TWI568132B - Information processing apparatus, information processing method, program and recording medium - Google Patents

Description

Information processing device, information processing method, program and recording medium

The present invention relates to an information processing device, an information processing method, a program, and a recording medium that can accurately predict a power consumption amount by using a power consumption body of a battery exchange station.

A power consumer such as an electric vehicle represented by an electric vehicle includes a rechargeable battery, and the electric vehicle charges the battery in a charging station installed at home or in various places.

Here, charging of the battery is performed by predicting the amount of power consumption used in the next electric vehicle, and based on the predicted amount of power consumption.

For example, Patent Document 1 discloses an electric vehicle including an arithmetic unit that predicts a power consumption amount by multiplying a power consumption amount per unit distance, that is, an electric power meter, by a travel distance.

Further, Patent Document 2 discloses a charge schedule management device including an estimation unit that estimates a charge amount that is minimum required at the time of next use based on a user's use history of the electric vehicle.

However, in recent years, when the remaining capacity of the battery of an electric vehicle such as an electric vehicle is reduced, a battery exchange method (battery swap method) has been proposed in order to suppress the standby time of the user (see, for example, Patent Document 3). In the battery replacement method, a battery having a small remaining capacity in a state of being mounted on an electric vehicle is not charged, but a battery having a small remaining capacity mounted on the electric vehicle is replaced with a previously charged battery in the battery exchange station. Battery. Prior art literature

[Patent Document 1] Japanese Patent Laid-Open Publication No. 2013-90360 (published on May 13, 2013) Patent Document 2: Japanese Patent Laid-Open No. Hei. No. 2014-96928 (published on May 22, 2014) Patent Document 3: Japanese Patent Laid-Open No. 2012-6591 (published on January 12, 2012)

[Problems to be solved by the invention]

In the battery exchange method, in order to accept a customer's request for replacement of a battery, it is necessary to prepare a battery that has been charged in advance in the battery exchange station. Moreover, the battery that has been charged must have a capacity above the power consumption required by the customer. Therefore, it is necessary to predict the amount of power consumption required by the customer.

Here, in Patent Document 1 and Patent Document 2, the combination of the battery and the electric vehicle is the same every time. On the other hand, in the battery exchange method, since a plurality of electric vehicles use a plurality of batteries, the combination of the electric vehicle and the battery is different each time. Moreover, the battery deteriorates with use, and as the deterioration progresses, the maximum value of the outputtable current decreases.

Therefore, when a new battery is used, the maximum value of the current that can be output is large, and the amount of power used per unit time increases. Therefore, when a battery whose deterioration has been intensified is used, the current value that can be output is lower than that of the new battery, and thus the amount of used electric power per unit time sometimes becomes small. As such, the amount of power used also depends on the degree of deterioration of the battery.

Therefore, even if an electric vehicle travels for the same time, the amount of power consumption varies each time due to the use of a different battery. In the case where the combination of the battery and the electric vehicle is exchanged as in the case of the battery exchange method, it is difficult to accurately predict the power consumption amount even if the methods of Patent Document 1 and Patent Document 2 are used.

The present invention has been made in view of the above problems, and an object thereof is to provide an information processing apparatus capable of accurately predicting a power consumption amount with respect to a power consuming body of a battery exchange station. [Means for solving the problem]

In order to solve the above problems, the present invention is an information processing device which is an information processing device for a station that lends a battery to a power consuming body, wherein the battery in the station is classified into a plurality of divisions preset in accordance with characteristics of the battery. Any one of the information processing devices includes a history information acquisition unit and an average power calculation unit. The history information acquisition unit acquires history information for each user of each power consuming body or power consuming body, the history information corresponding to the division to which the battery that was borrowed in the past is attached, the loan period of the battery, and History information of the amount of power consumption used during the lending period. The average power calculation unit calculates average power for each of the power consumers or the power consumers for each of the plurality of divisions based on the loan period and the power consumption amount corresponding to the division, and the average power indicates that the usage belongs to The amount of power consumed per unit time when the battery is distinguished.

According to the above configuration, it is possible to calculate, for each customer, an average power for each customer that is set in advance based on the battery characteristics, and the average power indicates the amount of power consumed by the customer who rents the battery per unit time. Therefore, by predicting the amount of electric power consumed by the customer based on the calculated average electric power, even if the combination of the battery and the electric power consumer is exchanged, the electric power consumption amount can be accurately predicted.

Furthermore, the information processing apparatus of the present invention may further include: a lending predetermined period acquisition unit that acquires a predetermined rental period, the loan predetermined period indicating a predetermined period of renting the battery; and the lending battery determining unit determines to lend the predetermined battery; And the prediction unit determines, from the average power calculated by the average power calculation unit, an average power corresponding to the division of the battery to which the loan is reserved, and the user of the power consumer or the power consumer of the rented battery, and The amount of power consumption of the user who borrows the predetermined battery is predicted based on the determined average power and the predetermined period of lending.

According to the above configuration, by including the lending scheduled period acquisition unit and the prediction unit, it is possible to predict the amount of electric power consumed during the period in which the customer rents the battery for the customer who has made the battery lending reservation.

Furthermore, the information processing device of the present invention may further include: a prediction period acquisition unit that acquires a prediction period indicating a period in which prediction of the amount of power consumed by the station is performed; and a prediction unit for each power consumer or power Each user of the consumable calculates a representative value of the average electric power calculated for each of the plurality of divisions, and predicts whether the user of the electric power consumer or the electric power consumer consumes the predicted period based on the representative value and the predicted period. Electricity consumption.

According to the above configuration, the amount of power consumption in the prediction period in the station can be predicted based on the amount of power consumption predicted by the prediction unit.

Furthermore, the information processing apparatus of the present invention may further include a prediction period acquisition unit and a prediction unit. The prediction period acquisition unit acquires a prediction period indicating a period during which the prediction of the amount of power consumed by the station is performed. The prediction unit calculates a representative value of the average power for each of the plurality of divisions, and predicts the amount of power consumption when the battery belonging to the division is used in the prediction period based on the representative value and the prediction period.

According to the above configuration, the amount of power consumption in the prediction period in the station can be predicted based on the amount of power consumption predicted by the prediction unit.

Further, the information processing device of the present invention is an information processing device for a station that lends a battery to a plurality of power consumers, wherein the battery in the station is classified into any one of a plurality of types set in advance according to characteristics of the battery. Further, the information processing device includes a history information acquisition unit, a loan battery determination unit, and an average power calculation unit. The history information acquisition unit acquires history information corresponding to the battery to which the user who has borrowed the battery of the rented battery or the power consuming body has been attached, the loan period of the battery, and the loan. History information of the amount of electricity consumed during the period. The lending battery decision unit decides to lend the predetermined battery. The average power calculation unit extracts history information corresponding to the division of the battery to which the loan is reserved from the history information, and calculates an average power based on the loan period and the power consumption amount indicated by the extracted history information. Indicates the amount of power consumed per unit time when a predetermined battery is borrowed.

According to the above configuration, the average electric power can be calculated, and the average electric power indicates the amount of electric power consumed per unit time when the customer who rents the battery uses the predetermined battery. Therefore, by predicting the amount of electric power consumed by the customer based on the calculated average electric power, even if the combination of the battery and the electric power consumer is exchanged, the electric power consumption amount can be accurately predicted.

Furthermore, the information processing apparatus of the present invention may further include a loan-out period acquisition unit and a prediction unit. The lending predetermined period acquisition unit acquires a lending scheduled period indicating a predetermined period of renting the battery. The prediction unit predicts the amount of power consumption of the battery that is borrowed from the predetermined battery by the user of the power consumer or the power consumer based on the average power calculated by the average power calculation unit and the predetermined loan period.

According to the above configuration, by including the lending scheduled period acquisition unit and the prediction unit, it is possible to predict the amount of electric power consumed during the period in which the customer rents the battery for the customer who has made the battery lending reservation.

Further, in the information processing device of the present invention, the plurality of divisions may be set based on at least one of the number of years of use of the battery, the number of times the battery is used, and the state of health (SOH) indicating the state of deterioration of the battery.

According to the configuration, the battery can be accurately classified into a plurality of divisions corresponding to the characteristics. Therefore, the amount of power consumption can be further accurately predicted.

Further, in the information processing device of the present invention, when there is no history information corresponding to the user who is the power consumption body or the power consumption body that is the target of calculating the average power, and the difference is the target of the calculation of the average power, the average is The electric power calculation unit may use (1) the average electric power when the user of the other electric power consumer or the electric power consumer uses the battery that is the target of calculating the average electric power, and (2) the electric power consumption that is the target of the calculation of the average electric power. The user of the body or the power consuming body calculates the average power using at least one of the average powers when the batteries belonging to the other battery are used.

According to the above configuration, even when there is no history information of the battery, the average power consumption rate can be calculated. Therefore, the prediction accuracy of the power consumption amount can be improved.

Further, the information processing method of the present invention is an information processing method of a station that lends a battery to a plurality of power consumers, wherein the batteries in the station are classified into any one of a plurality of types set in advance according to characteristics of the battery. Moreover, the information processing method includes a history information acquisition step and an average power calculation step. The history information acquisition step is to acquire history information for each user of each power consuming body or power consuming body, the history information corresponding to the division to which the battery that was borrowed in the past is attached, the loan period of the battery, and History information of the amount of power consumption used during the lending period. The average power calculation step is for each user of each power consuming body or power consuming body, and for each of the plurality of divisions, the average power is calculated based on the lending period and the power consumption amount corresponding to the division, and the average power is used. The amount of power consumed per unit time when it belongs to the battery of this division.

According to the above configuration, it is possible to achieve the same effect as the information processing device, and it is possible to calculate average power for each customer based on each type of battery setting, and the average power indicates the customer who rents the battery. The amount of power consumed per unit of time. Therefore, by predicting the amount of electric power consumed by the customer based on the calculated average electric power, even if the combination of the battery and the electric power consumer is exchanged, the electric power consumption amount can be accurately predicted.

Further, the information processing method of the present invention is an information processing method of a station that lends a battery to a plurality of power consumers, wherein the batteries in the station are classified into any one of a plurality of types set in advance according to characteristics of the battery. Further, the information processing method includes a history information acquisition step, a loan battery determination step, and an average power calculation step. The history information acquisition step is to acquire history information corresponding to the battery to which the user who has borrowed the battery of the rented battery or the power consumer has been attached, the loan period of the battery, and the borrowing period. History information of the amount of power consumption used during the period. The lending battery decision step is to decide to lend the predetermined battery. The average power calculation step is to extract, from the history information, history information corresponding to the division to which the predetermined battery is to be borrowed, and calculate an average power based on the loan period and the power consumption amount indicated by the extracted history information. The power indicates the amount of power consumed per unit time when a predetermined battery is borrowed.

According to the above configuration, the same effect as the information processing device can be obtained, and the average power can be calculated, which indicates the amount of power consumed per unit time when the customer who rents the battery uses the battery that is reserved for the predetermined time. Therefore, by predicting the amount of electric power consumed by the customer based on the calculated average electric power, even if the combination of the battery and the electric power consumer is exchanged, the electric power consumption amount can be accurately predicted.

Furthermore, the information processing apparatus of the present invention can also be realized by a computer. In this case, by operating the computer as a unit included in the information processing apparatus, the information processing apparatus is implemented by a computer, and A computer readable recording medium on which the program is recorded is also within the scope of the present invention. (Effect of the invention)

The present invention can provide an effect of accurately predicting the amount of power consumption with respect to the power consumer of the battery exchange station.

[Embodiment 1] Hereinafter, an embodiment of an information processing device according to the present invention will be described based on the drawings. FIG. 1 is a block diagram showing a schematic configuration of a power consumption amount prediction system including the information processing device of the embodiment.

The power consumption amount prediction system 100 shown in Fig. 1 is provided in a battery exchange station. First, a battery exchange station will be described as a premise of the present embodiment.

The battery exchange station is a facility that provides the following services to the customer (the driver (the user of the power consumer)), that is, the battery having the remaining capacity installed in the electric vehicle (power consumption body) is replaced with the battery that has been previously charged. Electric battery.

As a customer who can use the service of the battery exchange station of the present embodiment, it is limited to members who have previously signed an agreement with the operator who operates the battery exchange station. In the battery exchange station, when the customer A (of course, a member) who is riding on the electric vehicle that needs to replace the battery enters the store, the battery having the remaining capacity of the electric vehicle is replaced with the pre-prepared charged battery. Battery. The battery having a small remaining capacity taken out from the electric vehicle of the customer A is charged by a charging device provided at the battery exchange station. Then, the battery is stocked to be used as a charged battery when the battery of the electric vehicle of any customer (not limited to customer A) is subsequently replaced. That is, each battery used in the battery exchange station of the present embodiment is not exclusively used by a single customer but is used by a plurality of customers (members) in turn.

Next, the power consumption amount prediction system 100 of FIG. 1 will be described. The power consumption amount prediction system 100 of Fig. 1 is a system provided at a certain battery exchange station. As shown in FIG. 1, the power consumption amount prediction system 100 includes a communication device 200 that performs wireless communication with the battery 300, and an information processing device 400 that calculates average power for each customer. Further, the communication device 200 and the information processing device 400 are communicably connected via a network.

(1. Configuration of Communication Device 200 and Battery 300) The battery 300 is a battery that is loaned to a customer who has membership, and is loaned to the customer by being mounted on the customer's electric vehicle during the battery replacement operation, and by In the battery replacement operation, the battery is removed (returned) from the customer's electric vehicle. Further, the battery 300 is a battery package in which a cell 301 functioning as a secondary battery is housed.

The communication device 200 is a device that communicates with a charged battery before being mounted on an electric vehicle in a battery replacement operation, and is detached from the electric vehicle during the battery replacement operation. The battery is communicating. In addition, the communication device 200 can also be incorporated into a charging device (not shown) for charging the battery 300. Hereinafter, the configuration of the communication device 200 and the battery 300 will be described.

As shown in FIG. 1, the battery 300 houses at least the wireless communication unit 302, the memory unit 303, the control unit 304, the state of health (SOH) measuring unit 305, and the state of charge (State Of Charge, in addition to the battery cell 301). SOC) measurement unit 306. The communication device 200 includes a wireless communication unit 201, an identification code (ID) input unit 202, a control unit 203, and a storage unit 204.

First, the structure of the battery 300 side will be described. The battery cell 301 is a secondary battery that supplies electric power to a motor of an electric vehicle on which the battery 300 is mounted. Further, in the battery exchange station of the present embodiment, the battery cell 301 is charged by a charging device (not shown) while the battery 300 is being removed from the electric vehicle.

The wireless communication unit 302 is an antenna that performs wireless communication with the wireless communication unit 201 only when entering the communicable area of the wireless communication unit 201 of the communication device 200.

Specifically, when the battery 300 is placed at a predetermined communication position in the communication device 200, the wireless communication unit 302 configured in the battery 300 enters the communicable area of the wireless communication unit 201. Thereby, the wireless communication unit 302 and the wireless communication unit 201 can be connected in a wireless communication.

The SOH measuring unit 305 is a measuring device that measures a state of health (SOH), which is an indicator indicating the state of deterioration of the battery 300, at a predetermined timing for attaching and detaching the battery 300 to the electric vehicle. SOH is a value expressed in percentage (%) (full charge capacity at the current time / initial full charge capacity).

The SOC measuring unit 306 is a measuring device that measures a state of charge (SOC) which is an index indicating the state of charge of the battery 300 at a predetermined timing of attaching and detaching the battery 300 to the electric vehicle. The SOC is a value expressed in percentage (%) (the current storage capacity / the full charge capacity at the current time).

The control unit 304 is a control integrated circuit that controls each hardware included in the battery 300.

The memory unit 303 is a memory device that performs information storage and reading by the control unit 304, and stores a battery ID indicating the identification information of the battery 300, the date of introduction, the number of times of borrowing (the cumulative number of uses), and the rating of the battery. Capacity (initial full charge capacity). Further, the memory unit 303 may be a memory device that is configured independently of the control unit 304, or may be a memory device provided in the control unit (control integrated circuit) 304.

Next, the configuration of the communication device 200 side will be described. As described above, the wireless communication unit 201 is an antenna that performs wireless communication with the wireless communication unit 302 of the battery 300 placed at a predetermined communication position in the communication device 200.

The ID input unit 202 is a device that accepts a customer ID (identification information) unique to the customer who is the target of the battery replacement work. The ID input unit 202 may be, for example, a card reader that reads a customer ID from a member card, or an input device (a keyboard or the like) that inputs a number indicating a customer ID.

The control unit 203 is a computer including a processor, a random access memory (RAM), a read only memory (ROM), and the like that control each hardware of the communication device 200. As the control unit 203, for example, a general-purpose personal computer can be used. The memory unit 204 is a hard disk or a semiconductor memory that stores information processed by the control unit 203, and may be connected to the control unit 203 or may be incorporated in the control unit 203.

(2. Processing of Communication Device 200 and Battery 300) Next, the processing performed by the communication device 200 and the battery 300 will be specifically described. Hereinafter, first, the processing of the communication device 200 and the battery 300 when the battery 300 is introduced into the battery exchange station will be described.

Next, a communication process of the communication device 200 for the charged battery 300 before being attached to the electric vehicle in the battery replacement operation of the electric vehicle of the customer A will be described. Subsequently, a communication process for the battery 300 that is removed and returned (returned) from the electric vehicle of the customer A in the battery replacement operation of the electric vehicle of the customer A will be described.

(2.1 Processing when battery 300 is introduced) In the present embodiment, the memory unit 303 of the battery 300 stores the battery ID, the date of introduction, the number of times of borrowing (the cumulative number of uses), and the rated capacity of the battery. This point is explained.

When the battery 300 is introduced into the battery exchange station, the battery 300 is placed at a prescribed communication position of the communication device 200. Then, the communication device 200 transmits the battery ID (battery identification information) to the battery 300, the date of introduction of the year, month, and day of the current time (the date of introduction of the battery), and the rated capacity of the battery 300.

The control unit 304 of the battery 300 stores the received battery ID, the date of introduction, and the rated capacity in the storage unit 303. At this time, the control unit 304 sets the number of times of borrowing to zero (zero) and stores it in the storage unit 303. Thereby, while the battery 300 is continuously being used in the battery exchange station, the battery ID, the introduction date, the rated capacity of the battery, and the number of times of the battery are continuously stored in the storage unit 303.

Next, the control unit 304 acquires the value of SOH from the SOH measurement unit 305, and reads the number of times of borrowing (here, zero) and the battery ID from the storage unit 303, and adds the value of the SOH, the number of times of lending, and the battery ID. The battery registration information is transmitted to the communication device 200.

The control unit 203 of the communication device 200 transmits the battery registration information received from the battery 300 to the information processing device 400.

(2.2 Communication processing for the battery that has been charged before installation to the electric vehicle) When the customer A enters the battery exchange station in order to replace the battery, the member of the customer A is read by the ID input unit 202 before the battery replacement operation The card thereby inputs the customer ID of the customer A to the communication device 200. Thereby, the control unit 203 of the communication device 200 detects the customer ID of the customer A who is the target of the battery replacement work.

Further, before the battery replacement operation for the electric vehicle of the customer A, the charged battery 300 to be mounted in the electric vehicle of the customer A in the battery replacement operation is placed at a predetermined communication position of the communication device 200.

When the charged battery 300 before being mounted on the electric vehicle is placed at the communication position, the control unit 203 of the communication device 200 transmits the customer ID (customer A of the customer A) from the ID input unit 202 via the wireless communication unit 201. ID) is sent to the battery 300 side. Further, the control unit 203 can determine whether or not the battery 300 placed at the predetermined communication position is the charged battery 300 before being mounted to the electric vehicle, by whether or not the customer ID is stored in the memory unit 303 of the battery 300. In other words, when the customer ID is not stored in the memory unit 303 of the battery 300 placed at the predetermined communication position, the control unit 203 determines that the battery 300 is a charged battery before being mounted to the electric vehicle.

The control unit 304 of the battery 300 receives the customer ID transmitted from the communication device 200 via the wireless communication unit 302. The control unit 304 stores the received customer ID in the storage unit 303.

The control unit 304 acquires the value of the SOC from the SOC measuring unit 306, acquires the value of the SOH from the SOH measuring unit 305, and reads the rated capacity of the battery 300 stored in the memory unit 303. Further, the control unit 304 calculates the rated capacity (Wh) × SOH (%) × SOC (%), and stores the calculation result in the storage unit 303 as the amount of stored electricity at the time of lending. Further, the control unit 304 stores the time of the lending time as the lending time in the storage unit 303 based on the Real Time Clock (RTC).

After the information is written into the memory unit 303 of the battery 300 in this manner, the battery 300 is attached to the electric vehicle of the customer A.

(2.3 Communication Process for Battery Disassembled and Recovered (Returned) from Electric Vehicle) The remaining capacity of the battery 300 installed in the electric vehicle of the customer A is extremely small, and the customer A enters the battery exchange station in order to replace the battery. Further, as described above, when the customer A enters the station, the ID card is read by the ID input unit 202, whereby the communication device 200 inputs the customer ID of the customer A; and in the battery replacement operation, the user is installed. The customer ID of the customer A is written into the charged battery in the electric vehicle of the customer A.

When the battery 300 is removed and recovered from the electric vehicle of the customer A by the battery replacement operation, the recovered battery 300 is placed at a predetermined communication position of the communication device 200. When the recovered battery 300 is placed at the communication position, the control unit 203 of the communication device 200 transmits a transmission request command of the information stored in the battery 300 to the battery 300 side via the wireless communication unit 201. Further, the control unit 203 can determine whether or not the battery 300 placed at the predetermined communication position is the recovered battery by whether or not the customer ID is stored in the memory unit 303 of the battery. In other words, when the customer ID is stored in the memory unit 303 of the battery 300 placed at the predetermined communication position, the control unit 203 determines that the battery 300 is the recovered battery.

When receiving the transmission request command via the wireless communication unit 302, the control unit 304 of the battery 300 acquires the value of the SOC from the SOC measurement unit 306. Then, the control unit 304 acquires the value of the SOH from the SOH measurement unit 305, and reads the rated capacity of the battery 300 stored in the storage unit 303. Further, the control unit 304 calculates the rated capacity (Wh) × SOH (%) × SOC (%), and calculates the amount of stored electricity at the time of return. Next, the control unit 304 reads out the amount of stored electricity at the time of lending from the storage unit 303, and calculates the amount of electric power consumption which is the difference between the amount of stored electricity at the time of lending and the amount of stored electric power at the time of return.

Further, the control unit 304 sets the time of the return time as the return time based on the RTC (instantaneous clock), and further reads the lending time from the storage unit 303, and calculates the lending period based on the difference between the lending time and the return time.

Further, the control unit 304 reads the battery ID and the customer ID from the storage unit 303. The control unit 304 transmits the use information including the read battery ID, the customer ID, the calculated power consumption amount, and the loan period to the communication device 200.

After the completion of the transmission, the control unit 304 erases the customer ID, the amount of stored electricity at the time of lending, and the time of lending stored in the storage unit 303, and adds (increments) the number of times of the memory stored in the storage unit 303 (increment ( Increment))1.

Further, the control unit 304 reads the number of times of borrowing from the storage unit 303, and transmits the battery state information corresponding to the number of times of the loan, the value of the SOH acquired from the SOH measuring unit 305, and the read battery ID to the communication device 200. .

The control unit 203 of the communication device 200 temporarily writes the use information and the battery state information received from the battery 300 to the storage unit 204.

By the way, the communication device 200 of the battery exchange station can perform the battery replacement operation for the customer ID of the customer (member) who is the target of the battery replacement operation and the battery 300 that is recovered by the battery replacement operation. The amount of power consumption of the battery 300 during the period in the electric vehicle to be used, the battery ID indicating the identification information of the battery 300, and the lending period in which the battery 300 is loaned are additionally detected.

Then, the control unit 203 reads the use information and the battery state information from the storage unit 204 and transmits the information to the information processing device 400.

(3. Configuration of Information Processing Apparatus 400) Next, the configuration of the information processing apparatus 400 will be described. The information processing device 400 includes an information processing unit 401, a storage unit 402, and a reservation accepting unit 403. The information processing device 400 is a device that corresponds to the customer ID when a customer ID indicating the identification information of the customer and a period in which the customer wants to rent the battery are input by the customer who wants to replace (to rent) the battery. Electricity consumption is predicted.

(3.1. Configuration of the reservation accepting unit) The reservation accepting unit 403 is a block that accepts the input of the customer ID to be reserved for the battery replacement and the input of the loan predetermined period, and the loan reservation period indicates The period during which the customer wants to rent a battery. The reservation accepting unit 403 includes a period input device for inputting a predetermined period of lending, in addition to an ID input device such as a card reader that reads a customer ID from the member card. Further, the ID input device and the period input device may be integrated or individual. Further, the reservation accepting unit 403 may include a communication unit (not shown), and accepts input of the customer ID and the loan predetermined period from the customer via the network. The reservation accepting unit 403 outputs the reservation information corresponding to the input customer ID and the loan predetermined period to the information processing unit 401.

(3.2 Configuration of Memory Unit 402) FIG. 2 is a block diagram showing a detailed configuration of the information processing unit 401, the storage unit 402, and the reservation accepting unit 403 included in the information processing device 400. As shown in FIG. 2, the memory unit 402 stores a table 800, a history table 850, and an average power meter 900, which are hard disk or semiconductor memories that store information processed by the information processing unit 401. Further, the storage unit 402 may be externally incorporated in the information processing unit 401 or may be incorporated in the information processing unit 401.

FIG. 3 is a view showing an example of the discrimination table 800 stored in the storage unit 402. As shown in FIG. 4, the difference table 800 is a table indicating the correspondence relationship between the battery ID and the deterioration of the battery 300 indicated by the battery ID among the plurality of deterioration classifications set according to the deterioration degree.

FIG. 4 is a view showing an example of the history table 850 stored in the storage unit 402. As shown in FIG. 4, the history table 850 additionally records, for each of the loan history, a customer ID that identifies the customer who is the loan target, and an indicator indicating the degree of deterioration of the battery 300 that is borrowed. That is, the deterioration distinction, the lending period, and the amount of power consumption.

FIG. 5 is a view showing an example of the average electric power meter 900 stored in the storage unit 402. As shown in FIG. 5, the average power meter 900 is a table indicating a correspondence relationship between a customer ID, a deterioration classification, and an average power, and the average power is a battery 300 indicating that the deterioration is distinguished by a customer indicated by the customer ID. The value of the amount of power consumption per unit time during the lending period.

(3.3 Configuration of Information Processing Unit 401) The information processing unit 401 is a computer including a processor, a RAM, a ROM, and the like, and for example, a general-purpose personal computer can be used.

Next, the information processing unit 401 will be described in detail. As shown in FIG. 2, the information processing unit 401 includes at least a classification unit 601, a history update unit (history information acquisition unit) 602, an average power calculation unit 603, a predetermined information setting unit 604, and a prediction unit 605. Further, the information processing unit 401 is hardware, but each of the blocks 601 to 605 included in the information processing unit 401 is a functional block indicating a function of software executed by the information processing unit 401.

The timing of the classification unit 601 when the battery 300 is introduced or when the battery 300 is returned, that is, the battery registration information or the battery state information corresponding to the number of times of the loan, the value of the SOH, and the battery ID are added from the communication device 200. The timing of transmission to the information processing device 400 updates the difference table 800 stored in the storage unit 402. In other words, the classification unit 601 generates the division information based on the battery registration information or the battery state information, and the division information is obtained by dividing the battery ID and the deterioration of the battery 300 indicated by the battery ID. Further, the classification unit 601 updates the discrimination table 800 stored in the storage unit 402.

Specifically, the classification and classification unit 601 compares the threshold value of the preset SOH threshold and the number of times of the loan with the number of SOHs and the number of times of the loan indicated by the received battery registration information or battery status information, respectively. Determine which degradation distinction the battery belongs to.

FIG. 6 is a diagram showing an example of classification of the deterioration classification by the classification unit 601. In the example shown in Fig. 6, as the threshold value of the SOH, two values of 80% and 70% are set, and as the threshold of the number of times of borrowing, two values of 500 times and 1000 times are set.

Therefore, by the comparison with the threshold values, the classification unit 601 determines whether the SOH is (1) 80% or more, (2) 70% or more, less than 80%, and (3) less than 70%. Further, the classification unit 601 further determines which of the number of times of the loan is (a) less than 500, (b) 500 times or more, less than 1000 times, and (c) 1000 times or more. For example, when the battery status information indicating that the number of times of the battery 300 indicated by the battery ID "01001" is 700 and the SOH is 85% is acquired, the classification unit 601 determines the battery indicated by the battery ID "01001". 300 is a battery belonging to the deterioration classification "Y".

In this manner, the classification unit 601 determines the deterioration classification of the battery 300 indicated by the battery ID included in the battery registration information or the battery status information, and generates the division information in which the battery ID and the deterioration are added. Further, the classification unit 601 updates the discrimination table 800 stored in the storage unit 402 based on the generated division information. In other words, when receiving the battery state information, the classification unit 601 determines the same battery ID as the generated discrimination information from the difference table 800, and rewrites the deterioration distinction corresponding to the battery ID to the generated discrimination information. Deterioration distinction. Further, when the battery classification information is received, the classification unit 601 adds the generated division information to the discrimination table 800.

When the information processing device 400 receives the battery state information and completes the update of the difference table 800, the classifying unit 601 transmits a process execution command to the history table updating unit 602. Further, when the information processing device 400 receives the battery registration information and completes the update of the discrimination table 800, the classification unit 601 does not perform more processing.

When receiving the processing execution command from the classification and classification unit 601, the history table update unit 602 is based on the usage information obtained by the information processing device 400 in association with the battery ID, the customer ID, the loan period, and the power consumption amount. The update of the history table 850 stored in the storage unit 402 is performed.

Specifically, first, the history table update unit 602 refers to the discrimination table 800 to determine the deterioration classification of the battery ID indicated by the received usage information. Next, the history table update unit 602 generates history information in which the determined deterioration classification, the customer ID indicated by the usage information, the loan period, and the power consumption amount are associated with each other. Next, the history table update unit 602 updates the latest loan history of the history table 850 corresponding to the customer ID indicated by the history information. At this time, when there is the latest loan history corresponding to the customer ID in the history table 850, the existing latest loan history is recorded as the previous loan history, and the previous loan history is n times. The resume 850 is updated by n+1 the previous borrowing history. Therefore, in the history table 850, the customer ID, the lending period, the power consumption amount, and the deterioration distinction are additionally recorded for each number of times of lending.

When the update of the history table 850 is completed, the history table update unit 602 acquires the customer ID, the deterioration classification, the loan period, and the power consumption amount for all the loan history from the updated history table 850. The history information is sent to the average power calculation unit 603.

When the history information is received from the history table update unit 602, the average power calculation unit 603 obtains average power for each customer ID based on the history information, and the average power indicates that the customer ID is used. The average value of the amount of power consumption per unit time when the battery 300 is distinguished. Specifically, the average power calculation unit 603 calculates, for each of the customer IDs, the power consumption amount indicated by the history information corresponding to the customer ID and corresponding to the deterioration classification, divided by the loan period. The average of the values comes as the average power.

Here, there is a case where a customer has not previously used the battery 300 belonging to a certain deterioration distinction. In this case, the average power is calculated by using the average power when the customer uses the battery belonging to the other deterioration classification or the average power when the other customer uses the battery belonging to the deterioration classification, thereby calculating the average power.

For example, the average electric power when the customer uses the battery belonging to the deterioration classification, which is the object calculated by the interpolation, is a. In addition, the average power when the customer uses the battery belonging to the other deterioration classification is b, and the average power when the other customer uses the battery belonging to the deterioration classification is c, and when the other customer uses the battery belonging to the other deterioration classification. The average power is set to d. Here, assuming that the relational expression of a:b=c:d is satisfied, a method of calculating a from the equation of a=(b×c)/d is considered.

Specifically, in FIG. 5, the customer A indicated by the customer ID "0001" has not used the battery 300 belonging to the deterioration division Y. However, the battery belonging to the deterioration division X and the deterioration division Z has been used in the past. In addition, it is assumed that the customer B indicated by the customer ID "0002" and the customer C indicated by the customer ID "0003" distinguish any of X, Y, and Z in the past. The battery 300 belonging to the deterioration distinction is used. In the following, for the sake of convenience, the "average power when the customer A uses the battery 300 belonging to the deterioration zone X" may be simply referred to as "the average power of the deterioration of the customer A by the X".

Here, it is considered that the average electric power of the deterioration discrimination X, Y, and Z is calculated for each of the customers A, B, and C. At this time, the average power when the customer A indicated by the customer ID "0001" uses the battery 300 belonging to the deterioration classification Y cannot be directly calculated from the history table 850. However, as shown in FIG. 5, the average power of the deterioration classification X of the customer A and the deterioration classification Z is the average power of the deterioration classification X and the deterioration division Z of the customer B, the deterioration distinction X with the customer C, and the average of the deterioration distinction Z. The value between electricity. Therefore, it can be inferred that the average power of the deterioration discrimination Y of the customer A also takes the value between the average power of the deterioration distinction Y of the customer B and the average power of the deterioration division Y of the customer C.

In addition, in the case of the customer B and the customer C, the average power is increased in accordance with the order of the deterioration discrimination Z, the deterioration classification Y, and the deterioration classification X (the amount of electric power consumption per unit time becomes large). Therefore, it can be inferred that the average power of the customer A is increased in this order, and the average power of the deterioration division Y for both the customer B and the customer C is the intermediate value of the average power of the deterioration discrimination X and the average power of the deterioration division Z. Therefore, it can be estimated that the average power when the customer A indicated by the customer ID "0001" uses the battery 300 belonging to the deterioration division Y is 1200 W. In this manner, the average power when the battery 300 belonging to the deterioration classification having no past use history is used is calculated by interpolation.

The average power calculation unit 603 generates average power information in which the calculated average power, the customer ID, and the deterioration are added, and updates the average power meter 900 of the memory unit 402 based on the generated average power information.

The reservation information setting unit 604 includes a loan reservation period acquisition unit 614 and a loan battery determination unit 624.

The loan reservation period acquisition unit 614 receives, from the reservation reception unit 403, reservation information corresponding to the addition of the customer ID and the loan reservation period. When the lending schedule acquisition unit 614 receives the reservation information, it transmits a processing execution command to the lending battery determination unit 624.

When the lending battery determining unit 624 receives the processing execution command from the lending predetermined period acquiring unit 614, the lending predetermined battery 300 is scheduled to be loaned to the customer included in the reservation information. Customer indicated by ID.

Specifically, the lending battery determination unit 624 arbitrarily selects and lends the predetermined battery 300 from the battery 300 existing in the battery exchange station at the time when the reservation accepting unit 403 inputs the customer ID and the loan predetermined period. Further, the loan battery determination unit 624 acquires the battery ID of the battery 300.

Here, the loan battery determination unit 624 selects the battery 300 indicated by the battery ID "01001" as the battery 300 to be borrowed, and acquires the battery ID "01001".

The predetermined information setting unit 604 transmits the predetermined information to the prediction unit 605, which is associated with the loan reservation period set by the loan reservation period acquisition unit 614, the battery ID acquired by the loan battery determination unit 624, and The customer ID of the customer who has received the battery replacement is received from the reservation accepting unit 403.

When receiving the predetermined information from the predetermined information setting unit 604, the prediction unit 605 first refers to the discrimination table 800 to determine the deterioration distinction corresponding to the battery ID of the loan reservation indicated by the predetermined information.

Next, the prediction unit 605 refers to the average power meter 900 to extract the average power, which corresponds to the deterioration determined by the difference table 800 and the customer ID indicated by the predetermined information. Finally, the prediction unit 605 multiplies the average power extracted from the average power meter 900 by the predetermined rental period indicated by the predetermined information, thereby calculating the estimated power consumption amount, which is the customer who has reserved the replacement battery. An estimated value of the amount of power used to lend the predetermined battery 300.

(4. Process flow of the information processing unit 401) (4.1. Flow of processing at the time of calculation of the average power) First, the classification unit 601, the history update unit 602, and the average power calculation unit 603 of the information processing unit 401 perform The processing flow of the average electric power calculation will be described. Here, as an example, a process when the battery 300 is returned to the battery exchange station will be described.

FIG. 7 is a flowchart showing a flow of processing of the information processing unit 401 when the battery 300 is returned to the battery exchange station.

The battery status information and usage information are transmitted from the communication device 200 to the information processing device 400 by the battery 300 being returned to the battery exchange station.

When the information processing device 400 receives the battery status information and the usage information (S1), the classification unit 601 generates the discrimination information corresponding to the battery ID and the deterioration indicated by the battery status information, and the degradation distinction is based on The value of SOH indicated by the battery status information is sorted by the number of times of lending (S2).

Next, the classification unit 601 updates the discrimination table 800 stored in the storage unit 402 based on the generated division information (S3).

Next, the history table update unit 602 refers to the discrimination table 800 to determine the deterioration classification of the battery ID indicated by the usage information (S4). Next, the history table update unit 602 generates history information (S5) in which the deterioration classification specified in S3, the customer ID indicated by the usage information, the loan period, and the power consumption amount are added, and based on the generated The resume information is updated by the resume information 850. Further, the history table update unit 602 acquires history information including the customer ID, the deterioration classification, the loan period, and the power consumption amount from the updated history table 850, and transmits the history information to the average of the loan history. The electric power calculation unit 603 (S6).

Next, the average power calculation unit 603 divides the power consumption amount by the lending period based on the history information received in S6, and calculates average power for each customer ID and for each type of deterioration (S7), which is averaged. The electric power represents the average value of the power consumption per unit time during the lending period.

The average power calculation unit 603 generates average power information (S8) obtained by adding the average power calculated for each customer ID in S7 and the customer ID and the degradation, and based on the generated The average power information is used to update the average power meter 900 of the memory unit 402 (S9).

(4.2. Process flow at the time of reservation) Next, a flow of processing by the information processing unit 401 when the customer who wishes to replace the battery inputs the customer ID and the loan reservation period to the reservation accepting unit 403 will be specifically described.

FIG. 8 is a flowchart showing a flow of processing by the information processing unit 401 when the customer who wishes to replace the battery inputs the customer ID and the loan predetermined period to the reservation accepting unit 403.

When the customer who desires to replace the battery inputs the customer's customer ID to the reservation receiving unit 403 and the loan-reserved period for indicating the period in which the customer wants to rent the battery (S11), the reservation accepting unit 403 adds the input customer to the reservation. The reservation information obtained by the ID and the loaned reservation period is transmitted to the predetermined information setting unit 604 (S12). In the case where the customer A has entered the customer ID "0001" and the loan reservation period "2 hours", the customer A has added the customer ID "0001" and the loan reservation period "2 hours". The made reservation information is sent to the predetermined information setting unit 604.

When the reservation request information acquisition unit 604 receives the reservation information from the reservation reception unit 403, the loan reservation request acquisition unit 614 transmits a processing execution command to the loan battery determination unit 624. Further, the lending battery determining unit 624 arbitrarily selects the battery 300 to be loaned to the customer who has been loaned to the customer ID indicated by the reservation information, and acquires the battery ID (S13) indicating the selected lending. The identification information of the predetermined battery 300. Here, the borrowed battery determination unit 624 determines the battery indicated by the battery ID "01001" as the battery 300 to be borrowed, and acquires the battery ID "01001" indicating the identification information of the battery to be borrowed.

Next, the scheduled information setting unit 604 transmits the predetermined information to the prediction unit 605 (S14), which corresponds to the loan reservation period received from the reservation accepting unit 403, the customer ID, and the battery ID acquired in S13. Made.

When receiving the predetermined information, the prediction unit 605 refers to the discrimination table 800 to determine the deterioration discrimination corresponding to the battery ID indicated by the predetermined information (that is, the battery ID of the predetermined battery 300 is borrowed) (S15). Here, the prediction unit 605 refers to the discrimination table 800 shown in FIG. 4, and determines the deterioration division Y corresponding to the battery ID "01001".

Next, the prediction unit 605 refers to the average power meter 900, and determines the average power based on the deterioration discrimination to which the predetermined battery is borrowed determined in S14 and the customer ID indicated by the predetermined information received in S14. (S16), the average power indicates the amount of power consumption per unit time during the lending period when the customer who has reserved the battery is used to borrow the predetermined battery 300. Here, the prediction unit 605 refers to the average power meter 900 shown in FIG. 5 and specifies the average power "1200 W" when the customer indicated by the customer ID "0001" uses the battery belonging to the deterioration section Y.

Finally, the prediction unit 605 calculates an estimated power consumption amount based on the average rental power determined in S13 and the average power calculated in S15 (S17), which is a reservation for the customer who has reserved the replacement battery. The estimated value of the amount of power used by the battery 300. Here, the prediction unit 605 calculates the estimated power consumption amount as "2400 Wh" based on the equation of 2 hours × 1200 W = 2400 Wh.

As described above, the information processing device 400 of the present embodiment stores average power for each customer ID and for each type of deterioration of the battery, and the average power indicates the amount of power consumed by the customer of the rented battery 300 per unit time. The battery 300 deteriorates with use, and there is a correlation between the degree of deterioration of the battery 300 and the amount of power consumption per unit time. That is, the battery 300 whose deterioration is deepened may have a smaller amount of power consumption per unit time than the battery 300 whose deterioration is not deepened. Therefore, even if a different battery is borrowed for a certain customer each time, the amount of electric power consumed by the customer can be accurately predicted.

(Modification) In the present embodiment, the classification unit 601 classifies the deterioration based on the SOH indicating the battery deterioration state and the number of times the battery is borrowed. However, the classification of the deterioration classification by the classification and classification unit 601 is not limited to the above-described method as long as it is a classification that is different from the degree of deterioration of the battery. 9(a) to 9(c) are diagrams showing another method of classifying the battery degradation classification by the classification unit 601. For example, consider a method of classifying based only on the SOH of the battery as shown in FIG. 9(a); or classifying the deterioration of the battery based only on the number of times the battery is borrowed as shown in FIG. 9(b) Methods. Further, a method of classifying the deterioration classification based on the number of years of use of the battery may be considered as shown in FIG. 9(c).

When the classification of the deterioration classification is performed based on the number of years of use of the battery, the control unit 304 of the battery 300 reads the introduction date and time stored in the storage unit 303 when the battery is returned. In addition, the number of years of use of the battery is calculated in comparison with the date of return, and is transmitted as battery status information. Further, as the classification method of the deterioration classification, the classification and classification unit 601 may combine and classify the classification methods described above. In other words, the classification unit 601 may perform classification of the deterioration classification based on at least one of the number of years of use of the battery, the number of accumulated uses of the battery, and the SOH indicating the state of deterioration of the battery.

Further, in the present embodiment, a configuration is adopted in which the customer receives a predetermined period of lending from the reservation accepting unit 403, and the lending predetermined period acquiring unit 614 acquires the lending scheduled period. However, the method of obtaining the loan for a predetermined period is not limited to this. For example, the lending period acquisition unit 614 may acquire the loan reservation period based on the history information of the customer who wants to replace the battery. Specifically, when the customer who wants to replace the battery inputs the customer ID to the reservation accepting unit 403, the lending predetermined period acquiring unit 614 acquires the history information of the customer ID from the history table 850 of the storage unit. Further, the lending scheduled period acquisition unit 614 sets the lending scheduled period based on the lending period indicated by the history information. As an example of the setting method of the loan reservation period, it is assumed that the distribution of the lending period of the customer follows a normal distribution, and the average value μ and the standard deviation σ of the lending period are calculated, and the value of μ+2σ is set as the lending period. . By setting the lending predetermined period to a value of μ+2σ, the lending of 97.8% of the lending period included in the lending history will be included in the lending predetermined period. Therefore, by setting the loan reservation period to μ+2σ, it is possible to cover most of the period during which the customer is expected to be rented.

Further, in the present embodiment, the customer and the electric vehicle are in one-to-one correspondence, and since the customer uses the same electric vehicle every time, the customer ID indicating the customer's identification information is given to each customer, and for each customer ID, Calculate the average power. However, the method of calculating the average electric power is not limited thereto. For example, an ID may be given for each electric vehicle, and the average electric power may be calculated for each electric vehicle. In other words, the ID may be assigned to each driver (customer) of each electric vehicle or electric vehicle, and the average electric power may be calculated for each of the IDs assigned to each of the IDs.

Further, in the present embodiment, the predicting unit 605 is in the lending period for the customer when the customer who has exchanged the battery is required to input the customer ID and the loan predetermined period to the reservation accepting unit 403. The amount of electricity consumed is predicted. However, the amount of power consumption predicted by the prediction unit 605 is not limited to this.

For example, the prediction unit 605 may predict the amount of power consumed by the battery exchange station including the information processing device 400. In this case, the information processing device 400 further includes a prediction period acquisition unit (not shown) that acquires a prediction period indicating a period during which the prediction of the amount of power consumed by the battery exchange station is performed. Here, the amount of electric power consumed by the battery exchange station during the predicted period refers to the sum of the amount of electric power consumed by the customer who rents the battery from the battery exchange station during the predicted period during the lending period. When the prediction unit 605 predicts the amount of electric power consumed by the battery exchange station during the prediction period, the prediction unit 605 first calculates a representative value of the average electric power for each customer ID based on the average electric power meter 900. When the average value is used as the representative value, the prediction unit 605 calculates an average value of the average electric power calculated for each type of deterioration for each customer ID as a representative value. Then, the prediction unit 605 obtains the product of the calculated representative value and the predicted period, and predicts the amount of power consumption used by the customer during the predicted period for each customer ID. In this manner, by predicting the amount of power consumption used by the customer during the prediction period for each customer ID and obtaining the sum thereof, the amount of power consumed by the battery exchange station during the prediction period can be predicted.

Further, the method in which the prediction unit 605 estimates the amount of electric power consumed by the battery exchange station during the prediction period is not limited thereto.

For example, the prediction unit 605 may calculate a representative value (for example, an average value) of the average power for each type of degradation based on the average power meter 900, and based on the calculated representative value and the predicted period acquired by the prediction period acquisition unit. The amount of power consumption when a customer is using the battery belonging to the deterioration classification during the period of the prediction period is predicted.

In this way, by predicting the amount of power consumption when a customer is using the battery belonging to the deterioration in the period of the prediction period, the predicted amount of power consumption and the number of members who have signed an agreement with the battery exchange station are obtained. In this way, it is possible to predict the amount of power consumption of the battery exchange station in the predicted period when the customer uses only the battery belonging to the deterioration classification. Then, referring to the difference table 800, the power consumption amount in the prediction period calculated for each type of deterioration is weighted based on the distribution of the deterioration classification of the battery existing in the battery exchange station, thereby performing prediction by the battery exchange station. The forecast of the amount of electricity consumed during the period.

In this way, by predicting the amount of power consumed by the battery exchange station during the predicted period, the amount of power that the battery exchange station should retain can be estimated.

[Embodiment 2] Another embodiment of the present invention will be described. It is to be noted that the same reference numerals are given to the components that have the same functions as those of the components described in the above-described embodiments, and the description thereof will be omitted. Hereinafter, differences from the first embodiment will be described.

FIG. 10 is a block diagram showing a configuration of a power consumption amount prediction system 110 according to Embodiment 2 of the present invention. The power consumption amount prediction system 110 of the present embodiment includes a battery 310 different from the power consumption amount prediction system 100 according to the first embodiment, and a method of calculating the power consumption amount consumed during the loan period when the battery is returned to the battery replacement station different.

Specifically, the battery 300 of the first embodiment includes the SOH measuring unit 305 and the SOC measuring unit 306, and the control unit 304 calculates the amount of stored electricity at the time of loan and the amount of stored electricity at the time of return, and calculates the calculated amount of stored electricity at the time of lending and the amount of stored electricity at the time of return. The difference is the amount of power consumed during the lending period. On the other hand, the battery 310 of this embodiment includes the current value measuring unit 307. The current value measuring unit 307 measures the current value output by the battery cell 301 every predetermined time (for example, one second) while the battery 310 is being loaned, and outputs the measured current value to the control unit 304. Further, in the memory unit 303, a voltage value indicating a value of the output voltage of the battery 310 is stored in advance. Here, it is assumed that the battery 310 outputs a fixed voltage with a voltage value stored in the memory unit 303 while being mounted in the electric vehicle.

The control unit 304 stores the current value input from the current value measuring unit 307 and the time when the current value is input as the current value information in the memory unit 303, based on the RTC (instantaneous clock). When the battery 310 is returned to the battery exchange station, the control unit 304 calculates the power consumption amount in the lending period based on the current value information and the voltage value.

Specifically, based on the current value information, the control unit 304 creates a graph by taking the time at which the current value is input on the horizontal axis and the current value at that time on the vertical axis. The control unit 304 integrates the current value from the time of the loan until the return time in the created chart, and multiplies the integration result by the voltage value stored in the storage unit 303, thereby calculating the power consumption amount. In the same manner as in the first embodiment, the calculated power consumption amount, the battery ID, the customer ID, and the loan period are associated with each other in association with each other, and transmitted to the communication device 200 as usage information. After transmitting the use information, the control unit 304 deletes the current value information stored in the storage unit 303.

Further, the method of calculating the power consumption amount from the current value information is not limited thereto.

For example, since the current value measuring unit 307 measures the current value every predetermined time, the control unit 304 can also calculate the average value of the current value indicated by the current value information, and calculate the calculated average value and the lending period and The voltage value stored in the memory unit 303 is multiplied, thereby calculating the power consumption amount.

Further, in the above description, when the battery 300 is returned, the communication device 200 transmits a transmission request command to the battery 300, and acquires history information including the power consumption amount. However, the control unit 304 of the battery 300 may periodically transmit, via the wireless communication, current history information corresponding to the current value information, the battery ID, and the driver ID to the communication device 200 during the lending period, and the communication device 200 The control unit 304 periodically calculates the amount of power consumption of the battery 300 that is being borrowed.

[Embodiment 3]

Another embodiment of the present invention will be described. It is to be noted that the same reference numerals are given to the components that have the same functions as those of the components described in the above-described embodiments, and the description thereof will be omitted. Hereinafter, differences from the first embodiment will be described.

FIG. 11 is a block diagram showing a configuration of the power consumption amount prediction system 120 of the present embodiment. The power consumption amount prediction system 120 of the present embodiment includes the information processing device 410 different from the power consumption amount prediction system 100 of the first embodiment.

The information processing device 410 includes an information processing unit 411, a storage unit 412, and a reservation accepting unit 403.

The memory unit 412 has the same configuration as the memory unit 402 of the first embodiment except that the average power meter 900 is not stored.

In the first embodiment, when the information processing device 400 receives the battery state information and the usage information from the communication device 200, the classification unit 601 updates the classification table 800, and the history table update unit 602 performs the history. The update of the table 850 is performed, and when the update of the history table 850 is performed, the average power calculation unit 603 updates the average power meter 900. Therefore, when receiving the reservation information from the reservation accepting unit 403, the information processing unit 401 refers to the average power meter 900 stored in the storage unit 402, and estimates the power consumption amount.

On the other hand, the information processing device 410 of the present embodiment differs from the first embodiment in that it includes an average power calculation unit 613 instead of the average power calculation unit 603, and further includes a history information acquisition unit 606. Further, the predetermined information setting unit 604 of the present embodiment differs from the first embodiment only in that the set predetermined information is transmitted to the average power calculation unit 613 instead of the prediction unit 605.

The average power calculation unit 613 calculates the average power when the predetermined information is received from the predetermined information setting unit 604, and the average power is the battery of the battery ID indicated by the predetermined information by the customer of the customer ID indicated by the predetermined information. The power consumption per unit time when the battery 300 of the deterioration is assigned 300 (that is, the predetermined battery 300 is borrowed).

Specifically, when the predetermined information is received from the predetermined information setting unit 604, the average power calculation unit 613 transmits a processing execution command to the history information acquisition unit 606.

When receiving the processing execution command from the average power calculation unit 613, the history information acquisition unit 606 acquires the history information from the history table 850, and transmits the acquired history information to the average power calculation unit 613.

When receiving the history information from the history information acquisition unit 606, the average power calculation unit 613 refers to the difference table 800, and determines the deterioration discrimination corresponding to the battery ID indicated by the predetermined information (that is, the battery ID of the battery 300 to be borrowed). . Further, the average power calculation unit 613 extracts, from the history information received from the history information acquisition unit 606, history information corresponding to the determined deterioration classification and corresponding to the customer ID indicated by the predetermined information, and calculates the extracted information. The amount of power consumption indicated by the history information is divided by the average value of the value obtained during the lending period. Thereby, the average power is obtained, and the average power indicates the amount of power consumption per unit time when the customer who has made the battery replacement reservation uses the battery 300 of the deterioration classification to which the predetermined battery 300 belongs.

In addition, when there is no history information corresponding to the deterioration of the battery 300 to which the loan is reserved and the customer ID corresponding to the predetermined information is included in the history information, the average power calculation unit 613 calculates the average power of the first embodiment. Similarly, the unit 603 calculates at least one of the average power when the customer of the customer ID uses the battery belonging to the other deterioration classification and the average power when the other customer uses the battery belonging to the deterioration classification. Further, the average power calculation unit 613 may calculate the average power by performing interpolation using the calculated average power, and the average power indicates that the customer who has made the battery replacement reservation uses the loan reservation indicated by the predetermined information. The amount of power consumed per unit time when the battery is used.

The average power calculation unit 613 correlates the average power thus calculated in association with the predetermined loan period indicated by the predetermined information, and transmits the average power to the prediction unit.

When the information obtained by adding the average power and the predetermined rental period is received from the average power calculation unit 613, the prediction unit 605 calculates the estimated power consumption amount based on the average power and the loan predetermined period, and the estimated power consumption amount is the reservation. The estimated value of the amount of power used by the customer who replaced the battery in this loan.

As described above, the power consumption amount prediction system 120 of the present embodiment calculates the average power, which indicates the amount of power consumed per unit time when the customer who has reserved the battery replacement uses the battery to which the battery of the predetermined battery belongs. Therefore, even if the customer uses a different battery each time, the amount of electric power consumed by the customer can be accurately predicted.

[Other Embodiments] (A) In the above-described embodiment, an electric vehicle such as an electric vehicle is taken as an example of the electric power consumer in which the battery is mounted. However, the invention is not limited thereto.

For example, as a vehicle-mounted vehicle, in addition to an electric car, it may be an electric motor car, an electric unicycle, an electric bicycle, an electric assist bicycle, or a plug-in hybrid vehicle (PHV). ) and other means of transportation.

Further, the power consumer that mounts the battery is not limited to a vehicle, and may be another electrical product that is driven by a replaceable battery.

Examples of the electrical product include household appliances such as refrigerators, washing machines, vacuum cleaners, rice cookers, and hot water bottles that function by electric power from a battery pack.

Further, as a power consuming body in which a battery is mounted, a power tool can also be used.

At this time, the battery used for the electric power tool is charged in a battery station or the like that charges a plurality of batteries that can be borrowed. Further, by selecting a battery having a battery degradation degree as small as possible during charging, charging is performed, and the same effects as those of the above embodiment can be obtained.

Further, the user of the power consuming body is also not limited to the driver of the electric vehicle such as an electric car.

For example, in the case where the power consuming body is a power-assisted bicycle, it may be a person riding a bicycle. Further, when the power consuming body is a power tool, it may be a user such as a carpenter using a power tool.

(B) In the above-described embodiment, an example is described in which the average power is calculated based on the lending period and the power consumption amount corresponding to the plurality of divisions classified according to the degree of deterioration of the battery. However, the invention is not limited thereto.

For example, the average power may be calculated based on the lending period and the power consumption amount corresponding to the plurality of divisions classified according to the battery characteristics.

Further, as a characteristic of the battery, a battery having different full charge capacity, output, deterioration degree, remaining life, and the like is considered.

[Example of Implementation by Software] The control blocks of the information processing devices 400 and 410 (particularly, the respective portions of the information processing units 401 and 411) can be formed on an integrated circuit (IC) chip. (chip)) or the like is implemented by a logic circuit (hardware), and can also be implemented by a software using a central processing unit (CPU).

In the latter case, the information processing apparatuses 400 and 410 include the following parts, that is, a CPU, a program that executes a software that implements each function, that is, a program; a read only memory (ROM) or a memory device (to them) Referring to the "recording medium", the program and various materials can be read by a computer (or CPU); and a random access memory (RAM) is developed to expand the program. And, the program is read and executed from the recording medium by a computer (or a CPU), thereby achieving the object of the present invention. As the recording medium, "non-transitory tangible media" such as a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. Moreover, the program can also be provided to the computer via any transmission medium (communication network or broadcast wave, etc.) that can transmit the program. Further, in the present invention, the program may be realized by a form of a data signal embedded in a carrier wave embodied by electronic transmission.

The present invention is not limited to the embodiments described above, and various modifications can be made within the scope of the claims. The embodiments obtained by appropriately combining the technical means disclosed in the different embodiments are also included in the present invention. Within the technical scope of the invention.

[Industrial Applicability] The present invention is applicable to a power consumption amount prediction system for predicting a power consumption amount in a battery exchange type battery exchange station.

100, 110, 120‧‧‧Power Consumption Forecasting System
200‧‧‧Communication device
201, 302‧‧‧Wireless Communications Department
202‧‧‧ID input section
203‧‧‧Control Department
204, 303, 402, 412‧‧‧ Memory Department
300, 310‧‧‧ batteries
301‧‧‧ batteries
304‧‧‧Control Department (integrated circuit for control)
305‧‧‧SOH Measurement Department
306‧‧‧SOC Measurement Department
307‧‧‧ Current Value Measurement Department
400, 410‧‧‧Information processing device
401, 411‧‧‧Information Processing Department
403‧‧‧Reservation Reception Department
601‧‧Division Division
602‧‧‧ Resume Update Department (History Information Acquisition Department)
603, 613‧‧‧ average power calculation unit
604‧‧‧Scheduled Information Setting Department
605‧‧‧ Forecasting Department
606‧‧‧Resume Information Acquisition Department
614‧‧‧ lending the acquisition period for the scheduled period
624‧‧‧Loan battery decision department
800‧‧‧Dimension Table
850‧‧‧ resume
900‧‧‧Average electricity meter
S1～S9, S11～S17‧‧‧ steps

FIG. 1 is a block diagram showing a schematic configuration of a power consumption amount prediction system according to Embodiment 1 of the present invention. FIG. 2 is a block diagram showing a configuration of an information processing device included in the power consumption amount prediction system of FIG. 1. FIG. 3 is a view showing an example of a history table stored in a storage unit included in the information processing device of FIG. 2 . 4 is a diagram showing an example of a distinction table stored in a storage unit included in the information processing device of FIG. 2 . FIG. 5 is a view showing an example of an average power meter stored in a storage unit included in the information processing device of FIG. 2 . FIG. 6 is a view showing an example of classification of deterioration classification by the classification unit included in the information processing device of FIG. 2 . Fig. 7 is a flow chart showing the flow of processing of the information processing unit when the battery is returned to the battery exchange station. 8 is a flow chart showing a flow of processing by the information processing unit when a customer who wants to replace the battery inputs the reservation accepting unit. (a), (b), and (c) of FIG. 9 are diagrams showing another example of classification of deterioration classification by the classification unit included in the information processing device of FIG. 2 . FIG. 10 is a block diagram showing a schematic configuration of a power consumption amount prediction system according to Embodiment 2 of the present invention. FIG. 11 is a block diagram showing a schematic configuration of a power consumption amount prediction system according to Embodiment 3 of the present invention.

400‧‧‧Information processing device

401‧‧‧Information Processing Department

402‧‧‧Memory Department

403‧‧‧Reservation Reception Department

601‧‧Division Division

602‧‧‧ Resume Update Department (History Information Acquisition Department)

603‧‧‧Average power calculation department

604‧‧‧Scheduled Information Setting Department

605‧‧‧ Forecasting Department

614‧‧‧ lending the acquisition period for the scheduled period

624‧‧‧Loan battery decision department

800‧‧‧Dimension Table

850‧‧‧ resume

900‧‧‧Average electricity meter

Claims (13)

An information processing device is an information processing device for a station that lends a battery to a plurality of power consumers, wherein the battery in the station is classified into any one of a plurality of presets that are preset according to characteristics of the battery, The information processing device includes: a history information acquisition unit that acquires history information for each user of each power consuming body or power consuming body, the history information corresponding to the battery to which the previously lent battery is attached, and the battery History information of the lending period and the power consumption amount used in the lending period; and an average electric power calculating unit for each of the users of each electric power consumer or electric power consumer The average electric power is calculated based on the lending period and the electric power consumption amount corresponding to the division, and the average electric power indicates the amount of electric power consumed per unit time when the battery belonging to the division is used. The information processing device according to claim 1, further comprising: a loan-out period acquisition unit that acquires a loan-out scheduled period, wherein the loan-out scheduled period indicates a predetermined period of renting the battery; and the borrowed battery determination unit determines And a prediction unit that determines, from the average power calculated by the average power calculation unit, a power consumption body or power consumption corresponding to the division of the battery to which the loan is reserved, and the leased battery The average power corresponding to the user of the body, and predicting the power consumer or the power consumer based on the determined average power and the predetermined period of lending The user consumes the amount of power consumed by the predetermined battery. The information processing device according to claim 1, further comprising: a prediction period acquisition unit that acquires a prediction period, the prediction period indicating a period during which prediction of the amount of power consumed by the station is performed; and a prediction unit, For each user of each power consumer or power consumer, a representative value of the average power calculated for each of the plurality of divisions is calculated, and the predicted value is predicted based on the representative value and the predicted period The amount of power consumption consumed by the user of the power consumer or the power consumer during the predicted period. The information processing device according to claim 1, further comprising: a prediction period acquisition unit that acquires a prediction period, the prediction period indicating a period during which prediction of the amount of power consumed by the station is performed; and a prediction unit, Calculating a representative value of the average power for each of the plurality of divisions, and predicting power consumption when using the battery belonging to the division during the prediction period based on the representative value and the prediction period the amount. An information processing device is an information processing device for a station that lends a battery to a plurality of power consumers, wherein the battery in the station is classified into any one of a plurality of presets that are preset according to characteristics of the battery, The information processing device includes a history information acquisition unit that acquires history information, and the history information is associated with a battery to which a user who has borrowed a battery from a power consumer or a power consumer that has rented a battery in the past is attached, and the battery is borrowed. Use during and during the lending period The history information of the power consumption amount; the borrowed battery determination unit determines the battery to be borrowed; and the average power calculation unit extracts the history information corresponding to the division of the battery to which the loan is reserved from the history information. And calculating average power based on the lending period and the power consumption amount indicated by the extracted history information, the average power indicating the amount of power consumed per unit time when the battery is reserved using the predetermined battery . The information processing apparatus according to claim 5, further comprising: a loan-out period acquisition unit that acquires a loan-out period, the loan-out period indicates a predetermined period of renting a battery; and a prediction unit, based on The average electric power calculated by the average electric power calculation unit and the lending predetermined period predict the electric power consumption amount of the battery of the lending predetermined battery by the user of the electric power consumer or the electric power consumer. The information processing apparatus according to any one of claims 1 to 6, wherein the plurality of distinctions are based on a number of years of use of the battery, a cumulative number of uses of the battery, and a state of health indicating a state of deterioration of the battery. Set in at least one of them. The information processing device according to any one of the first to sixth aspects of the present invention, wherein the information processing device does not correspond to the user of the power consuming body or the power consuming body that is the target of calculating the average power, and is calculated as When the average power target is used to distinguish the history information, the average power calculation unit uses (1) The average electric power when the user of the other electric power consumer or the electric power consumer uses the battery that is the target of calculating the average electric power, and (2) the electric power consumer or the electric power consumer that is the target of calculating the average electric power The average electric power is calculated by the user using at least one of the average electric powers when the batteries belonging to the other divisions are used. The information processing device of claim 1, wherein the characteristic of the battery includes a degree of deterioration of the battery. An information processing method is an information processing method of a station that lends a battery to a plurality of power consumers, wherein the battery in the station is classified into any one of a plurality of presets that are preset according to characteristics of the battery, The information processing method includes: a history information obtaining step of acquiring history information for each user of each power consuming body or power consuming body, the history information corresponding to the battery to which the previously lent battery is attached, the battery History information of the lending period and the power consumption amount used in the lending period; and an average power calculating step for each user of each power consuming body or power consuming body The average electric power is calculated based on the lending period and the electric power consumption amount corresponding to the division, and the average electric power indicates the amount of electric power consumed per unit time when the battery belonging to the division is used. An information processing method for lending a battery to a plurality of power consumers The information processing method of the station, wherein the battery in the station is classified into any one of a plurality of presets that are preset according to characteristics of the battery, and the information processing method includes: a history information obtaining step of acquiring history information, The history information is a distinction corresponding to a battery to which a user who has borrowed a battery from a power consuming body or a power consuming body in the past has been attached, a battery lending period, and a power consumption amount used in the lending period. Resume information; lending a battery determination step, determining to lend a predetermined battery; and an average power calculation step of extracting history information corresponding to the division of the battery to which the loan is reserved, based on the history information, and based on The lending period and the amount of electric power consumption indicated by the extracted history information are used to calculate an average electric power indicating the amount of electric power consumed per unit time when the battery for which the lending is reserved is used. A program for causing a computer to function as an information processing device according to any one of claims 1 to 9, and for causing a computer to function as each of the units. A computer readable recording medium recorded with a program as described in claim 12 of the patent application.