KR20240117830A - Method for providing EV performance evaluation information service - Google Patents

Abstract

The present invention relates to a method of providing an electric vehicle performance evaluation information service, which includes constructing a battery diagnostic learning model configured to measure the value of the battery corresponding to BMS data obtained using the BMS (Battery Management System) of an electric vehicle. steps; Obtaining battery data by measuring the minimum/maximum voltage of each cell of the battery; and a value measurement step of inputting the battery data into the battery diagnosis learning model, measuring the current value and future value of the battery, and providing performance evaluation information of the electric vehicle.

Description

{Method for providing EV performance evaluation information service}

The present invention relates to a method of providing an electric vehicle performance evaluation information service that is used to diagnose batteries and measure residual value and calculate value for used electric vehicle trading.

Fossil fuels such as petroleum such as diesel and gasoline or natural gas such as LNG and LPG are mainly used as vehicle fuels. However, in recent years, electric vehicles (EVs), which use electricity as an energy source, are attracting attention as an alternative to fossil fuel vehicles due to the problem of large amounts of exhaust gases that pollute the environment when fossil fuels are used.

Electric vehicles such as pure electric vehicles (battery powered EV), fuel cell EVs that use fuel cells as electric motors, and hybrid electric vehicles (hybrid EVs) that use both electric motors and engines are being developed. In addition, in order to expand and revitalize the distribution of electric vehicles, various studies on establishing electric vehicle charging infrastructure (EV charging infra) are also being conducted.

Meanwhile, since electric vehicles are charged using a plug-in method, maintaining and managing the performance of electric vehicle batteries has emerged as an important issue.

In the case of electric vehicles, the performance of the battery is directly related to the driving range, so unlike internal combustion engines, it is necessary to diagnose the efficiency of the battery. In particular, when trading used electric vehicles, it is necessary to measure the residual value of the battery and calculate the price.

Prior Art Document 1. Korean Registered Patent No. 10-2031116 (announced on October 4, 2019)

In order to solve the above problems, the purpose of the present invention is to provide a method of providing an electric vehicle performance evaluation information service that allows safe and efficient diagnosis of electric vehicle batteries. It is not limited to the technical challenges described above, and other technical challenges may be derived from the description below.

A method of providing an electric vehicle performance evaluation information service according to an embodiment of the present invention uses a BMS (Battery Management System) of an electric vehicle to build a battery diagnostic learning model configured to measure the value of the battery corresponding to the acquired BMS data. steps; Obtaining battery data by measuring the minimum/maximum voltage of each cell of the battery; and a value measurement step of inputting the battery data into the battery diagnosis learning model, measuring the current value and future value of the battery, and providing performance evaluation information of the electric vehicle.

Meanwhile, at least some steps in the method of providing the electric vehicle performance evaluation information service may be implemented as a computer-readable recording medium that records a program for execution on a computer, or may be provided as the program itself.

According to an embodiment of the present invention, BMS (Battery Management System) data of an electric vehicle is analyzed using machine learning, and a model that combines battery manufacturing information, driving area information of the electric vehicle, and driver's driving and charging habit information is used. By measuring the current and future value of batteries, it can contribute to revitalizing used electric vehicle trading.

1 is a block diagram showing the configuration of a battery diagnosis device according to an embodiment of the present invention.
Figure 2 is a flowchart showing a battery diagnosis method for used electric vehicle trading according to an embodiment of the present invention.
3 to 6 are diagrams for explaining embodiments of battery diagnosis data.
FIGS. 7 and 8 are diagrams for explaining embodiments of a method for measuring the value of a battery by analyzing battery data.
Figure 9 is a diagram showing another embodiment of battery diagnosis data.
Figure 10 is a diagram to explain an embodiment of a method of using battery diagnosis results in used electric vehicle trading.

Hereinafter, a battery diagnosis method and device for used electric vehicle trading according to an embodiment of the present invention will be described in detail with reference to the attached drawings.

In the following description of the present invention, if a detailed description of a related known function or configuration is judged to unnecessarily obscure the gist of the present invention, the detailed description will be omitted. The terms described below are defined in consideration of the functions in the present invention, and may vary depending on the intention or custom of the user or operator. Therefore, the definition should be made based on the overall content of the present invention.

In addition, preferred embodiments of the present invention to be implemented below are provided in each system function configuration in order to efficiently explain the technical components constituting the present invention, or system functions commonly provided in the technical field to which the present invention pertains. The configuration will be omitted whenever possible, and the description will focus on the functional configuration that must be additionally provided for the present invention.

If a person has ordinary knowledge in the technical field to which the present invention pertains, he or she will be able to easily understand the functions of conventionally used components among the functional configurations not shown and omitted below, and also the configurations omitted as above. The relationships between elements and components added for the present invention will also be clearly understood.

Figure 1 is a block diagram showing the configuration of a battery diagnosis device according to an embodiment of the present invention. The battery diagnosis device 100 shown includes a data acquisition unit 110, a data analysis unit 120, and a value measurement unit 130. ) and a price calculation unit 140.

Referring to FIG. 1, the battery diagnosis device 100 is a device mounted on an electric vehicle to diagnose a battery, and can be implemented as a battery diagnosis tool that is simply installed in the vehicle when a battery diagnosis is requested.

The data acquisition unit 110 acquires BMS (Battery Management System) data of the electric vehicle.

The battery system includes a battery management system (BMS) to process battery-related information. The battery management system (BMS) can communicate with the controllers of various electric consumers via a suitable communication bus (eg, CAN or SPI interface).

The battery management system (BMS) may further communicate with each battery submodule, particularly with a cell supervision circuit (CSC) of each battery submodule, where the CSC is a battery submodule that connects the battery cells of the battery submodule. It can be additionally connected to a cell connection and sensing unit (CCU).

Therefore, a battery management system (BMS) protects the battery from operating outside its safe operating area, monitors the battery's health, produces auxiliary data, reports data, controls the battery's environment, authenticates the battery, or balances the battery. May be provided to manage packs.

The data acquisition unit 110 may collect battery-related BMS data of an electric vehicle from a battery management system (BMS), but the present invention is not limited thereto.

The data analysis unit 120 analyzes the BMS data obtained from the data acquisition unit 110.

Meanwhile, the value measurement unit 130 may measure the current value and future value of the battery based on the analysis results of the data analysis unit 120 and provide performance evaluation information of the electric vehicle.

Here, the performance evaluation information of the electric vehicle may be evaluated using at least one of battery manufacturing information, information on the driving area of the electric vehicle, and information on the driver's driving and charging habits.

Additionally, the price calculation unit 140 may calculate the standard price of the battery by accumulating cell-level battery data obtained through the data acquisition unit 110.

According to an embodiment of the present invention, BMS (Battery Management System) data of an electric vehicle is analyzed using machine learning, and a model that combines battery manufacturing information, driving area information of the electric vehicle, and driver's driving and charging habit information is used. By measuring the current and future value of batteries, it can contribute to revitalizing used electric vehicle trading.

Hereinafter, with reference to FIGS. 2 to 10, a battery diagnosis method for used electric vehicle trading according to an embodiment of the present invention will be described in detail.

Figure 2 is a flowchart showing a battery diagnosis method for used electric vehicle trading according to an embodiment of the present invention.

Referring to FIG. 2, the battery diagnosis device 100 acquires BMS data of an electric vehicle (step S200).

In step S200, the data acquisition unit 110 of the battery diagnosis device 100 may secure battery data by measuring the minimum voltage and maximum voltage per cell of the battery.

For example, in addition to the entire battery, battery data for each cell can be secured, and as shown in FIG. 3, information on the high-voltage battery cells and the total amount of the high-voltage battery can be secured.

Meanwhile, the efficiency of the battery can be monitored using cell-level battery data secured in step S200.

For example, as shown in FIGS. 4 and 5, the real-time battery status of the vehicle, information on batteries that can be driven in the future, and accumulated battery usage data can be secured.

In addition, the standard price of the battery may be additionally calculated by accumulating cell-level battery data obtained in step S200.

For example, as shown in FIG. 6, battery efficiency decline data can be expressed as a battery capacity change graph, and a standard battery price can be calculated using the accumulated data through the price calculation unit 140.

The battery diagnosis device 100 analyzes the BMS data acquired in step S200 (step S210).

The data analysis unit 120 of the battery diagnosis device 100 may analyze BMS data using machine learning, but the present invention is not limited thereto.

Thereafter, the battery diagnosis device 100 measures the current value and future value of the battery based on the analysis result of step S210.

According to one embodiment of the present invention, the value measurement unit 130 of the battery diagnosis device 100 uses the manufacturing information of the battery, the driving area information of the electric vehicle, and the driving and charging habit information of the driver of the electric vehicle to determine the value of the battery. The current value can be measured and the future value of the battery diagnostic device 100 can be predicted based on the data analysis results and the current value.

Referring to FIG. 7, when battery diagnosis for a used electric vehicle is requested, the battery diagnosis device 100 is installed to be connected wired or wirelessly to the in-vehicle battery management system (BMS) to secure BMS data, and an algorithm based on machine learning is used. By applying this, BMS data is analyzed, the current value of the battery is measured according to the analysis results, and the future value based on the data can be measured and transmitted to the battery integration system.

Here, the current and future value of the battery can be measured by considering battery manufacturing information, regional information (electric vehicle driving area), and driver information (performance and charging habits) in the machine learning algorithm, as shown in Figure 8. there is.

Figure 9 shows another embodiment of battery diagnosis data, including battery efficiency diagnosis at the time of used car transaction, such as day trip, vehicle control, auxiliary battery, tire, low-voltage battery status, and high-voltage battery total amount. A variety of information can be provided for this purpose.

Figure 10 is a diagram to explain an embodiment of a method of using battery diagnosis results in used electric vehicle trading.

Referring to FIG. 10, in the platform service for used electric vehicle trading, when a need for a used electric vehicle arises, the service can be provided to enable inquiry and filtering of the desired vehicle, promotion, and comparison of conditions.

At this time, battery manufacturing/driving-related data can be viewed and filtered, and when offline services such as test drives are needed, services connected to them can be provided.

Meanwhile, in a platform service for trading used electric vehicles, the future value of the battery can be measured and provided according to the battery diagnosis method described above, and along with it, provision of electric vehicle warranty data and transaction/post-management services can be provided. .

Meanwhile, the battery diagnosis information described above can also be used in the battery recycling/reuse industry according to the battery life cycle.

The methods according to an embodiment of the present invention described above can be produced as a program to be executed on a computer. Additionally, the program may be stored in a computer-readable recording medium, and examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices.

The computer-readable recording medium is distributed in a computer system connected to a network, so that computer-readable code can be stored and executed in a distributed manner. And, functional programs, codes, and code segments for implementing the method can be easily deduced by programmers in the technical field to which the present invention pertains.

In addition, although preferred embodiments of the present invention have been shown and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the invention pertains without departing from the gist of the present invention as claimed in the claims. Of course, various modifications can be made by those skilled in the art, and these modifications should not be understood individually from the technical idea or perspective of the present invention.

Claims (4)

Building a battery diagnostic learning model configured to measure the value of a battery corresponding to BMS data obtained using a battery management system (BMS) of an electric vehicle;
Obtaining battery data by measuring the minimum/maximum voltage of each cell of the battery; and
Including a value measurement step of inputting the battery data into the battery diagnosis learning model to measure the current value and future value of the battery to provide performance evaluation information of the electric vehicle.
Method of providing electric vehicle performance evaluation information service. According to paragraph 1,
Comprising: monitoring the efficiency of the battery using the secured cell-level battery data.
Method of providing electric vehicle performance evaluation information service. According to paragraph 1,
Comprising: accumulating the secured cell-level battery data and calculating a standard price of the battery;
Method of providing electric vehicle performance evaluation information service. According to paragraph 1,
The value measurement step is,
Evaluating the performance of the electric vehicle using at least one of the manufacturing information of the battery, information on the driving area of the electric vehicle, and information on the driver's driving and charging habits.
Method of providing electric vehicle performance evaluation information service.