Battery service providing system and method

Abstract

The invention provides a battery service providing system and method. A battery service server in a system according to the present invention may be configured to: collect diagnostic analysis data including operating characteristic information of a battery and operating characteristic information of an electric vehicle from an electric vehicle control device; and providing update information of a charge and discharge control logic of the battery according to a degree of deterioration determined from the diagnostic analysis data to the electric vehicle control device, determining a battery surplus value or a battery use cost based on the determined degree of deterioration, the battery usage cost or the battery surplus value is transmitted to an external server, or a warranty flag is set for the battery performing charging and discharging according to the update information of the charging and discharging control logic.

Description

[0001] This application is a divisional application of the original application No. 202180006758.4 (International Application No. PCT / KR2021 / 006896, filed on June 2, 2021, entitled "Battery service providing system and method"). TECHNICAL FIELD

[0002] This application claims priority to Korean Patent Application No. 10-2020-0066164, filed on June 2, 2020, the disclosure of which is incorporated herein by reference.

[0003] The present disclosure relates to a battery service providing system and method, and more particularly, to a system and method in which a remote server collects data on operating information of a battery installed to an electric vehicle and can provide various services on the battery based on the collected big data. BACKGROUND

[0004] The use of batteries is rapidly expanding not only to mobile devices such as cellular phones, notebook computers, smart phones, and smart pads, but also to electric vehicles (EV, HEV, PHEV) and large-capacity energy storage systems (ESS).

[0005] A battery installed to 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.

[0006] A battery cell can include one unit cell or a plurality of unit cells connected in series and / or in parallel. A unit cell means one independent cell having a negative terminal and a positive terminal and being physically separable. For example, one pouch-type lithium polymer cell can be regarded as a unit cell.

[0007] In the case of a battery of an electric vehicle, the speed of performance deterioration varies depending on the driving habits of the driver or the driving environment. For example, if the electric vehicle is used in the case of frequent rapid acceleration or operated in a mountainous area, a desert area, or a cold area, the battery of the electric vehicle has a relatively fast deterioration speed due to use in harsh conditions.

[0008] The degree of deterioration of battery performance can be quantified as a factor called SOH (State of Health). SOH is a numerical value indicating the performance of a battery in an MOL (Middle of Life) state based on the relative ratio of the performance of the battery in a BOL (Beginning of Life) state.

[0009] The capacity and internal resistance of the battery are used as an index representing the performance of the battery. As the charge / discharge cycle of the battery increases, the capacity of the battery decreases and the internal resistance increases. Therefore, the SOH can be quantified by the rate of decrease in the capacity of the battery or the rate of increase in the internal resistance of the battery.

[0010] The degree of deterioration 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 battery deteriorates. If the SOH decreases below a certain level to reach the EOL (end of life), the performance of the battery has deteriorated beyond the limit, and thus the battery needs to be replaced.

[0011] The charge / discharge control logic of the battery must be set differently according to the performance deterioration to delay the deterioration speed of the battery as much as possible, thus extending the service life. For this purpose, it is necessary to monitor the performance change of a plurality of batteries belonging to the same model in a centralized manner and efficiently update various control logics for charging and discharging of the electric vehicle.

[0012] In addition, since the battery is the core component of the electric vehicle, the maintenance of the battery is the most important. Since the battery is an electrochemical device, it is necessary to accurately diagnose the current state and perform management accordingly. In addition, only when the user of the electric vehicle accurately knows the battery state, economic operation can be made. For example, if the SOH of the battery is low, it is desirable to delay the deterioration of the battery life through economic operation.

[0013] Since the price of the battery installed in the electric vehicle. The electric vehicle is more expensive than the vehicle running with fossil fuel. Therefore, in response to the surge of electric vehicles, the government provides a subsidy program to support a part of the price of the electric vehicle. However, in order to popularize the electric vehicle, it is necessary to further reduce the burden of purchasing the electric vehicle through a battery rental service or the like.

[0014] In addition, when the user of the electric vehicle purchases car insurance or wants to make a transaction of a second-hand electric vehicle, it is necessary to calculate the residual value of the electric vehicle. It is reasonable to evaluate the residual value of the electric vehicle differently depending on the state of the battery. Since the battery residual value depends on the charge / discharge history so far, a method of reasonably determining the battery residual value is required. SUMMARY

[0015] TECHNICAL PROBLEM

[0016] The present disclosure is designed to solve the problems of the related art, and thus the present disclosure relates to providing a big data-based battery service providing system and method that can receive data representing the operating characteristics of a battery installed to an electric vehicle from an electric vehicle control device installed to the electric vehicle in a centralized manner, diagnose the performance (e.g., the degree of deterioration) of the battery based on the collected data, and provide various additional services related to the battery according to the diagnosed performance.

[0017] TECHNICAL SOLUTION

[0018] In an aspect of the disclosure, there is provided a battery service providing system including: an electric vehicle control device configured to collect and manage operation characteristic information of a battery installed to an electric vehicle and travel characteristic information of the electric vehicle; a battery service server communicatively connected with the electric vehicle control device through a network; and a database connected to the battery service server so as to be accessed by the battery service server.

[0019] Preferably, the battery service server can be configured to: collect, from the electric vehicle control device through the network, diagnostic analysis data including the operation characteristic information of the battery and the travel characteristic information of the electric vehicle, and store the diagnostic analysis data in the database; determine a degree of deterioration of the battery from the diagnostic analysis data.

[0020] Preferably, the battery service server can be configured to: (a) generate update information of charge / discharge control logic of the battery according to the determined degree of deterioration, and provide the update information to the electric vehicle control device, (b) determine a residual value of the battery based on the determined degree of deterioration, (c) determine a usage fee of the battery according to the determined degree of deterioration, (d) transmit the usage fee or the residual value of the battery to an external server according to a request of the external server, or (e) set a warranty flag for a battery whose charge and discharge are controlled according to the update information of the charge / discharge control logic.

[0021] According to an embodiment, the battery service server can be configured to collect, from the electric vehicle control device through the network, 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, and store the diagnostic analysis data in the database in matching with the identification information.

[0022] In another embodiment, the database can include a data area in which voltage data profile information defined for each battery model and each degree of deterioration is stored, and the battery service server can be configured to identify a voltage data profile having the highest similarity to a voltage data profile included in the diagnostic analysis data by referring to voltage data profile information of each degree of deterioration corresponding to a battery model for which the diagnostic analysis data is collected, determine that a degree of deterioration corresponding to the identified voltage data profile is the degree of deterioration of the battery, and store the determined degree of deterioration in the database.

[0023] Preferably, the update information of the charge / discharge control logic can include at least one selected from a charge current magnitude applied for each SOC interval, a charge upper limit voltage value, a discharge lower limit voltage value, a maximum charge current, a maximum discharge current, a minimum charge current, a minimum discharge current, a maximum temperature, a minimum temperature, a power map for each SOC, and an internal resistance map for each SOC.

[0024] As another example, the update information of the charge / discharge control logic can include at least one selected from an upper limit of a pulse current duty cycle, a lower limit of the pulse current duty cycle, an upper limit of a pulse current duration, a lower limit of the pulse current duration, a maximum value of the pulse current, and a minimum value of the pulse current, in the case where the battery is pulse charged / discharged.

[0025] As still another example, the update information of the charge / discharge control logic can include a charge current magnitude applied for each SOC interval in the case where the battery is step charged.

[0026] As still another example, the update information of the charge / discharge control logic can include at least one selected from a current magnitude in a constant current charge (CC) mode, a cutoff voltage at the end of the constant current charge (CC) mode, and a voltage magnitude in a constant voltage charge (CV) mode.

[0027] According to another embodiment, the battery service server can be configured to determine a degree of deterioration of the battery by analyzing the diagnostic analysis data collected from the electric vehicle control device in real time, and store the determined degree of deterioration in the database in association with the battery identification code.

[0028] According to still another embodiment, the battery service server can be configured to train a correlation between the diagnostic analysis data and the degree of deterioration using diagnostic analysis data and deterioration information of other batteries stored as big data in the database by means of 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 by using the trained artificial intelligence model.

[0029] Preferably, the battery service server can be configured to train the artificial intelligence model by using the diagnostic analysis data and the deterioration information collected for other batteries of the same model.

[0030] According to an embodiment, the battery service server can be configured to receive an identification code of the battery installed to the electric vehicle and utilization application information of a battery performance management service through a user interface provided by the integrated information display of the electric vehicle or a mobile communication terminal of a user of the electric vehicle control device, and generate update information of the charge / discharge control logic for the battery for which the utilization application information is received and provide the update information to the electric vehicle control device.

[0031] Preferably, the battery service server can be configured to receive payment information as well as the utilization application information upon receiving the utilization application information, and charge for the generation and provision of the update information of the charge / discharge control logic.

[0032] According to another embodiment, the battery service server can be configured to calculate a residual value corresponding to the determined degree of deterioration by referring to a residual value look-up table defining a residual value according to the degree of deterioration of the battery, and provide the calculated residual value through a display of the integrated information display of the electric vehicle or a mobile communication terminal of a user coupled with the electric vehicle control device.

[0033] According to still another embodiment, the battery service server can be configured to receive the cumulative charge / discharge amount of the battery along with the diagnosis analysis data from the electric vehicle control device as well, calculate a usage fee of the battery according to the cumulative charge / discharge amount and the degree of deterioration, and provide the calculated usage fee through a display of the integrated information display of the electric vehicle or a mobile communication terminal of a user coupled with the electric vehicle control device.

[0034] In the present disclosure, the external server can be an insurance company server of an insurance company, and the battery service server can be configured to receive a battery identification code from the insurance company server through the network, determine residual value information of the battery corresponding to the received battery identification code by referring to the database, and provide the determined residual value information of the battery to the insurance company server.

[0035] According to another embodiment, the external server can be an e-commerce server of a second-hand electric vehicle trading company, and the battery service server can be configured to receive a battery identification code from the e-commerce server through the network, determine residual value information of the battery corresponding to the received battery identification code by referring to the database, and provide the determined residual value information of the battery to the e-commerce server.

[0036] According to still another embodiment, the external server can be a warranty certification server of a battery guarantee company requesting warranty certification of the battery, and the battery service server can be configured to receive a battery identification code from the warranty certification server through the network, determine whether a warranty flag corresponding to the received battery identification code exists in the database by referring to the database, and provide a warranty certification success message to the warranty certification server when the warranty flag exists.

[0037] According to still another embodiment, the battery service server can be configured to receive target advertisement information from an advertisement server according to location coordinates, and store the received target advertisement information in the database; and receive driving information related to a movement path of the electric vehicle while receiving the diagnostic analysis data from the electric vehicle control device, query target advertisement information matching the movement path of the electric vehicle from the database, and provide the queried target advertisement information through an integrated information display of the electric vehicle coupled with the electric vehicle control device or a display of a mobile communication terminal of a user.

[0038] Preferably, the battery service server can be configured to collect the diagnostic analysis data from the electric vehicle control device through a charging station while a battery of the electric vehicle is being charged at the charging station, or collect the diagnostic analysis data from the electric vehicle control device when the electric vehicle is running or stationary.

[0039] In another aspect of the present disclosure, a battery service providing method is also provided, including the steps of: collecting diagnostic analysis data including operation characteristic information of a battery and driving characteristic information of an electric vehicle from an electric vehicle control device through a network and storing the diagnostic analysis data in a database; determining a deterioration degree of the battery from the diagnostic analysis data; and selecting any one from a group consisting of: generating update information of a charge / discharge control logic of the battery according to the determined deterioration degree, and providing the update information to the electric vehicle control device; determining a residual value of the battery based on the determined deterioration degree; determining a usage fee of the battery based on the determined deterioration degree; transmitting the usage fee or the residual value of the battery to an external server according to a request of the external server; and setting a warranty flag for the battery whose charge and discharge are controlled according to the update information of the charge / discharge control logic.

[0040] Advantageous Effects

[0041] According to the present disclosure, it is possible to reliably evaluate the battery performance of an electric vehicle, and it is possible to optimize the charge / discharge control logic of the battery to match the performance of the battery, thereby not only prolonging the service life of the battery but also improving the safety of the battery use.

[0042] In addition, by providing reliable information on the remaining life of the battery to the user of the electric vehicle, it is possible to cause the battery to be replaced at an appropriate time, and it is also possible to enhance the reliability of the battery manufacturer.

[0043] In addition, by constructing a database related to the correlation data between the driving habits of the user of the electric vehicle and the remaining battery life, it is possible to use the database as accurate data for the premium calculation of a car insurance company.

[0044] In addition, by providing a method of reasonably determining the residual value of the battery of the electric vehicle, it is possible to activate the electric vehicle insurance market and the second-hand car trading market.

[0045] In addition, by providing a meter charge service that allows the use of the battery installed to the electric vehicle in a rental manner, it is possible to reduce the burden of purchasing the electric vehicle, thus promoting the rapid expansion of the electric vehicle market.

[0046] In addition, by periodically providing a performance guarantee service (warranty service) for the battery that has undergone performance management, it is possible to guarantee the reliability of the performance when the electric vehicle equipped with the corresponding battery is distributed or when the corresponding battery is reused.

[0047] In addition, by providing the user of the electric vehicle with target advertisement information that matches the moving path of the electric vehicle, it is possible to maximize the effect of the advertisement. BRIEF DESCRIPTION OF DRAWINGS

[0048] The accompanying drawings illustrate preferred embodiments of the present disclosure and, together with the above disclosure, serve to provide further understanding of the technical features of the present disclosure, and therefore the present disclosure is not to be construed as being limited to the accompanying drawings.

[0049] Figure 1 FIG. 1 is a block diagram illustrating the configuration of a battery service providing system according to an embodiment of the present disclosure.

[0050] Figure 2 FIG. 2 is a block diagram illustrating the configuration of a database according to an embodiment of the present disclosure.

[0051] Figures 3 to 5 FIG. 3 is a graph exemplarily illustrating frequency distribution data generated from the accumulated information on the operating characteristics of the battery of the electric vehicle according to an embodiment of the present disclosure.

[0052] Figures 6 to 8is a graph exemplarily showing frequency distribution data generated from the accumulated information of the running characteristics of an electric vehicle according to an embodiment of the present disclosure.

[0053] Figure 9 is a graph exemplarily showing the structure of an artificial neural network according to an embodiment of the present disclosure.

[0054] Figure 10 is a graph exemplarily showing the structure of an auxiliary neural network according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0055] Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. Before proceeding, it should be understood that the terms used in the specification and the appended claims should not be construed as limited to general and dictionary meanings and should be construed as having meanings and concepts corresponding to technical aspects of the present disclosure based on the principle that the inventor is able to define the terms, appropriately, so as to best describe the present disclosure. Therefore, the description presented herein is merely a preferred example for the purpose of illustrations only and is not intended to limit the scope of the present disclosure, so it should be understood that other equivalents and modifications could be derived from the description without departing from the scope of the present disclosure.

[0056] Figure 1 is a block diagram showing the configuration of a battery service providing system 10 according to an embodiment of the present disclosure.

[0057] Referring to Figure 1 , the battery service providing system 10 according to an embodiment of the present disclosure provides various services for a battery 51 installed to an electric vehicle 50.

[0058] The electric vehicle 50 includes an electric vehicle control device 52 that integrally controls charging and discharging of the battery 51 and operation of the electric vehicle 50.

[0059] The electric vehicle control device 52 is a computer device that controls charging / discharging operation of the battery 51 and measures voltage, current, and temperature of the battery 51 during charging / discharging of the battery 51 and records the same in a storage device 52a. The electric vehicle control device 52 can also perform control operation of mechanical and / or electronic mechanisms related to operation of the electric vehicle 50.

[0060] The storage device 52a is a non-transitory storage device and is a computer storage medium that can write and / or erase and / or modify and / or transfer data. The storage device 52a can be, for example, a flash memory, a hard disk, a solid state drive (SSD), or other types of hardware for data storage.

[0061] The electric vehicle control device 52 is a computer device installed to the electric vehicle 50, which is well known in the art and commercialized, and thus will not be described in detail here.

[0062] Preferably, the electric vehicle control device 52 transmits information and / or data to the battery service server 30 and receives information and / or data 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.

[0063] The type of the network 40 is not limited as long as the network 40 supports communication between the communication device 20 and the battery service server 30.

[0064] The network 40 includes a wired network, a wireless network, or a combination thereof. The wired network includes a local area network or a wide area network supporting TCP / IP protocol. The wireless network includes a base station-based wireless communication network, a satellite communication network, a local area wireless communication network such as Wi-Fi, or a combination thereof.

[0065] The network 40 can include, for example, a 2G (second generation) network to a 5G (fifth generation) network, an LTE (Long Term Evolution) network, a GSM (Global System for Mobile Communications) network, a CDMA (Code Division Multiple Access) network, an EVDO (Evolution-Data Optimized) network, a PLM (Public Land Mobile) network, and / or other networks.

[0066] As another example, the network 40 can include a LAN (Local Area Network), a WLAN (Wireless Local Area Network), a WAN (Wide Area Network), a MAN (Metropolitan Area Network), a PSTN (Public Switched Telephone Network), an Ad hoc network, a managed IP network, a VPN (Virtual Private Network), an intranet, the Internet, a fiber-optic based network, and / or a combination or other type of network thereof.

[0067] The communication device 20 is a communication unit that is a medium of data exchange between the electric vehicle control device 52 included in the electric vehicle and the battery service server 30.

[0068] In one example, the communication device 20 can be disposed inside the electric vehicle 50.

[0069] In another example, the communication device 20 can be disposed at a charging station (not shown) when the electric vehicle 50 is charged at the charging station. In this case, the communication device 20 and the electric vehicle control device 52 can transmit and receive data to each other through a data communication cable included in a standardized charging cable.

[0070] The communication device 20 is not particularly limited as long as it can transmit and receive data to and from the battery service server 30 through the network 40. For example, the communication device 20 can be a communication modem supporting a wired or wireless communication protocol known in the art.

[0071] As another example, the communication device 20 can be a separate module or a set-top box installed at a designated location. The designated location can be a charging station of the electric vehicle 50, a parking lot of a house where a user of the electric vehicle 50 resides, or a parking lot of a workplace where the user of the electric vehicle 50 works.

[0072] The electric vehicle control device 52 can collect the operation characteristic information of the battery 51 while the battery 51 is being charged or discharged, and record the operation characteristic information in the storage device 52a. The operation characteristic information can include at least one selected from a voltage, a current, and a temperature of the battery 51. The electric vehicle control device 52 can record the operation characteristic information of the battery 51 in the storage device 52a together with an SOC (state of charge) of the battery 51 and / or a time stamp.

[0073] The electric vehicle control device 52 can estimate the SOC of the battery 51 by using an ampere counting method, an OCV method, an extended Kalman filter, or the like known in the art. The electric vehicle control device 52 can be electrically coupled to a voltage sensor, a current sensor, and a temperature sensor installed to the battery 51 in order to collect the operation characteristic information of the battery 51.

[0074] Preferably, the voltage, the current, and the temperature of the battery 51 can be stored in the storage device 52a in the form of a data chart according to the SOC (state of charge) of the battery 51.

[0075] Here, the data chart is a data set representing changes in the voltage, the current, and the temperature according to the SOC of the battery 51. The data set can be represented by a multi-dimensional vector (SOC k , I k , V k , T k ). k is an index of a measurement time point of the operation characteristic. If the number of measurements is n, k is a natural number from 1 to n. The battery operation characteristic data chart can include a voltage data chart according to the SOC (SOC k , V k ), and can optionally include a current data chart according to the SOC (SOC k , I k ) and / or a temperature data chart according to the SOC (SOC k , T k ).

[0076] The electric vehicle control device 52 can record the running characteristic information of the electric vehicle 50 in the storage device 52a. The running characteristic information includes a speed variation data chart and a running distance cumulative data chart of the electric vehicle 50. Alternatively, the running characteristic information can also include coordinate data of a movement path of the electric vehicle 50. The speed variation data chart includes a set of speed data (SOC k , Velocity k, t k ) according to the SOC of the battery 51. Here, Velocity and t are the running speed and the time stamp of the electric vehicle 50, respectively. The running distance cumulative data chart includes a set of running distance cumulative data (Q k , d k , t k ) according to the cumulative discharge amount of the battery 51. Here, Q, d and t are the cumulative discharge amount, the cumulative running distance and the time stamp, respectively. Alternatively, the running characteristic information can include the running time of the electric vehicle 50 for each humidity interval.

[0077] Preferably, the electric vehicle control device 52 can also record the running characteristic information of the electric vehicle 50 together with the time stamp in the storage device 52a. The electric vehicle control device 52 can be electrically coupled to a speed sensor, a GPS sensor and a humidity sensor installed at the electric vehicle 50 so as to collect and store the running characteristic information.

[0078] Preferably, the battery service providing system 10 according to the embodiment of the present disclosure can include a database 60 connected to the battery service server 30 so as to be accessed by the battery service server 30.

[0079] Figure 2 is a block diagram showing the configuration of the database 60 according to the embodiment of the present disclosure.

[0080] Referring to Figure 2 , the database 60 can include a battery identification information storage unit 61. The battery identification information storage unit 61 is an information storage area for recording the battery model code, the battery identification code, the electric vehicle model code equipped with the battery, the electric vehicle identification code, the battery installation date, etc. The type of information recorded in the battery identification information storage unit 61 can be added or changed.

[0081] The database 60 can also include a diagnosis analysis data storage unit 62. The diagnosis analysis data storage unit 62 is an information storage area in which diagnosis analysis data collected from the electric vehicle control device 52 is recorded. An area for storing the diagnosis analysis data is allocated for each battery 51 assigned with a battery identification code. The type of information recorded in the diagnosis analysis data storage unit 62 can be added or changed.

[0082] In an example, the diagnosis analysis data includes at least one selected from a group consisting of a speed change data chart of the electric vehicle 50, a travel distance accumulation data chart, and a battery operation characteristic data chart. The battery operation characteristic data chart is the latest charge characteristic information, and includes a voltage, a current, and a temperature change data chart according to an SOC of the battery 51.

[0083] In another example, the diagnosis analysis data can include operation characteristic accumulation information of the battery 51, and can include at least one selected from a group consisting of an accumulated operation time for each voltage interval, an accumulated operation time for each current interval, and an accumulated operation time for each temperature interval of the battery 51 installed to the electric vehicle 50.

[0084] In yet another example, the diagnosis analysis data can include travel characteristic accumulation information of the electric vehicle 50, and can include at least one selected from a group consisting of an accumulated travel time for each speed interval, an accumulated travel time for each travel region, and an accumulated travel time for each humidity interval of the electric vehicle 50.

[0085] The database 60 further 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 about an accumulated charge / discharge amount accumulated by integrating a charge / discharge amount of the battery is recorded. An area in which the accumulated charge / discharge amount is stored is allocated for each battery 51 to which a battery identification code is assigned. The type of information recorded in the accumulated charge / discharge amount storage unit 63 can be added or changed.

[0086] The database 60 includes a deterioration lookup table storage unit 64. The deterioration lookup table storage unit 64 is an information storage area in which voltage data chart information according to an SOC is recorded for each degree of deterioration of the battery 51. An area in which the voltage data chart information for each degree of deterioration is stored is allocated to each battery to which the same battery model code is assigned. The deterioration lookup table storage unit 64 can be defined in advance using data provided by a battery manufacturer and stored in the database 60. The type of information recorded in the deterioration lookup table storage unit 64 can be added or changed.

[0087] The database 60 can further include a battery residual value storage unit 65. The battery residual value storage unit 65 is an information storage area in which a residual value of the battery 51 is stored. The residual value can be calculated for each battery to which a battery identification code is assigned. The residual value is determined by a degree of deterioration of the battery. For example, as the SOH is lower due to a large degree of deterioration, the residual value decreases. The correlation between the residual value and the degree of deterioration can be predefined by a function. The type of information recorded in the battery residual value storage unit 65 can be added or changed.

[0088] The database 60 can further include a battery use charge storage unit 66. The battery use charge storage unit 66 is an information storage area in which battery use charge information calculated based on the accumulated charge / discharge amount and the increase in the degree of deterioration of the battery 51 (decrease in SOH) is stored. The battery use charge is calculated after the battery to which the battery identification code is assigned is mounted to the electric vehicle 50. The battery use charge can be initialized to 0 if the user of the electric vehicle 50 pays the battery use charge. Preferably, the battery 51 for which the battery use charge is calculated is a battery that has been applied for the battery rental service as described later. Whether or not the battery rental has been applied for can be identified by providing a rental flag in the battery identification information storage unit 61. The type of information recorded in the battery use charge storage unit 66 can be added or changed.

[0089] The database 60 can further include a warranty flag storage unit 67. The warranty flag storage unit 67 is an information storage area in which a warranty flag assigned when a performance management service is periodically provided for the battery 51 mounted to the electric vehicle 50 within a predetermined time is stored. The type of information recorded in the warranty flag storage unit 67 can be added or changed.

[0090] The database 60 can further include a charge information storage unit 68. The charge information storage unit 68 is an information storage area in which information such as the identification code of the battery 51, the identification code (ID) of the user of the electric vehicle 50 in which the battery 51 is installed, the charge amount, the payment means, the payment date and time, and the like when various battery services according to the present disclosure for which a charge is required are provided is recorded. The type of information recorded in the charge information storage unit 68 can be added or changed.

[0091] When information and / or data is stored in the database 60, it is preferable that the information and / or data is stored in association with appropriate identification information. The identification information can include at least one selected from the group consisting of the electric vehicle model code, the electric vehicle identification code, the battery model code, the battery identification code, and the user identification code (ID).

[0092] In the present disclosure, preferably, the database 60 can be a relational database. In this case, each of the above-described storage units can be configured in the form of a table. Of course, it is not limited to configuring each storage unit as a typical file database. Thus, it is obvious that the database 60 can be constructed with any type of database known in the art such as a relational database and a file directory database. In addition, the storage units of the above examples 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.

[0093] Referring again to Figure 1While the electric vehicle 50 is being charged at the charging station, the battery service server 30 can collect, from the charging station through the network 40, diagnostic analysis data on the electric vehicle 50, and store the collected diagnostic analysis data in the database 60.

[0094] Here, the diagnostic analysis data can include a speed change data chart according to the SOC of the electric vehicle 51 and / or a travel distance cumulative data chart according to the cumulative discharge amount and / or a battery operation characteristic data chart according to the SOC. In addition, the diagnostic analysis data can 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. In addition, the diagnostic analysis data can optionally further include movement path information of the electric vehicle 50.

[0095] Optionally, the diagnostic analysis data can include operation characteristic cumulative information of the battery 51, and can include at least one selected from the group consisting of a cumulative operation time for each voltage interval, a cumulative operation time for each current interval, and a cumulative operation time for each temperature interval of the battery 51 of the electric vehicle 50.

[0096] Optionally, the diagnostic analysis data can include travel characteristic cumulative information of the electric vehicle 50, and can include at least one selected from the group consisting of a cumulative travel time for each speed interval, a cumulative travel time for each travel region, and a cumulative travel time for each humidity interval.

[0097] It is obvious that the diagnostic analysis data can further include other data sets indicating the electrochemical operation characteristics of the battery 51 as needed, and some of the above-mentioned data can be excluded according to the diagnostic analysis level.

[0098] As will be described later, at least some of the diagnostic analysis data can be used to train an artificial intelligence model.

[0099] In order to collect the diagnostic analysis data, the communication device 20 can be provided in the charging station, and the communication device 20 can transmit and receive data to and from the electric vehicle control device 52 inside the electric vehicle 50.

[0100] The voltage, current, and temperature information included in the diagnostic analysis data can be collected by the electric vehicle control device 52 while the battery 51 of the electric vehicle 50 is being charged at the charging station.

[0101] The charging station can exchange information and / or data by communicating with the electric vehicle control device 52 while the electric vehicle 50 is being charged. In one example, the communication is performed via a data communication line included in the charging cable. Alternatively, the communication is performed via wireless communication between the charging station and the electric vehicle 50. For this purpose, the charging station and the electric vehicle 50 can include short-range wireless communication devices.

[0102] The charging station can transmit information and / or data collected from the electric vehicle 50 to the battery service server 30 via the network 40 in accordance with a predefined communication protocol.

[0103] The electric vehicle control device 52 generates and records diagnostic analysis data in the storage device 52a while the electric vehicle 50 is running or while the electric vehicle 50 is being charged at the charging station. If there is a request from the charging station, the electric vehicle control device 52 reads the diagnostic analysis data recorded in the storage device 52a and transmits it to the communication device 20 included in the charging station via the data communication cable of the charging cable or through short-range wireless communication.

[0104] In another example, the battery service server 30 can collect diagnostic analysis data on the battery 51 of the electric vehicle 50 from the communication device 20 included in the electric vehicle 50 via the network 40 while the electric vehicle 50 is running and store it in the database 60. If there is a request to transmit diagnostic analysis data from the battery service server 30 via the communication device 20, the electric vehicle control device 52 can read the diagnostic analysis data recorded in the storage device 52a and transmit it to the battery service server 30 via the communication device 20.

[0105] In yet another example, the battery service server 30 can collect diagnostic analysis data on the battery 51 of the electric vehicle 50 from the communication device 20 separately installed at the parking site via the network 40 when the electric vehicle 50 is parked and store it in the database 60. If there is a request to transmit diagnostic analysis data from the battery service server 30 via the communication device 20 separately installed outside the electric vehicle 50, the electric vehicle control device 52 can read the diagnostic analysis data recorded in the storage device 52a and transmit it to the battery service server 30 via the communication device 20.

[0106] According to the embodiment, the battery service server 30 can analyze the cumulative operation time of each voltage interval of the battery 51, the cumulative operation time of each current interval, and the cumulative operation time of each temperature interval included in the diagnosis analysis data to generate frequency distribution data for each voltage, current, and temperature, and then record it in the diagnosis analysis data storage unit 62 of the database 60 in matching 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.

[0107] According to the embodiment, in the frequency distribution data, the variable can be the voltage, the current, or the temperature of the battery 51, and the frequency can be the cumulative operation time of the battery 51 in each variable.

[0108] Figure 3 is a graph showing an example of frequency distribution data of the voltage of the battery 51, Figure 4 is a graph showing an example of frequency distribution data of the current of the battery 51, and Figure 5 is a graph showing an example of frequency distribution data of the temperature of the battery 51.

[0109] Referring to Figures 3 to 5 , the frequency distribution data can provide the cumulative operation time of the battery 51 in each voltage interval, the cumulative operation time of the battery 51 in each current interval, and the cumulative operation time of the battery 51 in each temperature interval when the electric vehicle 50 is running. The frequency distribution data can be used by the battery service server 30 to train an artificial intelligence model. This will be described later.

[0110] According to another embodiment, the battery service server 30 can analyze the cumulative travel time of each speed interval of the electric vehicle 50 and / or the cumulative travel time of each travel area and / or the cumulative travel time of each humidity interval included in the diagnosis analysis data to generate frequency distribution data related to the travel characteristics of the electric vehicle 50, and then record it in the diagnosis analysis data storage unit 62 of the database 60 in matching 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.

[0111] In the frequency distribution data of the travel characteristics, the variable is the speed of the electric vehicle 50, the travel area of the electric vehicle 50, or the humidity of the area where the electric vehicle 50 travels, and the frequency can be the cumulative travel time of the electric vehicle 50 in each variable.

[0112] Figure 6 is a graph showing an example of frequency distribution data of the speed of the electric vehicle 50, Figure 7 is a graph showing an example of frequency distribution data of the travel area of the electric vehicle 50, andFigure 8 is a graph showing an example of frequency distribution data of humidity of an area in which the electric vehicle 50 is running.

[0113] Referring to Figures 6 to 8 , the frequency distribution data can provide information about a cumulative travel time for each speed interval of the electric vehicle 50 while the electric vehicle 50 is running, a cumulative travel time for each travel area, and a cumulative travel time for each humidity interval. The area can be a domestic and / or foreign administrative district. As an example, the area can be a city, but the present disclosure is not limited thereto. The frequency distribution data can be used by the battery service server 30 to train an artificial intelligence model. This will be described later.

[0114] According to another embodiment, when a predetermined condition is satisfied, the battery service server 30 can determine a degree of deterioration of the battery 51 by using the operation characteristic data graph of the battery 51 included in the diagnosis analysis data, and record the degree of deterioration in the diagnosis analysis data storage unit 62 of the database 60 in matching with a model code of the electric vehicle 50 and / or an identification code of the electric vehicle 50 and / or a model code of the battery 51 and / or an identification code of the battery 51. As will be described later, the degree of deterioration stored in the diagnosis analysis data storage unit 62 can be used to train an artificial intelligence model.

[0115] In an example, the battery service server 30 determines whether the operation characteristic data graph of the battery 51 is collected in a preset deterioration estimation voltage interval. For this purpose, the battery service server 30 can check a voltage distribution of the voltage data graph according to a change in SOC. If it is determined as "Yes", the battery service server 30 can determine a charge capacity variation amount by integrating the current data measured in the deterioration estimation voltage interval, and determine a ratio of the charge capacity variation amount to a reference charge capacity variation amount as a degree of deterioration. The reference charge capacity variation amount is a charge capacity variation amount when the battery 51 in a BOL state is being charged, which is represented in the deterioration estimation voltage interval, and the reference charge capacity variation amount can be recorded in the database 60 in advance for each model of the battery 51.

[0116] In another example, the battery service server 30 analyzes the operation characteristic data graph (SOC k , V k , I k , T k ) of the battery 51 included in the diagnosis analysis data to determine whether the battery 51 is charged within a preset deterioration estimation voltage interval and whether a plurality of voltage data is measured under a variable charge current condition. For this purpose, the battery service server 30 can check the voltage data V k and the current data I kIf it is determined to be "Yes", the battery service server 30 can perform a linear regression analysis on a plurality of current and voltage data measured within the preset deterioration estimation voltage interval to determine an average value of |dV / dI| as an internal resistance value of the battery 51, and determine a ratio of a reference internal resistance value to the internal resistance value as a degree of deterioration of the battery 51. For application of this embodiment, the charging station can apply charging pulses having different AC charging currents and / or amplitudes to the battery 51 while the battery 5 is being charged within the preset deterioration estimation voltage interval. Then, a plurality of voltage data can be measured under the variable charging current condition. The reference internal resistance value is an internal resistance value of the battery 51 in a BOL state, and for each battery model, the reference internal resistance value can be recorded in advance in the database 60.

[0117] In yet another example, the battery service server 30 can determine the degree of deterioration of the battery 51 in real time by using an extended Kalman filter. A method of determining a degree of deterioration using an extended Kalman filter is disclosed in Korean Unexamined Patent Application No. 2007-0074621, the disclosure of which is incorporated herein by reference. The disclosed method is a method of determining a degree of deterioration in real time from voltage, current, and temperature of a battery using an extended Kalman filter as one of adaptive algorithms and is particularly useful when applied to the present disclosure.

[0118] Preferably, the battery service server 30 can determine the degree of deterioration of the battery 51 of the electric vehicle 50 based on big data by using the diagnostic analysis data and the operating characteristic data chart of the battery 51 included in the deterioration lookup table storage unit 64 of the database 60.

[0119] That is, the battery service server 30 identifies the battery model by searching the battery identification information storage unit 61 using the battery identification code included in the diagnostic analysis data. Then, the battery service server 30 can identify a voltage data chart having the highest similarity to the voltage data chart included in the diagnostic analysis data by referring to the voltage data chart information of each SOH corresponding to the same model in the deterioration lookup table storage unit 64, and determine a degree of deterioration corresponding to the identified voltage data chart as the degree of deterioration of the battery 51.

[0120] In yet another embodiment, the battery service server 30 can determine the degree of deterioration of the battery 51 by using an artificial intelligence model.

[0121] In this case, the degree of deterioration determined from the operating characteristic data chart of the battery 51 as described above constitutes a part of big data for training the artificial intelligence model, and the actual degree of deterioration of the battery 51 can be determined by the artificial intelligence model trained based on the big data.

[0122] The reason is that the SOH calculated from the latest operation characteristic data chart of the battery 51 has such a limitation that it can be determined only when a predetermined condition is satisfied and the past use history of the battery 51 and the travel history of the electric vehicle 50 are not sufficiently considered, and thus the degree of deterioration determined based on the artificial intelligence model trained based on big data has higher accuracy and reliability.

[0123] Preferably, the artificial intelligence model is a software algorithm coded in a programming language, and can be an artificial neural network. However, the present disclosure is not limited thereto.

[0124] Figure 9 is an exemplary diagram showing the structure of an artificial neural network 100 according to an embodiment of the present disclosure.

[0125] Referring to Figure 9 , 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.

[0126] When the battery service server 30 trains the artificial neural network 100 or determines the degree of deterioration of the battery 51 by using the artificial neural network 100, frequency distribution data generated from the operation characteristic accumulation information of the battery 51 (S1), Figures 3 to 5 ), frequency distribution data generated from the travel characteristic accumulation information of the electric vehicle 50 (S2), Figures 6 to 8 ), and data included in the operation characteristic data chart of the battery 51 can be input to the input layer 101.

[0127] The operation characteristic accumulation information input (assigned) to the nodes of the input layer 101 can include a first cumulative time value for each voltage interval and / or a second cumulative time value for each current interval and / or a third cumulative time value for each temperature interval. Preferably, the first to third cumulative time values are normalized as a ratio based on the total available time corresponding to the guaranteed life of the battery 51. In an example, if the cumulative time value in a specific voltage interval is 1,000 hours and the total available time is 20,000 hours, the normalized cumulative time value is 1 / 20 (0.05).

[0128] The number of first cumulative time values can correspond to the number of voltage intervals, the number of second cumulative time values can correspond to the number of current intervals, and the number of third cumulative time values can correspond to the number of temperature intervals. For example, if the number of voltage intervals is 5, the number of current intervals is 9, and the number of temperature intervals is 10, the number of first to third cumulative time values is 5, 9, and 10, respectively.

[0129] Preferably, the input layer 101 can include a plurality of nodes corresponding to the number of the first accumulated time values and / or the number of the second accumulated time values and / or the number of the third accumulated time values.

[0130] The travel characteristic accumulated information input (assigned) to the nodes of the input layer 101 can include a fourth accumulated time value for each speed interval and / or a fifth accumulated time value for each travel region and / or a sixth accumulated time value for each humidity interval. The fourth accumulated time value to the sixth accumulated time value are preferably normalized to a ratio based on a total available time corresponding to a guaranteed lifetime of the battery 51. In an example, if the accumulated time value in a specific speed interval is 2,000 hours and the total available time is 20,000 hours, the normalized accumulated time value is 1 / 10 (0.1).

[0131] The number of the fourth accumulated time values corresponds to the number of the speed intervals, the number of the fifth accumulated time values corresponds to the number of the regions traveled by the electric vehicle 50, and the number of the sixth accumulated time values corresponds to the number of the humidity intervals. For example, if the number of the speed intervals is 8, the number of the travel regions is 20 and the number of the humidity intervals is 6, the number of the fourth accumulated time values to the sixth accumulated time values are 8, 20 and 6, respectively.

[0132] Preferably, the input layer 101 can include a plurality 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.

[0133] The battery 51 operation characteristic data chart data input (assigned) to the nodes of the input layer 101 can include voltage data and temperature data measured for each SOC. Because both the voltage and the temperature of the battery 51 are measured for each SOC, 100 nodes can be assigned for inputting the voltage data, and another 100 nodes can be assigned for inputting the temperature data.

[0134] Here, 100 is the number of nodes corresponding to the SOC from 1% to 100% assuming that the SOC changes from 0% to 100% by 1%. If the voltage and the temperature of the battery 51 are measured in the SOC interval from 31% to 50%, the voltage data can be input to 20 nodes corresponding to 31% to 50%, and the temperature data can be input to another 20 nodes corresponding to 31% to 50%. In addition, the voltage data and the temperature data can not be input to the nodes corresponding to the SOC of the 1% to 30% interval and the SOC of the 51% to 100% interval, and 0 can be assigned thereto.

[0135] Further, voltage data and temperature data measured in the SOC including values below the decimal point can be converted to voltage data and temperature data of the nearby SOC without the decimal point through interpolation or extrapolation. In some cases, temperature data can be excluded from the input data in order to reduce the amount of training calculation of the artificial neural network. In this case, the input layer 101 can not include a node to which temperature data is input.

[0136] The output layer 103 can include a node to which the deterioration information of the battery 51 is output. As described in the above-mentioned embodiment, if the artificial neural network 100 is designed based on a stochastic model, the output layer 103 can include a plurality of nodes for outputting a probability distribution of the deterioration degree of the battery 51. Figure 9

[0137] In an example, if the artificial neural network 100 is designed to determine the deterioration degree in units of 1% between 71% and 100%, the output layer 103 can include a total of 30 nodes. In this case, the deterioration degree corresponding to the node outputting the highest probability value among the 30 nodes can be determined as the deterioration degree of the battery 51. For example, if the probability output from the 10th node is the highest, the deterioration degree of the battery 51 can be determined as 80%. Alternatively, after obtaining the sum of values obtained by multiplying the probability output from each node by the corresponding deterioration degree, the average value of the sum can be determined as the deterioration degree. It will be apparent to those skilled in the art that the number of nodes can be further increased to improve the accuracy of the deterioration degree.

[0138] Alternatively, if the artificial neural network 100 is designed based on a deterministic model, the output layer 103 can include at least one node for directly outputting the deterioration degree of the battery 51.

[0139] 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 can be appropriately selected in consideration of the amount of training calculation of the artificial neural network 100 and the accuracy and reliability of the artificial neural network 100.

[0140] In the artificial neural network 100, a sigmoid function can be used as an activation function. Alternatively, various activation functions known in the art such as a SiLU (Sigmoid Linear Unit) function, a ReLu (Rectified Linear Unit) function, a softplus function, an ELU (Exponential Linear Unit) function, a SQLU (Square Linear Unit) function, etc. can be used.

[0141] In the artificial neural network 100, the initial values of the connection weights and the bias between the nodes can be randomly set. In addition, the connection weights and the bias can be optimized in the process of training the artificial neural network.​

[0142] In one embodiment, the artificial neural network can be trained by a backpropagation algorithm. In addition, while the artificial neural network is being trained, the connection weights and biases can be optimized by an optimizer.

[0143] In an embodiment, an SGD (Stochastic Gradient Descent) algorithm can be used as the optimizer. Alternatively, a NAG (Nesterov Accelerated Gradient) algorithm, a momentum algorithm, a Nadam algorithm, an Adagrad algorithm, an RMSProp algorithm, an Adadelta algorithm, an Adam algorithm, or the like can be used.

[0144] The battery service server 30 can periodically repeat training of the artificial neural network 100 by using data stored in the diagnosis analysis data storage unit 62 of the database 60.

[0145] For this purpose, by using the above-described method, the battery service server 30 can collect diagnosis analysis data from the electric vehicle control device 52 of the numerous electric vehicles 50 and cumulatively record the data in the database 60.

[0146] The training data of the artificial neural network 100 includes training input data and training output data. The training input data can include frequency distribution data generated from the travel characteristic accumulation information of the electric vehicle 50, frequency distribution data generated from the operation characteristic accumulation information of the battery 51, and operation characteristic information. In addition, the training output data includes the deterioration degree of the battery 51 determined using the operation characteristic data chart. Various methods of determining the deterioration degree from the operation characteristic data chart have been described.

[0147] Preferably, the diagnosis analysis data used for training can be recorded in the diagnosis analysis data storage unit 62 of the database 60 in matching 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. Accordingly, in the diagnosis analysis data storage unit 62, numerous training data collected from the same model of the electric vehicle 50 equipped with the same model of the battery 51 can be recorded. In addition, since the training data is continuously collected through the electric vehicle control device 52, the amount of training data can increase more and more.

[0148] Preferably, the battery service server 30 can train the artificial neural network for each model of the electric vehicle 50 and / or each model of the battery 51, respectively, in order to reduce the training computational load of the artificial neural network 100 and improve the reliability of the output estimated by the artificial neural network 100 through distributed data processing.

[0149] That is, when the battery service server 30 periodically trains the artificial neural network 100, the battery service server 30 can extract training data for the same model of the electric vehicle 50 and / or the same model of the battery 51 among the training data stored in the diagnosis analysis data storage unit 62, and independently train the artificial neural network 100 specialized for the corresponding model of the electric vehicle 50 and / or the corresponding model of the battery 51. In addition, if the amount of newly collected training data for the model of the electric vehicle 50 and / or the model of the battery 51 increases beyond a reference value, the battery service server 30 can restart the training of the corresponding artificial neural network 100 to further improve the accuracy of the artificial neural network 100.

[0150] Further, if the frequency distribution data (see FIG. 10) generated from the travel accumulated time information for each travel region in the travel characteristic accumulation information of the electric vehicle 50 has too many variables, the artificial neural network 100 can be individually trained for each broad region grouping a plurality of regions. Figure 7

[0151] For example, assume that the total number of models of the electric vehicle 50 is 100, the total number of models of the battery 51 installed to the electric vehicle 50 is 10, and the electric vehicle 50 is operated in 1,000 cities in the domestic or foreign country. In this case, the battery service server 30 can group the cities according to a predetermined standard, and train a plurality of artificial neural networks corresponding to 100 x 10 x (the number of region groupings). In one example, the cities can be grouped on a country-by-country basis. In another example, the cities can be grouped in units of a predetermined number of adjacent cities within the same country.

[0152] In this case, when the battery service server 30 trains the artificial neural network 100, the battery service server 30 can extract only the training data having the same model of the battery 51 and / or the same model of the electric vehicle 50 and having the same variable (city) for the frequency distribution data for the travel region from the training data stored in the diagnosis analysis data storage unit 62, and independently train the artificial neural network 100 specialized for the travel region and / or the model of the electric vehicle 50 and / or the model of the battery 51. In addition, if the amount of new training data having the same travel region and / or the same model of the electric vehicle 50 and / or the same model of the battery 51 increases beyond a reference value, the battery service server 30 can restart the training of the corresponding artificial neural network 100 to further improve the accuracy of the artificial neural network 100.

[0153] ​In the present disclosure, the artificial intelligence model is not limited to an artificial neural network. Thus, in addition to the artificial neural network, a Gaussian process model or the like can be used. When a classification model is trained with respect to the deterioration information of the battery, an SVM (Support Vector Machine), a K-Nearest Neighbor algorithm, a Naive Bayes classifier, or the like can be used. If the reliability of the deterioration information used to train the artificial intelligence model is problematic, a K-means clustering or the like can be used as an auxiliary means for obtaining deterioration training information.

[0154] Software related to artificial intelligence algorithms is well known, and many software products have been commercialized. Since the artificial intelligence algorithm does not depend on the type of training data, it will be obvious to those skilled in the art that, in performing the present disclosure, the best one among the artificial intelligence algorithms known in the art must be selected as artificial intelligence software that learns the correlation between the diagnostic analysis data and the degree of deterioration.

[0155] Further, the battery service server 30 can include an auxiliary artificial neural network trained by using the operation characteristic accumulation information of each cycle and the operation characteristic data chart information of each cycle provided from the battery manufacturer.

[0156] Figure 10 FIG. 1 is an exemplary diagram showing the structure of an auxiliary artificial neural network 100' according to an embodiment of the present disclosure.

[0157] Referring to Figure 10 , 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 substantially the same as the artificial neural network 100 shown in Figure 9 , except that the input layer 101' does not have nodes to which data corresponding to the driving characteristic accumulation information of the electric vehicle 50 is input.

[0158] The auxiliary artificial neural network 100' can be used to determine the degree of deterioration of the battery 51 when the artificial neural network 100 is not sufficiently trained.

[0159] The battery service server 30 can be in communication connection with the battery data providing server 70 through the network 40 to collect data for training the auxiliary artificial neural network 100'.

[0160] Preferably, the battery data providing server 70 can be installed at the battery manufacturer. The battery data providing server 70 transmits the operation characteristic accumulation information of each cycle, the operation characteristic data chart information of each cycle, and the degree of deterioration of the battery 51 of each cycle obtained from a charge / discharge cycle experiment on the battery 51 installed to the electric vehicle 50, together with the model code and the identification code of the battery 51, to the battery service server 30 through the network 40.

[0161] The charge / discharge cycle experiment is an experiment in which the battery 51 is repeatedly charged and discharged under various charge / discharge conditions for a predetermined number of times using a device called a charge / discharge simulator. The charge / discharge cycle experiment is a necessary experiment that the battery manufacturer performs before commercializing the battery 51. It is desirable that the charge / discharge conditions simulate various driving conditions (mountain driving, rough road driving, city driving, high-speed driving, etc.) and various climate conditions (temperature, humidity, etc.) of the electric vehicle 50.

[0162] The charge / discharge simulator is an automated experiment device in which a control computer, a charge / discharge device, and a temperature / humidity control room are combined together. Each time the charge / discharge of each cycle is performed, the charge / discharge simulator can generate operation characteristic accumulation information by accumulating the cumulative operation time of each voltage interval and / or the cumulative operation time of each current interval and / or the cumulative operation time of each temperature interval, measure or estimate the SOC and / or the voltage and / or the current and / or the temperature, generate operation characteristic data chart information while the charge is being performed, and record the operation characteristic data chart information in a storage device.

[0163] In addition, if the charge of each cycle is completed, the charge / discharge simulator can determine the degree of deterioration of the battery 51 based on the charge completion time point. As has been described above, the degree of deterioration can be calculated from the amount of change in the charge capacity determined by the amperometric counting method in the predetermined charge voltage interval or the internal resistance of the battery obtained by linear regression analysis of the voltage and current data measured in the predetermined charge voltage interval.

[0164] The battery data providing server 70 can include a database 71 that stores data obtained through the charge / discharge cycle experiment. Each time each charge / discharge cycle of the battery 51 is performed, the battery data providing server 70 can store the operation characteristic accumulation information of each cycle, the operation characteristic data chart information of each cycle, and the degree of deterioration of each cycle in the database 71 in matching with the model code and / or the identification code of the battery 51.

[0165] The battery data providing server 70 can periodically transmit the auxiliary training data including the operation characteristic accumulation information of each cycle, and provide the operation characteristic data chart information of each cycle and the degree of deterioration of each cycle stored in the database 71 together with the model code and / or the identification code of the battery 51 to the battery service server 30 through the network 40. The number of auxiliary training data corresponds to the number of charge / discharge cycle experiments. For example, if 200 charge / discharge cycle experiments are performed on a battery of a certain model, the number of auxiliary training data is 200.

[0166] The battery service server 30 can record the auxiliary training data transmitted from the battery data providing server 70 in the diagnosis analysis data storage unit 62 of the database 60 in association with the identification code and / or model code of the battery 51.

[0167] Preferably, in the auxiliary training data, information on the accumulated operation time of each voltage interval and / or the accumulated operation time of each current interval and / or the accumulated operation time of each temperature interval included in the operation characteristic accumulation information can be converted into frequency distribution data and stored in the diagnosis analysis data storage unit 62 of the database 60.

[0168] After the auxiliary training data is stored in the database 60, the battery service server 30 can train the auxiliary artificial neural network 100' for each battery model by using the auxiliary training data.

[0169] The structure of the auxiliary artificial neural network 100' is similar to that of the artificial neural network 100 shown in Figure 9 However, the training method and other features of the auxiliary artificial neural network 100' are basically the same as described above.

[0170] By complementarily using the auxiliary artificial neural network 100' trained by the auxiliary training data transmitted from the battery data providing server 70 and the artificial neural network 100 trained by the training data transmitted from the plurality of electric vehicle control devices 52, the battery service server 30 can determine the degree of deterioration of the battery 51 and provide the control factor for controlling the charge / discharge of the battery 51 according to the determined degree of deterioration to the electric vehicle control device 52 of the electric vehicle 50.

[0171] In one example, a weighted average of the degree of deterioration determined by the artificial neural network 100 and the degree of deterioration determined by the auxiliary artificial neural network 100' can be determined as the degree of deterioration of the battery 51. The weight given to each degree of deterioration can be adaptively adjusted according to the training level of the artificial neural network 100. Preferably, as the amount of training of the artificial neural network 100 increases, the weight of the degree of deterioration determined by the artificial neural network 100 can be proportionally increased.

[0172] Preferably, when the degree of deterioration of the battery 51 increases beyond a threshold value, for example, when the SOH decreases beyond a threshold value, the battery service server 30 can transmit update information of the charge / discharge control logic to the communication device 20 through the network 40.

[0173] The update information of the charge / discharge control logic corresponding to the degree of deterioration can be defined in advance for each model of the electric vehicle 50 and / or each battery model, and recorded in the database 60.

[0174] Preferably, when the communication device 20 receives the update information on the charge / discharge control logic from the battery service server 30, the communication device 20 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 can update the factors referenced by the existing control logic with reference to the update information of the charge / discharge control logic.

[0175] In the present disclosure, the update information of the charge / discharge control logic can include at least one selected from a charge current size applied for each SOC interval, a charge upper limit voltage value, a discharge lower limit voltage value, a maximum charge current, a maximum discharge current, a minimum charge current, a minimum discharge current, a maximum temperature, a minimum temperature, a power map for each SOC, and an internal resistance map for each SOC.

[0176] Optionally, when the battery 51 is subjected to pulse charge / discharge, the update information of the charge / discharge control logic can include at least one selected from an upper limit of a pulse current duty ratio, a lower limit of a pulse current duty ratio, an upper limit of a pulse current duration, a lower limit of a pulse current duration, a maximum value of a pulse current, and a minimum value of a pulse current.

[0177] Optionally, when the battery 51 is subjected to step charge, the update information of the charge / discharge control logic can include information on the size of the charge current applied for each SOC interval.

[0178] Optionally, when the battery 51 is charged in a CC (constant current) / CV (constant voltage) mode, the update information of the charge / discharge control logic can include at least one selected from a current size in a constant current charge (CC) mode, a cutoff voltage at the end of the constant current charge (CC) mode, and a voltage size in a constant voltage charge (CV) mode.

[0179] According to still another embodiment, the battery service server 30 can receive an identification code of the battery 51 installed to the electric vehicle 50 and utilization application information related to the battery performance management service, with a user interface provided by the electric vehicle control device 52.

[0180] Here, the battery performance management service means a service in which the electric vehicle control device 52 transmits diagnosis analysis data of the battery 51 to the battery service server 30 and receives update information on the control logic of the battery 51 from the battery service server 30 periodically or aperiodically.

[0181] The user interface is a graphical user interface and can be provided through an integrated information display 53 of the electric vehicle 50. The integrated information display 53 is provided next to a driver's seat in the electric vehicle 50 and is a computer display that manages controls of the electric vehicle 50 and displays various driving information of the electric vehicle 50. The electric vehicle control device 52 can provide various user interfaces required to implement the present disclosure through the integrated information display 53.

[0182] In the present disclosure, the battery performance management service can be provided free of charge or for a fee.

[0183] When the use application information regarding the battery performance management service is received through the network 40, the battery service server 30 can be configured to determine the degree of deterioration, determine whether it is necessary to update the charge / discharge control logic, and generate and provide the update information related to the charge / discharge control logic to the electric vehicle control device 52 by using the ampere counting method, linear regression analysis of voltage / current data, an extended Kalman filter, or a pre-trained artificial intelligence model every time diagnostic analysis data of the battery 51 is collected, if an update is required.

[0184] For this purpose, the battery service server 30 can set a service use flag of the battery 51 to which the battery performance management service is applied and store it in the battery identification information storage unit 61. That is, for the battery to which the battery performance management service is applied, the service use flag can be set by searching for the battery identification code.

[0185] Alternatively, the battery service server 30 can be configured to further receive payment information in the step of receiving the use application information for the battery performance management service, and charge for the generation and provision of the update information of the charge / discharge control logic.

[0186] The charge can be made in any form such as periodic charging or discharging within a certain period (month, quarter, year, etc.). The payment method can be a credit card, electronic money, virtual money, etc. The battery service server 30 can record the charge information for the battery performance management service in the charge information storage unit 68 together with the identification code (ID) of the user and / or the battery identification code of the electric vehicle 50. The charge information can include the identification code (ID) of the user of the electric vehicle 50, the battery identification code, the payment period, the payment amount, the payment deadline, the payment method information, the payment date and time, and the charge success flag.

[0187] In addition, the battery performance management service can also be applied on a user interface output from a mobile communication terminal 90 owned by the user of the electric vehicle 50 without using the electric vehicle control device 52.

[0188] Preferably, the mobile communication terminal 90 is a smart phone, and the user interface is a graphic user interface provided by an application. The battery service server 30 can distribute an application that can be run in the mobile communication terminal 90, and the user can download the corresponding application through the network 40 and install it in the mobile communication terminal 90 owned by the user. Hereinafter, the application installed at the mobile communication terminal 90 is referred to as battery management software.

[0189] The user can apply for the battery performance management service after running the battery management software in the mobile communication terminal 90. At this time, it is obvious that the user can input payment information.

[0190] According to still another embodiment, the battery service server 30 can further provide other additional services together with the battery performance management service. The additional services can be provided as a paid service or a free service.

[0191] In one example, the battery service server 30 can calculate the remaining life of the battery 51 by referring to the deterioration information about the battery 51, and output it in a graphic manner through the battery management software. Of course, information about the remaining life can also be output from the integrated information display 53 of the electric vehicle 50 through the electric vehicle control device 52. The remaining life can be calculated by referring to a look-up table that defines the remaining life for each degree of deterioration. The remaining life look-up table can be defined for each model of the electric vehicle 50 and / or each battery model, and recorded in the battery residual value storage unit 65 of the database 60 in advance.

[0192] In addition, the battery service server 30 can calculate the residual value of the battery corresponding to the degree of deterioration of the battery 51 by referring to a residual value look-up table that defines the residual value according to the degree of deterioration of the battery 51, and output it in a graphic manner through the battery management software. The residual value means a relative value based on the market price of the battery. The residual value can be expressed as a percentage based on the market price of the battery. Information about the residual value can also be output from the integrated information display 53 of the electric vehicle 50 through the electric vehicle control device 52. The residual value look-up table can be defined for each model of the electric vehicle 50 and / or each battery model, and recorded in the battery residual value storage unit 65 of the database 60.

[0193] In addition, the battery service server 30 can analyze the driving information of the electric vehicle 50, calculate the remaining life of the battery under the condition of maintaining the current driving habit of the user, and transmit it to the electric vehicle control device 52 through the network 40. Then, the electric vehicle control device 52 can display the remaining life information of the battery through the integrated information display 53 of the electric vehicle 50. In another example, the battery service server 30 can transmit the remaining life of the battery to the battery management software running in the mobile communication terminal 90. Then, the battery management software can output the remaining life information through the display of the mobile communication terminal 90.

[0194] The driving habit can be analyzed using the speed change data chart of the SOC included in the diagnosis analysis data collected from the electric vehicle 50. As an example, the battery service server 50 can accumulate count the number of sudden accelerations by analyzing the speed change data chart according to the SOC, and classify the driving habit into a plurality of types according to the number of sudden accelerations. The sudden acceleration is determined based on the case where the speed change is greater than the SOC change by a critical value or more.

[0195] The battery service server 30 can define the increase rate of the deterioration degree in advance according to the type of the driving habit. That is, the battery service server 30 analyzes the driving information of the electric vehicle 50 recorded in the diagnosis analysis data storage unit 62 of the database 60 to calculate the number of accumulated sudden accelerations, determines the type of the driving habit of the user of the electric vehicle 50 among a plurality of driving habit types, and determines the predetermined increase rate of the deterioration degree corresponding to the type of the driving habit. Then, the battery service server 30 can determine the time taken to increase the deterioration degree beyond the threshold value by increasing the deterioration degree according to the increase degree of the deterioration degree determined according to the driving habit type based on the current deterioration degree of the battery 51 as the battery remaining life, that is, by reducing the SOH. In addition, the battery service server 30 can determine the remaining life of the battery according to all driving habit types and transmit it to the electric vehicle control device 52 or the battery management software operating in the mobile communication terminal 90. Then, the electric vehicle control device 52 can display the remaining life information of the battery 51 estimated for each driving habit type through the integrated information display 53 of the electric vehicle 50. In addition, the battery management software can display the remaining life information of the battery 51 estimated for each driving habit type through the display of the mobile communication terminal 90. The user of the electric vehicle 50 can be provided with the remaining life information of the battery 51 estimated from the current driving habit and the remaining life information of the battery 51 estimated from other driving habit types. Therefore, the user of the electric vehicle 50 can be made to drive more economically. The increase rate of the deterioration degree according to the driving habit type can be defined in advance for each battery model and recorded in the database 60.

[0196] According to still another embodiment, the battery 51 included in the electric vehicle 50 can be rented. In this case, a rental charging server operated by a battery rental company can be connected to the battery service server 30 to enable communication through the network 40 as an embodiment of the external server 80.

[0197] In this embodiment, the external server 80 (rental charging server) can receive a battery rental service application from a user of the electric vehicle 50 through the network 40.

[0198] The battery rental service application can be made through a user interface provided by the electric vehicle control device 52 using an integrated information display 53 of the electric vehicle 50 or a user interface provided by battery management software operated in the mobile communication terminal 90.

[0199] The rental service application information can include a user identification code (ID) of the electric vehicle 50, a model code of the electric vehicle 50 and the battery 51, an identification code of the electric vehicle 50 and the battery 51, a rental time of the battery 51, a rental use fee, payment information, etc.

[0200] The battery rental service application can be made at the purchase stage of the electric vehicle 50, and can also be made when the battery of the electric vehicle 50 is replaced. Of course, as for the battery rental service application, the use type of the battery 51 can also be converted to rental while the electric vehicle 50 is being used. In this case, a regular use fee according to the rental of the battery 51 can be deducted from the battery price paid at the time of purchasing a new vehicle, and a cost corresponding to the remaining value of the battery can be refunded to the user of the electric vehicle 50 when the rental use time ends, or paid as a first deposit when a new battery is rented.

[0201] The external server 80 (rental charging server) transmits the battery identification code of the rental service application to the battery service server 30 through the network 40. When the rental service is first applied, the external server 80 (rental charging server) can transmit the battery model code, the electric vehicle identification code, the payment information, etc. to the battery service server 30 together with the battery identification code. Then, the battery service server 30 records the battery identification code, etc. of the battery to which the rental service is applied in the battery identification information storage unit 61 of the database 60, and at the same time, sets a rental flag indicating a rental state. If the battery identification code has already been registered in the database 60, only the step of setting the rental flag can be performed. It is obvious that various information including the payment information received when the battery rental service is applied can be recorded in the database 60 and maintained and updated.

[0202] If the battery 51 installed to the electric vehicle 50 is a rental battery, the battery service server 30 can additionally collect information on the accumulated charge / discharge amount of the battery from the electric vehicle control device 52 together with the diagnostic analysis data of the battery 51, and record it in the accumulated charge / discharge amount storage unit 63 of the database 60.

[0203] In addition, the battery service server 30 can calculate the usage fee of the battery 51 according to the accumulated charge / discharge amount and the deterioration change amount of the battery 51 included in the electric vehicle 50, and transmit it to the electric vehicle control device 52 or the battery management software operating in the user's mobile communication terminal 90. Then, the electric vehicle control device 52 can display information on the usage fee of the battery 51 through the integrated information display 53 of the electric vehicle 50. In addition, the battery management software can display information on the usage fee of the battery 51 through the display of the mobile communication terminal 90.

[0204] The usage fee of the rental battery can be determined by mainly calculating the usage fee by multiplying the cost per 1 kw by the accumulated charge / discharge amount corresponding to the charging period, and then adding an additional cost according to the increase in the degree of deterioration during the charging period to the cost mainly calculated. The additional cost according to the increase in the degree of deterioration can be preset for each battery model. The additional cost is considered because the residual value of the battery decreases according to depreciation as the degree of deterioration increases, that is, as the SOH decreases.

[0205] The battery service server 30 can periodically determine the usage fee of the battery 51, for example, on the last day of each month, and then record the battery usage fee information of the corresponding month together with the battery identification code of each battery 51 to which the rental service is applied in the battery usage fee storage unit 66 of the database 60.

[0206] The external server 80 (rental charging server) of the battery rental company can periodically access the battery service server 30 through the network 40 to receive the usage fee information of the battery 51 to which the rental service is applied, and then transmit a payment request message 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 can request payment from the user by outputting a payment request screen using the integrated information display 53 of the electric vehicle 50. Similarly, the battery management software can request payment from the user by outputting a payment request screen using the display of the mobile communication terminal 90. The usage fee of the battery 51 can be paid by any payment method known in the art such as credit card payment, account transfer payment, electronic money payment, and virtual currency payment. If the user has previously registered payment method information, payment related to the usage fee can be automatically processed.

[0207] In addition, when the user completes the payment, the external server 80 (lease charge server) transmits a payment completion flag to the battery service server 30 through the network 40. Then, the battery service server 30 initializes the usage charge of the battery 51 for which the usage charge payment has been completed to 0.

[0208] According to another embodiment, the insurance company server of the insurance company can access the battery service server 30 as another embodiment of the external server 80.

[0209] The external server 80 (insurance company server) is a server that is accessed by the user of the electric vehicle 50 when the user wants to purchase insurance for the electric vehicle 50. The external server 80 (insurance company server) can be accessed through a user interface provided by the electric vehicle control device 52 using the integrated information display 53 of the electric vehicle 50 or a user interface provided by the battery management software operated in the mobile communication terminal 90. In addition, the user of the electric vehicle 50 can access the external server 80 (insurance company server) using a browser installed on a computer or the mobile communication terminal 90.

[0210] The external server 80 (insurance company server) can receive the electric vehicle identification code (vehicle identification number) together when receiving the 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 can read the battery identification code stored in correspondence with the electric vehicle identification code by referring to the battery identification information storage unit 61 of the database 60, and map the residual value corresponding to the battery identification code in the battery residual value storage unit 65 of the database 60, and transmit the mapped battery residual value information to the external server 80 (insurance company server) through the network 40.

[0211] The battery service server 30 can charge the external server 80 (insurance company server) for the inquiry of the battery residual value information. Accordingly, the battery service server 30 can be configured to store the identification code of the insurance company that requested 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.

[0212] The external server 80 (insurance company server) 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 can be determined by considering the degree of aging and the period of use. In addition, the external server 80 (insurance company server) can calculate the total price of the electric vehicle 50 by adding the battery residual value to the residual value of the electric vehicle 50, calculate the property compensation insurance premium from the calculated price, and transmit it to the electric vehicle control device 52 of the electric vehicle 50 or the battery management software operating in the mobile communication terminal 90 through the network 40. Then, the electric vehicle control device 52 can display information on the property compensation insurance premium through the integrated information display 53 of the electric vehicle 50. In addition, the battery management software can display information on the property compensation insurance premium through the display of the mobile communication terminal 90.

[0213] The user can transmit the car insurance subscription application information to the external server 80 (insurance company server) after viewing the information on the insurance premium displayed through the integrated information display 53 of the electric vehicle 50 or the display of the mobile communication terminal 90.

[0214] The subscription application information can include the vehicle number of the electric vehicle 50, the model and production year of the electric vehicle 50, the user name, the resident number, the address, the contact information (phone number, e-mail, etc.), the payment means, the payment information, etc.

[0215] In some cases, when the user of the electric vehicle 50 wants to purchase car insurance, the external server 80 (insurance company server) can provide a discount event on the insurance premium on the premise that the battery performance management service provided by the battery service server 30 is subscribed.

[0216] According to another embodiment, the e-commerce server of the second-hand electric vehicle trading company can 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) can receive the electric vehicle identification code (vehicle identification number) from the user of the electric vehicle 50 while the user is registering the electric vehicle 50 as a sales item. Access to the external server 80 (e-commerce server) can be made by using the user interface provided by the electric vehicle control device 52 using the integrated information display 53 of the electric vehicle 50 or by using the battery management software operating in the mobile communication terminal 90. In addition, the user of the electric vehicle 50 can access the external server 80 (e-commerce server) using a browser installed in a computer or a mobile communication terminal 90.

[0217] The external server 80 (e-commerce server) can receive the electric vehicle identification code (vehicle identification number) together with the sale application of 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 can map the remaining value matching the stored battery identification code stored in the battery identification information storage unit 61 of the database 60 by reading the stored battery identification code matching the electric vehicle identification code, and transmit the mapped battery remaining value information to the external server 80 (e-commerce server) through the network 40.

[0218] The battery service server 30 can charge the external server 80 (e-commerce server) for the inquiry of the battery remaining value information. Accordingly, the battery service server 30 can be configured to store the identification code of the e-commerce company that requested the battery remaining value information and the charging information for providing the remaining value information in the charging information storage unit 68 of the database 60.

[0219] After receiving the information on the battery remaining value from the battery service server 30, the external server 80 (e-commerce server) calculates the remaining value of the electric vehicle 50 according to the usage period of the electric vehicle 50. In addition, the external server 80 (e-commerce server) can calculate the second-hand price of the electric vehicle 50 by adding the battery remaining value to the remaining value of the electric vehicle 50, and transmit the corresponding second-hand price as the recommended sale price information of the electric vehicle 50 to the electric vehicle control device 52 of the electric vehicle 50 or the battery management software operating in the mobile communication terminal 90. Then, the electric vehicle control device 52 can output the recommended sale price information of the electric vehicle 50 through the integrated information display 53 of the electric vehicle 50. In addition, the battery management software can output the recommended sale price information of the electric vehicle 50 through the display of the mobile communication terminal 90.

[0220] After viewing the recommended sale price information of the electric vehicle 50, the user can transmit the second-hand sale application information of the electric vehicle 50 to the external server 80 (e-commerce server) through the network 40. The second-hand sale application can be made using the user interface provided by the electric vehicle control device 52 through the integrated information display 53 of the electric vehicle 50. In addition, the second-hand sale application can be made using the user interface provided by the battery management software through the display of the mobile communication terminal 90. In addition, the second-hand sale application can be made through the web page provided by the external server 80 (e-commerce server) or the dedicated mobile application provided by the external server 80 (e-commerce server).

[0221] The second-hand sale information can include a vehicle number of the electric vehicle 50, a model and a production year of the electric vehicle 50, identification information (ID) of the user, contact information (a phone number, an email, etc.), a sale price of the electric vehicle 50, etc.

[0222] In some cases, when the user of the electric vehicle 50 applies for sale of the electric vehicle 50, the external server 80 (an e-commerce server) can access the battery service server 30 to inquire whether the battery of the electric vehicle 50 for which sale is applied subscribes to the performance management service and inquire about a subscription period, and increase the price of the electric vehicle 50 at a predetermined rate.

[0223] According to another embodiment, a warranty certification of a battery guarantee company can access the battery service server 30, which is another embodiment of the external server 80. The warranty certification server can be provided to the battery guarantee company. The external server 80 (warranty certification server) is a server accessed by a computer of a warranty certification requester during a process of certifying whether the battery 51 installed to the electric vehicle 50 is guaranteed by a manufacturer during a maintenance process of the electric vehicle 50, etc.

[0224] The external server 80 (warranty certification server) can receive a battery identification code or an electric vehicle identification code printed on a surface of the battery 51 from a terminal of the warranty certification requester, which aims to check whether performance management (i.e., update of charge / discharge control logic based on diagnosis of a deterioration degree of the battery) of the battery installed to the electric vehicle 50 is continuously performed. The certification requester can be a mechanic of the electric vehicle 50, etc. The external server 80 (warranty certification server) receives the electric vehicle identification code or the battery identification code from the terminal of the warranty certification requester through the network 40.

[0225] The external server 80 (warranty certification server) transmits the electric vehicle identification code or the battery identification code to the battery service server 30 through the network 40. Then, the battery service server 30 identifies whether a warranty flag is set with respect to the battery corresponding to the electric vehicle identification code or the battery identification code by referring to the warranty flag storage unit 68 of the database 60. If the warranty flag is set, the battery service server 30 can transmit a warranty certification success message to the external server 80 (warranty certification server) through the network 40. Accordingly, when performance management of the battery 51 installed to the electric vehicle 50 is continuously managed for a predetermined time, the warranty certification requester can confirm that the battery 51 is a battery whose electrochemical performance and remaining life are guaranteed.

[0226] In another embodiment, an advertisement server of an advertisement company can access the battery service server 30 as another embodiment of the external server 80. The external server 80 (advertisement server) receives target advertisement information from an advertiser computer according to a location, and transmits it to the battery service server 30 through the network 40. Preferably, the target advertisement can be a video advertisement. Then, the battery service server 30 stores the target advertisement information in the database 60 in correspondence with the location coordinates. In addition, when diagnostic analysis data is collected from the electric vehicle control device 52 of the electric vehicle 50, the battery service server 30 can also collect movement path information 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 movement path of the electric vehicle 50 or a location adjacent thereto is recorded in the database 60. If the target advertisement information is recorded, the battery service server 30 reads the target advertisement information from the database 60, and transmits it to the electric vehicle control device 52 or the battery management software of the mobile communication terminal 90 through the network 40. Then, the electric vehicle control device 52 can output the target advertisement (video) through the integrated information display 53 of the electric vehicle 50. In addition, the battery management software can output the target advertisement (video) through the display of the mobile communication terminal 90. Preferably, the target advertisement is output when the electric vehicle 50 is being charged at a charging station or when the electric vehicle 50 is stationary. As a result, a user of the electric vehicle 50 can be provided with a target advertisement matching the movement path of the electric vehicle 50, thereby maximizing the effect of the target advertisement.

[0227] According to the present disclosure, the battery performance of an electric vehicle can be reliably evaluated, and the charging / discharging control logic of the battery can be optimized to match the performance of the battery, thereby not only prolonging the service life of the battery but also improving the safety of battery use.

[0228] In addition, by providing reliable information about the remaining life of the battery to a user of the electric vehicle, the battery can be replaced at an appropriate time, and the reliability of the battery manufacturer can also be enhanced.

[0229] In addition, by constructing a database about correlation data between the driving habits of the user of the electric vehicle and the remaining life of the battery, the database can be used as accurate data for the calculation of insurance premiums of automobile insurance companies.

[0230] In addition, by providing a method of reasonably determining the residual value of the battery of the electric vehicle, an electric vehicle insurance market and a second-hand car trading market can be activated.

[0231] In addition, by providing a meter charge service that allows the use of a battery installed to an electric vehicle in a rental manner, the burden of purchasing an electric vehicle can be alleviated, thus promoting the rapid expansion of the electric vehicle market.

[0232] In addition, by periodically providing a performance guarantee service (warranty service) for the battery that has undergone performance management, the reliability of performance can be guaranteed when the electric vehicle equipped with the corresponding battery is distributed or when the corresponding battery is reused.

[0233] In addition, by providing target advertisement information matching a moving path of the electric vehicle to a user of the electric vehicle, the effect of advertisement can be maximized.

[0234] In the description of various exemplary embodiments of the present disclosure, it should be understood that elements referred to as "servers" are functionally distinguished rather than physically. Accordingly, each element can be selectively integrated with other elements, or each element can be divided into sub-elements for effective implementation of control logic. However, it would be obvious to those skilled in the art that an integrated or divided element falls within the scope of the present disclosure if functional identity can be confirmed for the integrated or divided element.

[0235] The present disclosure has been described in detail. However, it should be understood that the detailed description and specific examples, although indicating preferred embodiments of the present disclosure, are given by way of illustration only, since various changes and modifications within the scope of the present disclosure will become apparent to those skilled in the art from this detailed description.

Claims

1. A battery service provisioning system, the battery service provisioning system comprising: A computer device included in an electric vehicle, and the computer device being configured to collect and manage operating characteristic information of a battery installed in the electric vehicle and driving characteristic information of the electric vehicle, wherein the operating characteristic information includes data collected during charging or discharging of the battery, and wherein the driving characteristic information includes at least one piece of information related to the driving distance, driving time, or driving speed of the electric vehicle. A battery service server, which is communicatively connected to the computer device via a network; and A database that is connected to and accessible by the battery service server. The battery service server is configured as follows: Diagnostic analysis data is collected through the network and stored in the database. The diagnostic analysis data includes the operating characteristic information of the battery, the driving characteristic information of the electric vehicle, and the operating characteristic information and driving characteristic information of multiple other electric vehicles. Each operating characteristic information and driving characteristic information of the electric vehicle is matched with one or more codes. The one or more codes include at least one of the following: the model code of the corresponding electric vehicle, the identification code of the corresponding electric vehicle, the model code of the corresponding battery included in the battery of the electric vehicle, or the identification code of the corresponding battery included in the battery of the electric vehicle. Identify the model corresponding to the electric vehicle from a plurality of models, wherein the plurality of models are trained using at least one of the diagnostic analysis data of the electric vehicle or the diagnostic analysis data of the plurality of other electric vehicles, and each model is associated with a different code group. The degree of battery degradation of the electric vehicle is determined from the diagnostic analysis data based on the identified model; and Based on the determined degree of degradation, update information for the control logic of the battery is generated, and the update information is provided to the computer device.

2. The battery service provision system according to claim 1, in, The database includes a data area that stores voltage data charts defined for each battery model and each degree of degradation. The battery service server is configured to identify the voltage data chart with the highest similarity to the voltage data charts included in the diagnostic analysis data by referring to the voltage data chart information corresponding to each degree of degradation of the battery model that has collected the diagnostic analysis data, determine that the degree of degradation corresponding to the identified voltage data chart is the degree of degradation of the battery, and store the determined degree of degradation in the database.

3. The battery service provision system according to claim 1, in, The update information for the control logic includes: Choose at least one of the following for each SOC range: charging current, upper charging voltage limit, lower discharging voltage limit, maximum charging current, maximum discharging current, minimum charging current, minimum discharging current, highest temperature, lowest temperature, power graph for each SOC, and internal resistance graph for each SOC. When the battery is pulse-charged / discharged, at least one of the following is selected: upper limit of pulse current duty cycle, lower limit of pulse current duty cycle, upper limit of pulse current duration, lower limit of pulse current duration, maximum value of pulse current, and minimum value of pulse current. When the battery is charged in stages, the magnitude of the charging current applied for each SOC range; or Choose at least one of the following: the current magnitude in constant current charging (CC mode), the cutoff voltage at the end of CC mode, and the voltage magnitude in constant voltage charging (CV mode).

4. The battery service provision system according to claim 1, in, The battery service server is configured to determine the degree of battery degradation by analyzing diagnostic analysis data collected from the computer device in real time, and to store the determined degree of degradation in the database in accordance with the battery identification code.

5. The battery service provision system according to claim 1, in, The battery service server is configured as follows: The identification code of the battery installed in the electric vehicle and the application information for battery performance management services are received by the computer device through the user interface provided by the integrated information display of the electric vehicle or the user's mobile communication terminal. as well as The system generates update information for the control logic of the battery that has received the application information, and provides the update information to the computer device.

6. The battery service provision system according to claim 5, in, The battery service server is configured to receive payment information when receiving the application information, and to charge for the generation and provision of update information for the control logic.

7. The battery service provision system according to claim 1, in, The battery service server is configured to calculate the remaining value of the battery corresponding to the determined degree of degradation by referring to a remaining value lookup table that defines the remaining value according to the degree of degradation of the battery, and to provide the calculated remaining value through an integrated information display of the electric vehicle connected to the computer device or a display of the user's mobile communication terminal.

8. The battery service provision system according to claim 1, in, The battery service server is configured to: also receive the battery's cumulative charge / discharge amount and the diagnostic analysis data from the computer device, calculate the battery's usage cost based on the cumulative charge / discharge amount and the degree of degradation, and provide the calculated usage cost through an integrated information display of the electric vehicle connected to the computer device or a display of the user's mobile communication terminal.

9. The battery service provision system according to claim 1, in, The external server is the insurance company's insurance company server, and The battery service server is configured to receive battery identification codes from the insurance company server via the network, determine the remaining value information of the battery corresponding to the received battery identification code by referring to the database, and provide the determined remaining value information of the battery to the insurance company server.

10. The battery service provision system according to claim 1, in, The external server is the e-commerce server of the used electric vehicle trading company, and The battery service server is configured to receive battery identification codes from the e-commerce server via the network, determine the remaining value information of the battery corresponding to the received battery identification code by referring to the database, and provide the determined remaining value information of the battery to the e-commerce server.

11. The battery service provision system according to claim 1, in, The external server is the warranty certification server of the battery warranty company requesting warranty certification for the battery. The battery service server is configured to receive a battery identification code from the warranty authentication server via the network, determine by referring to the database whether a warranty mark corresponding to the received battery identification code exists in the database, and provide a warranty authentication success message to the warranty authentication server if the warranty mark exists.

12. The battery service provision system according to claim 1, in, The battery service server is configured as follows: Receive target ad information from the ad server based on location coordinates, and store the received target ad in the database; and While receiving the diagnostic analysis data from the computer device, the system also receives driving information related to the movement path of the electric vehicle, queries the database for target advertising information that matches the movement path of the electric vehicle, and provides the queried target advertising information through an integrated information display of the electric vehicle connected to the computer device or a display of the user's mobile communication terminal.

13. The battery service provision system according to claim 1, in, The battery service server is configured to collect the diagnostic analysis data from the computer device via the charging station when the battery of the electric vehicle is being charged at the charging station, or to collect the diagnostic analysis data from the computer device when the electric vehicle is running or stationary.

14. The battery service provisioning system according to claim 7, wherein, The battery service server is configured to send the remaining value of the battery to the external server upon request.

15. The battery service provisioning system according to claim 8, wherein, The battery service server is configured to send the battery usage fee value to the external server upon request.

16. The battery service provision system according to claim 1, wherein, The driving characteristic information includes at least one of the following: A speed change data chart, the speed change data chart indicating the number of sudden accelerations of the electric vehicle; and The cumulative driving distance data chart correlates the cumulative discharge of the battery over a period of time with the corresponding driving distance.

17. The battery service provision system according to claim 1, wherein, The diagnostic analysis data also includes at least one of the following: Humidity data, which is related to the operating characteristic information and the driving characteristic information, and the humidity data indicates the humidity of the area where the electric vehicle is driving; Driving area data, which is related to the operating characteristic information and the driving characteristic information, and the driving area data indicates the area in which the electric vehicle travels; The driving speed data is related to the operating characteristic information and the driving characteristic information, and the driving speed data indicates the speed at which the electric vehicle is traveling. The battery service server is configured to determine the degree of degradation of the battery of the electric vehicle in part based on the frequency distribution of at least one of the humidity data, the driving area data, and the driving speed data.

18. The battery service provisioning system according to claim 18, wherein, The diagnostic analysis data also includes each of the humidity data, the driving area data, and the driving speed data, and wherein the battery service server is configured to determine the degree of degradation of the battery of the electric vehicle in part based on the frequency distribution of each of the humidity data, the driving area data, and the driving speed data.

19. A method for providing battery services, the method comprising the following steps: The step of collecting diagnostic analysis data, including battery operating characteristic information and electric vehicle driving characteristic information, from a computer device via a network and storing the diagnostic analysis data in a database, wherein the operating characteristic information includes data collected during battery charging or discharging, and wherein the driving characteristic information includes at least one piece of information related to the electric vehicle's driving distance, driving time, or driving speed, wherein the diagnostic analysis data also includes operating characteristic information and driving characteristic information of multiple other electric vehicles, wherein the operating characteristic information and driving characteristic information of each electric vehicle are matched with one or more codes, the one or more codes including at least one of the following: a model code of the corresponding electric vehicle, an identification code of the corresponding electric vehicle, a model code of the corresponding battery included in the battery of the electric vehicle, or an identification code of the corresponding battery included in the battery of the electric vehicle; The step of identifying the model corresponding to the electric vehicle from multiple models, wherein the multiple models are trained using at least one of the diagnostic analysis data of the electric vehicle or the diagnostic analysis data of the multiple other electric vehicles, and each model is associated with a different code group. The steps of determining the degree of battery degradation of the battery vehicle based on the identified model from the diagnostic analysis data; and The steps are: generating updated information for the control logic of the battery based on the determined degree of degradation and providing the updated information to the computer device.

20. A non-volatile computer-readable medium storing computer instructions that, when executed by one or more processors, cause the one or more processors to perform the following: Diagnostic analysis data, including battery operating characteristics and electric vehicle driving characteristics, is collected from a computer device via a network and stored in a database. The operational characteristic information includes data collected during battery charging or discharging, and the driving characteristic information includes at least one piece of information related to the electric vehicle's driving distance, driving time, or driving speed. The diagnostic analysis data also includes operational characteristic information and driving characteristic information of multiple other electric vehicles. Each electric vehicle's operational characteristic information and driving characteristic information are matched with one or more codes, which include at least one of the following: a model code of the corresponding electric vehicle, an identification code of the corresponding electric vehicle, a model code of the corresponding battery included in the battery of the electric vehicle, or an identification code of the corresponding battery included in the battery of the electric vehicle. Identify the model corresponding to the electric vehicle from a plurality of models, wherein the plurality of models are trained using at least one of the diagnostic analysis data of the electric vehicle or the diagnostic analysis data of the plurality of other electric vehicles, and each model is associated with a different code group. The degree of battery degradation of the electric vehicle is determined from the diagnostic analysis data based on the identified model; and Based on the determined degree of degradation, update information for the control logic of the battery is generated, and the update information is provided to the computer device.

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