WO2021246788A1 - 배터리 서비스 제공 시스템 및 방법 - Google Patents
배터리 서비스 제공 시스템 및 방법 Download PDFInfo
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- WO2021246788A1 WO2021246788A1 PCT/KR2021/006896 KR2021006896W WO2021246788A1 WO 2021246788 A1 WO2021246788 A1 WO 2021246788A1 KR 2021006896 W KR2021006896 W KR 2021006896W WO 2021246788 A1 WO2021246788 A1 WO 2021246788A1
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Definitions
- the present invention relates to a battery service providing system and method, and more particularly, a remote server collects data related to operation information of a battery mounted in an electric vehicle and provides various battery-related services based on the collected big data. It relates to a system and method.
- batteries are rapidly spreading not only to mobile devices such as cell phones, laptop computers, smart phones, and smart pads, but also to electric vehicles (EV, HEV, PHEV) and large-capacity power storage (ESS). have.
- EV electric vehicles
- HEV PHEV
- ESS large-capacity power storage
- a battery mounted in an electric vehicle includes a plurality of battery cell assemblies connected in series and/or in parallel to secure high energy capacity and high output.
- the battery cell may include one unit cell or a plurality of unit cells connected in series and/or in parallel.
- the unit cell means one independent cell that has a negative terminal and a positive terminal and is physically separable.
- one pouch-type lithium polymer cell may be regarded as a unit cell.
- the performance deterioration rate of EV batteries varies depending on the driver's driving habits or driving environment. For example, the battery of an electric vehicle operating in a mountainous area or an electric vehicle operating in a desert area or a cold area with frequent rapid acceleration or in a cold area is used in severe conditions, so the deterioration rate is relatively fast.
- the degree of degradation of battery performance can be quantified as a factor called SOH.
- SOH is a numerical value indicating the performance of the battery in the MOL (Middle Of Life) state as a relative ratio based on the performance of the battery in the BOL (Beginning Of Life) state.
- SOH can be quantified by the rate of decrease in capacity of the battery or the rate of increase in internal resistance.
- the degree of degradation of the battery is inversely proportional to the size of the SOH. That is, the SOH of the battery in the BOL state is expressed as 100%, and the SOH of the battery in the MOL state is expressed as a percentage lower than 100% as the deterioration degree of the battery increases. If the SOH falls below a certain level and reaches an end of life (EOL) state, the battery performance has deteriorated beyond the limit, and thus the battery needs to be replaced.
- EOL end of life
- the battery life can be extended by delaying the deterioration rate of the battery as much as possible only when the charge/discharge control logic is set differently according to the degree of deterioration of the battery.
- a method that can centrally monitor performance changes of a plurality of batteries belonging to the same model and efficiently update various control logics used for charging and discharging of electric vehicles.
- Electric cars are more expensive than cars that run on fossil fuels. This is because of the price of batteries installed in electric vehicles. Therefore, for the proliferation of electric vehicles, the government provides a subsidy program to subsidize a portion of electric vehicle prices. However, in order to popularize electric vehicles, it is necessary to further reduce the burden of purchasing electric vehicles through battery rental services.
- the present invention was created under the background of the prior art as described above, and centrally collects data representing the operating characteristics of a battery mounted in an electric vehicle from an electric vehicle control device mounted in the electric vehicle, and based on the collected data, the performance of the battery (e.g., , deterioration) and provides a system and method for providing a battery service based on big data that can provide various additional services related to batteries according to the diagnosed performance.
- data representing the operating characteristics of a battery mounted in an electric vehicle from an electric vehicle control device mounted in the electric vehicle, and based on the collected data, the performance of the battery (e.g., , deterioration) and provides a system and method for providing a battery service based on big data that can provide various additional services related to batteries according to the diagnosed performance.
- a battery service providing system comprising: an electric vehicle control device for collecting and managing operation characteristic information of a battery mounted in an electric vehicle and driving characteristic information of an electric vehicle; a battery service server connected to communicate with the electric vehicle control device through a network; and a database connected to the battery service server so that the battery service server is accessible.
- the battery service server collects and stores diagnostic analysis data including operation characteristic information of a battery and driving characteristic information of an electric vehicle from the electric vehicle control device through the network in the database, and stores the battery from the diagnostic analysis data. can determine the degree of degradation.
- the battery service server is configured to: (a) generate update information of a charge/discharge control logic of a battery according to the determined degree of degradation and provide it to the electric vehicle control device, or (b) (b) a battery of the battery based on the determined degree of degradation determining the residual value, (c) determining the usage charge of the battery based on the determined degree of degradation, (d) transmitting the usage fee or residual value of the battery to the external server at the request of the external server, or (e) ) may be configured to set a warranty flag for a battery whose charge/discharge control is performed according to update information of the charge/discharge control logic.
- the battery service server collects identification information including at least one selected from an electric vehicle model code, an electric vehicle identification code, a battery model code, and a battery identification code from the electric vehicle control device through a network, and diagnostic analysis data may be configured to match the identification information and store it in the database.
- the database includes a data area in which voltage profile information defined for each battery model and degradation degree is stored
- the battery service server includes voltage profile information for each degradation degree corresponding to a battery model for which the diagnostic analysis data is collected. may be configured to identify a voltage profile having the highest similarity to the voltage profile included in the diagnostic analysis data with reference to , determine the degradation degree corresponding to the identified voltage profile as the degradation degree of the battery, and store the determined voltage profile in the database.
- the update information of the charge/discharge control logic includes a size of a charge current applied to each charge state section, a charge upper limit voltage value, a lower discharge limit voltage value, a maximum charge current, a maximum discharge current, a minimum charge current, a minimum discharge current, and a maximum It may include at least one selected from a temperature, a minimum temperature, a power map for each state of charge, and an internal resistance map for each state of charge.
- the update information of the charge/discharge control logic may include, when the battery is pulsed and discharged, the upper limit of the pulse current duty ratio, the lower limit of the pulse current duty ratio, the upper limit of the pulse current duration, the lower limit of the pulse current duration, and the It may include at least one selected from a maximum value and a minimum value of the pulse current.
- the update information of the charging/discharging control logic may include the amount of charging current applied to each charging state section when the battery is charged stepwise.
- the update information of the charge/discharge control logic may include, when the battery is charged in the CC/CV mode, the current magnitude in the constant current charging (CC) mode, the cutoff voltage at which the constant current charging (CC) mode is terminated, and the constant voltage charging It may include at least one selected from voltage magnitudes in the (CV) mode.
- the battery service server may be configured to analyze the diagnostic analysis data collected from the electric vehicle control device in real time to determine the degree of deterioration of the battery, match the determined degree of deterioration with the battery identification code, and store it in the database.
- the battery service server learns the correlation between the diagnostic analysis data and the degradation degree using the diagnostic analysis data and degradation degree information of other batteries stored as big data in the database using an artificial intelligence model. and determine the degree of deterioration of the battery from the diagnostic analysis data collected from the electric vehicle control device using the learned artificial intelligence model.
- the battery service server may be configured to learn artificial intelligence using diagnostic analysis data and degradation degree information collected for other batteries having the same model.
- the battery service server relates to an identification code of a battery mounted in an electric vehicle and a battery performance management service through an integrated information display of an electric vehicle by the electric vehicle control device or a user interface provided through a user's mobile communication terminal. It may be configured to receive use application information, generate update information of the charge/discharge control logic for the battery to which the use application information has been received, and provide it to the electric vehicle control device.
- the battery service server may be configured to further receive payment information in the receiving step of the use application information, and to charge for generation and provision of update information of the charge/discharge control logic.
- the battery service server refers to a residual value lookup table in which residual values are defined according to the degree of deterioration of the battery and calculates a residual value corresponding to the determined degree of deterioration, and integrated information of the electric vehicle interlocked with the electric vehicle control device It may be configured to provide through a display or a display of a user's mobile communication terminal.
- the battery service server further receives the accumulated charge/discharge amount of the battery along with the diagnostic analysis data from the electric vehicle control device, and the battery usage fee according to the accumulated charge/discharge amount and the degradation degree It may be configured to calculate and provide through the integrated information display of the electric vehicle interlocked with the electric vehicle control device or the display of the user's mobile communication terminal.
- the external server is an insurance company server of an insurance company
- the battery service server receives a battery identification code from the insurance company server through a network, and refers to the database and refers to a battery corresponding to the received battery identification code. It may be configured to determine the residual value information of , and to provide the determined residual value information of the battery to the insurance company server.
- the external server is an e-commerce server of an electric vehicle used trading company
- the battery service server receives the battery identification code from the e-commerce server through a network, and refers to the database to refer to the received battery identification code. and determine the residual value information of the battery corresponding to , and provide the determined residual value information of the battery to the e-commerce server.
- the external server is a warranty authentication server of a battery guarantee company that requests warranty authentication for the battery
- the battery service server receives a battery identification code from the warranty authentication server through a network, and stores the database. It may be configured to determine whether a guarantee flag corresponding to the received battery identification code exists in the database with reference to, and to transmit a warranty authentication success message to the warranty authentication server if the guarantee flag exists.
- the battery service server receives target advertisement information according to location coordinates from an advertisement server, stores it in a database, and operates on a movement path of an electric vehicle while receiving the diagnostic analysis data from the electric vehicle control device It may be configured to further receive information, search for target advertisement information matching the movement path of the electric vehicle from the database, and provide it through the integrated information display of the electric vehicle linked with the electric vehicle control device or the display of the user's mobile communication terminal. .
- the battery service server collects the diagnostic analysis data from the electric vehicle control device through a charging station while the battery of the electric vehicle is being charged at the charging station, or collects the diagnostic analysis data from the electric vehicle control apparatus while the electric vehicle is running or stopped may be configured to collect data.
- diagnostic analysis data including operation characteristic information of a battery and driving characteristic information of an electric vehicle are collected from an electric vehicle control device through a network and stored in a database to do; determining a degree of deterioration of the battery from the diagnostic analysis data; and generating update information of a charge/discharge control logic of a battery according to the determined degree of degradation and providing the updated information to the electric vehicle control device; determining a residual value of the battery based on the determined degree of degradation; determining a charge for using the battery based on the determined degree of degradation; transmitting the usage charge or residual value of the battery to an external server according to a request from the external server; and setting a warranty flag for a battery for which charge/discharge control is performed according to update information of the charge/discharge control logic.
- the present invention since it is possible to reliably evaluate the battery performance of an electric vehicle and to optimize the charge/discharge control logic of the battery to match the performance of the battery, it is possible not only to extend the service life of the battery but also to increase the safety of using the battery. have.
- FIG. 1 is a block diagram showing the configuration of a battery service providing system according to an embodiment of the present invention.
- FIG. 2 is a block diagram showing the configuration of a database according to an embodiment of the present invention.
- 3 to 5 are graphs exemplarily showing frequency distribution data generated from accumulated information on operating characteristics of an electric vehicle battery according to an embodiment of the present invention.
- 6 to 8 are graphs exemplarily showing frequency distribution data generated from accumulated information on driving characteristics of an electric vehicle according to an embodiment of the present invention.
- FIG. 9 is a diagram exemplarily showing the structure of an artificial neural network according to an embodiment of the present invention.
- FIG. 10 is a diagram exemplarily showing the structure of an auxiliary artificial neural network according to an embodiment of the present invention.
- FIG. 1 is a block diagram schematically showing the configuration of a battery service providing system 10 according to an embodiment of the present invention.
- a battery service providing system 10 provides various services for a battery 51 mounted in an electric vehicle 50 .
- the electric vehicle 50 includes an electric vehicle control device 52 that generally controls the charging and discharging of the battery 51 and the operation of the electric vehicle 50 .
- the electric vehicle control device 52 is a computer device that controls the charging/discharging operation of the battery 51, measures the voltage, current, and temperature of the battery 51 during charging and discharging of the battery 51 and records it in the storage means 52a do.
- the electric vehicle control device 52 may also perform a control operation of a mechanical mechanism and/or an electronic mechanism related to the operation of the electric vehicle 50 .
- the storage means 52a is a non-transitory memory device and is a computer storage medium capable of writing and/or erasing and/or modifying and/or transferring data.
- the storage means 52a may be, for example, a flash memory, a hard disk, a solid state disk (SSD), or other types of data storage hardware.
- the electric vehicle control device 52 is a computer device mounted on the electric vehicle 50 and is widely known in the art and commercialized, so a detailed description thereof will be omitted.
- the electric vehicle control device 52 transmits and receives information and/or data to and from the battery service server 30 through the communication device 20 .
- a network 40 supporting data communication is interposed between the communication device 20 and the battery service server 30 .
- the network 40 is not limited in its type as long as it supports communication between the communication device 20 and the battery service server 30 .
- Network 40 includes a wired network, a wireless network, or a combination thereof.
- Wired networks include local area or wide area Internet that supports TCP/IP protocol.
- the wireless network includes a wireless communication network based on a base station, a satellite communication network, a local area wireless communication network such as Wi-Fi, or a combination thereof.
- Network 40 for example, 2G (second generation) to 5G (fifth generation) network, LTE (Long Term Evolution) network, GSM (Global System for Mobile communication) network, code division multiple access (Code Division Multiple Accesses) network, an Evolution-Data Optimization (EVDO) network, a Public Land Mobile network, and/or other networks.
- LTE Long Term Evolution
- GSM Global System for Mobile communication
- code division multiple access Code Division Multiple Accesses
- EVDO Evolution-Data Optimization
- Public Land Mobile network and/or other networks.
- the network 40 may include a local area network (LAN), a wireless local area network (WLAN), a wide area network, and a metropolitan network (MAN). , Public Switched Telephone Network (PSTN), ad hoc network, managed IP network, Virtual Private Network, intranet, Internet, fiber based network, and /or combinations thereof, or other types of networks.
- LAN local area network
- WLAN wireless local area network
- MAN metropolitan network
- PSTN Public Switched Telephone Network
- IP network Virtual Private Network
- intranet Internet
- fiber based network fiber based network
- combinations thereof or other types of networks.
- the communication device 20 is a communication device that mediates the exchange of data between the electric vehicle control apparatus 52 included in the electric vehicle and the battery service server 30 .
- the communication device 20 may be provided inside the electric vehicle 50 .
- the communication device 20 may be provided at the charging station.
- the communication device 20 and the electric vehicle control device 52 may transmit/receive data to each other through a data communication cable included in a standardized charging cable.
- the communication device 20 is not particularly limited as long as it can exchange data with the battery service server 30 through the network 40 .
- the communication device 20 may be a communication modem that supports a wired or wireless communication protocol known in the art.
- the communication device 20 may be a separate module or set-top box installed in a designated place.
- the designated place may be a charging station of the electric vehicle 50 , a parking lot of a house in which the user of the electric vehicle 50 resides, or a parking lot of a workplace where the user of the electric vehicle 50 works.
- the electric vehicle control device 52 may collect operation characteristic information of the battery 51 while the battery 51 is being charged or discharged and record it in the storage means 15a.
- the operating characteristic information may include one or more selected from voltage, current, and temperature of the battery 51 .
- the electric vehicle control device 52 may record the operation characteristic information of the battery 51 together with the state of charge (SOC) and/or time stamp of the battery 51 in the storage means 52a.
- SOC state of charge
- the electric vehicle control device 52 may estimate the state of charge of the battery 51 using an ampere counting method, an open circuit voltage (OCV) method, an extended Kalman filter, or the like known in the art.
- the electric vehicle control device 52 may be electrically coupled with a voltage sensor, a current sensor, and a temperature sensor installed in the battery 51 to collect operation characteristic information of the battery 51 .
- the voltage, current and temperature of the battery 51 may be stored in the storage means 52a in the form of a profile according to the state of charge (SOC) of the battery 51 .
- SOC state of charge
- the profile is a data set indicating changes in voltage, current, and temperature according to the state of charge of the battery 51 .
- the data set can be represented by a multidimensional vector (SOC k , I k , V k , T k ).
- k is an index for the measurement time of the operation characteristic. If the number of times of measurement is n, k is a natural number from 1 to n.
- the battery operating characteristic profile includes a voltage profile (SOC k , V k ) according to a state of charge, and optionally a current profile (SOC k , I k ) and/or a temperature profile (SOC k , T k ) according to the state of charge. may include
- the electric vehicle control device 52 may record the driving characteristic information of the electric vehicle 50 in the storage means 52a.
- the driving characteristic information includes a speed change profile and a driving distance accumulation profile of the electric vehicle 50 .
- the driving characteristic information may further include coordinate data for a moving path of the electric vehicle 50 .
- the velocity change profile includes a set of velocity data SOC k , Velocity k , t k according to the state of charge of the battery 51 .
- velocity and t are the operating speed and time stamp of the electric vehicle 50, respectively.
- the accumulated travel distance profile includes sets of accumulated travel distance data Q k , d k , and t k according to the accumulated discharge amount of the battery 51 .
- Q, d, and k are the cumulative discharge amount, the driving cumulative distance, and the time stamp, respectively.
- the driving characteristic information may include a driving time of the electric vehicle 50 for each humidity section.
- the electric vehicle control device 52 may record the driving characteristic information of the electric vehicle 50 together with a time stamp in the storage means 52a.
- the electric vehicle control device 52 may be electrically coupled to a speed sensor, a GPS sensor, and a humidity sensor installed in the electric vehicle 50 to collect and store driving characteristic information.
- the battery service providing system 10 may include a database 60 connected to the battery service server 30 so that the battery service server 30 is accessible.
- FIG. 2 is a block diagram showing the configuration of the database 60 according to an embodiment of the present invention.
- the database 60 may include a battery identification information storage unit 61 .
- the battery identification information storage unit 61 is an information storage area for recording a battery model code, a battery identification code, an electric vehicle model code equipped with a battery, an electric vehicle identification code, a battery installation date, and the like. The type of information recorded in the battery identification information storage unit 61 may be added or changed.
- the Database 60 may also include diagnostic analysis data storage 62 .
- the diagnostic analysis data storage unit 62 is an information storage area in which diagnostic analysis data collected from the electric vehicle control device 52 is recorded. The area in which the diagnostic analysis data is stored is allocated for each battery 51 to which a battery identification code is assigned. The type of information recorded in the diagnostic analysis data storage unit 62 may be added or changed.
- the diagnostic analysis data includes at least one selected from the group consisting of a speed change profile of the electric vehicle 50 , a mileage accumulation profile, and a battery operating characteristic profile.
- the battery operating characteristic profile includes a voltage, current, and temperature change profile according to the state of charge of the battery 51 as the latest charging characteristic information.
- the diagnostic analysis data is the cumulative operation characteristic information for the battery 51 , and the cumulative operating time for each voltage section, the cumulative operating time for each current section, and the temperature section for the battery 51 mounted in the electric vehicle 50 . It may include at least one selected from the group including star cumulative operation time.
- the diagnostic analysis data is the driving characteristic cumulative information for the electric vehicle 50, including the cumulative operating time for each speed section, the cumulative operating time for each operation region, and the cumulative driving time for each humidity section for the electric vehicle 50 It may include at least one or more selected from the group.
- the database 60 also includes an accumulated charge/discharge amount storage unit 63 .
- the accumulated charge/discharge amount storage unit 63 is an information storage area in which information on the accumulated charge/discharge amount obtained by accumulating the charge/discharge amount of the battery is recorded. The area in which the accumulated charge/discharge amount is stored is allocated to each battery 51 to which the battery identification code is assigned. The type of information recorded in the accumulated charge/discharge amount storage unit 63 may be added or changed.
- the database 60 includes a regression lookup table storage 64 .
- the degradation lookup table storage unit 64 is an information storage area in which voltage profile information according to the state of charge of the battery 51 is recorded for each degradation degree. A region in which voltage profile information is stored for each degradation degree is allocated to each battery to which the same battery model code is assigned.
- the degradation lookup table storage unit 64 may be predefined using data provided by a battery manufacturer and stored in the database 60 . The type of information recorded in the degradation lookup table storage unit 64 may be added or changed.
- the database 60 may also include a battery residual value storage 65 .
- the battery residual value storage unit 65 is an information storage area in which the residual value of the battery 51 is stored.
- the residual value may be calculated for each battery to which a battery identification code is assigned.
- the residual value is determined from the deterioration degree of the battery. For example, as the degree of degradation is large and the SOH is lower, the residual value decreases.
- the correlation between the residual value and the degree of degradation may be predefined by a function.
- the type of information recorded in the battery residual value storage unit 65 may be added or changed.
- the database 60 may also include a battery charge storage unit 66 .
- the battery charge storage unit 66 is an information storage area in which battery charge information calculated based on the accumulated charge/discharge amount of the battery 51 and the increase in deterioration (reduction in SOH) of the battery 51 is stored.
- the battery usage fee is calculated after the battery to which the battery identification code is assigned is mounted in the electric vehicle 50 .
- the battery usage fee may be initialized to zero.
- the battery 51 for which the battery usage fee is calculated is a battery that has applied for a battery rental service, which will be described later. Whether to apply for lease of the battery can be identified by setting a lease flag in the battery identification information storage unit 61 .
- the type of information recorded in the battery usage charge storage unit 66 may be added or changed.
- the Database 60 may also include warranty flag storage 67 .
- the guarantee flag storage unit 67 is an information storage area in which a guarantee flag provided when a performance management service is regularly provided for a predetermined time with respect to the battery 51 mounted in the electric vehicle 50 is stored. The type of information recorded in the guarantee flag storage unit 67 can be added or changed.
- the database 60 may also include a charging information storage unit 68 .
- the charging information storage unit 68 includes an identification code of the battery 51 subject to billing when various battery services provided according to the present invention are provided for a fee, and an identification code of a user of the electric vehicle 50 in which the battery 51 is mounted. It is an information storage area in which information such as (ID), billing amount, payment method, and payment date is recorded. The type of information recorded in the billing information storage unit 68 can be added or changed.
- the identification information may include at least one selected from the group consisting of an electric vehicle model code, an electric vehicle identification code, a battery model code, a battery identification code, and a user identification code (ID).
- database 60 may preferably be a relational database.
- each of the above-described storage units may be configured in the form of a table.
- each storage unit is configured as a typical file database.
- the database 60 may be constructed with any type of database known in the art, such as a relational database, a file directory database, and the like.
- the storage units exemplified above are merely examples, and there is no particular limitation on the type of information or data that can be recorded and managed in the database 60 .
- the battery service server 30 collects diagnostic analysis data about the electric vehicle 50 from the charging station through the network 40 while the electric vehicle 50 is being charged at the charging station, and collects diagnostic analysis data on the database 60 ) can be stored in
- the diagnostic analysis data may include a speed change profile according to the state of charge of the electric vehicle 51 and/or a mileage accumulation profile according to the accumulated discharge amount and/or a battery operation characteristic profile according to the state of charge.
- the diagnostic analysis data may include an electric vehicle model code and/or an electric vehicle identification code and/or a battery model code and/or a battery identification code as data identification information.
- the diagnostic analysis data may optionally further include movement path information of the electric vehicle 50 .
- the diagnostic analysis data is the cumulative operating time for each voltage section, the cumulative operating time for each current section, and the cumulative operating time for each temperature section for the battery 51 of the electric vehicle 50 as operating characteristic cumulative information for the battery 51 . It may include at least one or more selected from the group comprising.
- the diagnostic analysis data may include at least one selected from the group including cumulative driving time for each speed section, cumulative driving time for each operation region, and cumulative driving time for each humidity section as driving characteristic cumulative information for the electric vehicle 50. have.
- the diagnostic analysis data may further include other data sets representing the electrochemical operating characteristics of the battery 51 as necessary, and some of the data mentioned above may be excluded depending on the level of the diagnostic analysis.
- At least a portion of the diagnostic analysis data may be used to train an artificial intelligence model.
- the communication device 20 may be provided in the charging station, and the communication device 20 may transmit/receive data to and from the electric vehicle control device 52 inside the electric vehicle 50 .
- Voltage, current, and temperature information included in the diagnostic analysis data may be collected by the electric vehicle control device 52 while the battery 51 of the electric vehicle 50 is charged at the charging station.
- the charging station may communicate with the electric vehicle control device 52 to exchange information and/or data while the electric vehicle 50 is being charged.
- the communication is via a data communication line included in the charging cable.
- communication is made through wireless communication between the charging station and the electric vehicle 50 .
- the charging station and the electric vehicle 50 may include a short-range wireless communication device.
- the charging station may transmit information and/or data collected from the electric vehicle 50 to the battery service server 30 according to a predefined communication protocol through the network 40 .
- the electric vehicle control device 52 generates and records the diagnostic analysis data in the storage means 52a while the electric vehicle 50 is running or while the electric vehicle 50 is being charged at the charging station. When there is a request from the charging station, the electric vehicle control device 52 reads the diagnostic analysis data recorded in the storage means 52a and the communication device ( 20) is sent.
- the battery service server 30 connects to the battery 51 of the electric vehicle 50 through the network 40 from the communication device 20 included in the electric vehicle 50 while the electric vehicle 50 is in operation. Diagnostic analysis data related to the collected data may be stored in the database 60 .
- the electric vehicle control apparatus 52 reads the diagnostic analysis data recorded in the storage means 52a when there is a request for transmission of the diagnostic analysis data from the battery service server 30 through the communication device 20 to control the communication device 20 . through the battery service server 30 .
- the battery service server 30 when the electric vehicle 50 is parked, the battery service server 30 is configured to diagnose the battery 51 of the electric vehicle 50 through the network 40 from the communication device 20 separately installed in the parking place. Analysis data may be collected and stored in the database 60 .
- the electric vehicle control device 52 records the diagnosis recorded in the storage means 52a The analysis data may be read and transmitted to the battery service server 30 side through the communication device 20 .
- the battery service server 30 analyzes the accumulated operating time for each voltage section, the accumulated operating time for each current section, and the accumulated operating time for each temperature section of the battery 51 included in the diagnostic analysis data to determine voltage, current and After generating the frequency distribution data for each temperature, the model code of the electric vehicle 50 and/or the identification code of the electric vehicle 50 and/or the model code of the battery 51 and/or the identification code of the battery 51 are matched. It may be recorded in the diagnostic analysis data storage unit 62 of the database 60 .
- a variable in the frequency distribution data, may be a voltage, current, or temperature, and a frequency may be an accumulated operation time of the battery 51 in each variable.
- FIG. 3 is a graph showing an example of frequency distribution data with respect to the voltage of the battery 51
- FIG. 4 is a graph showing an example of frequency distribution data with respect to the current of the battery 51
- FIG. 5 is the battery 51 ) is a graph showing an example of frequency distribution data for temperature.
- the frequency distribution data are the cumulative operating time of the battery 51 for each voltage section, the cumulative operating time of the battery 51 for each current section, and the battery for each temperature section ( 51) of the accumulated operation time information may be provided.
- the frequency distribution data may be used by the battery service server 30 to train an artificial intelligence model. This will be described later.
- the battery service server 30 analyzes the cumulative driving time for each speed section and/or the cumulative driving time for each operation region and/or the cumulative driving time for each humidity section of the electric vehicle 50 included in the diagnostic analysis data to analyze the electric vehicle 50 .
- the model code of the electric vehicle 50 and/or the identification code of the electric vehicle 50 and/or the model code of the battery 51 and/or the battery 51 It can be recorded in the diagnostic analysis data storage unit 62 of the database 60 by matching with the identification code of .
- the variable is the speed of the electric vehicle 50, the operating area of the electric vehicle 50 or the humidity of the electric vehicle 50 operating area, and the frequency is at each variable. may be the cumulative operating time of the electric vehicle 50 of
- FIG. 6 is a graph showing an example of frequency distribution data for the speed of the electric vehicle 50
- FIG. 7 is a graph showing an example of frequency distribution data for the operating area of the electric vehicle 50
- FIG. 8 is an electric vehicle ( 50) is a graph showing an example of frequency distribution data for the humidity of the area in which it operates.
- the frequency distribution data provides information on the cumulative operating time for each speed section of the electric vehicle 50, the cumulative operating time for each operation region, and the cumulative operating time for each humidity section while the electric vehicle 50 is operating can do.
- a region may be a national and/or foreign administrative division.
- the region may be a city, but the present invention is not limited thereto.
- the frequency distribution data may be used by the battery service server 30 to train an artificial intelligence model. This will be described later.
- the battery service server 30 determines the degree of degradation of the battery 51 by using the operating characteristic profile of the battery 51 included in the diagnostic analysis data, and sets the degree of degradation to the electric vehicle.
- the diagnostic analysis data storage unit ( 62) can be recorded.
- the degree of degradation stored in the diagnostic analysis data storage unit 62 may be used for learning the artificial intelligence model.
- the battery service server 30 determines whether the operating characteristic profile of the battery 51 is collected in a preset deterioration estimation voltage section. To this end, the battery service server 30 may examine the voltage distribution of the voltage profile according to the change in the state of charge. If the determination is YES, the battery service server 30 determines the amount of change in the charging capacity by accumulating the current data measured in the degeneration estimation voltage section, and determines the ratio of the change in the charge capacity to the change in the reference charge capacity as the deterioration degree. have.
- the reference charge capacity change amount is a charge capacity change amount indicated while the battery 51 in the BOL state is being charged in the degradation estimated voltage section, and the reference charge capacity change amount can be recorded in advance in the database 60 for each battery 51 model. have.
- the battery service server 30 analyzes the operating characteristic profile (SOC k ,V k ,I k ,T k ) of the battery 51 included in the diagnostic analysis data within a preset degradation estimation voltage range. It is determined whether the battery 51 is charged and a plurality of voltage data is measured under the variable charging current condition. To this end, the battery service server 30 may examine the distribution of the voltage data V k and the current data I k .
- the battery service server 30 performs a linear regression analysis on a plurality of current and voltage data measured within a preset deterioration estimation voltage section to obtain an average value of
- the charging station may apply an AC charging current and/or charging pulses having different amplitudes to the battery 51 while the battery 51 is charged within a preset deterioration estimation voltage range. Then, a plurality of voltage data may be measured under the variable charging current condition.
- the reference internal resistance value is the internal resistance value of the battery 51 in the BOL state, and the reference internal resistance value may be previously recorded in the database 60 for each battery model.
- the battery service server 30 may determine the degradation degree of the battery 51 in real time by using the extended Kalman filter.
- a method of determining the degree of degradation using an extended Kalman filter is disclosed in Korean Patent Application Laid-Open No. 2007-0074621, and may be incorporated herein as a part of the present invention.
- the disclosed method is a method that can determine the degradation degree from voltage, current and temperature of a battery in real time using an extended Kalman filter, which is one of adaptive algorithms, and is particularly useful when applied to the present invention.
- the battery service server 30 uses the operating characteristic profile of the battery 51 included in the diagnostic analysis data and the degradation degree lookup table storage unit 64 of the database 60 based on the big data. ) may determine the degree of degradation of the battery 51 .
- the battery service server 30 identifies the battery model by inquiring the battery identification information storage unit 61 using the battery identification code included in the diagnostic analysis data. Then, the voltage profile with the highest similarity to the voltage profile included in the diagnostic analysis data is identified by referring to the degradation degree lookup table storage unit 64 and the voltage profile information for each degradation degree corresponding to the same model is identified.
- the degradation degree corresponding to the voltage profile may be determined as the degradation degree of the battery 51 .
- the battery service server 30 may determine the degradation degree of the battery 51 using an artificial intelligence model.
- the degree of degradation determined from the above-described operating characteristic profile of the battery 51 constitutes a part of big data used to learn the artificial intelligence model, and the actual degree of degradation for the battery 51 is based on the big data. It can be determined by a trained artificial intelligence model.
- the reason is that there is a limitation that the degree of degradation calculated from the recent operating characteristic profile of the battery 51 can be determined only when a predetermined condition is satisfied, and the past use history of the battery 51 and the operation history of the electric vehicle 50 are This is because the degree of degradation determined by the artificial intelligence model trained based on big data has higher accuracy and reliability because it has not been sufficiently considered.
- the artificial intelligence model is a software algorithm coded in a programming language, and may be an artificial neural network.
- the present invention is not limited thereto.
- FIG. 9 is a diagram showing the structure of the artificial neural network 100 according to an embodiment of the present invention.
- the artificial neural network 100 includes an input layer 101 , a plurality of hidden layers 102 , and an output layer 103 .
- the input layer 101 , the plurality of hidden layers 102 , and the output layer 103 include a plurality of nodes.
- the battery service server 30 operates the battery 51 as the input layer 101 when learning the artificial neural network 100 or when using the artificial neural network 100 to determine the degree of degradation of the battery 51 .
- Frequency distribution data generated from accumulated characteristic information FIGS. 3 to 5
- frequency distribution data generated from accumulated driving characteristic information of the electric vehicle 50 FIGS. 6 to 8
- included in the operating characteristic profile of the battery 51 data can be entered.
- the accumulated operation characteristic information input (assigned) to the nodes of the input layer 101 includes a first accumulated time value for each voltage section and/or a second accumulated time value for each current section and/or a third accumulated time value for each temperature section.
- the first to third accumulated time values are preferably normalized as a ratio based on the total usable time corresponding to the guaranteed life of the battery 51 . In an example, if the accumulated time value in a specific voltage section is 1000 hours and the total available time is 20000 hours, the normalized accumulated time value is 1/20 (0.05).
- the number of first accumulated time values may correspond to the number of voltage sections
- the number of second accumulated time values may correspond to the number of current sections
- the number of third accumulated time values may correspond to the number of temperature sections. For example, if the number of voltage sections is 5, the number of current sections is 9, and the number of temperature sections is 10, the number of first to third accumulated time values is 5, 9, and 10, respectively.
- the input layer 101 may include a number of nodes corresponding to the number of first accumulated time values and/or the number of second accumulated time values and/or the number of third accumulated time values.
- the accumulated driving characteristic information input (assigned) to the nodes of the input layer 101 includes a fourth accumulated time value for each speed section and/or a fifth accumulated time value for each operation region and/or a sixth accumulated time value for each humidity section. can do.
- the fourth to sixth accumulated time values are preferably normalized as a ratio based on the total usable time corresponding to the guaranteed life of the battery 51 . In one example, if the accumulated time value in a specific speed section is 2000 hours and the total available time is 20000 hours, the normalized accumulated time value is 1/10 (0.1).
- the number of fourth accumulated time values corresponds to the number of speed sections
- the number of fifth accumulated time values corresponds to the number of regions in which the electric vehicle 50 operates
- the number of sixth accumulated time values corresponds to the number of humidity sections.
- the input layer 101 may include a number of nodes corresponding to the number of the fourth accumulated time values and/or the number of the fifth accumulated time values and/or the number of the sixth accumulated time values.
- the operating characteristic profile data of the battery 51 input (allocated) to the nodes of the input layer 101 may include voltage data and temperature data measured for each state of charge. Since both the voltage and temperature of the battery 51 are measured for each SOC, 100 nodes may be allocated for input of voltage data, and another 100 nodes may be allocated for input of temperature data.
- 100 is the number of nodes corresponding to the SOC from 1% to 100%, assuming that the SOC changes by 1% from 0% to 100%. If the voltage and temperature of the battery 51 are measured in the SOC section of 31% to 50%, voltage data is input to 20 nodes corresponding to 31% to 50%, and the voltage data corresponding to 31% to 50% Temperature data can be input to the other 20 nodes. In addition, voltage data and temperature data are not input to nodes corresponding to the SOC in the 1% to 30% range and the SOC in the 51% to 100% range, and 0 may be assigned.
- voltage data and temperature data measured in the SOC including a value after a decimal point may be converted into voltage data and temperature data of a nearby SOC without a decimal point through interpolation or extrapolation.
- the temperature data may be excluded from the input data in order to reduce the amount of learning computation of the artificial neural network.
- the input layer 101 may not include nodes to which temperature data is input.
- the output layer 103 may include a node to which deterioration degree information of the battery 51 is output. As shown in FIG. 9 , when the artificial neural network 100 is designed based on a stochastic model, the output layer 103 may include a plurality of nodes for outputting a probability distribution of the degradation degree of the battery 51 . can
- the output layer 103 may include a total of 30 nodes.
- the degradation degree corresponding to the node outputting the highest probability value among the 30 nodes may be determined as the degradation degree of the battery 51 .
- the degradation degree of the battery 51 may be determined to be 80%.
- the average of the total may be determined as the degradation degree. It is apparent to those skilled in the art that the number of nodes may be further increased in order to improve the accuracy of the degree of degradation.
- the output layer 103 may include at least one node for directly outputting the degradation degree of the battery 51 .
- the number of hidden layers 102 interposed between the input layer 101 and the output layer 103 and the number of nodes included in each hidden layer 102 depend on the amount of learning of the artificial neural network 100 and the accuracy of the artificial neural network 100 and It can be appropriately selected in consideration of reliability.
- a sigmoid function may be used as the activation function.
- various activations known in the art such as a Sigmoid Linear Unit (SiLU) function, a Rectified Linear Unit (ReLu) function, a softplus function, an Exponential Linear Unit (ELU) function, a Square Linear Unit (SQLU) function, etc. functions can be used.
- SiLU Sigmoid Linear Unit
- ReLu Rectified Linear Unit
- ELU Exponential Linear Unit
- SQL Square Linear Unit
- initial values of a connection weight and a bias between nodes may be randomly set.
- the connection weight and bias can be optimized in the learning process of the artificial neural network.
- the artificial neural network may be trained by a backpropagation algorithm.
- the connection weight and bias can be optimized by the optimizer while the artificial neural network is being trained.
- a stochastic gradient descent (SGD) algorithm may be used as the optimizer.
- SGD stochastic gradient descent
- NAG Nesterov Accelerated Gradient
- Momentum algorithm Momentum algorithm
- Nadam algorithm Nadam algorithm
- Adagrad algorithm Adagrad algorithm
- RMSProp algorithm Adadelta algorithm
- Adam algorithm etc.
- the battery service server 30 may periodically and repeatedly learn the artificial neural network 100 using data stored in the diagnostic analysis data storage unit 62 of the database 60 .
- the battery service server 30 may collect diagnostic analysis data from the electric vehicle control device 52 of a number of electric vehicles 50 by using the above-described method, and accumulate and record the diagnostic analysis data in the database 16 .
- the training data of the artificial neural network 100 is composed of learning input data and learning output data.
- the learning input data may include frequency distribution data generated from accumulated driving characteristic information of the electric vehicle 50 , frequency distribution data generated from operating characteristic accumulated information of the battery 51 , and operating characteristic profile data.
- the learning output data includes the degree of degradation of the battery 51 determined using the operating characteristic profile. Various methods for determining the degree of degradation from the operating characteristic profile have already been described above.
- the diagnostic analysis data to be used for learning is matched with the model code of the electric vehicle 50 and/or the identification code of the electric vehicle 50 and/or the model code of the battery 51 and/or the identification code of the battery 51 It may be recorded in the diagnostic analysis data storage 62 of the database 60 . Accordingly, a number of learning data collected from the electric vehicle 50 of the same model in which the battery 51 of the same model is mounted may be recorded in the diagnostic analysis data storage 62 . In addition, since the learning data is continuously collected through the electric vehicle control device 52 , the amount may be gradually increased.
- the battery service server 30 reduces the computational load of learning the artificial neural network 100 through distributed processing of data and improves the reliability of the output predicted by the artificial neural network 100.
- the model of the electric vehicle 50 and / Alternatively, the artificial neural network may be separately trained for each battery 51 model.
- the battery service server 30 periodically trains the artificial neural network 100 , among the training data stored in the diagnostic analysis data storage 62 , the model of the electric vehicle 50 and/or the model of the battery 51 are the same. By extracting only the training data, the artificial neural network 100 dedicated to the model of the electric vehicle 50 and/or the battery 51 model may be independently trained. In addition, when the amount of newly collected learning data for the model of the electric vehicle 50 and/or the model of the battery 51 increases above the reference value, the battery service server 30 resumes learning of the corresponding artificial neural network 100 . Thus, the accuracy of the artificial neural network 100 can be further improved.
- the artificial neural network 100 for each region grouping a plurality of regions can be taught separately.
- the battery service server 30 may group cities according to a predetermined criterion, and train a number of artificial neural networks corresponding to a total of 100*10* (grouping numbers of regions).
- the grouping of cities may be made on a country-by-country basis. In another example, the grouping may be performed in units of a predetermined number of neighboring cities within the same country.
- the battery service server 30 trains the artificial neural network 100
- the model of the electric vehicle 50 and/or the battery 51 model among the training data stored in the diagnostic analysis data storage unit 62 is the same and Extracts only training data having the same variation (cities) of frequency distribution data for the driving region, and uses the artificial neural network 100 dedicated to the driving region and/or the model of the electric vehicle 50 and/or the battery 51 model.
- the battery service server 30 performs the learning of the artificial neural network 100 when the amount of new learning data in the operating area and/or the model of the electric vehicle 50 and/or the battery 51 model increases by more than the reference value. By restarting, the accuracy of the artificial neural network 100 may be further improved.
- the artificial intelligence model is not limited to the artificial neural network. Accordingly, in addition to the artificial neural network, a Gaussian process model or the like may be used.
- SVM Small Vector Machine
- K-Nearest Neighbor Algorithm K-Nearest Neighbor Algorithm
- Naive-Bayes Classifier etc.
- K-Means Clustering etc. can be used as an auxiliary means to obtain the degree of regression learning information.
- the battery service server 30 may include an auxiliary artificial neural network learned using the cycle-by-cycle operation characteristic accumulation information and cycle-by-cycle operation characteristic profile information provided from the battery manufacturer.
- FIG. 10 is a diagram exemplarily showing the structure of the auxiliary artificial neural network 100' according to an embodiment of the present invention.
- the auxiliary artificial neural network 100 ′ includes an input layer 101 ′, a plurality of hidden layers 102 ′, and an output layer 103 ′.
- the auxiliary artificial neural network 100 ′ is the artificial neural network 100 shown in FIG. 9 and Practically the same.
- the auxiliary artificial neural network 100 ′ may be utilized to determine the degree of degradation of the battery 51 when the artificial neural network 100 is not sufficiently learned.
- the battery service server 30 may be connected to enable communication with the battery data providing server 70 through the network 40 to collect data used for learning of the auxiliary artificial neural network 100 ′.
- the battery data providing server 70 may be installed in a battery manufacturer.
- the battery data providing server 70 obtains cycle-by-cycle operation characteristic accumulation information, cycle-by-cycle operation characteristic profile information, and degradation degree of the battery 51 for each cycle obtained from a charge/discharge cycle experiment on the battery 51 mounted in the electric vehicle 50 . may be transmitted to the battery service server 30 through the network 40 together with the model code and identification code of the battery 51 .
- the charging/discharging cycle experiment is an experiment in which charging and discharging are repeated a predetermined number of times for the battery 51 under various charging/discharging conditions using a device called a charging/discharging simulator.
- the charge/discharge cycle experiment is an experiment performed by a battery manufacturer before the battery 51 is commercialized.
- the charging/discharging conditions preferably simulate various operating conditions (mountain driving, rough road driving, city driving, highway driving, etc.) and climatic conditions (temperature, humidity, etc.) of the electric vehicle 50 .
- the charging/discharging simulator is an automated experimental equipment in which a control computer, a charging/discharging device, and a temperature/humidity control chamber are combined.
- the charging/discharging simulator generates operational characteristic accumulation information by accumulating the cumulative operating time for each voltage section and/or the cumulative operating time for each current section and/or the cumulative operating time for each temperature section whenever charging and discharging of each cycle is performed, and charging During this process, by measuring or predicting SOC and/or voltage and/or current and/or temperature, operating characteristic profile information may be generated and recorded in the storage means.
- the charging/discharging simulator may determine the degree of degradation of the battery 51 based on the charging completion time.
- the degree of degradation can be calculated from the amount of change in the charging capacity determined by the ampere counting method in a predetermined charging voltage section or the internal resistance of the battery obtained through linear regression analysis of voltage and current data measured in the predetermined charging voltage section. has already been described above.
- the battery data providing server 70 may include a database 71 for storing data obtained through a charge/discharge cycle experiment.
- the battery data providing server 70 obtains the battery 51's model code and / Alternatively, it may be stored in the database 71 by matching the identification code.
- the battery data providing server 70 periodically transmits the auxiliary learning data including the cycle-by-cycle operation characteristic accumulation information, the cycle-by-cycle operation characteristic profile information, and the cycle-by-cycle degradation degree stored in the database 71 to the identification code of the battery 51 and / Alternatively, it may be transmitted to the battery service server 30 through the network 40 together with the model code.
- the number of auxiliary learning data corresponds to the number of times the charge/discharge cycle experiment is performed. For example, if a charge/discharge cycle experiment for a battery of a specific model is performed 200 times, the number of auxiliary training data is 200.
- the battery service server 30 matches the auxiliary learning data transmitted from the battery data providing server 17 with the identification code and/or model code of the battery 51 to the diagnostic analysis data storage unit 62 of the database 60 . can be recorded
- information on the cumulative operating time for each voltage section and/or the cumulative operating time for each current section and/or the cumulative operating time for each temperature section included in the operating characteristic cumulative information is converted into frequency distribution data and converted into a database It may be stored in the diagnostic analysis data storage unit 62 of (60).
- the battery service server 30 may train the auxiliary artificial neural network 100 ′ for each battery model by using the auxiliary learning data.
- the structure of the auxiliary artificial neural network 100 ′ is similar to that of the artificial neural network 100 shown in FIG. 9 . The difference is that the node to which the frequency distribution data generated from the accumulated driving characteristic information of the electric vehicle 50 is input is deactivated. However, the learning method and other features of the auxiliary artificial neural network 100' are substantially the same as described above.
- the battery service server 30 includes an auxiliary artificial neural network 100 ′ learned by auxiliary learning data transmitted from the battery data providing server 70 , and an artificial neural network learned by learning data provided from a plurality of electric vehicle control devices 52 . (100) is used complementary to determine the degree of degradation of the battery 51, and according to the determined degree of degradation, a control factor used for charge/discharge control of the battery 51 is used in the control system 15 of the electric vehicle 50 can be provided as
- a weighted average of the degree of degradation determined through the artificial neural network 100 and the degree of degradation determined through the auxiliary artificial neural network 100 ′ may be determined as the degree of degradation of the battery 51 .
- the weight given to each degree of degradation may be adaptively adjusted according to the learning degree of the artificial neural network 100 .
- the weight for the degree of degradation determined through the artificial neural network 100 may be proportionally increased.
- the battery service server 30 transmits the update information of the charge/discharge control logic to the communication device 20 through the network 40 when the degradation degree of the battery 51 increases by more than a threshold, for example, when the SOH decreases by more than a threshold. can be transmitted
- the update information of the charge/discharge control logic corresponding to the degradation degree may be predefined for each model and/or battery model of the electric vehicle 50 and recorded in the database 60 .
- the communication device 20 when the communication device 20 receives the update information regarding the charge/discharge control logic from the battery service server 30 , it transmits the update information of the charge/discharge control logic to the electric vehicle control device 52 of the electric vehicle 50 . Then, the electric vehicle control device 52 may update the factors referenced by the existing control logic with reference to the update information of the charge/discharge control logic.
- the update information of the charging/discharging control logic is the size of the charging current applied to each charging state section, the charging upper limit voltage value, the discharging lower limit voltage value, the maximum charging current, the maximum discharging current, the minimum charging current, the minimum discharging current, the maximum It may include at least one selected from a temperature, a minimum temperature, a power map for each state of charge, and an internal resistance map for each state of charge.
- the update information of the charge/discharge control logic includes the upper limit of the pulse current duty ratio, the lower limit of the pulse current duty ratio, the upper limit of the pulse current duration, the lower limit of the pulse current duration, and the pulse current It may include at least one selected from the maximum value of and the minimum value of the pulse current.
- the update information of the charging/discharging control logic may include information on the size of the charging current applied to each charging state section.
- the update information of the charge/discharge control logic is the current magnitude in the constant current charging (CC) mode
- the constant current charging (CC) mode may include at least one selected from a cut-off voltage at which ? and a voltage level in a constant voltage charging (CV) mode.
- the battery service server 30 uses the identification code of the battery 51 mounted in the electric vehicle 50 and the battery performance management service through a user interface provided through the electric vehicle control device 52 . You can receive application information.
- the battery performance management service means that the electric vehicle control device 52 transmits the diagnostic and analysis data of the battery 51 to the battery service server 30 , and the battery service server 30 transmits the control logic of the battery 51 . It refers to a service that is provided with updated information on a regular or irregular basis.
- the user interface is a graphic user interface and may be provided through the integrated information display 53 of the electric vehicle 50 .
- the integrated information display 53 is provided next to the driver's seat in the electric vehicle 50 , and is a computer display that manages the control of the electric vehicle 50 and displays various driving information of the electric vehicle 50 .
- the electric vehicle control device 52 may provide various user interfaces necessary for implementing the present invention through the integrated information display 53 .
- the battery performance management service may be provided free of charge or charged.
- the battery service server 30 When the battery service server 30 receives application information related to the battery performance management service through the network 40, whenever diagnostic analysis data for the battery 51 is collected, the current integration method, voltage/current data Using linear regression analysis, extended Kalman filter, or pre-trained artificial intelligence model to determine the degree of degradation, determine whether the charge/discharge control logic needs to be updated, and if update is required, update information on the charge/discharge control logic is generated. It may be configured to provide to the electric vehicle control device 52 .
- the battery service server 30 may set and store a service use flag for the battery 51 for which the battery performance management service is requested in the battery identification information storage unit 61 . That is, for a battery for which a battery performance management service has been applied, a service use flag may be set after searching for a battery identification code.
- the battery service server 30 may be configured to further receive payment information in the receiving step of the use application information for the battery performance management service, and to charge for generation and provision of update information of the charge/discharge control logic.
- Billing is possible in any form, such as regular billing or billing for a specific period (month, quarter, year, etc.).
- the billing method may be a credit card, electronic money, virtual currency (Bitcoin, Ethereum), and the like.
- the battery service server 30 may record the charging information for the battery performance management service together with the identification code (ID) and/or the battery identification code of the electric vehicle 50 user in the charging information storage unit 68 .
- the billing information may include an identification code (ID) of the electric vehicle 50 user, a battery identification code, a payment cycle, a payment amount, a payment period, payment method information, a payment date and time, and a billing success flag.
- the application for the battery performance management service is also possible on the user interface output from the mobile communication terminal 90 owned by the user of the electric vehicle 50 without using the electric vehicle control device 52 .
- the mobile communication terminal 90 is a smart phone
- the user interface is a graphic user interface provided by an application.
- the battery service server 30 may distribute an application that can be driven in the mobile communication terminal 90 , and the user may download the application through the network 40 and install it in his/her mobile communication terminal 90 .
- the application installed in the mobile communication terminal 90 is called battery management software.
- the user can apply for the battery performance management service after executing the battery management software in the mobile communication terminal 90 . At this time, it is obvious that the user can input payment information.
- the battery service server 30 may additionally provide other additional services together with the battery performance management service. Additional services may be provided as paid or free services.
- the battery service server 30 may calculate the remaining lifespan of the battery 51 with reference to the deterioration degree information on the battery 51 and output it graphically through the battery management software.
- the information on the remaining life may be output from the integrated information display 53 of the electric vehicle 50 through the electric vehicle control device 52 .
- the remaining lifespan can be calculated by referring to a lookup table in which the remaining lifespans are defined for each degree of degradation.
- the residual life lookup table may be defined for each electric vehicle 50 model and/or battery model and recorded in advance in the battery residual value storage unit 65 of the database 60 .
- the battery service server 30 calculates the residual value of the battery corresponding to the deterioration degree of the battery 51 with reference to the residual value lookup table in which the residual value is defined according to the deterioration degree of the battery 51 and runs the battery management software. It can be output graphically. Residual value refers to the relative value based on the market price of the battery. Residual value can be expressed as a percentage based on the battery's launch price. Information on the residual value may be output from the integrated information display 53 of the electric vehicle 50 through the electric vehicle control device 52 .
- the residual value lookup table may be predefined for each model and/or battery model of the electric vehicle 50 and recorded in the battery residual value storage unit 65 of the database 60 .
- the battery service server 30 analyzes the driving information of the electric vehicle 50 to calculate the remaining life of the battery on condition that the user's current driving habit is maintained, and the electric vehicle control device 52 through the network 40 can be sent to Then, the electric vehicle control device 52 may display the remaining life information of the battery through the integrated information display 53 of the electric vehicle 50 .
- the battery service server 30 may transmit the remaining life of the battery to battery management software running in the mobile communication terminal 90 . Then, the battery management software may output the remaining life information through the display of the mobile communication terminal 90 .
- the driving habit may be analyzed using a speed change profile according to the state of charge included in the diagnostic analysis data collected from the electric vehicle 50 .
- the battery service server 50 may accumulate and count the number of rapid accelerations by analyzing the speed change profile according to the charging state, and classify driving habits into a plurality of types according to the number of rapid accelerations. Whether or not to accelerate rapidly is determined based on a case in which the speed change compared to the change in the state of charge is greater than or equal to a threshold.
- the battery service server 30 may predefine the rate of increase in the degree of degradation according to the type of driving habit. That is, the battery service server 30 analyzes the driving information of the electric vehicle 50 recorded in the diagnostic analysis data storage unit 62 of the database 60 to calculate the cumulative number of rapid accelerations, (50) Determine the type of the user's driving habit, and determine an increase rate of a predefined degree of degradation corresponding to the type of driving habit. Then, the battery service server 30 increases the degree of degradation (that is, by reducing the SOH) according to the rate of increase of the degree of degradation determined according to the type of driving habit based on the current degree of degradation of the battery 51 (that is, by reducing the SOH).
- a period of time required for n to increase beyond the threshold may be determined as the remaining life of the battery.
- the battery service server 30 may determine the remaining battery life according to all driving habit types and transmit it to the battery management software driven in the electric vehicle control device 52 or the mobile communication terminal 90 .
- the electric vehicle control device 52 may display the remaining life information of the battery 51 predicted for each type of driving habit through the integrated information display 53 of the electric vehicle 50 .
- the battery management software may display information on the remaining life of the battery 51 predicted for each type of driving habit through the display of the mobile communication terminal 90 .
- the user of the electric vehicle 50 may be provided with remaining life information of the battery 51 estimated from the current driving habit as well as remaining life information of the battery 51 estimated from other driving habit types. Accordingly, it is possible to induce the user of the electric vehicle 50 to drive more economically.
- the rate of increase in the degree of degradation according to the type of driving habit may be predefined for each battery model and recorded in the database 60 .
- the battery 51 included in the electric vehicle 50 may be leased.
- the rental billing server operated by the battery rental company may be connected to the battery service server 30 as an embodiment of the external server 80 to enable communication through the network 40 .
- the external server 80 may receive a battery rental service application from a user of the electric vehicle 50 through the network 40 .
- Rental service application information includes the user identification code (ID) of the electric vehicle 50, the model code of the electric vehicle 50 and the battery 51, the identification code of the electric vehicle 50 and the battery 51, and the rental time of the battery 51 , rental usage fees, payment information, and the like.
- the battery rental service application may be performed at the purchase stage of the electric vehicle 50 , and may proceed when the battery of the electric vehicle 50 is replaced.
- the battery rental service application can also convert the usage form of the battery 51 to rental while using the electric vehicle 50 .
- the regular usage fee according to the rental of the battery 51 may be deducted from the battery price paid at the time of purchase of the new car, and when the rental usage time is over, the user of the electric vehicle 50 refunds the cost corresponding to the residual value of the battery It can be paid as an initial deposit when receiving or renting a new battery.
- the external server 80 (rental billing server) transmits the battery identification code for which the rental service application is made to the battery service server 30 through the network 40 .
- the external server 80 (a rental billing server) may transmit a battery model code, an electric vehicle identification code, payment information, etc. together with a battery identification code to the battery service server 30 .
- the battery service server 30 records the battery identification code for which the rental service is applied in the battery identification information storage unit 61 of the database 60 and sets a rental flag indicating the rental status at the same time. If the battery identification code is already registered in the database 60, only the rental flag setting step may be performed. It is self-evident that various pieces of information including payment information received when applying for a battery rental service may be recorded in the database 60, maintained and updated.
- the battery service server 30 When the battery 51 mounted in the electric vehicle 50 is a rental battery, the battery service server 30 provides information on the accumulated charge/discharge amount of the battery together with the diagnostic analysis data of the battery 51 from the electric vehicle control device 52 . may be further collected and recorded in the accumulated charge/discharge amount storage unit 63 of the database 60 .
- the battery service server 30 calculates the usage fee of the battery 51 according to the accumulated charge/discharge amount and the deterioration degree change amount of the battery 51 included in the electric vehicle 50, and the electric vehicle control device 52 or the user's It can be transmitted to the battery management software running in the mobile communication terminal (90). Then, the electric vehicle control device 52 may display information about the usage charge of the battery 51 through the integrated information display 53 of the electric vehicle 50 . In addition, the battery management software may display information about the usage charge of the battery 51 through the display of the mobile communication terminal 90 .
- the usage fee for rental batteries is calculated by multiplying the accumulated charge/discharge amount corresponding to the billing period by the cost per 1Kw, and calculates the usage charge first, and adds the additional cost according to the degree of deterioration during the billing period to the first calculated cost. method can be determined.
- An additional cost according to the increase in degradation may be preset for each battery model. The additional cost is taken into account because the residual value of the battery decreases according to the depreciation triangle as the degree of degradation increases (ie, as the SOH decreases).
- Battery service server 30 regularly, for example, after determining the usage fee of the battery 51 on the last day of each month, the battery usage fee for the month together with the battery identification code for each battery 51 for which the rental service is applied.
- the information may be recorded in the battery charge storage unit 66 of the database 60 .
- the battery rental company's external server (80, rental billing server) periodically accesses the battery service server 30 through the network 40, receives the usage fee information for the battery 51 for which the rental service is applied, and then pays The request message may be transmitted to the electric vehicle control device 52 of the electric vehicle 50 or the battery management software of the mobile communication terminal 90 . Then, the electric vehicle control device 52 may output a payment request screen through the integrated information display 53 of the electric vehicle 50 to request payment from the user. Similarly, the battery management software may output a payment request screen through the display of the mobile communication terminal 90 to request payment from the user. Payment of the usage fee of the battery 51 may be made by a known payment method known in the art, such as credit card payment, account transfer payment, electronic money payment, virtual currency payment, and the like. If the user registers payment method information in advance, payment for the usage fee may be automatically performed.
- the external server 80 (rental billing server) transmits a payment completion flag to the battery service server 30 through the network 40 when the user completes the payment. Then, the battery service server 30 initializes the usage fee for the battery 51 for which the usage fee payment has been completed to 0.
- the insurance company server of the insurance company may access the battery service server 30 as another embodiment of the external server 80 .
- the external server 80 (insurance company server) is a server accessed when a user of the electric vehicle 50 wants to purchase insurance for the electric vehicle 50 .
- the external server 80 (insurance company server) is the user of the battery management software driven in the mobile communication terminal 90 or through the user interface provided by the electric vehicle control device 52 through the integrated information display 53 of the electric vehicle 50 . It can be accessed through an interface.
- the external server 80 (insurance company server) may be accessed by the user of the electric vehicle 50 using a browser installed in the computer or mobile communication terminal 90 .
- the external server 80 may receive an electric vehicle identification code (vehicle unique number) when receiving an insurance subscription application from the user of the electric vehicle 50 . Then, the external server 80 (insurance company server) transmits the electric vehicle identification code to the battery service server 30 through the network 40 . Then, the battery service server 30 reads the battery identification code stored by matching the electric vehicle identification code with reference to the battery identification information storage unit 61 of the database 60, and the battery residual value storage unit ( 65), the residual value matching the battery identification code may be mapped, and the mapped battery residual value information may be transmitted to the external server 80 (insurance company server) through the network 40 .
- an electric vehicle identification code vehicle unique number
- the battery service server 30 may charge the external server 80 (insurance company server) for inquiring the battery residual value information. Accordingly, it may be configured to store the identification code of the insurance company requesting the battery residual value information and the charging information for providing the residual value information in the charging information storage unit 68 of the database 60 .
- the external server 80 calculates the residual value of the electric vehicle 50 excluding the battery 51 after receiving the information on the battery residual value from the battery service server 30 .
- the residual value of the electric vehicle 50 may be determined in consideration of the degree of deterioration and the period of use.
- the external server 80 calculates the total price of the electric vehicle 50 by summing the residual value of the battery and the residual value of the electric vehicle 50, and calculates the insurance amount calculated from the calculated price to form the network 40 ) through the electric vehicle control device 52 of the electric vehicle 50 or the battery management software driven in the mobile communication terminal 90 can be transmitted.
- the electric vehicle control device 52 may display information regarding the property compensation insurance through the integrated information display 53 of the electric vehicle 50 .
- the battery management software may display information about the property compensation insurance through the display of the mobile communication terminal 90 .
- the user may transmit the automobile insurance subscription application information to the external server 80 (insurance company server) side. .
- the subscription application information may include the vehicle number of the electric vehicle 50, the model and year of the electric vehicle 50, the user's name, resident number, address, contact information (phone number, e-mail, etc.), payment method, payment information, etc. .
- the external server 80 (insurance company server) provides a discount event for insurance premiums on the premise of subscribing to the battery performance management service provided by the battery service server 30 when the user of the electric vehicle 50 wants to subscribe to car insurance. can do.
- the e-commerce server of the electric vehicle used trading company may access the battery service server 30 through the network 40 as another embodiment of the external server 80 .
- the external server 80 e-commerce server
- the external server 80 may receive an electric vehicle identification code (vehicle identification number) from the user while the user of the electric vehicle 50 registers the electric vehicle 50 as a sale item.
- the external server 80 uses a user interface provided by the electric vehicle control device 52 through the integrated information display 53 of the electric vehicle 50 or battery management software driven in the mobile communication terminal 90 . can be accessed using
- the external server 80 (e-commerce server) may be accessed by the user of the electric vehicle 50 using a browser installed in the computer or mobile communication terminal 90 .
- the external server 80 may receive an electric vehicle identification code (vehicle identification number) together when receiving a sales application for the electric vehicle 50 from the user of the electric vehicle 50 . Then, the external server 80 (e-commerce server) transmits the electric vehicle identification code to the battery service server 30 through the network 40 . Then, the battery service server 30 reads the battery identification code stored by matching the electric vehicle identification code with reference to the battery identification information storage unit 61 of the database 60, and the battery residual value storage unit ( 65), the residual value matching the battery identification code may be mapped, and the mapped battery residual value information may be transmitted to the external server 80 (e-commerce server) through the network 40 .
- an electric vehicle identification code vehicle identification number
- the battery service server 30 may charge the external server 80 (e-commerce server) for inquiring the battery residual value information. Accordingly, the battery service server 30 may be configured to store the identification code of the e-commerce company requesting the battery residual value information and the billing information for the residual value information provision in the billing information storage unit 68 of the database 60. .
- the external server 80 calculates the residual value of the electric vehicle 50 according to the usage period of the electric vehicle 50 after receiving the information on the battery residual value from the battery service server 30 .
- the external server 80 calculates the used price of the electric vehicle 50 by adding the residual value of the battery and the residual value of the electric vehicle 50, and uses the used price as the recommended selling price information of the electric vehicle 50. It is transmitted to the battery management software driven in the electric vehicle control device 52 or the mobile communication terminal 90 of the electric vehicle 50. Then, the electric vehicle control device 52 may output the recommended selling price information of the electric vehicle 50 through the integrated information display 53 of the electric vehicle 50 . Also, the battery management software may output recommended selling price information of the electric vehicle 50 through the display of the mobile communication terminal 90 .
- the user may transmit the used sale application information of the electric vehicle 50 to the external server 80 (e-commerce server) through the network 40 .
- the used sales application may be made through a user interface provided by the electric vehicle control device 52 through the integrated information display 53 of the electric vehicle 50 .
- the used sales application may be made through a user interface provided by the battery management software through the display of the mobile communication terminal 90 .
- the used sale application may be made through a web page provided by the external server 80 (e-commerce server) or a dedicated mobile application provided by the external server 80 (e-commerce server).
- the used sales application information may include the vehicle number of the electric vehicle 50, the model and year of the electric vehicle 50, the user's identification information (ID), contact information (phone number, e-mail, etc.), the sale price of the electric vehicle 50, etc. can
- the external server 80 (e-commerce server) connects to the battery service server 30 when the user of the electric vehicle 50 applies for sale of the electric vehicle 50 and the battery of the electric vehicle 50 applied for sale performs the same.
- the price of the electric vehicle 50 may be increased according to a predetermined ratio by inquiring whether the user is subscribed to the management service and the subscription period.
- the warranty authentication server of the battery guarantee company may access the battery service server 30 as another embodiment of the external server 80 .
- a warranty authentication server may be provided by a battery warranty company.
- the external server 80 (warranty authentication server) is a server to which the computer of the warranty authentication requester connects in the process of authenticating whether the battery 51 mounted in the electric vehicle 50 is guaranteed by the manufacturer in the maintenance process of the electric vehicle 50, etc. .
- the external server 80 (warranty authentication server) is a warranty authentication requester who wants to check whether the performance management of the battery mounted in the electric vehicle 50 (that is, the update of the charge/discharge control logic based on the battery deterioration diagnosis) is continuously performed.
- An electric vehicle identification code or a battery identification code printed on the surface of the battery 51 may be input from the terminal of .
- the authentication requester may be a mechanic of the electric vehicle 50 .
- the external server 80 (warranty authentication server) receives an electric vehicle identification code or battery identification code through the network 40 from the terminal of the warranty authentication requester.
- the external server 80 (warranty authentication server) transmits the electric vehicle identification code or battery identification code to the battery service server 30 through the network 40 .
- the battery service server 30 refers to the warranty flag storage unit 68 of the database 60 and identifies whether a warranty flag is set for the battery corresponding to the electric vehicle identification code or the battery identification code. If the guarantee flag is set, the battery service server 30 may transmit a warranty authentication success message to the external server 80 (warranty authentication server) through the network 40 . Accordingly, as the performance management of the battery 51 mounted in the electric vehicle 50 is continuously managed for a predetermined time, the requester for warranty certification can confirm that the corresponding battery 51 is a battery with guaranteed electrochemical performance and remaining life.
- the advertisement server of the advertisement company may connect to the battery service server 30 as another embodiment of the external server 80 .
- the external server 80 (advertising server) receives target advertisement information according to location from the advertiser computer and transmits it to the battery service server 30 through the network 40 .
- the target advertisement may preferably be a video advertisement.
- the battery service server 30 matches the target advertisement information with the location coordinates in the database 60 and stores it.
- the battery service server 30 may further collect movement path information of the electric vehicle 50 when collecting diagnostic analysis data from the electric vehicle control device 52 of the electric vehicle 50 . In this case, the battery service server 30 inquires whether target advertisement information corresponding to the location coordinates of the moving path of the electric vehicle 50 or a place adjacent thereto is recorded in the database 60 .
- the battery service server 30 reads the target advertisement information from the database 60 and the battery management software of the electric vehicle control device 52 or the mobile communication terminal 90 through the network 40 send to Then, the electric vehicle control device 52 may output a target advertisement (video) through the integrated information display 53 of the electric vehicle 50 . Also, the battery management software may output a target advertisement (video) through the display of the mobile communication terminal 90 .
- the target advertisement is preferably output while the electric vehicle 50 is being charged at the charging station or while the electric vehicle 50 is stopped. Accordingly, since a target advertisement matching the movement path of the electric vehicle 50 can be provided to the user of the electric vehicle 50 , there is an advantage in that the target advertising effect can be maximized.
- the present invention since it is possible to reliably evaluate the battery performance of an electric vehicle and optimize the charge/discharge control logic of the battery to match the performance of the battery, it is possible to extend the service life of the battery and increase safety.
- components named ' ⁇ server' should be understood as functionally distinct elements rather than physically separated elements. Accordingly, each component may be selectively integrated with other components, or each component may be divided into sub-components for efficient execution of control logic(s). However, it is apparent to those skilled in the art that even if the components are integrated or divided, if the same function can be recognized, the integrated or divided components should also be interpreted as being within the scope of the present invention.
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Abstract
Description
Claims (17)
- 전기차에 탑재된 배터리의 동작 특성 정보와 전기차의 운행 특성 정보를 수집하여 관리하는 전기차 제어 장치;네트워크를 통해 상기 전기차 제어 장치와 통신 가능하도록 연결된 배터리 서비스 서버; 및상기 배터리 서비스 서버가 접근 가능하도록 상기 배터리 서비스 서버와 연결된 데이터베이스를 포함하고,상기 배터리 서비스 서버는,상기 전기차 제어 장치로부터 상기 네트워크를 통해 배터리의 동작 특성 정보와 전기차의 운행 특성 정보를 포함하는 진단 분석 데이터를 수집하여 상기 데이터베이스에 저장하고,상기 진단 분석 데이터로부터 배터리의 퇴화도를 결정하고,(a) 상기 결정된 퇴화도에 따라 배터리의 충방전 제어 로직의 업데이트 정보를 생성하여 상기 전기차 제어 장치로 제공하거나,(b) 상기 결정된 퇴화도에 기초하여 배터리의 잔존 가치를 결정하거나,(c) 상기 결정된 퇴화도에 기초하여 배터리의 사용요금을 결정하거나,(d) 상기 배터리의 사용 요금 또는 잔존 가치를 외부 서버의 요청에 따라 외부 서버로 전송하거나,(e) 상기 충방전 제어 로직의 업데이트 정보에 따라 충방전 제어가 이루어지는 배터리에 대해 보증(warranty) 플래그를 설정하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 배터리 서비스 서버는 네트워크를 통해 상기 전기차 제어 장치로부터 전기차 모델코드, 전기차 식별코드, 배터리 모델코드 및 배터리 식별코드 중에서 선택된 적어도 하나 이상을 포함하는 식별정보를 수집하고, 진단 분석 데이터를 식별정보와 매칭시켜 데이터베이스에 저장하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 데이터베이스는 배터리 모델 및 퇴화도 별로 정의된 전압 프로파일 정보가 저장된 데이터 영역을 포함하고,상기 배터리 서비스 서버는, 상기 진단 분석 데이터가 수집된 배터리 모델과 대응되는 퇴화도별 전압 프로파일 정보를 참조하여 상기 진단 분석 데이터에 포함된 전압 프로파일과 유사도가 가장 높은 전압 프로파일을 식별하고, 식별된 전압 프로파일에 대응되는 퇴화도를 배터리의 퇴화도로서 결정하여 데이터베이스에 저장하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 충방전 제어 로직의 업데이트 정보는,충전상태 구간 별로 적용되는 충전전류 크기, 충전 상한 전압값, 방전 하한 전압값, 최대 충전전류, 최대 방전전류, 최소 충전전류, 최소 방전전류, 최대 온도, 최소 온도, 충전상태별 파워 맵, 및 충전상태 별 내부저항 맵 중에서 선택된 적어도 하나 이상을 포함하거나,배터리가 펄스 충방전되는 경우, 펄스 전류 듀티비의 상한, 펄스 전류 듀티비의 하한, 펄스 전류 듀레이션의 상한, 펄스 전류 듀레이션의 하한, 펄스 전류의 최대값 및 펄스 전류의 최소값 중에서 선택된 적어도 하나 이상을 포함하거나,배터리가 스텝 충전되는 경우, 충전상태 구간 별로 적용되는 충전전류 크기를 포함하거나,배터리가 CC/CV 모드로 충전되는 경우, 정전류 충전 (CC) 모드에서의 전류 크기, 정전류 충전(CC) 모드가 종료되는 컷오프 전압 및 정전압 충전(CV) 모드에서의 전압 크기 중에서 선택된 적어도 하나를 포함하는 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 배터리 서비스 서버는, 상기 전기차 제어 장치로부터 수집된 진단 분석 데이터를 실시간으로 분석하여 배터리의 퇴화도를 결정하고, 결정된 퇴화도를 배터리 식별코드와 매칭시켜 데이터베이스에 저장하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 배터리 서비스 서버는, 상기 데이터베이스에 빅데이터로서 저장된 다른 배터리들의 진단 분석 데이터와 퇴화도 정보를 이용하여 진단 분석 데이터와 퇴화도 사이의 상관 관계를 인공 지능 모델을 이용하여 학습하고, 학습된 인공 지능 모델을 이용하여 상기 전기차 제어 장치로부터 수집된 진단 분석 데이터로부터 배터리의 퇴화도를 결정하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제6항에 있어서,상기 배터리 서비스 서버는, 모델이 동일한 다른 배터리들에 대해 수집된 진단 분석 데이터와 퇴화도 정보를 이용하여 인공 지능 모델을 학습하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 배터리 서비스 서버는, 전기차 제어 장치에 의해 전기차의 통합 정보 디스플레이 또는 사용자의 이동통신 단말기를 통해서 제공되는 사용자 인터페이스를 통해 전기차에 탑재된 배터리의 식별코드와 배터리 성능 관리 서비스에 관한 이용신청 정보를 수신하고,상기 이용신청 정보가 수신된 배터리에 대해서 상기 충방전 제어 로직의 업데이트 정보를 생성하여 상기 전기차 제어 장치로 제공하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제8항에 있어서,상기 배터리 서비스 서버는 상기 이용신청 정보의 수신 단계에서 결제 정보를 더 수신 받고, 상기 충방전 제어 로직의 업데이트 정보 생성과 제공에 대해서 과금을 하도록 구성된 것을 특징으로 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 배터리 서비스 서버는 배터리의 퇴화도에 따라 잔존 가치를 정의한 잔존 가치 룩업 테이블을 참조하여 상기 결정된 퇴화도에 대응되는 잔존 가치를 산출하여 상기 전기차 제어 장치와 연동된 전기차의 통합 정보 디스플레이 또는 사용자의 이동통신 단말기의 디스플레이를 통해 제공하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 배터리 서비스 서버는 상기 전기차 제어 장치로부터 상기 진단 분석 데이터와 함께 배터리의 누적 충방전 량을 추가로 더 입력 받고, 상기 누적 충방전 량과 상기 퇴화도에 따라 배터리의 사용 요금을 산출하여 상기 전기차 제어 장치와 연동된 전기차의 통합 정보 디스플레이 또는 사용자의 이동 통신 단말기의 디스플레이를 통해 제공하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 외부 서버는 보험회사의 보험사 서버이고,상기 배터리 서비스 서버는 네트워크를 통해 상기 보험사 서버로부터 배터리 식별코드를 수신 받고, 상기 데이터베이스를 참조하여 상기 수신된 배터리 식별코드와 대응되는 배터리의 잔존가치 정보를 결정하고, 결정된 배터리의 잔존가치 정보를 상기 보험사 서버로 제공하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 외부 서버는 전기차 중고 거래 회사의 전자상거래 서버이고,상기 배터리 서비스 서버는 네트워크를 통해 상기 전자상거래 서버로부터 배터리 식별코드를 수신 받고, 상기 데이터베이스를 참조하여 상기 수신된 배터리 식별코드에 대응되는 배터리의 잔존가치 정보를 결정하고, 결정된 배터리의 잔존가치 정보를 상기 전자상거래 서버로 제공하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 외부 서버는 배터리에 대한 워런티 인증을 요청하는 배터리 보증 회사의 워런티 인증 서버이고,상기 배터리 서비스 서버는 네트워크를 통해 상기 워런티 인증 서버로부터 배터리 식별코드를 수신 받고, 상기 데이터베이스를 참조하여 상기 수신된 배터리 식별코드에 대응되는 보증 플래그가 데이타베이스에 존재하는지 결정하고, 상기 보증 플래그가 존재하면 상기 워런티 인증 서버로 워런티 인증 성공 메시지를 전송하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 배터리 서비스 서버는, 광고 서버로부터 위치 좌표에 따른 타겟 광고 정보를 수신하여 데이터베이스에 저장하고,상기 진단 분석 데이터를 상기 전기차 제어 장치로부터 수신하는 동안 전기차의 이동 경로에 대한 운행 정보를 더 수신하고, 전기차의 이동 경로에 매칭되는 타겟 광고 정보를 상기 데이터베이스로부터 조회하여 상기 전기차 제어 장치와 연동된 전기차의 통합 정보 디스플레이 또는 사용자의 이동통신 단말기의 디스플레이를 통해서 제공하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 제1항에 있어서,상기 배터리 서비스 서버는 전기차의 배터리가 충전 스테이션에서 충전되는 동안 상기 진단 분석 데이터를 충전 스테이션을 통해서 상기 전기차 제어 장치로부터 수집하거나, 전기차가 운행 중이거나 정차 중에 상기 전기차 제어 장치로부터 상기 진단 분석 데이터를 수집하도록 구성된 것을 특징으로 하는 배터리 서비스 제공 시스템.
- 전기차 제어 장치로부터 네트워크를 통해 배터리의 동작 특성 정보와 전기차의 운행 특성 정보를 포함하는 진단 분석 데이터를 수집하여 데이터베이스에 저장하는 단계;상기 진단 분석 데이터로부터 배터리의 퇴화도를 결정하는 단계; 및상기 결정된 퇴화도에 따라 배터리의 충방전 제어 로직의 업데이트 정보를 생성하여 상기 전기차 제어 장치로 제공하는 단계; 상기 결정된 퇴화도에 기초하여 배터리의 잔존 가치를 결정하는 단계; 상기 결정된 퇴화도에 기초하여 배터리의 사용요금을 결정하는 단계; 상기 배터리의 사용 요금 또는 잔존 가치를 외부 서버의 요청에 따라 외부 서버로 전송하는 단계; 및 상기 충방전 제어 로직의 업데이트 정보에 따라 충방전 제어가 이루어지는 배터리에 대해 보증(warranty) 플래그를 설정하는 단계들로 이루어진 그룹으로부터 선택된 어느 하나의 단계를 포함하는 배터리 서비스 제공 방법.
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KR20210149626A (ko) | 2021-12-09 |
JP2024001341A (ja) | 2024-01-09 |
US20230182575A1 (en) | 2023-06-15 |
JP2023501318A (ja) | 2023-01-18 |
JP7381742B2 (ja) | 2023-11-15 |
CN114746892A (zh) | 2022-07-12 |
EP4060599A4 (en) | 2023-06-14 |
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