Battery service providing system and method

Abstract

To provide a battery service providing system and a method for diagnosing the performance of a battery based on collected data, and provide various additional services related to the battery according to the diagnosed performance.SOLUTION: In a system, a battery service server is configured to: collect diagnostic analysis data including operation characteristic information of a battery and driving characteristic information of an electric vehicle from an electric vehicle control device; and provide update information of a charging / discharging control logic of the battery according to the degree of battery degradation determined from the diagnostic analysis data to the electric vehicle control device, determine a residual value or a usage fee of the battery based on the determined degree of degradation, transmit the usage fee or the residual value of the battery to an external server, or set a warranty flag for the battery whose charging and discharging is controlled according to the update information of the charging / discharging control logic.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a system and method for providing battery services, and more particularly to a system and method for allowing a remote server to collect data related to operation information of a battery mounted on an electric vehicle and provide various services related to the battery based on the collected big data.

[0002] This application claims priority to Korean Patent Application No. 10-2020-0066164, filed on June 2, 2020, and the entire contents disclosed in the specification and drawings of that application are incorporated herein by reference. [Background technology]

[0003] The use of batteries is rapidly expanding, not only in mobile devices such as mobile phones, laptop computers, smartphones, and smart pads, but also in fields such as electrically powered automobiles (EV, HEV, PHEV) and large-capacity energy storage systems (ESS).

[0004] Batteries installed in electric vehicles include multiple battery cell assemblies connected in series and / or parallel to ensure high energy capacity and high power output.

[0005] A battery cell may include one unit cell or multiple unit cells connected in series and / or parallel. A unit cell means an independent cell that has a negative terminal and a positive terminal and can be physically separated. In one example, a pouch-type lithium polymer cell may be considered as a unit cell.

[0006] The rate at which electric vehicle batteries degrade depends on the driver's driving habits and the driving environment. For example, batteries in electric vehicles that undergo frequent rapid acceleration or that operate in mountainous areas or in desert or cold regions degrade faster because they are used in harsh conditions.

[0007] The deterioration of battery performance can be quantified as a factor called SOH, which is a value that expresses the relative performance of a battery in the middle of life (MOL) state relative to the performance of a battery in the beginning of life (BOL) state.

[0008] Battery capacity and internal resistance are used as indicators of battery performance. As the number of charge / discharge cycles of a battery increases, the battery capacity decreases and the internal resistance increases. Therefore, SOH can be quantified by the rate at which the battery capacity decreases and the rate at which the internal resistance increases.

[0009] The deterioration of a battery is inversely proportional to the SOH. In other words, the SOH of a battery in BOL state is 100%, and the SOH of a battery in MOL state is a percentage lower than 100% as the deterioration of the battery increases. If the SOH falls below a certain level and reaches the EOL (End Of Life) state, the battery's performance has deteriorated beyond its limit and it is necessary to replace the battery.

[0010] Only by setting different charge / discharge control logic according to the degree of deterioration of a battery's performance can the rate of deterioration of the battery be delayed as much as possible and its service life be extended.To achieve this, a method is required to monitor performance changes in multiple batteries of the same model in a centralized manner and to efficiently update the various control logic used in charging and discharging electric vehicles.

[0011] Meanwhile, since the core component of an electric vehicle is the battery, battery maintenance is of utmost importance. As the battery is an electrochemical device, it is necessary to accurately diagnose its current condition and manage it accordingly. Also, economical operation is only possible if electric vehicle users accurately understand the battery condition. For example, if the battery's SOH is low, it is desirable to delay deterioration of the battery's lifespan by driving economically.

[0012] Electric vehicles are more expensive than cars that use fossil fuels. This is due to the cost of the batteries they are equipped with. To promote the spread of electric vehicles, the government offers subsidy programs to support part of the cost of electric vehicles. However, to popularize electric vehicles, it is necessary to further reduce the burden of purchasing an electric vehicle through battery rental services, etc.

[0013] In addition, when an electric vehicle user purchases automobile insurance or when trading a used electric vehicle, the residual value of the electric vehicle must be calculated. However, it is reasonable to evaluate the residual value of an electric vehicle differently depending on the condition of the battery. Since the residual value of a battery varies depending on the charging and discharging history, a method is needed to determine the residual value of the battery rationally. Summary of the Invention [Problem to be solved by the invention]

[0014] The present invention has been devised against the background of the conventional technology described above, and aims to provide a big data-based battery service providing system and method that centrally collects data indicating the operating characteristics of a battery installed in an electric vehicle from an electric vehicle control device installed in the electric vehicle, diagnoses the performance (e.g., degree of deterioration) of the battery based on the collected data, and provides various additional services related to the battery based on the diagnosed performance. [Means for solving the problem]

[0015] To solve the above technical problems, a battery service providing system according to one aspect of the present invention may include an electric vehicle control device that collects and manages operating characteristic information of batteries installed in electric vehicles and driving characteristic information of the electric vehicle, a battery service server communicatively connected to the electric vehicle control device via a network, and a database connected to the battery service server so that the battery service server can access it.

[0016] Preferably, the battery service server collects diagnostic analysis data including battery operating characteristic information and electric vehicle driving characteristic information from the electric vehicle control device via a network, stores the collected data in a database, and determines the degree of deterioration of the battery from the diagnostic analysis data.

[0017] Preferably, the battery service server may be configured to (a) generate update information for the battery charge / discharge control logic based on the determined degree of deterioration and provide it to the electric vehicle control device, (b) determine a residual value of the battery based on the determined degree of deterioration, (c) determine a battery usage fee based on the determined degree of deterioration, (d) transmit the battery usage fee or residual value to an external server upon request from the external server, or (e) set a warranty flag for a battery for which charge / discharge control is performed based on the update information of the charge / discharge control logic.

[0018] According to one aspect, the battery service server may be configured to collect identification information including at least one selected from an electric vehicle model code, an electric vehicle identification code, a battery model code, and a battery identification code from an electric vehicle control device via a network, match the diagnostic analysis data with the identification information, and store the matched data in a database.

[0019] According to another aspect, the database may include a data area in which voltage profile information defined for each battery model and each degree of degradation is stored, and the battery service server may be configured to refer to the voltage profile information for each degree of degradation corresponding to the battery model for which the diagnostic analysis data was collected, identify a voltage profile having the highest similarity to a voltage profile included in the diagnostic analysis data, determine a degree of degradation corresponding to the identified voltage profile as a degree of degradation of the battery, and store the determined degree of degradation in the database.

[0020] Preferably, the update information of the charge / discharge control logic may include at least one selected from the magnitude of the charge current applied to each charge state section, 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 charge state, and an internal resistance map for each charge state.

[0021] In another example, the update information of the charge / discharge control logic may 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 when the battery is pulse charged or discharged.

[0022] In yet another example, the update information of the charge / discharge control logic may include the magnitude of the charge current to be applied for each charge state interval when the battery is step charged.

[0023] In another example, the update information of the charge / discharge control logic may include at least one selected from the following when the battery is charged in CC / CV mode: a magnitude of current in constant current charging (CC) mode, a cutoff voltage at which the constant current charging (CC) mode ends, and a magnitude of voltage in constant voltage charging (CV) mode.

[0024] In another aspect, the battery service server may be configured to analyze the diagnostic analysis data collected from the electric vehicle control device in real time to determine the degree of deterioration of the battery, match the determined degree of deterioration with the battery identification code, and store the matched degree in a database.

[0025] According to yet another aspect, the battery service server may be configured to train an artificial intelligence model to learn a correlation between the diagnostic analysis data and the degree of deterioration using the diagnostic analysis data and deterioration degree information of other batteries stored as big data in the database, and to determine the degree of deterioration of the battery from the diagnostic analysis data collected from the electric vehicle control device using the trained artificial intelligence model.

[0026] Preferably, the battery service server may be configured to train an artificial intelligence model using diagnostic analysis data and degradation information collected from other batteries of the same model.

[0027] According to one aspect, the battery service server may be configured to receive, by the electric vehicle control device, an identification code of a battery installed in the electric vehicle and application information related to a battery performance management service through a user interface provided by the electric vehicle's integrated information display or a user's mobile communication terminal, generate update information of charge / discharge control logic for the battery for which the application information has been received, and provide the update information to the electric vehicle control device.

[0028] Preferably, the battery service server may be configured to further receive payment information at the stage of receiving the usage application information and to charge for the generation and provision of update information of the charge / discharge control logic.

[0029] In another aspect, the battery service server may be configured to calculate a residual value corresponding to the determined degree of deterioration by referring to a residual value lookup table that defines the residual value according to the degree of deterioration of the battery, and provide the calculated residual value through an integrated information display of the electric vehicle linked to the electric vehicle control device or a display of the user's mobile communication terminal.

[0030] According to yet another aspect, the battery service server may be configured to further receive a cumulative charge / discharge amount of the battery together with the diagnostic analysis data from the electric vehicle control device, calculate a battery usage fee based on the cumulative charge / discharge amount and the degree of degradation, and provide the calculated fee through an integrated information display of the electric vehicle linked to the electric vehicle control device or a display of the user's mobile communication terminal.

[0031] According to the present invention, the external server is an insurance company server of an insurance company, and the battery service server may be configured to receive a battery identification code from the insurance company server via a network, refer to a database to determine battery residual value information corresponding to the received battery identification code, and provide the determined battery residual value information to the insurance company server.

[0032] According to another aspect, the external server may be an e-commerce server for used electric vehicles, and the battery service server may be configured to receive a battery identification code from the e-commerce server via a network, determine battery residual value information corresponding to the received battery identification code by referring to a database, and provide the determined battery residual value information to the e-commerce server.

[0033] According to yet another aspect, the external server may be a warranty certification server of a battery warranty company that requests warranty certification of the battery, and the battery service server may be configured to receive a battery identification code from the warranty certification server via a network, refer to a database to determine whether a warranty flag corresponding to the received battery identification code exists in the database, and if the warranty flag exists, transmit a warranty authentication success message to the warranty certification server.

[0034] According to yet another aspect, the battery service server may be configured to receive targeted advertising information according to location coordinates from the advertisement server, store the information in a database, further receive operation information related to the electric vehicle's travel route while receiving diagnostic analysis data from the electric vehicle control device, and query the database for targeted advertising information matched to the electric vehicle's travel route, and provide the information through an integrated information display of the electric vehicle linked to the electric vehicle control device or a display of the user's mobile communication terminal.

[0035] Preferably, the battery service server may be configured to collect diagnostic analysis data from the electric vehicle control device via the charging station while the battery of the electric vehicle is being charged at the charging station, or to collect diagnostic analysis data from the electric vehicle control device while the electric vehicle is in operation or parked.

[0036] A battery service providing method according to another aspect of the present invention for achieving the technical objectives may include any one selected from the group consisting of a step of collecting diagnostic analysis data including operating characteristic information of a battery and driving characteristic information of an electric vehicle from an electric vehicle control device via a network and storing the data in a database; a step of determining a degree of deterioration of the battery from the diagnostic analysis data; a step of generating update information for battery charge / discharge control logic according to the determined degree of deterioration and providing the generated update information to the electric vehicle control device; a step of determining a residual value of the battery based on the determined degree of deterioration; a step of determining a battery usage fee based on the determined degree of deterioration; a step of transmitting the battery usage fee or the residual value to an external server at the request of the external server; and a step of setting a warranty flag for a battery for which charge / discharge control is performed based on the update information of the charge / discharge control logic. Effect of the Invention

[0037] According to the present invention, the battery performance of an electric vehicle can be evaluated with high reliability and the battery charge / discharge control logic can be optimized to match the battery performance, thereby not only extending the battery life but also increasing the safety of battery use.

[0038] In addition, providing electric vehicle users with reliable information about the remaining battery life not only allows them to recommend battery replacement at the appropriate time, but also increases the reliability of battery manufacturers.

[0039] In addition, by compiling a database of correlation data between the driving habits of electric vehicle users and the remaining battery life, the data can be used as information for auto insurance companies to accurately calculate insurance premiums.

[0040] In addition, by providing a method for rationally determining the residual value of electric vehicle batteries, it will be possible to revitalize the insurance market and used vehicle trading market for electric vehicles.

[0041] In addition, by providing a pay-as-you-go service that allows the batteries installed in electric vehicles to be used on a rental basis, the burden of purchasing an electric vehicle can be reduced, which will ultimately lead to rapid expansion of the electric vehicle market.

[0042] In addition, by providing a performance guarantee service (warranty service) to batteries whose performance has been regularly managed, it is possible to guarantee the reliability of performance when electric vehicles equipped with the battery are distributed or when the battery is reused.

[0043] In addition, targeted advertising information that matches the route of the electric vehicle can be exposed to electric vehicle users, making it possible to maximize the effectiveness of targeted advertising.

[0044] The following drawings attached to this specification illustrate preferred embodiments of the present invention and, together with the detailed description of the invention, serve to further understand the technical ideas of the present invention. Therefore, the present invention should not be interpreted as being limited to only the matters described in the drawings. [Brief description of the drawings]

[0045] [Figure 1] 1 is a block diagram showing a configuration of a battery service providing system according to an embodiment of the present invention. [Diagram 2] 1 is a block diagram showing a configuration of a database according to an embodiment of the present invention. [Diagram 3]4 is a graph illustrating an example of frequency distribution data generated from accumulated information on operational characteristics of an electric vehicle battery according to an embodiment of the present invention. [Figure 4] 4 is a graph illustrating an example of frequency distribution data generated from accumulated information on operational characteristics of an electric vehicle battery according to an embodiment of the present invention. [Diagram 5] 4 is a graph illustrating an example of frequency distribution data generated from accumulated information on operational characteristics of an electric vehicle battery according to an embodiment of the present invention. [Figure 6] 4 is a graph illustrating an example of frequency distribution data generated from accumulated information on operational characteristics of an electric vehicle according to an embodiment of the present invention. [Figure 7] 4 is a graph illustrating an example of frequency distribution data generated from accumulated information on operational characteristics of an electric vehicle according to an embodiment of the present invention. [Figure 8] 4 is a graph illustrating an example of frequency distribution data generated from accumulated information on operational characteristics of an electric vehicle according to an embodiment of the present invention. [Figure 9] FIG. 2 illustrates the structure of an artificial neural network according to one embodiment of the present invention. [Figure 10] FIG. 2 illustrates the structure of an auxiliary artificial neural network according to one embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0046] Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the attached drawings. Prior to this, the terms and words used in this specification and claims should not be interpreted as being limited to their ordinary or dictionary meanings, but should be interpreted as being in accordance with the meaning and concept of the technical idea of ​​the present invention, in accordance with the principle that the inventor himself can appropriately define the concept of the term in order to best describe the invention. Therefore, it should be understood that the embodiment described in this specification and the configuration shown in the drawings are only one most preferred embodiment of the present invention, and do not represent the entire technical idea of ​​the present invention, and therefore there may be various equivalents and modifications that can be substituted for them at the time of this application.

[0047] FIG. 1 is a block diagram showing a schematic configuration of a battery service providing system 10 according to an embodiment of the present invention.

[0048] Referring to FIG. 1, a battery service providing system 10 according to an embodiment of the present invention provides various services to a battery 51 mounted on an electric vehicle 50.

[0049] The electric vehicle 50 includes an electric vehicle control device 52 that controls the charging and discharging of the battery 51 and the overall operation of the electric vehicle 50 .

[0050] The electric vehicle controller 52 is a computer device that controls the charging and discharging operation of the battery 51, and measures the voltage, current, and temperature of the battery 51 when charging and discharging the battery 51 and records them in a storage means 52a. In addition, the electric vehicle controller 52 may control the mechanical mechanisms and / or electronic mechanisms involved in the operation of the electric vehicle 50.

[0051] The storage means 52a is a non-transitory memory device, which is a computer storage medium capable of recording and / or erasing and / or modifying and / or transmitting data. The storage means 52a may be, for example, a flash memory, a hard disk, a solid state disk (SSD), or other types of hardware for storing data.

[0052] The electric vehicle control device 52 is a computer device mounted on the electric vehicle 50, and is widely known and commercially available in the art, so a detailed description will be omitted.

[0053] Preferably, the electric vehicle controller 52 transmits and receives information and / or data to and from the battery service server 30 via the communication device 20. A network 40 that supports data communication is provided between the communication device 20 and the battery service server 30.

[0054] The network 40 is not limited to any type that supports communication between the communication device 20 and the battery service server 30 .

[0055] Network 40 may include a wired network, a wireless network, or a combination of these. Wired networks include local or wide area Internet that supports TCP / IP protocols. Wireless networks include base station-based wireless networks, satellite networks, short-range wireless networks such as Wi-Fi®, or a combination of these.

[0056] Network 40 may include, by way of example, a 2G (second generation) to 5G (fifth generation) network, a LTE (Long Term Evolution) network, a GSM (Global System for Mobile communication) network, a Code Division Multiple Accesses network, an EVDO (Evolution-Data Optimization) network, a Public Land Mobile network, and / or other networks.

[0057] In other examples, network 40 may include a local area network (LAN), a wireless local area network (WLAN), a wide area network, a metropolitan area network (MAN), a public switched telephone network (PSTN), an ad-hoc network, a managed IP network, a virtual private network, an intranet, the Internet, an optical fiber based network, and / or combinations thereof, or other types of networks.

[0058] The communication device 20 is a communication device that mediates data exchange between an electric vehicle control device 52 included in the electric vehicle and the battery service server 30.

[0059] In one example, the communication device 20 may be provided inside the electric vehicle 50 .

[0060] In another example, when the electric vehicle 50 is charged at a charging station (not shown), the communication device 20 may be provided at the charging station. In this case, the communication device 20 and the electric vehicle controller 52 may transmit data to and receive data from each other via a data communication cable included in a standardized charging cable.

[0061] The communication device 20 is not particularly limited as long as it can exchange data with the battery service server 30 through the network 40. In one example, the communication device 20 can be a communication modem that supports a wired or wireless communication protocol known in the art.

[0062] In another example, the communication device 20 may be a separate module or a set-top box installed at a designated location, which may be a charging station for the electric vehicle 50, a parking lot for a residence where the user of the electric vehicle 50 resides, or a parking lot for a workplace where the user of the electric vehicle 50 works.

[0063] The electric vehicle controller 52 may collect and record in the storage means 52a operational characteristic information of the battery 51 while the battery 51 is being charged or discharged. The operational characteristic information may include one or more selected from the voltage, current, and temperature of the battery 51. The electric vehicle controller 52 may record in the storage means 52a the operational characteristic information of the battery 51 together with the state of charge (SOC) of the battery 51 and / or a time stamp.

[0064] The electric vehicle controller 52 may estimate the state of charge of the battery 51 using an ampere count method, an open circuit voltage (OCV) method, an extended Kalman filter, or the like known in the art. The electric vehicle controller 52 may be electrically coupled to a voltage sensor, a current sensor, and a temperature sensor provided in the battery 51 to collect operating characteristic information of the battery 51.

[0065] Preferably, the voltage, current and temperature of the battery 51 may be stored in the storage means 52 a in the form of a profile according to the state of charge (SOC) of the battery 51 .

[0066] Here, the profile is a data set that indicates the change in voltage, current, and temperature according to the state of charge of the battery 51. The data set is a multidimensional vector SOC k , I k , V k , T k k is an index relating to the time point at which the operating characteristics are measured. If the number of measurements is n, k is a natural number ranging from 1 to n. The battery operating characteristics profile can be expressed as a voltage profile according to the state of charge SOC k , V kand selectively selects a current profile SOC according to the state of charge. k , I k and / or temperature profile SOC k , T k may include.

[0067] The electric vehicle control device 52 may record driving characteristic information of the electric vehicle 50 in the storage means 52a. The driving characteristic information includes a speed change profile and a cumulative driving distance profile of the electric vehicle 50. Optionally, the driving characteristic information may further include coordinate data related to the moving path of the electric vehicle 50. The speed change profile may include a set of speed data according to the state of charge of the battery 51, SOC k , Velocity k , t k Here, velocity and t are the traveling speed and time stamp of the electric vehicle 50, respectively. The travel distance accumulation profile is a set Q of travel distance accumulation data according to the accumulated discharge amount of the battery 51. k , d k , t k Here, Q, d, and t are the accumulated discharge amount, the accumulated travel distance, and the time stamp, respectively. Optionally, the travel characteristic information may include the travel time of the electric vehicle 50 for each humidity section.

[0068] Preferably, the electric vehicle controller 52 may record the driving characteristic information of the electric vehicle 50 together with a time stamp in the storage means 52a. The electric vehicle controller 52 may be electrically coupled to a speed sensor, a GPS sensor, and a humidity sensor provided in the electric vehicle 50 in order to collect and store the driving characteristic information.

[0069] Preferably, the battery service providing system 10 according to the embodiment of the present invention may include a database 60 connected to the battery service server 30 so as to be accessible by the battery service server 30.

[0070] FIG. 2 is a block diagram showing the configuration of a database 60 according to an embodiment of the present invention.

[0071] 2, the database 60 may include a battery identification information storage unit 61. The battery identification information storage unit 61 is an information storage area that records a battery model code, a battery identification code, a model code of an electric vehicle in which the battery is installed, an electric vehicle identification code, a battery installation date, etc. The types of information recorded in the battery identification information storage unit 61 can be added or changed.

[0072] The database 60 may also include a diagnostic analysis data storage unit 62. The diagnostic analysis data storage unit 62 is an information storage area in which diagnostic analysis data collected from the electric vehicle control device 52 is recorded. The area in which diagnostic analysis data is stored is assigned to each battery 51 to which a battery identification code is assigned. The types of information recorded in the diagnostic analysis data storage unit 62 can be added or changed.

[0073] In one example, the diagnostic analysis data includes at least one selected from the group including a speed change profile, a cumulative driving distance profile, and a battery operating characteristic profile of the electric vehicle 50. The battery operating characteristic profile includes voltage, current, and temperature change profiles according to the charging state of the battery 51 as the latest charging characteristic information.

[0074] In another example, the diagnostic analysis data may include at least one selected from a group including a cumulative operating time by voltage section, a cumulative operating time by current section, and a cumulative operating time by temperature section, related to the battery 51 installed in the electric vehicle 50, as cumulative operating characteristic information related to the battery 51.

[0075] In yet another example, the diagnostic analysis data may include at least one selected from a group including cumulative driving time by speed section, cumulative driving time by driving area, and cumulative driving time by humidity section, as cumulative driving characteristic information related to the electric vehicle 50.

[0076] The database 60 also includes an accumulated charge / discharge amount storage unit 63. The accumulated charge / discharge amount storage unit 63 is an information storage area in which information relating to an accumulated charge / discharge amount obtained by integrating the charge / discharge amounts of a battery is recorded. The area in which the accumulated charge / discharge amount is stored is assigned to each battery 51 to which a battery identification code is assigned. The types of information recorded in the accumulated charge / discharge amount storage unit 63 can be added or changed.

[0077] The database 60 includes a degeneration degree lookup table storage unit 64. The degeneration degree lookup table storage unit 64 is an information storage area in which voltage profile information corresponding to a charging state for each degeneration degree of the battery 51 is recorded. The area in which voltage profile information for each degeneration degree is stored is assigned for each battery to which the same battery model code is assigned. The degeneration degree lookup table storage unit 64 may be pre-defined using data provided by a battery manufacturer and stored in the database 60. The types of information recorded in the degeneration degree lookup table storage unit 64 may be added or changed.

[0078] The database 60 may also include a battery residual value storage unit 65. The battery residual value storage unit 65 is an information storage area in which the residual value of the battery 51 is stored. The residual value may be calculated for each battery that is assigned a battery identification code. The residual value is determined from the deterioration degree of the battery. In one example, the greater the deterioration degree and the lower the SOH, the lower the residual value. The correlation between the residual value and the deterioration degree may be predefined by a function. The types of information recorded in the battery residual value storage unit 65 may be added or changed.

[0079] The database 60 may also include a battery usage fee storage unit 66. The battery usage fee storage unit 66 is an information storage area in which battery usage fee information calculated based on the accumulated charge / discharge amount and the increase in degradation degree (decrease in SOH) of the battery 51 is stored. The battery usage fee is calculated after a battery with a battery identification code is installed in the electric vehicle 50. When the user of the electric vehicle 50 pays the battery usage fee, the battery usage fee may be initialized to 0. Preferably, the battery 51 for which the battery usage fee is calculated is a battery for which an application for the battery rental service described below has been made. Whether or not a battery rental application has been made can be identified by setting a rental flag in the battery identification information storage unit 61. The types of information recorded in the battery usage fee storage unit 66 can be added or changed.

[0080] Furthermore, the database 60 may include a guarantee flag storage unit 67. The guarantee flag storage unit 67 is an information storage area that stores a guarantee flag that is assigned when a performance management service is provided periodically for a predetermined period of time for the battery 51 mounted on the electric vehicle 50. The types of information recorded in the guarantee flag storage unit 67 can be added or changed.

[0081] Furthermore, the database 60 may include a billing information storage unit 68. The billing information storage unit 68 is an information storage area in which, when various battery services provided according to the present invention are provided for a fee, information such as an identification code of the battery 51 to be billed, a user identification code (ID) of the electric vehicle 50 in which the battery 51 is mounted, a billing amount, a payment method, and a payment date and time is recorded. The types of information recorded in the billing information storage unit 68 may be added or changed.

[0082] It is preferable that the information and / or data is stored in the database 60 in a manner that matches with appropriate identification information. The identification information may include at least one selected from the group including an electric vehicle model code, an electric vehicle identification code, a battery model code, a battery identification code, and a user identification code (ID).

[0083] In the present invention, the database 60 may preferably be a relational database. In this case, each of the above-mentioned storage units may be configured in the form of a table. Of course, each storage unit is not limited to being configured as a normal file database. Therefore, it is obvious that the database 60 can be constructed as any type of database known in the art, such as a relational database, a file directory database, etc. In addition, the storage units exemplified above are merely examples, and the types of information and data recorded and managed in the database 60 are not particularly limited.

[0084] Continuing to refer to FIG. 1 , the battery service server 30 may collect diagnostic analysis data related to the electric vehicle 50 from the charging station via the network 40 while the electric vehicle 50 is being charged at the charging station, and store the collected data in the database 60 .

[0085] Here, the diagnostic analysis data may include a speed change profile according to the state of charge of the electric vehicle 51, and / or a cumulative driving distance profile according to the cumulative discharge amount, and / or a battery operating characteristic profile according to the state of charge. The diagnostic analysis data may also include an electric vehicle model code and / or an electric vehicle identification code and / or a battery model code and / or a battery identification code as data identification information. The diagnostic analysis data may also optionally include travel route information of the electric vehicle 50.

[0086] Alternatively, the diagnostic analysis data may include at least one selected from the group including cumulative operating time by voltage section, cumulative operating time by current section, and cumulative operating time by temperature section related to the battery 51 of the electric vehicle 50 as cumulative operating characteristic information related to the battery 51.

[0087] Alternatively, the diagnostic analysis data may include at least one of the following accumulated driving characteristics information for the electric vehicle 50: accumulated driving time by speed section, accumulated driving time by driving area, and accumulated driving time by humidity section.

[0088] It will be appreciated that the diagnostic analysis data may further include other data sets indicative of the electrochemical operating characteristics of the battery 51, as desired, and that some of the data discussed above may be excluded depending on the level of the diagnostic analysis.

[0089] As described below, at least a portion of the diagnostic analysis data may be used to train an artificial intelligence model.

[0090] For collection of diagnostic analysis data, a communication device 20 may be provided within the charging station, and the communication device 20 may send and receive data to and from an electric vehicle controller 52 within the electric vehicle 50 .

[0091] The voltage, current and temperature information contained in the diagnostic analysis data may be collected by the electric vehicle controller 52 during the course of charging the battery 51 of the electric vehicle 50 at the charging station.

[0092] The charging station may communicate with the electric vehicle controller 52 to exchange information and / or data 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 by wireless communication between the charging station and the electric vehicle 50. To this end, the charging station and the electric vehicle 50 may include short-range wireless communication devices.

[0093] The charging station may transmit information and / or data collected from the electric vehicle 50 to the battery service server 30 via the network 40 according to a predefined communication protocol.

[0094] The electric vehicle controller 52 generates diagnostic analysis data and records it in the storage means 52a while the electric vehicle 50 is in operation or while the electric vehicle 50 is being charged at the charging station. When there is a request from the charging station, the electric vehicle controller 52 reads out the diagnostic analysis data recorded in the storage means 52a and transmits it to the communication device 20 included in the charging station via a data communication cable of the charging cable or through short-range wireless communication.

[0095] In another example, the battery service server 30 may collect diagnostic analysis data related to the battery 51 of the electric vehicle 50 from the communication device 20 included inside the electric vehicle 50 through the network 40 while the electric vehicle 50 is in operation, and store the collected diagnostic analysis data in the database 60. When a request for transmission of diagnostic analysis data is received from the battery service server 30 through the communication device 20, the electric vehicle control device 52 may read out the diagnostic analysis data recorded in the storage means 52a and transmit it to the battery service server 30 through the communication device 20.

[0096] In still another example, when the electric vehicle 50 is parked, the battery service server 30 may collect diagnostic analysis data related to the battery 51 of the electric vehicle 50 through the network 40 from the communication device 20 separately installed at the parking place, and store the collected diagnostic analysis data in the database 60. When there is a request for transmission of diagnostic analysis data from the battery service server 30 through the communication device 20 separately installed outside the electric vehicle 50, the electric vehicle control device 52 may read out the diagnostic analysis data recorded in the storage means 52a and transmit it to the battery service server 30 through the communication device 20.

[0097] According to one aspect, the battery service server 30 analyzes the cumulative operating time for each voltage section, the cumulative operating time for each current section, and the cumulative operating time for each temperature section of the battery 51 included in the diagnostic analysis data, generates frequency distribution data for each voltage, current, and temperature, and then matches it 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 to record it in the diagnostic analysis data storage unit 62 of the database 60.

[0098] According to one aspect, in the frequency distribution data, the variable may be voltage, current or temperature, and the frequency may be the cumulative operating time of the battery 51 at each variable.

[0099] FIG. 3 is a graph showing an example of frequency distribution data related to the voltage of battery 51, FIG. 4 is a graph showing an example of frequency distribution data related to the current of battery 51, and FIG. 5 is a graph showing an example of frequency distribution data related to the temperature of battery 51.

[0100] 3 to 5, the frequency distribution data may provide information on the accumulated operating time of the battery 51 for each voltage section, the accumulated operating time of the battery 51 for each current section, and the accumulated operating time of the battery 51 for each temperature section while the electric vehicle 50 is operated. The frequency distribution data may be used by the battery service server 30 to train an artificial intelligence model, which will be described later.

[0101] In another aspect, the battery service server 30 may analyze the cumulative driving time by speed section and / or the cumulative driving time by driving area and / or the cumulative driving time by humidity section of the electric vehicle 50 included in the diagnostic analysis data to generate frequency distribution data related to the driving characteristics of the electric vehicle 50, and then match it 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 to record it in the diagnostic analysis data storage unit 62 of the database 60.

[0102] In the frequency distribution data related to the operation characteristics, the variables may be the speed of the electric vehicle 50, the area in which the electric vehicle 50 operates, or the humidity of the area in which the electric vehicle 50 operates, and the frequency may be the cumulative operation time of the electric vehicle 50 for each variable.

[0103] FIG. 6 is a graph showing an example of frequency distribution data related to the speed of the electric train 50, FIG. 7 is a graph showing an example of frequency distribution data related to the area in which the electric train 50 operates, and FIG. 8 is a graph showing an example of frequency distribution data related to the humidity in the area in which the electric train 50 operates.

[0104] 6 to 8, the frequency distribution data may provide information related to the accumulated driving time of the electric vehicle 50 per speed section, the accumulated driving time per driving region, and the accumulated driving time per humidity section while the electric vehicle 50 is in operation. The region may be an administrative district within the country and / or overseas. In one example, the region may be, but is not limited to, a city. The frequency distribution data may be used by the battery service server 30 to train an artificial intelligence model, which will be described later.

[0105] In another aspect, when a predetermined condition is satisfied, the battery service server 30 may determine the degree of deterioration of the battery 51 using the operating characteristic profile of the battery 51 included in the diagnostic analysis data, and may match the degree of deterioration 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, and record the degree of deterioration in the diagnostic analysis data storage unit 62 of the database 60. As will be described later, the degree of deterioration stored in the diagnostic analysis data storage unit 62 may be used for learning an artificial intelligence model.

[0106] In one example, the battery service server 30 determines whether the operating characteristic profile of the battery 51 has been collected in a preset degradation estimation voltage section. To this end, the battery service server 30 may check the voltage distribution of the voltage profile according to the change in the charging state. If the result of this determination is "Yes", the battery service server 30 may determine a charge capacity change amount by integrating the current data measured in the degradation estimation voltage section, and may determine the ratio of the charge capacity change amount to the reference charge capacity change amount as the degradation degree. The reference charge capacity change amount is a charge capacity change amount exhibited while the battery 51 in the BOL state is charged in the degradation estimation voltage section, and the reference charge capacity change amount may be pre-recorded in the database 60 for each model of the battery 51.

[0107] In another example, the battery service server 30 may include a battery 51 operating characteristic profile SOC (SOC) included in the diagnostic analysis data. k , V k , I k , T k , and determines whether the battery 51 is being charged within a preset degradation estimation voltage range and whether multiple voltage data are measured under variable charging current conditions. k and current data I k If the result of this determination is "yes", the battery service server 30 may perform a linear regression analysis on the plurality of current and voltage data measured within the predetermined degradation degree estimation voltage interval to determine the average value of |dV / dI| as the internal resistance value of the battery 51, and may determine the ratio of the reference internal resistance value to the internal resistance value as the degradation degree of the battery 51. For application to this embodiment, the charging station may apply an AC charging current and / or a charging pulse having a different amplitude to the battery 51 while the battery 51 is being charged within the predetermined degradation degree estimation voltage interval. Then, a plurality of voltage data may be measured under a variable charging current condition. The reference internal resistance value is the internal resistance value of the battery 51 in the BOL state, and the reference internal resistance value may be recorded in advance in the database 60 for each battery model.

[0108] In yet another example, the battery service server 30 may determine the deterioration degree of the battery 51 in real time using an extended Kalman filter. A method for determining the deterioration degree using an extended Kalman filter is disclosed in Korean Patent Publication No. 2007-0074621, which may be incorporated herein as part of the present invention. The disclosed method is a method for determining the deterioration degree in real time from the voltage, current, and temperature of a battery using an extended Kalman filter, which is an adaptive algorithm, and is particularly useful when applied to the present invention.

[0109] Preferably, the battery service server 30 may determine the degree of deterioration of the battery 51 of the electric vehicle 50 based on big data using the operating characteristic profile of the battery 51 included in the diagnostic analysis data and the deterioration degree lookup table storage unit 64 of the database 60.

[0110] That is, the battery service server 30 identifies the battery model by referencing the battery identification information storage unit 61 using the battery identification code included in the diagnostic analysis data, and then refers to the degradation degree lookup table storage unit 64 to identify the voltage profile information by degradation degree corresponding to the same model, and identifies the voltage profile having the highest similarity to the voltage profile included in the diagnostic analysis data, and determines the degradation degree corresponding to the identified voltage profile as the degradation degree of the battery 51.

[0111] In yet another aspect, the battery service server 30 may determine the deterioration degree of the battery 51 using an artificial intelligence model.

[0112] In this case, the degree of degradation determined from the operating characteristic profile of the battery 51 described above constitutes part of the big data used to train the artificial intelligence model, and the actual degree of degradation of the battery 51 can be determined by the artificial intelligence model trained based on the big data.

[0113] The reason is that the degree of degradation calculated from the recent operating characteristic profile of the battery 51 has the limitation that it can be determined only when certain conditions are met, and the past usage history of the battery 51 and the operating history of the electric vehicle 50 are not fully taken into account, so the degree of degradation determined by an artificial intelligence model trained based on big data is more accurate and reliable.

[0114] Preferably, the artificial intelligence model is a software algorithm coded in a programming language and may be an artificial neural network, although the present invention is not limited thereto.

[0115] FIG. 9 illustrates the structure of an artificial neural network 100 according to one embodiment of the present invention.

[0116] 9, an artificial neural network 100 includes an input layer 101, a number of hidden layers 102, and an output layer 103. The input layer 101, the number of hidden layers 102, and the output layer 103 each include a number of nodes.

[0117] When the battery service server 30 trains the artificial neural network 100 or when it determines the degree of degradation of the battery 51 using the artificial neural network 100, it may input frequency distribution data generated from the cumulative information of the operating characteristics of the battery 51 (FIGS. 3 to 5), frequency distribution data generated from the cumulative information of the driving characteristics of the electric vehicle 50 (FIGS. 6 to 8), and data included in the operating characteristic profile of the battery 51 to the input layer 101.

[0118] The operational characteristic accumulated information input (assigned) to the nodes of the input layer 101 may include a first accumulated time value for each voltage section and / or a second accumulated time value for each current section and / or a third accumulated time value for each temperature section. The first to third accumulated time values ​​are ratios based on the total usable time corresponding to the guaranteed life of the battery 51, and are preferably normalized. For example, if the accumulated time value in a specific voltage section is 1,000 hours and the total usable time is 20,000 hours, the normalized accumulated time value is 1 / 20 (0.05).

[0119] The number of first cumulative time values ​​may correspond to the number of voltage intervals, the number of second cumulative time values ​​may correspond to the number of current intervals, and the number of third cumulative time values ​​may correspond to the number of temperature intervals. For example, if there are 5 voltage intervals, 9 current intervals, and 10 temperature intervals, the numbers of the first to third cumulative time values ​​are 5, 9, and 10, respectively.

[0120] Desirably, the input layer 101 may include a number of nodes corresponding to the number of first cumulative time values ​​and / or the number of second cumulative time values ​​and / or the number of third cumulative time values.

[0121] The driving characteristic accumulated information input (assigned) to the nodes of the input layer 101 may include a fourth accumulated time value for each speed section and / or a fifth accumulated time value for each driving region and / or a sixth accumulated time value for each humidity section. The fourth to sixth accumulated time values ​​are preferably normalized as a ratio based on the total available time corresponding to the guaranteed life of the battery 51. For example, if the accumulated time value in a specific speed section is 2,000 hours and the total available time is 20,000 hours, the normalized accumulated time value is 1 / 10 (0.1).

[0122] The number of the fourth cumulative time values ​​may correspond to the number of speed sections, the number of the fifth cumulative time values ​​may correspond to the number of regions in which the electric vehicle 50 operates, and the number of the sixth cumulative time values ​​may correspond to the number of humidity sections. For example, if the number of speed sections is 8, the number of operating regions is 20, and the number of temperature sections is 6, the numbers of the fourth to sixth cumulative time values ​​are 8, 20, and 6, respectively.

[0123] Desirably, the input layer 101 may include a number of nodes corresponding to the number of the fourth cumulative time values ​​and / or the number of the fifth cumulative time values ​​and / or the number of the sixth cumulative time values.

[0124] The operating characteristic profile data of the battery 51 input (assigned) to the nodes of the input layer 101 may include voltage data and temperature data measured for each state of charge. Since both the voltage and temperature of the battery 51 are measured for each SOC, 100 nodes may be assigned for input of voltage data and another 100 nodes may be assigned for input of temperature data.

[0125] Here, 100 is the number of nodes corresponding to SOC from 1% to 100% if the SOC changes from 0% to 100% in 1% increments. If the voltage and temperature of battery 51 are measured in the SOC range of 31 to 50%, voltage data may be input to 20 nodes corresponding to 31 to 50%, and temperature data may be input to another 20 nodes corresponding to 31 to 50%. Then, no voltage data or temperature data may be input to nodes corresponding to the SOC range of 1 to 30% and the SOC range of 51 to 100%, and 0 may be assigned.

[0126] Meanwhile, voltage data and temperature data measured at a SOC that includes decimal points may be converted to voltage data and temperature data at a nearby SOC that does not include decimal points using an interpolation or extrapolation method. In some cases, temperature data may be excluded from the input data to reduce the amount of learning calculations of the artificial neural network. In this case, the input layer 101 may not include a node to which temperature data is input.

[0127] The output layer 103 may include a node to output the degeneration degree information of the battery 51. As shown in FIG. 9, when the artificial neural network 100 is designed based on a stochastic model, the output layer 103 may include a plurality of nodes for outputting a probability distribution of the degeneration degree of the battery 51.

[0128] In one example, if the artificial neural network 100 is designed to determine the degree of degeneration from 71% to 100% in 1% increments, the output layer 103 may include a total of 30 nodes. In this case, the degree of degeneration corresponding to the node that outputs the highest probability value among the 30 nodes may be determined as the degree of degeneration of the battery 51. For example, if the 10th node has the highest probability of being output, the degree of degeneration of the battery 51 may be determined as 80%. Alternatively, the probability output from each node may be multiplied by the corresponding degree of degeneration to obtain a sum, and then the average of the sum may be determined as the degree of degeneration. It will be obvious to those skilled in the art that the number of nodes may be further increased to improve the accuracy of the degree of degeneration.

[0129] Alternatively, if the artificial neural network 100 is designed based on a deterministic model, the output layer 103 may include at least one node for directly outputting the degree of degradation of the battery 51 .

[0130] The number of hidden layers 102 interposed between the input layer 101 and the output layer 103 and the number of nodes contained in each hidden layer 102 can be appropriately selected taking into account the amount of learning calculation of the artificial neural network 100 and the accuracy and reliability of the artificial neural network 100.

[0131] In the artificial neural network 100, a sigmoid function may be used as an activation function, or any of a variety of activation functions known in the art, such as a sigmoid linear unit (SiLU) function, a rectified linear unit (ReLu) function, a softplus function, an exponential linear unit (ELU) function, a square linear unit (SQLU) function, etc.

[0132] In the artificial neural network 100, the initial values ​​of the connection weights and biases between the nodes can be set randomly, and the connection weights and biases can be optimized during the training process of the artificial neural network.

[0133] In one embodiment, the artificial neural network may be trained by a backpropagation algorithm, and the connection weights and biases may be optimized by an optimizer while the artificial neural network is trained.

[0134] In one embodiment, the optimizer may be a Stochastic Gradient Descent (SGD) algorithm, a Nesterov Accelerated Gradient (NAG) algorithm, a Momentum algorithm, a Nadam algorithm, an Adagrad algorithm, an RMSProp algorithm, an Adadelta algorithm, an Adam algorithm, or the like.

[0135] Battery service server 30 may periodically iteratively train artificial neural network 100 using data stored in diagnostic analysis data storage portion 62 of database 60 .

[0136] To this end, the battery service server 30 may collect diagnostic analysis data from the electric vehicle controllers 52 of numerous electric vehicles 50 using the methods described above, and accumulate and record the data in the database 16 .

[0137] The learning data of the artificial neural network 100 includes learning input data and learning output data. The learning input data may include frequency distribution data generated from accumulated driving characteristic information of the electric vehicle 50, frequency distribution data generated from accumulated operating characteristic information of the battery 51, and operating characteristic profile data. In addition, the learning output data includes the degree of degradation of the battery 51 determined using the operating characteristic profile. Various methods for determining the degree of degradation from the operating characteristic profile have been described above.

[0138] Preferably, the diagnostic analysis data used for learning may be matched with the model code of the electric vehicle 50 and / or the identification code of the electric vehicle 50 and / or the model code of the battery 51 and / or the identification code of the battery 51, and recorded in the diagnostic analysis data storage unit 62 of the database 60. Thus, the diagnostic analysis data storage unit 62 may store a large amount of learning data collected from electric vehicles 50 of the same model equipped with the same model of battery 51. Furthermore, since the learning data is continuously collected through the electric vehicle control device 52, the amount of the learning data may gradually increase.

[0139] Preferably, the battery service server 30 may train an artificial neural network separately for each model of electric vehicle 50 and / or model of battery 51 in order to reduce the amount of computation required to train the artificial neural network 100 through distributed processing of data and to improve the reliability of the output predicted by the artificial neural network 100.

[0140] That is, when the battery service server 30 periodically trains the artificial neural network 100, it may extract only the learning data having the same model of the electric vehicle 50 and / or the same model of the battery 51 from the learning data stored in the diagnostic analysis data storage unit 62, and independently train the artificial neural network 100 dedicated to the corresponding model of the electric vehicle 50 and / or the model of the battery 51. In addition, when the amount of newly collected learning data for the model of the electric vehicle 50 and / or the model of the battery 51 increases to or above a reference value, the battery service server 30 may resume the learning of the corresponding artificial neural network 100, thereby further improving the accuracy of the artificial neural network 100.

[0141] On the other hand, if there are too many variations in the frequency distribution data (see FIG. 7) generated from the cumulative operation time information by operation area among the cumulative operation characteristic information of the electric vehicle 50, the artificial neural network 100 may be trained individually for each wide area grouped into multiple areas.

[0142] As an example, assume that there are a total of 100 models of electric vehicles 50, a total of 10 models of batteries 51 mounted on the electric vehicles 50, and a total of 1000 cities in which the electric vehicles 50 operate, both domestically and overseas. In this case, the battery service server 30 may group the cities according to a predetermined criterion and train a total number of artificial neural networks corresponding to a total of "100 x 10 x (number of regional groupings)". In one example, the grouping of cities may be performed on a country basis. In another example, the grouping may be performed on a predetermined number of adjacent cities within the same country basis.

[0143] In this case, when the battery service server 30 trains the artificial neural network 100, it may extract only the learning data stored in the diagnostic analysis data storage unit 62, in which the model of the electric vehicle 50 and / or the model of the battery 51 are the same and the variable (city) of the frequency distribution data for the driving area is the same, and independently train the artificial neural network 100 dedicated to the driving area and / or the model of the electric vehicle 50 and / or the model of the battery 51. In addition, when the amount of new learning data in which the driving area and / or the model of the electric vehicle 50 and / or the model of the battery 51 is the same increases to or above a reference value, the battery service server 30 may resume the learning of the corresponding artificial neural network 100, thereby further improving the accuracy of the artificial neural network 100.

[0144] In the present invention, the artificial intelligence model is not limited to an artificial neural network. Therefore, in addition to the artificial neural network, a Gaussian Process Model, etc. may be used. When learning a classification model related to battery degradation information, a Support Vector Machine (SVM), a K-Nearest Neighbor Algorithm, a Naive-Bayes Classifier, etc. may be used. If there is a problem with the reliability of the degradation information used in learning the artificial intelligence model, a K-Means Clustering, etc. may be used as an auxiliary means for obtaining degeneration learning information.

[0145] Software related to artificial intelligence algorithms is well known, and many software products have been commercialized. Since artificial intelligence algorithms are not dependent on the type of learning data, it is obvious to those skilled in the art to select the most suitable artificial intelligence software for learning the correlation between diagnostic analysis data and degeneration degree from among the artificial intelligence algorithms known in the art in carrying out the present invention.

[0146] Meanwhile, the battery service server 30 may include an auxiliary artificial neural network trained using cumulative information on operational characteristics for each cycle and profile information on operational characteristics for each cycle provided by a battery manufacturer.

[0147] FIG. 10 illustrates the structure of an auxiliary artificial neural network 100' according to one embodiment of the present invention.

[0148] 10, an auxiliary artificial neural network 100' includes an input layer 101', a number 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 FIG 9, except that the input layer 101' does not have a node to which data corresponding to the accumulated operational characteristics information of the electric vehicle 50 is input.

[0149] The auxiliary artificial neural network 100' may be utilized to determine the degradation of the battery 51 if the artificial neural network 100 has not been fully trained.

[0150] The battery service server 30 may be communicatively coupled to a battery data providing server 70 via the network 40 to collect data used to train the auxiliary artificial neural network 100'.

[0151] Preferably, the battery data providing server 70 may be installed in a battery manufacturer. The battery data providing server 70 may transmit cumulative operating characteristic information for each cycle, operating characteristic profile information for each cycle, and deterioration degree of the battery 51 for each cycle, obtained from a charge / discharge cycle experiment on the battery 51 mounted on the electric vehicle 50, together with a model code and an identification code of the battery 51, to the battery service server 30 via the network 40.

[0152] The charge-discharge cycle experiment is an experiment in which the battery 51 is repeatedly charged and discharged a predetermined number of times under various charge-discharge conditions using equipment called a charge-discharge simulator. The charge-discharge cycle experiment is an experiment that is essential for battery manufacturers to conduct before the battery 51 is commercialized. It is preferable that the charge-discharge conditions imitate various operating conditions (mountain driving, rough road driving, urban driving, highway driving, etc.) and climatic conditions (temperature, humidity, etc.) of the electric vehicle 50.

[0153] The charge / discharge simulator is an automated experimental device that combines a control computer, a charge / discharge device, and a temperature / humidity control chamber. The charge / discharge simulator accumulates the accumulated operating time for each voltage section and / or the accumulated operating time for each current section and / or the accumulated operating time for each temperature section every time a charge / discharge cycle is performed, to generate accumulated operating characteristic information, and measures or predicts SOC and / or voltage and / or current and / or temperature during charging to generate operating characteristic profile information and record it in a storage means.

[0154] In addition, when the charging of each cycle is completed, the charge / discharge simulator may determine the degradation degree of the battery 51 based on the charging completion point. The degradation degree may be calculated from the change in charge capacity determined by an ampere count method in a predetermined charging voltage range or the internal resistance of the battery obtained by linear regression analysis of voltage and current data measured in a predetermined charging voltage range, as described above.

[0155] The battery data providing server 70 may include a database 71 that stores data obtained by charge / discharge cycle experiments. Every time a charge / discharge cycle is performed on the battery 51, the battery data providing server 70 may match the accumulated operating characteristic information for each cycle, the operating characteristic profile information for each cycle, and the degradation degree for each cycle with the model code and / or the identification code of the battery 51 and store the same in the database 71.

[0156] The battery data providing server 70 may periodically transmit auxiliary learning data including the cumulative operating characteristic information for each cycle, the operating characteristic profile information for each cycle, and the degree of degradation for each cycle stored in the database 71 to the battery service server 30 via the network 40 together with the identification code and / or model code of the battery 51. The number of auxiliary learning data corresponds to the number of times a charge / discharge cycle experiment has been performed. For example, if 200 charge / discharge cycle experiments have been performed on a specific model battery, the number of auxiliary learning data is 200.

[0157] The battery service server 30 may match the supplementary learning data transmitted from the battery data providing server 70 with the identification code and / or model code of the battery 51 and record it in the diagnostic analysis data storage unit 62 of the database 60 .

[0158] Preferably, among the auxiliary learning data, information relating to the cumulative operating time per voltage section and / or the cumulative operating time per current section and / or the cumulative operating time per temperature section included in the cumulative operating characteristic information may be converted into frequency distribution data and stored in the diagnostic analysis data storage unit 62 of the database 60.

[0159] After the auxiliary training data is stored in database 60, battery service server 30 may use the auxiliary training data to train an auxiliary artificial neural network 100' for each battery model.

[0160] The structure of the auxiliary artificial neural network 100' is similar to the structure of the artificial neural network 100 shown in Figure 9. The difference is that the nodes to which the frequency distribution data generated from the accumulated operational characteristics information of the electric vehicle 50 are input are deactivated. However, the training method and remaining features of the auxiliary artificial neural network 100' are substantially the same as those described above.

[0161] The battery service server 30 determines the degree of degradation of the battery 51 by using, in a complementary manner, the auxiliary artificial neural network 100' trained using auxiliary learning data transmitted from the battery data providing server 70 and the artificial neural network 100 trained using learning data provided from a plurality of electric vehicle control devices 52, and can provide the control factor used for controlling the charging and discharging of the battery 51 to the control system 15 of the electric vehicle 50 based on the determined degree of degradation.

[0162] In one example, a weighted average of the degeneration degree determined through the artificial neural network 100 and the degeneration degree determined through the auxiliary artificial neural network 100' may be determined as the degeneration degree of the battery 51. The weighting value assigned to each degeneration degree may be adaptively adjusted according to the degree of learning of the artificial neural network 100. Preferably, as the amount of learning of the artificial neural network 100 increases, the weighting value for the degeneration degree determined through the artificial neural network 100 may be increased proportionally.

[0163] Preferably, the battery service server 30 may transmit update information of the charge / discharge control logic to the communication device 20 via the network 40 when the deterioration level of the battery 51 increases above a critical value, for example, when the SOH drops below a critical value.

[0164] The update information of the charge / discharge control logic corresponding to the degree of degradation may be predefined for each electric vehicle model and / or battery model and recorded in the database 60.

[0165] Preferably, when the communication device 20 receives update information related to the charge / discharge control logic from the battery service server 30, it transmits the update information of the charge / discharge control logic to the electric vehicle controller 52 of the electric vehicle 50. Then, the electric vehicle controller 52 can update factors referenced by the existing control logic by referring to the update information of the charge / discharge control logic.

[0166] In the present invention, the update information of the charge / discharge control logic may include at least one selected from the magnitude of the charge current applied to each charge state section, 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 charge state, and an internal resistance map for each charge state.

[0167] Alternatively, when the battery 51 is pulse charged or discharged, the update information of the charge / discharge control logic may 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.

[0168] Alternatively, when the battery 51 is step-charged, the update information of the charge / discharge control logic may include information regarding the magnitude of the charge current to be applied for each charging state interval.

[0169] Alternatively, when the battery 51 is charged in CC (Constant Current) / CV (Constant Voltage) mode, the update information of the charge / discharge control logic may include at least one selected from the magnitude of the current in the constant current charging (CC) mode, the cutoff voltage at which the constant current charging (CC) mode ends, and the magnitude of the voltage in the constant voltage charging (CV) mode.

[0170] In another aspect, the battery service server 30 may receive an identification code of the battery 51 installed in the electric vehicle 50 and application information related to the battery performance management service through a user interface provided through the electric vehicle control device 52.

[0171] Here, the battery performance management service refers to a service in which the electric vehicle control device 52 transmits diagnostic analysis data of the battery 51 to the battery service server 30 and receives update information related to the control logic of the battery 51 from the battery service server 30 on a regular or irregular basis.

[0172] The user interface is a graphic user interface, and may be provided through an integrated information display 53 of the electric car 50. The integrated information display 53 is provided next to the driver's seat in the electric car 50, and is a computer display that manages the control of the electric car 50 and displays various operation information of the electric car 50. The electric car control device 52 may provide various user interfaces required for implementing the present invention through the integrated information display 53.

[0173] In the present invention, the battery performance management service may be provided free of charge or for a fee.

[0174] When application information for the battery performance management service is received via the network 40, the battery service server 30 may be configured to determine the degree of degradation using a current integration method, a linear regression analysis on the voltage / current data, an extended Kalman filter or a pre-trained artificial intelligence model each time diagnostic analysis data of the corresponding battery 51 is collected, determine whether or not the charge / discharge control logic needs to be updated, and if an update is necessary, generate update information related to the charge / discharge control logic and provide it to the electric vehicle control device 52.

[0175] To this end, the battery service server 30 may set and store a service use flag for the battery 51 for which a battery performance management service has been requested in the battery identification information storage unit 61. That is, for a battery for which a battery performance management service has been requested, the battery service server 30 may search for the battery identification code and then set a service use flag.

[0176] Alternatively, the battery service server 30 may be configured to further receive payment information at the stage of receiving application information for the battery performance management service, and to charge for generating and providing update information for the charge / discharge control logic.

[0177] Billing may take any form, such as periodic billing or billing for a specific period (monthly, quarterly, yearly, etc.). Billing methods may be credit cards, electronic money, virtual currencies (Bitcoin, Ethereum), etc. The battery service server 30 may record billing information for the battery performance management service in the billing information storage unit 68 together with a user identification code (ID) of the electric vehicle 50 and / or a battery identification code. The billing information may include the user identification code (ID) of the electric vehicle 50, the battery identification code, payment cycle, payment amount, payment period, payment method information, payment date and time, and a billing success flag.

[0178] Meanwhile, the application for the battery performance management service can be made through a user interface outputted from a mobile communication terminal 90 owned by the user of the electric vehicle 50, without using the electric vehicle control device 52.

[0179] Preferably, the mobile communication terminal 90 is a smartphone, 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 on the mobile communication terminal 90, and a user can download the application via the network 40 and install it in his or her mobile communication terminal 90. Hereinafter, the application installed in the mobile communication terminal 90 is referred to as "battery management software."

[0180] A user can apply for the battery performance management service after executing the battery management software in the mobile communication terminal 90. At this time, it is obvious that the user can input payment information.

[0181] According to yet another aspect, the battery service server 30 may further provide other additional services in addition to the battery performance management service. The additional services may be provided as paid or free services.

[0182] For example, the battery service server 30 may calculate the remaining life of the battery 51 by referring to the deterioration degree information of the battery 51, and output it as a graphic through the battery management software. Of course, information related to the remaining life may be output to the integrated information display 53 of the electric vehicle 50 through the electric vehicle control device 52. The remaining life may be calculated by referring to a lookup table that defines the remaining life according to the deterioration degree. The remaining life lookup table may be defined for each electric vehicle model and / or battery model, and may be pre-recorded in the battery residual value storage unit 65 of the database 60.

[0183] In addition, the battery service server 30 may calculate the battery residual value corresponding to the deterioration degree of the battery 51 by referring to a residual value lookup table that defines the residual value according to the deterioration degree of the battery 51, and output it as a graphic through the battery management software. The residual value means a relative value based on the launch price of the battery. The residual value may be expressed as a percentage based on the launch price of the battery. Information related to the residual value may be output to the integrated information display 53 of the electric vehicle 50 through the electric vehicle control device 52. The residual value lookup table may be predefined for each electric vehicle model and / or battery model, and recorded in the battery residual value storage unit 65 of the database 60.

[0184] In addition, the battery service server 30 may analyze operation information of the electric vehicle 50, calculate the remaining battery life on the condition that the user's current driving habits are maintained, and transmit the remaining battery life to the electric vehicle control device 52 via the network 40. Then, the electric vehicle control device 52 may display the remaining battery life information through the integrated information display 53 of the electric vehicle 50. In another example, the battery service server 30 may transmit the remaining battery life to battery management software operated by the mobile communication terminal 90. Then, the battery management software may output the remaining battery life information through the display of the mobile communication terminal 90.

[0185] The driving habits may be analyzed using a speed change profile according to the state of charge included in the diagnostic analysis data collected from the electric vehicle 50. In one example, the battery service server 50 may analyze the speed change profile according to the state of charge, accumulate and count the number of sudden accelerations, and classify the driving habits into a plurality of types according to the number of sudden accelerations. The presence or absence of sudden acceleration is determined based on whether the speed change is greater than a critical value with respect to the change in the state of charge.

[0186] The battery service server 30 may predefine the rate of increase of the degradation level according to the type of driving habit. That is, the battery service server 30 analyzes the driving information of the electric vehicle 50 recorded in the diagnosis analysis data storage unit 62 of the database 60, calculates the cumulative number of sudden accelerations, determines the type of driving habit of the user of the electric vehicle 50 from a plurality of driving habit types, and determines the predefined rate of increase of the degradation level corresponding to the driving habit type. Then, the battery service server 30 may increase the degradation level (i.e., decrease the SOH) according to the rate of increase of the degradation level determined according to the type of driving habit based on the current degradation level of the battery 51, and determine the period until the degradation level increases to a critical value or more as the remaining life of the battery. Also, the battery service server 30 may 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 operated by the mobile communication terminal 90. Then, the electric vehicle control device 52 may display the remaining life information of the battery 51 predicted for each driving habit type through the integrated information display 53 of the electric vehicle 50. Also, the battery management software may display the remaining life information of the battery 51 predicted for each driving habit type through the display of the mobile communication terminal 90. The user of the electric vehicle 50 may receive not only the remaining life information of the battery 51 estimated from the current driving habit, but also the remaining life information of the battery 51 estimated from other driving habit types. This may guide the user of the electric vehicle 50 to be able to drive more economically. The rate of increase in the deterioration degree according to the driving habit type may be predefined for each battery model and recorded in the database 60.

[0187] In another aspect, the battery 51 included in the electric vehicle 50 may be a rental battery. In this case, a rental billing server operated by a battery rental company may be communicatively connected to the battery service server 30 via the network 40 as one embodiment of the external server 80.

[0188] In this embodiment, the external server 80 (rental billing server) may receive a battery rental service application from a user of the electric vehicle 50 via the network 40.

[0189] An application for the battery rental service can be made through a user interface provided by the electric vehicle control device 52 through the integrated information display 53 of the electric vehicle 50 or through a user interface provided by battery management software operated on the mobile communication terminal 90.

[0190] The rental service application information may include a user identification code (ID) of the electric vehicle 50, model codes of the electric vehicle 50 and the battery 51, identification codes of the electric vehicle 50 and the battery 51, rental time of the battery 51, rental usage fee, payment information, and the like.

[0191] An application for the battery rental service can be made at the stage of purchasing the electric vehicle 50, or when replacing the battery of the electric vehicle 50. Of course, an application for the battery rental service can also be made to change the usage mode of the battery 51 to rental while the electric vehicle 50 is in use. In this case, the periodic usage fee for the rental of the battery 51 can be deducted from the price of the battery paid when purchasing a new vehicle, and when the rental usage time ends, the user of the electric vehicle 50 can receive a refund of the cost corresponding to the residual value of the battery, or can pay it as an initial deposit when renting a new battery.

[0192] The external server 80 (rental billing server) transmits the battery identification code for which a rental service application has been made to the battery service server 30 via the network 40. When a rental service is applied for the first time, the external server 80 (rental billing server) may transmit the battery model code, electric vehicle identification code, payment information, etc. together with the battery identification code to the battery service server 30. Then, the battery service server 30 records the battery identification code for which a rental service has been applied in the battery identification information storage unit 61 of the database 60 and sets a rental flag indicating the rental status. If the battery identification code has already been registered in the database 60, only the rental flag setting step may be performed. It is obvious that when a battery rental service is applied for, various information including the accepted payment information is recorded in the database 60 and can be maintained and updated.

[0193] If the battery 51 installed in the electric vehicle 50 is a rental battery, the battery service server 30 may further collect information related to the cumulative charge / discharge amount of the battery together with diagnostic analysis data of the battery 51 from the electric vehicle control device 52, and record it in the cumulative charge / discharge amount storage unit 63 of the database 60.

[0194] In addition, the battery service server 30 may calculate the usage fee for the battery 51 included in the electric vehicle 50 based on the accumulated charge / discharge amount and the change in degradation degree of the battery 51, and transmit it to the electric vehicle control device 52 or the battery management software operated by the user's mobile communication terminal 90. Then, the electric vehicle control device 52 may display information related to the usage fee for the battery 51 through the integrated information display 53 of the electric vehicle 50. In addition, the battery management software may display information related to the usage fee for the battery 51 through the display of the mobile communication terminal 90.

[0195] The rental battery usage fee may be determined by first calculating the usage fee by multiplying the cumulative charge / discharge amount corresponding to the billing period by the cost per 1 kW, and then adding the additional cost due to the degree of deterioration increase during the billing period to the first calculated cost. The additional cost due to the increase in deterioration may be preset for each battery model. The additional cost is taken into consideration because the residual value of the battery decreases due to depreciation as the degree of deterioration increases (i.e., as the SOH decreases).

[0196] The battery service server 30 may periodically, for example, at the end of each month, determine the usage fee for the battery 51, and then record the battery usage fee information for the corresponding month together with the battery identification code for each battery 51 for which a rental service has been applied in the battery usage fee storage unit 66 of the database 60.

[0197] The external server 80 (rental billing server) of the battery rental company periodically connects to the battery service server 30 through the network 40, receives usage fee information of the battery 51 for which a rental service has been applied, and then transmits 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 may output a payment request screen through the integrated information display 53 of the electric vehicle 50 to request the user to make a payment. Similarly, the battery management software may output a payment request screen through the display of the mobile communication terminal 90 to request the user to make a payment. The payment of the usage fee of the battery 51 may be made by a payment method known in the art, such as a credit card payment, a bank transfer payment, an electronic money payment, or a virtual currency payment. If the user's payment method information is registered in advance, the payment of the usage fee may be made automatically.

[0198] In addition, when the user completes the payment, the external server 80 (rental billing server) transmits a payment completion flag to the battery service server 30 via the network 40. Then, the battery service server 30 initializes the usage fee for the battery 51 for which the usage fee payment has been completed to 0.

[0199] According to yet another aspect, an insurance company server of an insurance company may be connected to the battery service server 30 as another embodiment of an external server 80 .

[0200] The external server 80 (insurance company server) is a server that is accessed when a user of the electric vehicle 50 wishes to apply for 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 through the integrated information display 53 of the electric vehicle 50, or through a user interface of battery management software operated by the mobile communication terminal 90. The user of the electric vehicle 50 can also access the external server 80 (insurance company server) using a computer or a browser installed on the mobile communication terminal 90.

[0201] When receiving an insurance application from a user of the electric vehicle 50, the external server 80 (insurance company server) may also receive an electric vehicle identification code (vehicle unique number). 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 refers to the battery identification information storage unit 61 of the database 60, reads out the battery identification code stored by matching with the electric vehicle identification code, maps the residual value matched with the battery identification code in the battery residual value storage unit 65 of the database 60, and transmits the mapped battery residual value information to the external server 80 (insurance company server) through the network 40.

[0202] The battery service server 30 may charge for the external server 80 (insurance company server) inquiring about the battery remaining value information. Accordingly, the battery service server 30 may be configured to store the identification code of the insurance company that requested the battery remaining value information and the charging information for the provision of the remaining value information in the charging information storage unit 68 of the database 60.

[0203] The external server 80 (insurance company server) receives information on the battery residual value from the battery service server 30 and then calculates the residual value of the electric vehicle 50 excluding the battery 51. The residual value of the electric vehicle 50 may be determined taking into consideration the degree of deterioration and the period of use. In addition, the external server 80 (insurance company server) may calculate the price of the entire electric vehicle 50 by adding up the battery residual value and the residual value of the electric vehicle 50, calculate the substitute payment insurance money based on the calculated price, and transmit it to the electric vehicle control device 52 of the electric vehicle 50 or the battery management software operated by the mobile communication terminal 90 via the network 40. Then, the electric vehicle control device 52 may display information on the substitute payment insurance money through the integrated information display 53 of the electric vehicle 50. In addition, the battery management software may display information on the substitute payment insurance money through the display of the mobile communication terminal 90.

[0204] The user can check the insurance payment information displayed on the integrated information display 53 of the electric vehicle 50 or the display of the mobile communication terminal 90, and then transmit the automobile insurance application information to the external server 80 (insurance company server).

[0205] The membership application information may include the vehicle number of the electric vehicle 50, the model and year of the electric vehicle 50, the user's name, resident number, address, contact information (phone number, email address, etc.), payment method, payment information, and the like.

[0206] In some cases, when a user of the electric vehicle 50 wishes to subscribe to automobile insurance, the external server 80 (insurance company server) may provide a discount event on the insurance premium on the condition that the user subscribes to the battery performance management service provided by the battery service server 30.

[0207] According to another aspect, the used electric vehicle e-commerce server may be connected to the battery service server 30 through the network 40 as yet another embodiment of the external server 80. The external server 80 (e-commerce server) may receive an electric vehicle identification code (vehicle specific number) input by the user of the electric vehicle 50 in the process of registering the electric vehicle 50 as a sales item. The external server 80 (e-commerce server) may be connected using a user interface provided by the electric vehicle control device 52 through the integrated information display 53 of the electric vehicle 50, or using battery management software operated by the mobile communication terminal 90. The external server 80 (e-commerce server) may also be connected by the user of the electric vehicle 50 using a browser installed on a computer or the mobile communication terminal 90.

[0208] When receiving a sales application for the electric vehicle 50 from a user of the electric vehicle 50, the external server 80 (electronic commerce server) may also receive an electric vehicle identification code (vehicle unique number). Then, the external server 80 (electronic commerce server) transmits the electric vehicle identification code to the battery service server 30 through the network 40. Then, the battery service server 30 refers to the battery identification information storage unit 61 of the database 60, reads out the battery identification code matched and stored therein, maps the residual value matched with the battery identification code in the battery residual value storage unit 65 of the database 60, and transmits the mapped battery residual value information to the external server 80 (electronic commerce server) through the network 40.

[0209] The battery service server 30 may charge for an external server 80 (electronic commerce server) inquiring about battery remaining value information. Accordingly, the battery service server 30 may be configured to store in the charging information storage unit 68 of the database 60 an identification code of the electronic commerce company that requested the battery remaining value information and charging information for providing the remaining value information.

[0210] The external server 80 (electronic commerce server) receives information on the battery residual value from the battery service server 30 and then calculates the residual value of the electric vehicle 50 according to the period of use of the electric vehicle 50. In addition, the external server 80 (electronic commerce server) calculates the second-hand price of the electric vehicle 50 by adding up the battery residual value and the residual value of the electric vehicle 50, and transmits the second-hand price as recommended selling price information of the electric vehicle 50 to the electric vehicle control device 52 of the electric vehicle 50 or the battery management software operated by the mobile communication terminal 90. Then, the electric vehicle control device 52 may output the recommended selling price information of the electric vehicle 50 through the integrated information display 53 of the electric vehicle 50. In addition, the battery management software may output the recommended selling price information of the electric vehicle 50 through the display of the mobile communication terminal 90.

[0211] After checking the recommended selling price information of the electric vehicle 50, the user may transmit used-sale application information of the electric vehicle 50 to the external server 80 (electronic commerce server) through the network 40. The used-sale application may be made through a user interface provided by the electric vehicle control device 52 through the integrated information display 53 of the electric vehicle 50. In addition, the used-sale application may be made through a user interface provided by the battery management software through the display of the mobile communication terminal 90. In addition, the used-sale application may be made through a web page provided by the external server 80 (electronic commerce server) or a dedicated mobile application provided by the external server 80 (electronic commerce server).

[0212] The second-hand sales application information may include the vehicle number of the electric vehicle 50, the model and year of the electric vehicle 50, user identification information (ID), contact information (telephone number, email address, etc.), the selling price of the electric vehicle 50, and the like.

[0213] In some cases, when a user of an electric vehicle 50 applies for the sale of the electric vehicle 50, the external server 80 (electronic commerce server) may connect to the battery service server 30 to inquire whether the battery of the electric vehicle 50 for which the sale is applied is subscribed to a performance management service and the subscription period, and may raise the price of the electric vehicle 50 by a predetermined rate.

[0214] According to another aspect, a warranty certification server of a battery warranty company may be connected to the battery service server 30 as yet another embodiment of the external server 80. The warranty certification server may be provided in a battery warranty company. The external server 80 (warranty certification server) is a server to which a computer of a warranty certification requester connects in the process of authenticating whether the battery 51 installed in the electric vehicle 50 is guaranteed by the manufacturer during the maintenance process of the electric vehicle 50, etc.

[0215] The electric vehicle identification code or the battery identification code printed on the surface of the battery 51 may be input to the external server 80 (Warlandy authentication server) from the terminal of a Warlandy authentication requester who wishes to confirm whether performance management of the battery installed in the electric vehicle 50 (i.e., updating of charge / discharge control logic based on battery degradation diagnosis) has been continuously performed. The authentication requester may be a mechanic of the electric vehicle 50, etc. The electric vehicle identification code or the battery identification code may be input to the external server 80 (Warlandy authentication server) from the terminal of the Warlandy authentication requester via the network 40.

[0216] The external server 80 (Warlandy authentication 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 refers to the warranty flag storage unit 68 of the database 60 to determine whether a warranty flag is set for the battery corresponding to the electric vehicle identification code or the battery identification code. If the warranty flag is set, the battery service server 30 may transmit a Warlandy authentication success message to the external server 80 (Warlandy authentication server) through the network 40. As a result, the Warlandy authentication requester can confirm that the performance management of the battery 51 installed in the electric vehicle 50 is continuously managed for a predetermined period of time, so that the battery 51 is a battery whose electrochemical performance and remaining life are guaranteed.

[0217] Alternatively, an advertisement server of an advertisement company may be connected to the battery service server 30 as another embodiment of the external server 80. The external server 80 (advertisement server) receives target advertisement information according to a location from the advertiser's computer and transmits it to the battery service server 30 through the network 40. The target advertisement may be a video advertisement. Then, the battery service server 30 matches the target advertisement information with the location coordinates in the database 60 and stores it. In addition, when collecting diagnostic analysis data from the electric vehicle control device 52 of the electric vehicle 50, the battery service server 30 may further collect travel route information of the electric vehicle 50. In this case, the battery service server 30 checks whether target advertisement information corresponding to the travel route of the electric vehicle 50 or the location coordinates of its adjacent places 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 targeted advertisement (moving images) through the integrated information display 53 of the electric vehicle 50. Also, the battery management software can output the targeted advertisement (moving images) through the display of the mobile communication terminal 90. It is preferable that the targeted advertisement is output while the electric vehicle 50 is being charged at a charging station or while the electric vehicle 50 is stopped. As a result, the user of the electric vehicle 50 can be provided with a targeted advertisement that matches the route of the electric vehicle 50, thereby maximizing the effectiveness of the targeted advertisement.

[0218] According to the present invention, the battery performance of an electric vehicle can be evaluated with high reliability and the battery charge / discharge control logic can be optimized according to the battery performance, thereby not only extending the battery's service life but also improving safety.

[0219] In addition, by providing electric vehicle users with highly reliable information regarding the remaining life of the battery, it is possible to guide them to replace the battery at the appropriate time, and also to increase the reliability of battery manufacturers.

[0220] In addition, by compiling a database of correlation data between the driving habits of electric vehicle drivers and the remaining battery life, this data can be used by auto insurance companies to accurately calculate insurance premiums.

[0221] It will also stimulate the insurance and used car trading markets by providing a rational method for determining the residual value of electric vehicle batteries.

[0222] In addition, by providing a billing service that allows the batteries installed in electric vehicles to be used on a rental basis, the burden of purchasing an electric vehicle can be reduced, resulting in rapid growth of the electric vehicle market.

[0223] In addition, by providing a warranty service for batteries that have undergone regular performance management, it is possible to guarantee the reliability of performance when electric vehicles equipped with the batteries are distributed or when the batteries are reused.

[0224] In addition, targeted advertising information that matches the route of the electric vehicle can be exposed to electric vehicle users, making it possible to maximize the effectiveness of targeted advertising.

[0225] In describing various embodiments of the present invention, components designated as "servers" should be understood as functionally separated components rather than physically separated components. Thus, each component may be selectively integrated with other components, or each component may be divided into subcomponents for efficient execution of control logic. However, it will be apparent to those skilled in the art that if the components are integrated or divided but still have the same function, the integrated or divided components should also be construed as being within the scope of the present invention.

[0226] Although the present invention has been described above with reference to limited embodiments and drawings, it goes without saying that the present invention is not limited thereto, and various modifications and variations can be made by those having ordinary skill in the art to which the present invention pertains within the scope of the technical spirit of the present invention and the equivalent scope of the claims. [Item 1] an electric vehicle control device that collects and manages operational characteristic information of a battery mounted on an electric vehicle and operational characteristic information of the electric vehicle; A battery service server communicatively connected to the electric vehicle control device via a network; a database connected to the battery service server so as to be accessible by the battery service server; The battery service server includes: collecting diagnostic analysis data including operating characteristic information of the battery and driving characteristic information of the electric vehicle from the electric vehicle control device through the network and storing the collected data in the database; determining a degradation level of the battery from the diagnostic analysis data; (a) generating update information for the charge / discharge control logic of the battery according to the determined degradation degree and providing the update information to the electric vehicle control device; (b) determining a residual value of the battery based on the determined deterioration; or (c) determining a fee for using the battery based on the determined deterioration level; or (d) transmitting the usage charge or residual value of the battery to an external server upon request from the external server; (e) A battery service providing system configured to set a guarantee flag for a battery for which charging and discharging control is performed based on update information of the charging and discharging control logic. [Item 2] 2. The battery service providing system according to claim 1, wherein the battery service server is configured to collect identification information including at least one selected from an electric vehicle model code, an electric vehicle identification code, a battery model code, and a battery identification code from the electric vehicle control device via the network, match the diagnostic analysis data with the identification information, and store the matched data in the database. [Item 3] The database includes a data area in which voltage profile information defined for each battery model and each degradation degree is stored, 2. The battery service server is configured to identify a voltage profile having the highest similarity to a voltage profile included in the diagnostic analysis data by referring to voltage profile information for each degradation level corresponding to a battery model from which the diagnostic analysis data was collected, determine a degradation level corresponding to the identified voltage profile as a degradation level of the battery, and store the determined degradation level in the database. [Item 4] The update information of the charge / discharge control logic is At least one of a magnitude of a charging current applied to each charging state section, an upper limit charging voltage value, a lower limit discharging voltage value, a maximum charging current, a maximum discharging current, a minimum charging current, a minimum discharging current, a maximum temperature, a minimum temperature, a power map for each charging state, and an internal resistance map for each charging state, When the battery is pulse-charged and discharged, the pulse current limit includes 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; The magnitude of the charging current applied to each of the charge state intervals when the battery is step-charged, or 2. The battery service providing system of item 1, wherein when the battery is charged in a CC / CV mode, the system includes at least one selected from the following: a magnitude of a current in a constant current charging (CC) mode, a cut-off voltage at which the constant current charging (CC) mode ends, and a magnitude of a voltage in a constant voltage charging (CV) mode. [Item 5] 2. The battery service server is configured to analyze the diagnostic analysis data collected from the electric vehicle control device in real time to determine a degree of deterioration of the battery, match the determined degree of deterioration with a battery identification code, and store the matched degree in the database. [Item 6] The battery service server is configured to train an artificial intelligence model to learn a correlation between the diagnostic analysis data and the degree of deterioration using the diagnostic analysis data and deterioration degree information of other batteries stored as big data in the database, and to determine the degree of deterioration of the battery from the diagnostic analysis data collected from the electric vehicle control device using the trained artificial intelligence model. [Item 7] 7. The battery service providing system of item 6, wherein the battery service server is configured to train an artificial intelligence model using diagnostic analysis data and degradation degree information collected from other batteries of the same model. [Item 8] the battery service server receives, via the electric vehicle control device, an identification code of the battery mounted on the electric vehicle and application information for a battery performance management service through a user interface provided by an integrated information display of the electric vehicle or a mobile communication terminal of the user; 2. The battery service providing system of claim 1, configured to generate update information for the charge / discharge control logic for the battery for which the use application information has been received, and provide the update information to the electric vehicle control device. [Item 9] The battery service providing system of item 8, wherein the battery service server is configured to further receive payment information at the receiving stage of the usage application information and to charge for the generation and provision of update information of the charge / discharge control logic. [Item 10] The battery service server is configured to calculate a residual value corresponding to the determined deterioration degree by referring to a residual value lookup table that defines a residual value according to a deterioration degree of a battery, and provide the calculated residual value through an integrated information display of the electric vehicle linked to the electric vehicle control device or a display of a user's mobile communication terminal. [Item 11] 2. The battery service providing system according to claim 1, wherein the battery service server is configured to further receive a cumulative charge / discharge amount of the battery together with the diagnostic analysis data from the electric vehicle control device, calculate a usage fee for the battery based on the cumulative charge / discharge amount and the degree of deterioration, and provide the calculated fee through an integrated information display of the electric vehicle linked to the electric vehicle control device or a display of a user's mobile communication terminal. [Item 12] The external server is an insurance company server of an insurance company; The battery service providing system of item 1, wherein the battery service server is configured to receive a battery identification code from the insurance company server via the network, refer to the database to determine battery residual value information corresponding to the received battery identification code, and provide the determined battery residual value information to the insurance company server. [Item 13] The external server is a used electric vehicle e-commerce server; 2. The battery service providing system of item 1, wherein the battery service server is configured to receive a battery identification code from the electronic commerce server via the network, refer to the database to determine battery residual value information corresponding to the received battery identification code, and provide the determined battery residual value information to the electronic commerce server. [Item 14] The external server is a warranty certification server of a battery warranty company that requests warranty certification of the battery, The battery service server is configured to receive a battery identification code from the Warlandy authentication server via the network, refer to the database to determine whether a guarantee flag corresponding to the received battery identification code exists in the database, and if the guarantee flag exists, transmit a Warlandy authentication success message to the Warlandy authentication server. [Item 15] The battery service server receives target advertisement information according to location coordinates from an advertisement server and stores the information in the database; 2. The battery service providing system according to claim 1, further configured to receive operation information related to a route of an electric vehicle while receiving the diagnostic analysis data from the electric vehicle control device, and to query the database for targeted advertising information matched to the route of the electric vehicle and provide the information through an integrated information display of the electric vehicle linked to the electric vehicle control device or a display of a user's mobile communication terminal. [Item 16] 2. The battery service providing system of item 1, wherein the battery service server is configured to collect the diagnostic analysis data from the electric vehicle control device through a charging station while the battery of the electric vehicle is being charged at the charging station, or to collect the diagnostic analysis data from the electric vehicle control device while the electric vehicle is in operation or parked. [Item 17] collecting diagnostic analysis data including operating characteristic information of the battery and driving characteristic information of the electric vehicle from the electric vehicle control device through a network and storing the collected data in a database; determining a degradation level of the battery from the diagnostic analysis data; generating update information for a battery charge / discharge control logic according to the determined degree of deterioration and providing the update information to the electric vehicle control device; determining a residual value of the battery based on the determined degree of deterioration; determining a usage fee for the battery based on the determined degree of deterioration; transmitting the usage fee or the residual value of the battery to an external server in response to a request from the external server; and setting a guarantee flag for a battery for which charge / discharge control is performed based on the update information of the charge / discharge control logic.

Claims

1. an electric vehicle control device that collects and manages operational characteristic information of a battery mounted on an electric vehicle and operational characteristic information of the electric vehicle; A battery service server communicatively connected to the electric vehicle control device via a network; a database connected to the battery service server so as to be accessible by the battery service server; The battery service server includes: Collecting operational characteristic information including voltage profile information of the battery and diagnostic analysis data including driving characteristic information of the electric vehicle from the electric vehicle control device through the network, and storing the collected data in the database; determining a degradation level of the battery from the diagnostic analysis data collected from the electric vehicle control device using an artificial intelligence model that has learned a correlation between the diagnostic analysis data and the degradation level; determining a residual value of the battery based on the determined deterioration degree and storing the determined residual value in the database; Receives the battery identification code through the network, determining battery residual value information corresponding to the received battery identification code by referencing the database; A battery service providing system configured to provide the determined battery residual value information via a network.

2. 2. The battery service providing system of claim 1, wherein the battery service server is configured to collect identification information, including at least one selected from an electric vehicle model code, an electric vehicle identification code, a battery model code, and a battery identification code, from the electric vehicle control device via the network, match the diagnostic analysis data with the identification information, and store the matched data in the database.

3. 3. The battery service providing system of claim 1, wherein the battery service server is configured to analyze the diagnostic analysis data collected from the electric vehicle control device in real time to determine a degree of deterioration of the battery, match the determined degree of deterioration with a battery identification code, and store the matched degree in the database.

4. The battery service server is configured to use the artificial intelligence model to learn the correlation between diagnostic analysis data and degradation degree from the diagnostic analysis data and degradation degree information of other batteries stored as big data in the database.

5. The battery service providing system of claim 4 , wherein the battery service server is configured to train an artificial intelligence model using diagnostic analysis data and degradation information collected from other batteries of the same model.

6. the battery service server receives, via the electric vehicle control device, an identification code of the battery mounted on the electric vehicle and application information for a battery performance management service through a user interface provided by an integrated information display of the electric vehicle or a mobile communication terminal of the user; 2. The battery service providing system of claim 1, configured to generate update information of charge / discharge control logic according to the determined degree of deterioration for the battery for which the use application information is received, and provide the update information to the electric vehicle control device.

7. The update information of the charge / discharge control logic is At least one of a magnitude of a charging current applied to each charging state section, a charging upper limit voltage value, a discharging lower limit voltage value, a maximum charging current, a maximum discharging current, a minimum charging current, a minimum discharging current, a maximum temperature, a minimum temperature, a power map for each charging state, and an internal resistance map for each charging state, When the battery is pulse-charged and discharged, the pulse current limit includes 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; The magnitude of the charging current applied to each of the charge state intervals when the battery is step-charged, or 7. The battery service provision system of claim 6, further comprising at least one selected from the group consisting of a magnitude of a current in a constant current charging (CC) mode, a cutoff voltage at which the constant current charging (CC) mode ends, and a magnitude of a voltage in a constant voltage charging (CV) mode when the battery is charged in a CC / CV mode.

8. The battery service providing system of claim 6 or 7, wherein the battery service server is configured to further receive payment information at the receiving step of the usage application information and to charge for generating and providing update information of the charge / discharge control logic.

9. 9. The battery service providing system of claim 1, wherein the battery service server is configured to calculate a residual value of a battery corresponding to the determined degree of deterioration by referring to a residual value lookup table that defines a residual value according to a degree of deterioration of a battery, and provide the calculated residual value through an integrated information display of the electric vehicle linked to the electric vehicle control device or a display of a user's mobile communication terminal.

10. 10. The battery service providing system of claim 1, wherein the battery service server is configured to further receive an accumulated charge / discharge amount of the battery together with the diagnostic analysis data from the electric vehicle control device, calculate a usage fee for the battery based on the accumulated charge / discharge amount and the degree of degradation, and provide the calculated fee through an integrated information display of the electric vehicle linked to the electric vehicle control device or a display of a user's mobile communication terminal.

11. 2. The battery service providing system of claim 1, wherein the battery service server is configured to receive the battery identification code from an external server and transmit the determined battery residual value information to the external server.

12. The battery service provision system of claim 11 , wherein the external server is an insurance company server of an insurance company.

13. The battery service providing system according to claim 11 , wherein the external server is an electronic commerce server for used electric vehicles.

14. The battery service server receives target advertisement information according to location coordinates from an advertisement server and stores the information in the database; 14. The battery service providing system of claim 1, further configured to receive operation information related to a route of an electric vehicle while receiving the diagnostic analysis data from the electric vehicle control device, and to query the database for targeted advertising information matched to the route of the electric vehicle and provide it through an integrated information display of the electric vehicle linked to the electric vehicle control device or a display of a user's mobile communication terminal.

15. 15. The battery service providing system of claim 1, wherein the battery service server is configured to collect the diagnostic analysis data from the electric vehicle control device through a charging station while the battery of the electric vehicle is being charged at the charging station, or to collect the diagnostic analysis data from the electric vehicle control device while the electric vehicle is in operation or parked.

16. The battery service server determines the degree of deterioration of the battery by inputting data based on the operational characteristic information, data based on the driving characteristic information, and data based on the operational characteristic profile of the battery included in the operational characteristic information into the artificial intelligence model.

17. The battery service provision system of claim 16, wherein the artificial intelligence model outputs a probability distribution of the deterioration degree of the battery or directly outputs the deterioration degree of the battery in response to input of data based on the operational characteristic information, data based on the driving characteristic information, and data based on the operational characteristic profile of the battery included in the operational characteristic information.

18. a computer collecting operational characteristic information including battery voltage profile information and diagnostic analysis data including electric vehicle driving characteristic information from the electric vehicle control device through a network and storing the collected diagnostic analysis data in a database; A computer determines the deterioration level of the battery from the diagnostic analysis data collected from the electric vehicle control device using an artificial intelligence model that has learned the correlation between the diagnostic analysis data and the deterioration level; determining a residual value of the battery based on the determined deterioration degree and storing the residual value in the database; receiving a battery identification code from a computer via a network; a computer referring to the database to determine battery residual value information corresponding to the received battery identification code; a computer providing said determined battery residual value information; A method for providing battery services, comprising:

19. The battery service providing method of claim 18, wherein the step of determining the degree of deterioration of the battery includes a step of determining the degree of deterioration of the battery by inputting data based on the operational characteristic information, data based on the driving characteristic information, and data based on the operational characteristic profile of the battery included in the operational characteristic information into the artificial intelligence model.

20. The battery service providing method of claim 19, wherein the artificial intelligence model outputs a probability distribution of the deterioration degree of the battery or directly outputs the deterioration degree of the battery in response to input of data based on the operational characteristic information, data based on the driving characteristic information, and data based on the operational characteristic profile of the battery included in the operational characteristic information.

21. A communication unit configured to be able to communicate with the electric vehicle control device through a network; at least one processor; The processor, Collecting diagnostic analysis data including operational characteristic information including voltage profile information of the battery and driving characteristic information of the electric vehicle from the electric vehicle control device through the network, and determining a degree of deterioration of the battery from the diagnostic analysis data collected from the electric vehicle control device using an artificial intelligence model that has learned a correlation between the diagnostic analysis data and a degree of deterioration; determining a residual value of the battery based on the determined deterioration degree and storing the determined residual value in a database; receiving a battery identification code via the network; determining battery residual value information corresponding to the received battery identification code by referencing the database; configured to provide the determined battery residual value information over the network. Battery service server.

22. The battery service server of claim 21, wherein the processor determines the degree of deterioration of the battery by inputting data based on the operational characteristic information, data based on the driving characteristic information, and data based on the operational characteristic profile of the battery included in the operational characteristic information into the artificial intelligence model.

23. The battery service server of claim 22, wherein the artificial intelligence model outputs a probability distribution of the deterioration degree of the battery or directly outputs the deterioration degree of the battery in response to input of data based on the operational characteristic information, data based on the driving characteristic information, and data based on the operational characteristic profile of the battery included in the operational characteristic information.

24. A trained artificial intelligence model for causing a computer to function to output a degree of deterioration of a battery based on diagnostic analysis data including operational characteristic information including an operational characteristic profile of the battery and operational characteristic information of an electric vehicle equipped with the battery, the parameters of the trained artificial intelligence model are trained using data based on the operation characteristic information, data based on the driving characteristic information, and data based on the operation characteristic profile, and a degree of degradation of the battery determined using the operation characteristic profile; A trained artificial intelligence model for causing a computer to function as follows: data based on the operating characteristic information, data based on the driving characteristic information, and data based on the operating characteristic profile are accepted as input; the input data based on the operating characteristic information, the input data based on the driving characteristic information, and the input data based on the operating characteristic profile are calculated based on the parameters; and the computer is configured to output the degree of degradation of the battery.

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