、売買が成立するとより高い信頼度を算出する。そして、売買が成立しなかった場合、低い信頼度を算出する。 The calculation method evaluation unit 15 calculates the reliability of the calculation method used to calculate the residual value indicated by the diagnostic results used in the transaction based on the result of the transaction. Specifically, the calculation method evaluation unit 15 calculates a higher reliability if the transaction is concluded. If the transaction is not concluded, the calculation method evaluation unit 15 calculates a lower reliability.
　例えば、算出方法評価部１５は、売買が成立した延べ回数に基づき、各算出方法の信頼度を算出してもよい。算出方法評価部１５は、売買が成立した延べ回数が多いほど、より高い信頼度を算出する。 For example, the calculation method evaluation unit 15 may calculate the reliability of each calculation method based on the total number of times that trading has been completed. The calculation method evaluation unit 15 calculates a higher reliability the more the total number of times that trading has been completed.
　また、算出方法評価部１５は、売買が成立した延べ回数及び売買が成立しなかった延べ回数に基づき、各算出方法の信頼度を算出してもよい。算出方法評価部１５は、売買が成立した延べ回数が多く、かつ売買が成立する確率が高いほど、より高い信頼度を算出する。売買が成立する確率は、売買が成立した延べ回数を、売買の回数（売買が成立した延べ回数と売買が成立しなかった延べ回数の合計）で割ることで算出される。 The calculation method evaluation unit 15 may also calculate the reliability of each calculation method based on the total number of times a trade was completed and the total number of times a trade was not completed. The calculation method evaluation unit 15 calculates a higher reliability the more times a trade was completed and the higher the probability of a trade being completed. The probability of a trade being completed is calculated by dividing the total number of times a trade was completed by the number of trades (the sum of the total number of times a trade was completed and the total number of times a trade was not completed).
○算出例３
　算出方法評価部１５は、診断結果の発行処理を実行する算出方法として過去に指定された実績、及び算出方法に対する口コミ情報の少なくとも一方に基づき、各算出方法の信頼度を算出する。 Calculation example 3
The calculation method evaluation unit 15 calculates the reliability of each calculation method based on at least one of the track record of being specified in the past as a calculation method for executing the process of issuing a diagnostic result and word-of-mouth information about the calculation method.
　算出方法評価部１５は、診断結果の発行処理を実行する算出方法として過去に指定された回数（図８に示すようなＵＩ画面において過去に指定された回数）が多いほど、より高い信頼度を算出することができる。 The calculation method evaluation unit 15 can calculate a higher reliability the more times a calculation method for executing the process of issuing a diagnostic result has been specified in the past (the more times it has been specified in the past on a UI screen such as that shown in FIG. 8).
　また、口コミ情報では、例えばユーザによる評価（例：５段階評価）が示されてもよい。そして、算出方法評価部１５は、複数のユーザによる評価の統計結果（平均値、中央値、最頻値等）が高いほど、より高い信頼度を算出することができる。 In addition, the word-of-mouth information may show, for example, user ratings (e.g., a 5-point rating). The calculation method evaluation unit 15 can calculate a higher reliability the higher the statistical results (average, median, mode, etc.) of ratings by multiple users.
○算出例４
　発行部１３が発行した診断結果は、蓄電池を備える電動機器の売買で利用される。そして、電動機器を紹介するウェブページで診断結果の詳細が示される。 Calculation Example 4
The diagnostic result issued by the issuing unit 13 is used in the buying and selling of electrically-powered devices equipped with a storage battery. Then, details of the diagnostic result are displayed on a web page introducing the electrically-powered device.
　算出方法評価部１５は、当該ウェブページの閲覧数、及びお気に入り登録数の少なくとも一方に基づき、信頼度を算出することができる。具体的には、算出方法評価部１５は、閲覧数が多いほど、より高い信頼度を算出することができる。また、算出方法評価部１５は、お気に入り登録数が多いほど、より高い信頼度を算出することができる。 The calculation method evaluation unit 15 can calculate the reliability based on at least one of the number of views of the web page and the number of favorites. Specifically, the calculation method evaluation unit 15 can calculate a higher reliability the more the number of views. Also, the calculation method evaluation unit 15 can calculate a higher reliability the more the number of favorites.
○算出例５
　算出方法評価部１５は、第４の実施形態で説明したデポジットを用いた補償を行った実績に基づき、各算出方法の信頼度を算出することができる。具体的には、算出方法評価部１５は、デポジットを用いた補償を行った回数が少ないほど、より高い信頼度を算出することができる。また、算出方法評価部１５は、デポジットを用いた補償の金額の合計が低いほど、より高い信頼度を算出することができる。 Calculation Example 5
The calculation method evaluation unit 15 can calculate the reliability of each calculation method based on the track record of compensation using the deposit described in the fourth embodiment. Specifically, the calculation method evaluation unit 15 can calculate a higher reliability the fewer the number of times compensation using the deposit is performed. Also, the calculation method evaluation unit 15 can calculate a higher reliability the lower the total amount of compensation using the deposit.
○算出例６
　算出方法評価部１５は、上述した算出例１乃至５の中の任意の複数に基づき、各算出方法の信頼度を算出することができる。具体的には、算出方法評価部１５は、複数の算出例各々で信頼度を算出した後、それらを統合して最終的な信頼度を算出する。統合の仕方は特段制限されず、平均、加重平均、足し合わせる、掛け合わせる等が例示されるが、これらに限定されない。 Calculation Example 6
The calculation method evaluation unit 15 can calculate the reliability of each calculation method based on any of the above-mentioned calculation examples 1 to 5. Specifically, the calculation method evaluation unit 15 calculates the reliability for each of the calculation examples, and then integrates them to calculate the final reliability. The method of integration is not particularly limited, and examples include averaging, weighted averaging, adding up, multiplying, etc., but is not limited to these.
－残存価値の算出に対して診断事業者に支払う対価の決定―
　本実施形態では、残存価値情報蓄積部１２が残存価値情報を取得して残存価値記憶手段に蓄積する毎に、残存価値情報を算出した診断事業者各々に所定の対価が支払われる。算出方法評価部１５は、上述のようにして算出した各算出方法の信頼度に基づき、当該対価を決定する。算出方法評価部１５は、信頼度が高いほど、より高い対価を決定する。図１５に、算出方法評価部１５が決定した内容の一例を模式的に示す。 - Determination of the fee to be paid to diagnostic companies for calculating residual values -
In this embodiment, each time the residual value information accumulation unit 12 acquires residual value information and accumulates it in the residual value storage means, a predetermined compensation is paid to each diagnostic business that calculated the residual value information. The calculation method evaluation unit 15 determines the compensation based on the reliability of each calculation method calculated as described above. The calculation method evaluation unit 15 determines a higher compensation as the reliability is higher. Figure 15 shows a schematic example of the content determined by the calculation method evaluation unit 15.
－信頼度の他の利用－
　また、第３の実施形態で説明した通り、発行部１３は、少なくとも１つの算出方法で算出された残存価値に紐付けて、各算出方法の特性情報をユーザに向けて出力することができる。その後、発行部１３は、少なくとも１つの算出方法で算出された残存価値を指定するユーザ入力を受付け、当該ユーザ入力で指定された残存価値を示す診断結果の発行処理を実行する。そして、「各算出方法の特性情報」は、各算出方法の信頼度を含むことができる。 --Other uses of reliability--
As described in the third embodiment, the issuing unit 13 can output characteristic information of each calculation method to a user in association with the residual value calculated by at least one calculation method. After that, the issuing unit 13 accepts a user input specifying the residual value calculated by at least one calculation method, and executes an issuing process of a diagnosis result indicating the residual value specified by the user input. The "characteristic information of each calculation method" can include the reliability of each calculation method.
　発行部１３は、算出方法評価部１５が算出した信頼度を「各算出方法の特性情報」として利用し、上記処理を行うことができる。 The issuing unit 13 can use the reliability calculated by the calculation method evaluation unit 15 as "characteristic information of each calculation method" to perform the above processing.
　本実施形態の処理装置１０のその他の構成は、第１乃至第４の実施形態と同様である。 The rest of the configuration of the processing device 10 in this embodiment is the same as in the first to fourth embodiments.
　本実施形態の処理装置１０によれば、第１乃至第４の実施形態と同様の作用効果が実現される。また、処理装置１０は、各算出方法の信頼度を算出し、この信頼度に基づき、残存価値の算出に対して診断事業者に支払う対価を決定することができる。また、処理装置１０は、この信頼度をユーザに向けて提示することができる。結果、より信頼度を高めるように診断事業者が努めることが期待される。 The processing device 10 of this embodiment achieves the same effects as the first to fourth embodiments. The processing device 10 can also calculate the reliability of each calculation method and determine the compensation to be paid to the diagnostic business for the calculation of the residual value based on this reliability. The processing device 10 can also present this reliability to the user. As a result, it is expected that the diagnostic business will make efforts to further increase the reliability.
＜変形例＞
「変形例１」
　上記実施形態では、複数の診断事業者による複数の算出方法で算出された蓄電池の残存価値が残存価値記憶手段に蓄積される前提で説明したが、１つの診断事業者による１つの算出方法で算出された蓄電池の残存価値が残価値記憶手段に蓄積されてもよい。 <Modification>
"Variation 1"
In the above embodiment, the residual value of a storage battery calculated using multiple calculation methods by multiple diagnostic providers is assumed to be accumulated in the residual value storage means, but the residual value of a storage battery calculated using one calculation method by one diagnostic provider may also be accumulated in the residual value storage means.
「変形例２」
　上記実施形態では、１つの蓄電池に対して各算出方法で繰り返し残存価値を算出するものとしたが、１つの蓄電池に対し各算出方法で１回のみ残存価値を算出してもよい。例えば、処理装置１０は、ユーザから診断結果の発行リクエストを受付けると、それに応じて少なくとも１つのサーバ３０（診断事業者のサーバ）にそれまでに蓄積された実績情報を送信し、残存価値の算出をリクエストしてもよい。そして、処理装置１０は、リクエストに応じて算出された残存価値をユーザに提示し、その中から指定された少なくとも１つを示す診断結果を発行してもよい。 "Variation 2"
In the above embodiment, the residual value is calculated repeatedly for one storage battery using each calculation method, but the residual value may be calculated only once for one storage battery using each calculation method. For example, when the processing device 10 receives a request for issuing a diagnostic result from a user, the processing device 10 may transmit the performance information accumulated up to that point to at least one server 30 (a server of the diagnostic business operator) in response to the request, and request the calculation of the residual value. The processing device 10 may then present the residual values calculated in response to the request to the user, and issue a diagnostic result indicating at least one selected from the residual values.
　以上、図面を参照して本発明の実施形態について述べたが、これらは本発明の例示であり、上記以外の様々な構成を採用することもできる。上述した実施形態の構成は、互いに組み合わせたり、一部の構成を他の構成に入れ替えたりしてもよい。また、上述した実施形態の構成は、趣旨を逸脱しない範囲内において種々の変更を加えてもよい。また、上述した各実施形態や変形例に開示される構成や処理を互いに組み合わせてもよい。 The above describes the embodiments of the present invention with reference to the drawings, but these are merely examples of the present invention, and various configurations other than those described above can also be adopted. The configurations of the above-mentioned embodiments may be combined with each other, or some of the configurations may be replaced with other configurations. Furthermore, the configurations of the above-mentioned embodiments may be modified in various ways without departing from the spirit of the invention. Furthermore, the configurations and processes disclosed in the above-mentioned embodiments and modified examples may be combined with each other.
　また、上述の説明で用いた複数のシーケンス図では、複数の工程（処理）が順番に記載されているが、各実施の形態で実行される工程の実行順序は、その記載の順番に制限されない。各実施の形態では、図示される工程の順番を内容的に支障のない範囲で変更することができる。また、上述の各実施の形態は、内容が相反しない範囲で組み合わせることができる。 In addition, in the sequence diagrams used in the above explanation, multiple steps (processing) are described in order, but the order in which the steps are executed in each embodiment is not limited to the order described. In each embodiment, the order of the steps shown in the diagram can be changed to the extent that does not cause any problems in terms of the content. In addition, the above-mentioned embodiments can be combined to the extent that the content is not contradictory.
　なお、本明細書において、「取得」とは、ユーザ入力に基づき、又は、プログラムの指示に基づき、「自装置が他の装置や記憶媒体に格納されているデータを取りに行くこと（能動的な取得）」、たとえば、他の装置にリクエストまたは問い合わせして受信すること、他の装置や記憶媒体にアクセスして読み出すこと等、および、ユーザ入力に基づき、又は、プログラムの指示に基づき、「自装置に他の装置から出力されるデータを入力すること（受動的な取得）」、たとえば、配信（または、送信、プッシュ通知等）されるデータを受信すること、また、受信したデータまたは情報の中から選択して取得すること、及び、「データを編集（テキスト化、データの並び替え、一部データの抽出、ファイル形式の変更等）などして新たなデータを生成し、当該新たなデータを取得すること」の少なくともいずれか一方を含む。 In this specification, "acquisition" includes at least one of the following: "the device retrieves data stored in another device or storage medium (active acquisition)" based on user input or program instructions, such as receiving data by making a request or inquiry to another device, or accessing and reading out another device or storage medium, and "inputting data output from another device to the device (passive acquisition)" based on user input or program instructions, such as receiving data that is distributed (or transmitted, push notification, etc.), and selecting and acquiring data from among the received data or information, and "editing data (converting it to text, rearranging data, extracting some data, changing the file format, etc.) to generate new data and acquire the new data."
　上記の実施形態の一部または全部は、以下の付記のようにも記載されうるが、以下に限られない。
１．　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積する実績情報蓄積手段と、
　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積する残存価値情報蓄積手段と、
　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する発行手段と、
を有する処理装置。
２．　前記残存価値情報蓄積手段は、
　　前記実績情報に基づき前記残存価値情報を算出する外部装置に、前記実績記憶手段に蓄積された前記実績情報を送信し、
　　前記外部装置から前記残存価値情報を取得する１に記載の処理装置。
３．　前記残存価値情報蓄積手段は、
　　複数の前記外部装置に前記実績情報を送信し、複数の前記外部装置から前記残存価値情報を取得し、
　複数の前記外部装置は、
　　各々固有の前記算出方法で、前記残存価値情報を算出する２に記載の処理装置。
４．　前記実績情報蓄積手段は、
　　前記蓄電池の前記実績情報を繰り返し取得し、前記実績記憶手段に蓄積し、
　前記残存価値情報蓄積手段は、
　　複数の前記外部装置に各々に固有の頻度で前記実績情報を送信し、前記残存価値情報を取得し、
　複数の前記外部装置は、
　　各々に固有の頻度で、前記残存価値情報を算出する２又は３に記載の処理装置。
５．　前記残存価値情報は、現在の残存価値、及び将来の所定タイミングでの残存価値の予測値を含む１から４のいずれかに記載の処理装置。
６．　前記残存価値情報蓄積手段が前記残存価値情報を取得して前記残存価値記憶手段に蓄積すると、所定のデポジットを受付けるデポジット管理手段をさらに有する１から５のいずれかに記載の処理装置。
７．　発行した前記診断結果は、前記蓄電池を備える電動機器の売買で利用され、
　前記デポジット管理手段は、前記電動機器の買手からの補償リクエストに応じて、その前記電動機器の売買で利用された前記診断結果を算出した前記算出方法に紐付く前記デポジットを用いた補償処理を実行する６に記載の処理装置。
８．　前記診断結果は、将来の所定タイミングでの残存価値の予測値を含み、
　前記デポジット管理手段は、前記電動機器が備える前記蓄電池の前記補償リクエスト時点の残存価値と前記予測値とに基づき、補償を行うか否か、及び補償の内容を決定する７に記載の処理装置。
９．　前記発行手段は、
　　少なくとも１つの前記算出方法で算出された前記残存価値に紐付けて、各前記算出方法の特性情報をユーザに向けて出力した後、少なくとも１つの前記算出方法で算出された前記残存価値を指定するユーザ入力を受付け、前記ユーザ入力で指定された前記残存価値を示す診断結果の発行処理を実行する１から８のいずれかに記載の処理装置。
１０．　前記特性情報は、前記蓄電池に関連してそれまでに行った前記残存価値情報の算出回数、信頼度、前記診断結果の発行処理を実行する前記算出方法として過去に指定された実績、口コミ情報、及び発行した前記診断結果を利用した所定処理の実績の中の少なくとも１つを示す９に記載の処理装置。
１１．　少なくとも１つの前記算出方法各々の信頼度を算出する算出方法評価手段をさらに有する１から１０のいずれかに記載の処理装置。
１２．　前記残存価値情報は、現在の残存価値、及び将来の所定タイミングでの残存価値の予測値を含み、
　前記算出方法評価手段は、過去に算出された前記残存価値情報で示される将来の所定タイミングでの残存価値の予測値と、その所定タイミングにおける残存価値との差に基づき、前記信頼度を算出する１１に記載の処理装置。
１３．　発行した前記診断結果は、前記蓄電池を備える電動機器の売買で利用され、
　前記算出方法評価手段は、前記売買の結果に基づき、前記信頼度を算出する１１又は１２に記載の処理装置。
１４．　前記算出方法評価手段は、前記診断結果の発行処理を実行する前記算出方法として過去に指定された実績、及び前記算出方法に対する口コミ情報の少なくとも一方に基づき、前記信頼度を算出する１１から１３のいずれかに記載の処理装置。
１５．　発行した前記診断結果は、前記蓄電池を備える電動機器の売買で利用され、
　前記電動機器を紹介するウェブページで前記診断結果の詳細が示され、
　前記算出方法評価手段は、
　　前記ウェブページの閲覧数、及びお気に入り登録数の少なくとも一方に基づき、前記信頼度を算出する１１から１４のいずれかに記載の処理装置。
１６．　前記算出方法評価手段は、前記残存価値情報蓄積手段が前記残存価値情報を取得して前記残存価値記憶手段に蓄積する毎に前記残存価値情報を算出した診断事業者各々に支払われる対価を、前記信頼度に基づき決定する１１から１４のいずれかに記載の処理装置。
１７．　１つ以上のコンピュータが、
　　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積し、
　　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積し、
　　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する処理方法。
１８．　コンピュータを、
　　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積する実績情報蓄積手段、
　　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積する残存価値情報蓄積手段、
　　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する発行手段、
として機能させるプログラムを記録した記録媒体。
１９．　コンピュータを、
　　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積する実績情報蓄積手段、
　　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積する残存価値情報蓄積手段、
　　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する発行手段、
として機能させるプログラム。 A part or all of the above-described embodiments may be described as, but is not limited to, the following supplementary notes.
1. A performance information storage means for acquiring performance information relating to the usage performance of the storage battery and storing the information in a performance storage means;
a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
A processing device having
2. The residual value information storage means
transmitting the performance information stored in the performance storage means to an external device that calculates the residual value information based on the performance information;
2. The processing device according to claim 1, wherein the processing device acquires the residual value information from the external device.
3. The residual value information storage means
Transmitting the performance information to a plurality of the external devices and acquiring the residual value information from the plurality of the external devices;
The plurality of external devices include
3. The processing device according to claim 2, which calculates the residual value information using the calculation method unique to each device.
4. The performance information storage means is
Repeatedly acquiring the performance information of the storage battery and storing it in the performance storage means;
The residual value information accumulation means
Transmitting the performance information to a plurality of external devices at a frequency specific to each of the external devices, and acquiring the residual value information;
The plurality of external devices include
4. The processing device according to claim 2 or 3, which calculates the residual value information at a frequency specific to each device.
5. The processing device according to any one of 1 to 4, wherein the remaining value information includes a current remaining value and a predicted value of a remaining value at a predetermined time in the future.
6. The processing device according to any one of 1 to 5, further comprising a deposit management means for accepting a predetermined deposit when the remaining value information accumulation means acquires the remaining value information and accumulates it in the remaining value storage means.
7. The issued diagnosis result is used in the buying and selling of the electrically-powered device equipped with the storage battery,
The processing device described in 6, wherein the deposit management means executes compensation processing using the deposit linked to the calculation method used to calculate the diagnosis result used in the sale and purchase of the electric equipment in response to a compensation request from a buyer of the electric equipment.
8. The diagnosis result includes a predicted value of a residual value at a predetermined time in the future,
The processing device according to claim 7, wherein the deposit management means determines whether or not to provide compensation and the content of the compensation based on the residual value of the storage battery equipped in the electrically-driven equipment at the time of the compensation request and the predicted value.
9. The issuing means is
A processing device described in any one of 1 to 8, which outputs characteristic information of each of the calculation methods to a user in association with the residual value calculated using at least one of the calculation methods, accepts user input specifying the residual value calculated using at least one of the calculation methods, and executes a process of issuing a diagnostic result indicating the residual value specified by the user input.
10. The processing device according to 9, wherein the characteristic information indicates at least one of the number of calculations of the residual value information performed so far in relation to the storage battery, reliability, a track record designated in the past as the calculation method for executing the process of issuing the diagnostic result, word-of-mouth information, and a track record of a predetermined process using the issued diagnostic result.
11. The processing device according to any one of 1 to 10, further comprising a calculation method evaluation means for calculating the reliability of at least one of the calculation methods.
12. The residual value information includes a current residual value and a predicted value of a residual value at a predetermined time in the future;
The processing device described in 11, wherein the calculation method evaluation means calculates the reliability based on the difference between a predicted value of the remaining value at a specified future timing indicated by the remaining value information calculated in the past and the remaining value at that specified timing.
13. The issued diagnosis result is used in the purchase and sale of the electrically-powered device equipped with the storage battery,
13. The processing device according to claim 11 or 12, wherein the calculation method evaluation means calculates the reliability based on the results of the buying and selling.
14. The processing device according to any one of 11 to 13, wherein the calculation method evaluation means calculates the reliability based on at least one of a track record that has been specified in the past as the calculation method for executing the process of issuing the diagnostic result and word-of-mouth information on the calculation method.
15. The issued diagnosis result is used in the purchase and sale of the electrically-powered device equipped with the storage battery,
details of the diagnosis result are displayed on a web page introducing the electrically-powered device;
The calculation method evaluation means includes:
15. The processing device according to any one of claims 11 to 14, wherein the reliability is calculated based on at least one of the number of views of the web page and the number of times the web page is registered as a favorite.
16. The processing device according to any one of 11 to 14, wherein the calculation method evaluation means determines a compensation to be paid to each diagnostic business operator that calculated the remaining value information each time the remaining value information accumulation means acquires the remaining value information and accumulates it in the remaining value storage means, based on the reliability.
17. One or more computers:
Acquire performance information regarding the performance of the storage battery and store it in a performance storage means;
obtaining residual value information regarding a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
A processing method that executes a process of issuing a diagnostic result indicating at least one specified one of the residual values calculated by at least one of the calculation methods.
18. A computer
a performance information storage means for acquiring performance information relating to the performance of the storage battery and storing the information in a performance storage means;
a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
A recording medium on which a program that functions as a
19. A computer
a performance information storage means for acquiring performance information relating to the performance of the storage battery and storing the information in a performance storage means;
a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
A program that functions as a
　１０　　処理装置
　１１　　実績情報蓄積部
　１２　　残存価値情報蓄積部
　１３　　発行部
　１４　　デポジット管理部
　１５　　算出方法評価部
　２０　　ユーザ端末
　３０　　サーバ
　４０　　ユーザ端末
　１Ａ　　プロセッサ
　２Ａ　　メモリ
　３Ａ　　入出力Ｉ／Ｆ
　４Ａ　　周辺回路
　５Ａ　　バス REFERENCE SIGNS LIST 10 Processing device 11 Performance information storage unit 12 Residual value information storage unit 13 Issuance unit 14 Deposit management unit 15 Calculation method evaluation unit 20 User terminal 30 Server 40 User terminal 1A Processor 2A Memory 3A Input/output I/F
4A Peripheral circuit 5A Bus

Claims (18)

  1. 　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積する実績情報蓄積手段と、
    　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積する残存価値情報蓄積手段と、
    　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する発行手段と、
    を有する処理装置。     a performance information storage means for acquiring performance information relating to a performance of the storage battery and storing the information in a performance storage means;
    a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
    an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
    A processing device having
  2. 　前記残存価値情報蓄積手段は、
    　　前記実績情報に基づき前記残存価値情報を算出する外部装置に、前記実績記憶手段に蓄積された前記実績情報を送信し、
    　　前記外部装置から前記残存価値情報を取得する請求項１に記載の処理装置。     The residual value information accumulation means
    transmitting the performance information stored in the performance storage means to an external device that calculates the residual value information based on the performance information;
    The processing device according to claim 1 , wherein the residual value information is obtained from the external device.
  3. 　前記残存価値情報蓄積手段は、
    　　複数の前記外部装置に前記実績情報を送信し、複数の前記外部装置から前記残存価値情報を取得し、
    　複数の前記外部装置は、
    　　各々固有の前記算出方法で、前記残存価値情報を算出する請求項２に記載の処理装置。     The residual value information accumulation means
    Transmitting the performance information to a plurality of the external devices and acquiring the residual value information from the plurality of the external devices;
    The plurality of external devices include
    The processing device according to claim 2 , wherein the residual value information is calculated using the calculation method unique to each of the processing devices.
  4. 　前記実績情報蓄積手段は、
    　　前記蓄電池の前記実績情報を繰り返し取得し、前記実績記憶手段に蓄積し、
    　前記残存価値情報蓄積手段は、
    　　複数の前記外部装置に各々に固有の頻度で前記実績情報を送信し、前記残存価値情報を取得し、
    　複数の前記外部装置は、
    　　各々に固有の頻度で、前記残存価値情報を算出する請求項２又は３に記載の処理装置。     The performance information accumulation means includes:
    Repeatedly acquiring the performance information of the storage battery and storing it in the performance storage means;
    The residual value information accumulation means
    Transmitting the performance information to a plurality of external devices at a frequency specific to each of the external devices, and acquiring the residual value information;
    The plurality of external devices include
    The processing device according to claim 2 or 3, wherein the residual value information is calculated at a frequency specific to each of the devices.
  5. 　前記残存価値情報は、現在の残存価値、及び将来の所定タイミングでの残存価値の予測値を含む請求項１から４のいずれか１項に記載の処理装置。 The processing device according to any one of claims 1 to 4, wherein the residual value information includes a current residual value and a predicted value of the residual value at a specified time in the future.
  6. 　前記残存価値情報蓄積手段が前記残存価値情報を取得して前記残存価値記憶手段に蓄積すると、所定のデポジットを受付けるデポジット管理手段をさらに有する請求項１から５のいずれか１項に記載の処理装置。 The processing device according to any one of claims 1 to 5, further comprising a deposit management means for accepting a predetermined deposit when the residual value information accumulation means acquires the residual value information and accumulates it in the residual value storage means.
  7. 　発行した前記診断結果は、前記蓄電池を備える電動機器の売買で利用され、
    　前記デポジット管理手段は、前記電動機器の買手からの補償リクエストに応じて、その前記電動機器の売買で利用された前記診断結果を算出した前記算出方法に紐付く前記デポジットを用いた補償処理を実行する請求項６に記載の処理装置。     The issued diagnosis result is used in the buying and selling of an electrically-driven device including the storage battery;
    The processing device according to claim 6, wherein the deposit management means executes compensation processing using the deposit linked to the calculation method used to calculate the diagnosis result used in the sale and purchase of the electric equipment in response to a compensation request from a buyer of the electric equipment.
  8. 　前記診断結果は、将来の所定タイミングでの残存価値の予測値を含み、
    　前記デポジット管理手段は、前記電動機器が備える前記蓄電池の前記補償リクエスト時点の残存価値と前記予測値とに基づき、補償を行うか否か、及び補償の内容を決定する請求項７に記載の処理装置。     The diagnosis result includes a predicted value of a residual value at a predetermined time in the future,
    The processing device according to claim 7 , wherein the deposit management means determines whether or not to provide compensation and the content of the compensation based on the residual value of the storage battery equipped in the electrically-powered equipment at the time of the compensation request and the predicted value.
  9. 　前記発行手段は、
    　　少なくとも１つの前記算出方法で算出された前記残存価値に紐付けて、各前記算出方法の特性情報をユーザに向けて出力した後、少なくとも１つの前記算出方法で算出された前記残存価値を指定するユーザ入力を受付け、前記ユーザ入力で指定された前記残存価値を示す診断結果の発行処理を実行する請求項１から８のいずれか１項に記載の処理装置。     The issuing means is
    9. A processing device according to any one of claims 1 to 8, which outputs characteristic information of each of the calculation methods to a user in association with the residual value calculated using at least one of the calculation methods, accepts user input specifying the residual value calculated using at least one of the calculation methods, and executes a process of issuing a diagnostic result indicating the residual value specified by the user input.
  10. 　前記特性情報は、前記蓄電池に関連してそれまでに行った前記残存価値情報の算出回数、信頼度、前記診断結果の発行処理を実行する前記算出方法として過去に指定された実績、口コミ情報、及び発行した前記診断結果を利用した所定処理の実績の中の少なくとも１つを示す請求項９に記載の処理装置。 The processing device according to claim 9, wherein the characteristic information indicates at least one of the number of calculations of the residual value information performed so far in relation to the storage battery, the reliability, the track record specified in the past as the calculation method for executing the process of issuing the diagnostic result, word-of-mouth information, and the track record of a specified process using the issued diagnostic result.
  11. 　少なくとも１つの前記算出方法各々の信頼度を算出する算出方法評価手段をさらに有する請求項１から１０のいずれか１項に記載の処理装置。 The processing device according to any one of claims 1 to 10, further comprising a calculation method evaluation means for calculating the reliability of at least one of the calculation methods.
  12. 　前記残存価値情報は、現在の残存価値、及び将来の所定タイミングでの残存価値の予測値を含み、
    　前記算出方法評価手段は、過去に算出された前記残存価値情報で示される将来の所定タイミングでの残存価値の予測値と、その所定タイミングにおける残存価値との差に基づき、前記信頼度を算出する請求項１１に記載の処理装置。     The residual value information includes a current residual value and a predicted value of a residual value at a predetermined time in the future,
    The processing device according to claim 11, wherein the calculation method evaluation means calculates the reliability based on a difference between a predicted value of a remaining value at a predetermined future timing indicated by the remaining value information calculated in the past and the remaining value at the predetermined timing.
  13. 　発行した前記診断結果は、前記蓄電池を備える電動機器の売買で利用され、
    　前記算出方法評価手段は、前記売買の結果に基づき、前記信頼度を算出する請求項１１又は１２に記載の処理装置。     The issued diagnosis result is used in the buying and selling of an electrically-driven device including the storage battery;
    The processing device according to claim 11 or 12, wherein the calculation method evaluation means calculates the reliability based on the results of the buying and selling.
  14. 　前記算出方法評価手段は、前記診断結果の発行処理を実行する前記算出方法として過去に指定された実績、及び前記算出方法に対する口コミ情報の少なくとも一方に基づき、前記信頼度を算出する請求項１１から１３のいずれか１項に記載の処理装置。 The processing device according to any one of claims 11 to 13, wherein the calculation method evaluation means calculates the reliability based on at least one of a track record previously specified as the calculation method for executing the process of issuing the diagnostic result and word-of-mouth information about the calculation method.
  15. 　発行した前記診断結果は、前記蓄電池を備える電動機器の売買で利用され、
    　前記電動機器を紹介するウェブページで前記診断結果の詳細が示され、
    　前記算出方法評価手段は、
    　　前記ウェブページの閲覧数、及びお気に入り登録数の少なくとも一方に基づき、前記信頼度を算出する請求項１１から１４のいずれか１項に記載の処理装置。     The issued diagnosis result is used in the buying and selling of an electrically-driven device including the storage battery;
    details of the diagnosis result are displayed on a web page introducing the electrically-powered device;
    The calculation method evaluation means includes:
    The processing device according to claim 11 , wherein the reliability is calculated based on at least one of the number of times the web page is viewed and the number of times the web page is registered as a favorite.
  16. 　前記算出方法評価手段は、前記残存価値情報蓄積手段が前記残存価値情報を取得して前記残存価値記憶手段に蓄積する毎に前記残存価値情報を算出した診断事業者各々に支払われる対価を、前記信頼度に基づき決定する請求項１１から１４のいずれか１項に記載の処理装置。 The processing device according to any one of claims 11 to 14, wherein the calculation method evaluation means determines the compensation to be paid to each diagnostic business that calculated the residual value information each time the residual value information accumulation means acquires the residual value information and accumulates it in the residual value storage means, based on the reliability.
  17. 　１つ以上のコンピュータが、
    　　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積し、
    　　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積し、
    　　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する処理方法。     One or more computers
    Acquire performance information regarding the performance of the storage battery and store it in a performance storage means;
    obtaining residual value information regarding a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
    A processing method that executes a process of issuing a diagnostic result indicating at least one specified one of the residual values calculated by at least one of the calculation methods.
  18. 　コンピュータを、
    　　蓄電池の利用実績に関する実績情報を取得し、実績記憶手段に蓄積する実績情報蓄積手段、
    　　前記実績情報に基づき少なくとも１つの算出方法で算出された前記蓄電池の残存価値に関する残存価値情報を取得し、残存価値記憶手段に蓄積する残存価値情報蓄積手段、
    　　少なくとも１つの前記算出方法で算出された前記残存価値の中の指定された少なくとも１つを示す診断結果の発行処理を実行する発行手段、
    として機能させるプログラムを記録した記録媒体。     Computer,
    a performance information storage means for acquiring performance information relating to the performance of the storage battery and storing the information in a performance storage means;
    a residual value information storage means for acquiring residual value information on a residual value of the storage battery calculated by at least one calculation method based on the performance information, and storing the information in a residual value storage means;
    an issuing means for executing an issuing process of a diagnostic result indicating at least one designated one of the residual values calculated by at least one of the calculation methods;
    A recording medium on which a program that functions as a
PCT/JP2022/037242 2022-10-05 2022-10-05 Processing device, processing method and recording medium WO2024075203A1 (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012083179A (en) * 2010-10-08 2012-04-26 Toyota Motor Corp Battery monitoring device, battery monitoring system, battery diagnosis method for vehicle
JP2019192630A (en) * 2018-04-27 2019-10-31 パナソニック インテレクチュアル プロパティ コーポレーション オブアメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ Control method, server, on-vehicle device and program
JP2022068612A (en) * 2020-10-22 2022-05-10 株式会社日本総合研究所 Information processing method and information processing apparatus

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012083179A (en) * 2010-10-08 2012-04-26 Toyota Motor Corp Battery monitoring device, battery monitoring system, battery diagnosis method for vehicle
JP2019192630A (en) * 2018-04-27 2019-10-31 パナソニック インテレクチュアル プロパティ コーポレーション オブアメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ Control method, server, on-vehicle device and program
JP2022068612A (en) * 2020-10-22 2022-05-10 株式会社日本総合研究所 Information processing method and information processing apparatus

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