Battery state of health calculation method, device and equipment for pure electric vehicle and storage medium

Abstract

The application discloses a kind of pure electric vehicle battery SOH calculation method, device, equipment and storage medium, the method is carried out energy consumption test based on national standard shortening method, the discharge process data and charging process data of the pure electric vehicle to be evaluated in each stage are synchronously collected;Discharge process SOH value in each stage is calculated according to discharge process data, charging process SOH value is calculated according to charging process data, discharge process SOH value and charging process SOH value are weighted and fused, and the final battery SOH value is obtained;According to the final battery SOH value, the vehicle type, the service life and the cumulative mileage of the pure electric vehicle to be evaluated are combined, and whether the current battery health state meets the current vehicle requirement according to the preset threshold standard is automatically judged;It can be realized that the health state of pure electric vehicle battery is synchronously and accurately evaluated in the energy consumption test process, the SOH value calculation precision is significantly improved, and the test cost and time are greatly reduced.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle technology, and in particular to a method, apparatus, device, and storage medium for calculating the state of harmonics (SOH) of a pure electric vehicle battery. Background Technology

[0002] With the widespread application of electric vehicles, the durability of their on-board batteries has become an important indicator of concern. A new phase of vehicle emission standards is about to be released, placing new demands on the durability of electric vehicle on-board batteries. Currently, in the compliance testing of electric vehicles, the methods for measuring vehicle energy consumption and driving range mostly rely on traditional long-distance real-world driving tests. This method is time-consuming, inefficient, and cannot simultaneously and accurately calculate battery life (State of Health, SOH). Furthermore, existing tests lack the function of automatically storing test results, which is not conducive to data processing and analysis.

[0003] The existing technical solutions include: 1) Read real-time data from the Battery Management System (BMS) through the vehicle's On-Board Diagnostics (OBD) port, and combine it with historical charging and discharging conditions in the cloud to perform algorithm fitting to estimate SOH, capacity decay, and consistency.

[0004] 2) DC internal resistance test method: The change in battery internal resistance is measured by applying a pulse current. An increase in internal resistance usually reflects a decline in battery health.

[0005] 3) Electrochemical impedance spectroscopy: By applying small-amplitude AC signals of different frequencies, the impedance spectrum is measured and the internal chemical reaction kinetic parameters of the battery (such as charge transfer resistance, diffusion coefficient, etc.) are analyzed.

[0006] The disadvantages of existing technology are: 1) Reading real-time BMS data through the vehicle's OBD port depends on the OEM's access to data, and the accuracy is affected by the BMS calibration.

[0007] 2) DC internal resistance test method: The internal resistance is significantly affected by temperature and requires additional temperature compensation, otherwise the error will be large. For lithium-ion batteries, the internal resistance change is small, the sensor accuracy requirement is high, and the internal resistance characteristics of different battery types are very different. In addition, the nonlinear relationship between internal resistance and SOH makes it impossible to directly establish an accurate mapping, and other parameters need to be combined for auxiliary judgment.

[0008] 3) Electrochemical impedance spectroscopy: Precise matching of battery type is required, and the variation of model parameters at different aging stages is difficult to describe uniformly; real-time parameter identification requires high computing power, which low-end vehicle controllers may not be able to meet. Model accuracy is highly dependent on the accuracy of the initial state, and initial errors will accumulate. Summary of the Invention

[0009] The main objective of this invention is to provide a method, apparatus, device, and storage medium for calculating the State of Health (SOH) of a pure electric vehicle battery. This invention aims to solve the technical problems in the prior art, such as the inability to simultaneously and accurately assess the health status of a pure electric vehicle battery during energy consumption testing, the inability to complete the assessment simultaneously with rapid in-use vehicle testing, the reliance on manual recording for battery performance evaluation testing, the need for additional testing procedures, the dependence on special sensors or OEM data access, and the inherent errors and difficulty in standardization.

[0010] In a first aspect, the present invention provides a method for calculating the State of Health (SOH) of a pure electric vehicle battery, the method comprising the following steps: Energy consumption testing was conducted based on the national standard shortening method, and data on the discharge and charging processes of the pure electric vehicle under evaluation were collected simultaneously at each stage. The SOH value of the discharge process at each stage is calculated based on the discharge process data, and the SOH value of the charging process is calculated based on the charging process data. The SOH values ​​of the discharge process and the SOH values ​​of the charging process are weighted and fused to obtain the final SOH value of the battery. Based on the final battery SOH value, combined with the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, the system automatically determines whether the current battery health status meets the current vehicle usage requirements according to a preset threshold standard.

[0011] Optionally, the energy consumption test based on the national standard shortening method simultaneously collects discharge and charging process data of the pure electric vehicle under evaluation at each stage, including: Energy consumption testing is conducted based on the national standard shortening method, and the testing process is divided into predetermined stages that include multiple CLTC cycles and constant speed sections. Simultaneously collect discharge and charging process data of the pure electric vehicle to be evaluated at each stage.

[0012] Optionally, the energy consumption test based on the national standard shortening method divides the test process into predetermined stages including multiple CLTC cycles and constant speed sections, including: When conducting energy consumption tests on pure electric vehicles based on the national standard shortening method, the test procedure is executed on the chassis dynamometer according to the preset CLTC working condition cycle and constant speed section combination program. The entire testing process is divided into the first CLTC cycle segment, the second CLTC cycle segment, the first constant speed segment, the third CLTC cycle segment, the fourth CLTC cycle segment, the second constant speed segment, and the final charging stage.

[0013] Optionally, the synchronous collection of discharge and charging process data of the pure electric vehicle to be evaluated at each stage includes: The key parameters of the pure electric vehicle under evaluation at the end of each stage are collected in real time using the on-board OBD interface and an external CAN bus analyzer. The actual driving mileage of the vehicle, the cumulative discharge of the power battery, the remaining driving range displayed on the instrument panel, and the energy consumption data corresponding to each stage are used as the discharge process data for each stage. Acquire charging process data of the pure electric vehicle to be evaluated at each stage of charging using AC charging piles.

[0014] Optionally, the step of calculating the SOH value of each stage of the discharge process based on the discharge process data, calculating the SOH value of the charging process based on the charging process data, and weightedly fusing the SOH values ​​of the discharge process and the SOH values ​​of the charging process to obtain the final battery SOH value includes: Based on the discharge process data, the discharge process health component for each CLTC cycle stage is calculated using the following formula:

[0015]

[0016]

[0017] in, For the health of the discharge process, For the c-th CLTC cycle phase, the phase health component is... The weight coefficients are for the c-th CLTC cycle phase. This represents the actual discharge amount of the battery during the c-th CLTC cycle. This represents the total discharge amount during the entire test process. The weighting coefficients for the first CLTC cycle phase. The weighting coefficients for the second CLTC cycle phase. This represents the discharge process health component during the c-th CLTC cycle test phase. This represents the remaining driving range displayed on the dashboard at the start of test phase c. The remaining driving range displayed on the dashboard at the end of test phase c. This represents the actual mileage driven during test phase c. The charging process health status is calculated based on the charging process data using the following formula:

[0018] in, For the health of the charging process, This is a correction factor for charging efficiency. To measure the actual charging amount, This represents the total discharge amount during the entire test process; The SOH values ​​during the discharge process and the SOH values ​​during the charging process are weighted and fused to obtain the final battery SOH value using the following formula:

[0019] in, For the final battery health status, As the first weighting coefficient, For the health of the discharge process, This is the second weighting coefficient. To assess the health of the charging process.

[0020] Optionally, the step of automatically determining whether the current battery health status meets the current vehicle usage requirements based on the final battery SOH value in conjunction with the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, according to a preset threshold standard, includes: The corresponding preset threshold is determined based on the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated; The final battery SOH value is compared with the preset threshold. When the final battery SOH value is greater than or equal to the preset threshold, it is determined that the current battery health status meets the current vehicle usage requirements. When the final battery SOH value is less than the preset threshold, it is determined that the current battery health status does not meet the current vehicle usage requirements.

[0021] Optionally, after automatically determining whether the current battery health status meets the current usage requirements based on the final battery SOH value and the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, according to a preset threshold standard, the pure electric vehicle battery SOH calculation method further includes: When the actual real-time mileage and the remaining range displayed on the instrument panel exceed the reasonable range at a certain stage, the SOH value for the current stage will be forcibly set to 100%. When a data acquisition interruption is detected, the SOH value from the previous stage is used as a temporary replacement value, and the abnormal log information is recorded.

[0022] Secondly, to achieve the above objectives, the present invention also proposes a pure electric vehicle battery SOH calculation device, the pure electric vehicle battery SOH calculation device comprising: The data acquisition module is used to conduct energy consumption tests based on the national standard shortening method, and simultaneously collects discharge process data and charging process data of the pure electric vehicle under evaluation at each stage. The SOH value acquisition module is used to calculate the SOH value of each stage of the discharge process based on the discharge process data, calculate the SOH value of the charging process based on the charging process data, and perform weighted fusion of the discharge process SOH value and the charging process SOH value to obtain the final battery SOH value. The judgment module is used to automatically determine whether the current battery health status meets the current vehicle use requirements based on the final battery SOH value, combined with the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, according to a preset threshold standard.

[0023] Thirdly, to achieve the above objectives, the present invention also proposes a pure electric vehicle battery SOH calculation device, the pure electric vehicle battery SOH calculation device comprising: a memory, a processor, and a pure electric vehicle battery SOH calculation program stored in the memory and executable on the processor, the pure electric vehicle battery SOH calculation program being configured to implement the steps of the pure electric vehicle battery SOH calculation method described above.

[0024] Fourthly, to achieve the above objectives, the present invention also proposes a storage medium storing a pure electric vehicle battery SOH calculation program, wherein when the pure electric vehicle battery SOH calculation program is executed by a processor, it implements the steps of the pure electric vehicle battery SOH calculation method described above.

[0025] The proposed method for calculating the State of Health (SOH) of pure electric vehicle (EV) batteries utilizes a national standard shortening method for energy consumption testing. It simultaneously collects discharge and charging process data for the EV under evaluation at each stage. The SOH value for each stage is calculated based on the discharge process data, and the SOH value for the charging process is calculated based on the charging process data. These two SOH values ​​are then weighted and fused to obtain the final battery SOH value. Based on the final battery SOH value, combined with the vehicle type, years of use, and cumulative mileage of the EV under evaluation, the method automatically determines whether the current battery health status meets the current vehicle usage requirements according to a preset threshold standard. This method enables simultaneous and accurate assessment of the EV battery health status during energy consumption testing, without relying on additional testing procedures or special sensors. It significantly improves the accuracy of SOH value calculation and automatically determines battery compliance based on vehicle type, years of use, and cumulative mileage. This effectively solves the technical problems of existing technologies, such as the need for separate testing for battery health status assessment, reliance on OEM data access, and inconsistent judgment standards. It significantly reduces testing costs and time, providing scientific and reliable technical support for the supervision of EVs in use and the evaluation of used EVs. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention; Figure 2 This is a flowchart illustrating the first embodiment of the SOH calculation method for pure electric vehicle batteries according to the present invention. Figure 3 This is a flowchart illustrating the second embodiment of the SOH calculation method for pure electric vehicle batteries according to the present invention. Figure 4 This is a flowchart illustrating the third embodiment of the SOH calculation method for pure electric vehicle batteries of the present invention. Figure 5 This is a functional block diagram of the first embodiment of the pure electric vehicle battery SOH calculation device of the present invention.

[0027] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0028] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0029] The solution of this invention mainly involves: conducting energy consumption tests based on the national standard shortening method, simultaneously collecting discharge and charging process data of the pure electric vehicle under evaluation at each stage; calculating the SOH value of the discharge process at each stage based on the discharge process data, calculating the SOH value of the charging process based on the charging process data, and weighted and fused the discharge and charging SOH values ​​to obtain the final battery SOH value; and automatically determining whether the current battery health status meets the current vehicle usage requirements based on the final battery SOH value, combined with the vehicle type, service life, and cumulative mileage of the pure electric vehicle under evaluation, according to a preset threshold standard. This enables simultaneous and accurate assessment of the battery health status of pure electric vehicles during energy consumption testing. Without relying on additional testing procedures or special sensors, it significantly improves the accuracy of SOH value calculation. It automatically determines battery compliance by combining vehicle type, service life, and cumulative mileage, effectively solving the technical problems of existing technologies that require separate testing for battery health status assessment, rely on OEM data access, and have inconsistent judgment standards. It greatly reduces testing costs and time, and provides scientific and reliable technical support for the supervision of pure electric vehicles in use and the evaluation of used vehicles. It solves the technical problems of existing technologies that cannot simultaneously and accurately assess the battery health status of pure electric vehicles during energy consumption testing, cannot be completed simultaneously with rapid in-use vehicle testing, and rely on manual recording for battery performance evaluation testing, requiring additional testing procedures, special sensors, or OEM data access, which are prone to errors and difficult to standardize.

[0030] Reference Figure 1 , Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention.

[0031] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU; a communication bus 1002; a user interface 1003; a network interface 1004; and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed RAM or non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0032] Those skilled in the art will understand that Figure 1 The device structure shown does not constitute a limitation on the device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0033] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating device, a network communication module, a user interface module, and a pure electric vehicle battery SOH calculation program.

[0034] The device of this invention calls the pure electric vehicle battery SOH calculation program stored in the memory 1005 through the processor 1001, and performs the following operations: Energy consumption testing was conducted based on the national standard shortening method, and data on the discharge and charging processes of the pure electric vehicle under evaluation were collected simultaneously at each stage. The SOH value of the discharge process at each stage is calculated based on the discharge process data, and the SOH value of the charging process is calculated based on the charging process data. The SOH values ​​of the discharge process and the SOH values ​​of the charging process are weighted and fused to obtain the final SOH value of the battery. Based on the final battery SOH value, combined with the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, the system automatically determines whether the current battery health status meets the current vehicle usage requirements according to a preset threshold standard.

[0035] The device of the present invention, through processor 1001 calling the pure electric vehicle battery SOH calculation program stored in memory 1005, also performs the following operations: Energy consumption testing is conducted based on the national standard shortening method, and the testing process is divided into predetermined stages that include multiple CLTC cycles and constant speed sections. Simultaneously collect discharge and charging process data of the pure electric vehicle to be evaluated at each stage.

[0036] The device of the present invention, through processor 1001 calling the pure electric vehicle battery SOH calculation program stored in memory 1005, also performs the following operations: When conducting energy consumption tests on pure electric vehicles based on the national standard shortening method, the test procedure is executed on the chassis dynamometer according to the preset CLTC working condition cycle and constant speed section combination program. The entire testing process is divided into the first CLTC cycle segment, the second CLTC cycle segment, the first constant speed segment, the third CLTC cycle segment, the fourth CLTC cycle segment, the second constant speed segment, and the final charging stage.

[0037] The device of the present invention, through processor 1001 calling the pure electric vehicle battery SOH calculation program stored in memory 1005, also performs the following operations: The key parameters of the pure electric vehicle under evaluation at the end of each stage are collected in real time using the on-board OBD interface and an external CAN bus analyzer. The actual driving mileage of the vehicle, the cumulative discharge of the power battery, the remaining driving range displayed on the instrument panel, and the energy consumption data corresponding to each stage are used as the discharge process data for each stage. Acquire charging process data of the pure electric vehicle to be evaluated at each stage of charging using AC charging piles.

[0038] The device of the present invention, through processor 1001 calling the pure electric vehicle battery SOH calculation program stored in memory 1005, also performs the following operations: Based on the discharge process data, the discharge process health component for each CLTC cycle stage is calculated using the following formula:

[0039]

[0040]

[0041] in, For the health of the discharge process, For the c-th CLTC cycle phase, the phase health component is... The weight coefficients are for the c-th CLTC cycle phase. This represents the actual discharge amount of the battery during the c-th CLTC cycle. This represents the total discharge amount during the entire test process. The weighting coefficients for the first CLTC cycle phase. The weighting coefficients for the second CLTC cycle phase. This represents the discharge process health component during the c-th CLTC cycle test phase. This represents the remaining driving range displayed on the dashboard at the start of test phase c. The remaining driving range displayed on the dashboard at the end of test phase c. This represents the actual mileage driven during test phase c. The charging process health status is calculated based on the charging process data using the following formula:

[0042] in, For the health of the charging process, This is a correction factor for charging efficiency. To measure the actual charging amount, This represents the total discharge amount during the entire test process; The SOH values ​​during the discharge process and the SOH values ​​during the charging process are weighted and fused to obtain the final battery SOH value using the following formula:

[0043] in, For the final battery health status, As the first weighting coefficient, For the health of the discharge process, This is the second weighting coefficient. To assess the health of the charging process.

[0044] The device of the present invention, through processor 1001 calling the pure electric vehicle battery SOH calculation program stored in memory 1005, also performs the following operations: The corresponding preset threshold is determined based on the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated; The final battery SOH value is compared with the preset threshold. When the final battery SOH value is greater than or equal to the preset threshold, it is determined that the current battery health status meets the current vehicle usage requirements. When the final battery SOH value is less than the preset threshold, it is determined that the current battery health status does not meet the current vehicle usage requirements.

[0045] The device of the present invention, through processor 1001 calling the pure electric vehicle battery SOH calculation program stored in memory 1005, also performs the following operations: When the actual real-time mileage and the remaining range displayed on the instrument panel exceed the reasonable range at a certain stage, the SOH value for the current stage will be forcibly set to 100%. When a data acquisition interruption is detected, the SOH value from the previous stage is used as a temporary replacement value, and the abnormal log information is recorded.

[0046] This embodiment, through the above-described scheme, conducts energy consumption testing based on the national standard shortening method, simultaneously collecting discharge and charging process data of the pure electric vehicle under evaluation at each stage. It calculates the SOH value of the discharge process at each stage based on the discharge process data, and calculates the SOH value of the charging process based on the charging process data. The discharge and charging SOH values ​​are then weighted and fused to obtain the final battery SOH value. Based on the final battery SOH value, combined with the vehicle type, service life, and cumulative mileage of the pure electric vehicle under evaluation, the system automatically determines whether the current battery health status meets the current vehicle usage requirements according to a preset threshold standard. This enables simultaneous and accurate assessment of the pure electric vehicle battery health status during energy consumption testing, without relying on additional testing procedures or special sensors, significantly improving the accuracy of SOH value calculation. By automatically determining battery compliance based on vehicle type, service life, and cumulative mileage, it effectively solves the technical problems of existing technologies where battery health status assessment requires separate testing, relies on OEM data access, and has inconsistent judgment standards. This significantly reduces testing costs and time, providing scientific and reliable technical support for the supervision of pure electric vehicles in use and the evaluation of used vehicles.

[0047] Based on the above hardware structure, an embodiment of the SOH calculation method for pure electric vehicle batteries of the present invention is proposed.

[0048] Reference Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the SOH calculation method for pure electric vehicle batteries according to the present invention.

[0049] In the first embodiment, the method for calculating the State of Harm (SOH) of a pure electric vehicle battery includes the following steps: Step S10: Conduct energy consumption tests based on the national standard shortening method, and simultaneously collect discharge process data and charging process data of the pure electric vehicle to be evaluated at each stage.

[0050] It should be noted that the national standard shortening method specifically refers to the shortening method test procedure specified in the national standard GB / T 18386 "Test Method for Energy Consumption Rate and Driving Range of Electric Vehicles". This method simultaneously collects discharge and charging process data of the pure electric vehicle under evaluation at each stage. The conventional test data obtained simultaneously provides a complete data foundation for subsequent battery health state (SOH) calculation without the need for additional equipment, thus enabling the simultaneous completion of energy consumption testing and battery evaluation.

[0051] Step S20: Calculate the SOH value of each stage of the discharge process based on the discharge process data, calculate the SOH value of the charging process based on the charging process data, and perform weighted fusion of the SOH values ​​of the discharge process and the SOH values ​​of the charging process to obtain the final SOH value of the battery.

[0052] It should be understood that the SOH value of each stage of the discharge process is calculated based on the discharge process data, and the SOH value of the charging process is calculated based on the charging process data. After weighted fusion of the SOH values ​​of the discharge process and the SOH values ​​of the charging process, the final battery SOH value can be obtained. This dual verification mechanism effectively overcomes the limitations of a single calculation path and significantly improves the accuracy and reliability of battery health status assessment.

[0053] Step S30: Based on the final battery SOH value and the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, automatically determine whether the current battery health status meets the current vehicle usage requirements according to a preset threshold standard.

[0054] Understandably, based on the specific type of the vehicle to be evaluated, combined with its actual years of use and cumulative mileage, the system automatically matches the corresponding judgment criteria from a preset threshold database, compares the calculated SOH value with the threshold, and automatically outputs the judgment result of whether it meets or does not meet the requirements for in-use vehicles, thus achieving a seamless connection from test data to regulatory conclusions.

[0055] This embodiment, through the above-described scheme, conducts energy consumption testing based on the national standard shortening method, simultaneously collecting discharge and charging process data of the pure electric vehicle under evaluation at each stage. It calculates the SOH value of the discharge process at each stage based on the discharge process data, and calculates the SOH value of the charging process based on the charging process data. The discharge and charging SOH values ​​are then weighted and fused to obtain the final battery SOH value. Based on the final battery SOH value, combined with the vehicle type, service life, and cumulative mileage of the pure electric vehicle under evaluation, the system automatically determines whether the current battery health status meets the current vehicle usage requirements according to a preset threshold standard. This enables simultaneous and accurate assessment of the pure electric vehicle battery health status during energy consumption testing, without relying on additional testing procedures or special sensors, significantly improving the accuracy of SOH value calculation. By automatically determining battery compliance based on vehicle type, service life, and cumulative mileage, it effectively solves the technical problems of existing technologies where battery health status assessment requires separate testing, relies on OEM data access, and has inconsistent judgment standards. This significantly reduces testing costs and time, providing scientific and reliable technical support for the supervision of pure electric vehicles in use and the evaluation of used vehicles.

[0056] Furthermore, Figure 3 This is a flowchart illustrating the second embodiment of the SOH calculation method for pure electric vehicle batteries of the present invention, as shown below. Figure 3 As shown, based on the first embodiment, a second embodiment of the method for calculating the State of Harmony (SOH) of a pure electric vehicle battery according to the present invention is proposed. In this embodiment, step S10 specifically includes the following steps: Step S11: Conduct energy consumption testing based on the national standard shortening method, and divide the testing process into predetermined stages that include multiple CLTC cycles and constant speed sections.

[0057] It should be noted that, in order to improve testing efficiency, the energy consumption test based on the national standard shortening method can be divided into predetermined stages that include multiple CLTC cycles and constant speed sections.

[0058] Furthermore, step S11 specifically includes the following steps: When conducting energy consumption tests on pure electric vehicles based on the national standard shortening method, the test procedure is executed on the chassis dynamometer according to the preset CLTC working condition cycle and constant speed section combination program. The entire testing process is divided into the first CLTC cycle segment, the second CLTC cycle segment, the first constant speed segment, the third CLTC cycle segment, the fourth CLTC cycle segment, the second constant speed segment, and the final charging stage.

[0059] It should be understood that when performing tests on a chassis dynamometer, the original complete CLTC test, which required a long period of continuous operation, was optimized into a combination of seven logical stages (four CLTC cycle segments alternately inserted into two constant speed segments, with charging performed at the end). The CLTC cycle segments simulate typical urban and suburban driving conditions, while the constant speed segments are set at different speeds according to vehicle type (100 km / h for passenger cars and 70 km / h for commercial vehicles) to examine energy consumption characteristics during high-speed driving. This specific stage division not only meets the national standard requirements for the shortened method test, ensuring the representativeness and comparability of the test results, but also provides structured data collection points for battery health state calculation, allowing key parameters (such as actual mileage, displayed range, and discharge amount) to be obtained at the end of each stage. At the same time, it significantly shortens the test time (by about 40% compared to the complete test), creating a data foundation for subsequent simultaneous battery SOH evaluation, and achieving the best balance between energy consumption test efficiency and data integrity.

[0060] Step S12: Synchronously collect discharge process data and charging process data of the pure electric vehicle to be evaluated at each stage.

[0061] It is understandable that the operation method involves simultaneously collecting discharge and charging process data of the pure electric vehicle under evaluation at each stage, that is, obtaining in real time the battery discharge-related parameters (such as actual driving range, remaining range displayed on the instrument panel, and stage discharge amount) of the pure electric vehicle at each test stage (including CLTC cycle and constant speed section) and the complete data of the charging process after the test (such as total charging amount).

[0062] Furthermore, step S12 specifically includes the following steps: The key parameters of the pure electric vehicle under evaluation at the end of each stage are collected in real time using the on-board OBD interface and an external CAN bus analyzer. The actual driving mileage of the vehicle, the cumulative discharge of the power battery, the remaining driving range displayed on the instrument panel, and the energy consumption data corresponding to each stage are used as the discharge process data for each stage. Acquire charging process data of the pure electric vehicle to be evaluated at each stage of charging using AC charging piles.

[0063] It should be understood that by connecting an external CAN bus analyzer through the standard OBD vehicle diagnostic interface, key vehicle operating parameters are automatically captured at the end of each stage of the national standard shortened method test (such as the CLTC cycle and constant speed segment). The actual mileage driven by the vehicle, the cumulative battery discharge, the remaining driving range displayed on the instrument panel, and energy consumption data are used as the core dataset reflecting the battery discharge characteristics. At the same time, after the test, the vehicle is fully charged using an AC charging pile that meets national standards, and the charging process data (such as total charge amount, charging time, etc.) are accurately recorded, providing a reliable data foundation for the accurate calculation of the subsequent battery state of health (SOH).

[0064] Accordingly, step S20 specifically includes the following steps: Based on the discharge process data, the discharge process health component for each CLTC cycle stage is calculated using the following formula:

[0065]

[0066]

[0067] in, For the health of the discharge process, For the c-th CLTC cycle phase, the phase health component is... The weight coefficients are for the c-th CLTC cycle phase. This represents the actual discharge amount of the battery during the c-th CLTC cycle. This represents the total discharge amount during the entire test process. The weighting coefficients for the first CLTC cycle phase. The weighting coefficients for the second CLTC cycle phase. This represents the discharge process health component during the c-th CLTC cycle test phase. This represents the remaining driving range displayed on the dashboard at the start of test phase c. The remaining driving range displayed on the dashboard at the end of test phase c. This represents the actual mileage driven during test phase c. The charging process health status is calculated based on the charging process data using the following formula:

[0068] in, For the health of the charging process, This is a correction factor for charging efficiency. To measure the actual charging amount, This represents the total discharge amount during the entire test process; The SOH values ​​during the discharge process and the SOH values ​​during the charging process are weighted and fused to obtain the final battery SOH value using the following formula:

[0069] in, For the final battery health status, As the first weighting coefficient, For the health of the discharge process, This is the second weighting coefficient. To assess the health of the charging process.

[0070] In a specific implementation, this embodiment includes a battery SOH synchronous calculation system for in-use conformity testing of electric vehicles. The system includes an environmental control module, an operating condition simulation module, a data acquisition module, a calculation and storage module, a judgment module, a result output module, and a power supply module.

[0071] As shown in Table 1, Table 1 is a table of examples of the core components and core functions of each module.

[0072]

[0073] Accordingly, the core algorithms include: Preparation for shortening energy consumption test: According to the requirements of GB / T18386, the shortened operating conditions were implemented, and data was collected synchronously. Actual test data: vehicle's actual mileage, battery discharge, and post-test charging amount.

[0074] Instrument panel data: Remaining range displayed on the vehicle's instrument panel.

[0075] Test execution: Record the remaining range M0 displayed on the vehicle's instrument panel before the start of the test; conduct a normal temperature shortening test based on GB / T18386.1-2021, divide the entire test into 7 stages, and record the relevant data at the end of each stage.

[0076] As shown in Table 2, Table 2 is a table of example test conditions.

[0077]

[0078] Dynamic calculation of SOH: ① Calculate the SOH for each stage separately, using the following formula: SOH DC,1 =(M0-M1) / d1……………………(1) SOH DC,2 =(M1-M2) / d2……………………(2) SOH DC,3 =(M CSSM -M3) / d3……………………(3) SOH DC,4 =(M3-M4) / d4……………………(4) SOH AC =95%·EAC / (E1+E2+E3+E4+ECSS M +ECSS E )………………(5) Among them, SOH DC,c The battery pack health (SOH) is calculated based on the change in electrical energy during the c-th complete CLTC cycle, expressed in % (%). c is the test cycle number, with a total of 4 cycles; SOH AC The results are calculated based on the battery pack health during the charging process, expressed as % . ② Calculate the total discharge amount according to formula (6) E DC =E1+E2+E3+E4+E CSSM +E CSSE …………………………(6) ③ Calculate the battery pack health based on the discharge process according to formula (7). SOH DC = …………………………(7) Where c is the test cycle number, and there are a total of 4 cycles; …………………………(8) K c The weight coefficients for the c-th complete CLTC cycle are calculated according to formula (8): Where Ec is the discharge amount of the c-th complete CLTC cycle; ④ Calculate the final SOH according to formula (9), SOH=SOH DC 0.8+SOH AC0.2…………………………(9) The weighting coefficient can be any value other than 0.8 or 0.2, and this embodiment does not impose any restrictions on it.

[0079] This embodiment, through the above-described scheme, uses the national standard shortening method for energy consumption testing, dividing the testing process into predetermined stages including multiple CLTC cycles and constant speed segments. Simultaneously collecting discharge and charging data of the pure electric vehicle under evaluation at each stage enables the concurrent performance of energy consumption testing and battery health status assessment. This significantly shortens testing time and avoids the need for additional testing equipment and special data access permissions. By naturally acquiring regular vehicle operating data to construct a complete charging and discharging data chain, it significantly improves testing efficiency and reduces implementation costs, providing efficient, reliable, and economical technical support for the supervision of pure electric vehicles in use and the evaluation of battery performance.

[0080] Furthermore, Figure 4 This is a flowchart illustrating the third embodiment of the SOH calculation method for pure electric vehicle batteries of the present invention, as shown below. Figure 4 As shown, a third embodiment of the SOH calculation method for pure electric vehicle batteries of the present invention is proposed based on the first embodiment. In this embodiment, step S20 specifically includes the following steps: Step S21: Determine the corresponding preset threshold based on the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated.

[0081] It should be noted that, based on the specific type of the vehicle to be evaluated (such as M1 passenger cars, M2 light commercial vehicles, or N1 freight vehicles), and combined with its actual years of use (accurate to the month) and cumulative mileage (accurate to the kilometer), the corresponding judgment criteria are automatically matched from the preset threshold database according to the first-come-first-served principle (i.e., the condition reached first is used as the standard). For example, the 85% SOH threshold applies to M1 vehicles after 5 years of use or 100,000 kilometers of driving. This dynamic threshold determination mechanism fully considers the differences in the usage characteristics and battery aging patterns of different types of vehicles, avoids a one-size-fits-all judgment method, and makes the battery health status assessment more scientific and reasonable, in line with the actual use scenarios of vehicles, and provides accurate and objective technical basis for the supervision of vehicles in use.

[0082] Step S22: Compare the final battery SOH value with the preset threshold. When the final battery SOH value is greater than or equal to the preset threshold, determine that the current battery health status meets the current vehicle usage requirements.

[0083] It should be understood that the final battery health status (SOH) value, calculated and weighted by dual paths, will be precisely compared with a preset threshold dynamically determined based on vehicle type, years of use, and cumulative mileage. When the SOH value reaches or exceeds the threshold (for example, for M1 class vehicles, it is required to be no less than 85% within 5 years of use), the current battery performance will be automatically determined.

[0084] Step S23: When the final battery SOH value is less than the preset threshold, it is determined that the current battery health status does not meet the current vehicle usage requirements.

[0085] Understandably, when the final State of Health (SOH) value obtained through scientific calculation is lower than a preset threshold dynamically determined based on vehicle type, years of use, and cumulative mileage (e.g., M1 category vehicles are required to have a SOH value of no less than 85% within 5 years of use), the battery is automatically determined to be unable to meet the safety and range requirements of the vehicle in use.

[0086] Furthermore, after step S30, the method for calculating the SOH of a pure electric vehicle battery also includes the following steps: When the actual real-time mileage and the remaining range displayed on the instrument panel exceed the reasonable range at a certain stage, the SOH value for the current stage will be forcibly set to 100%. When a data acquisition interruption is detected, the SOH value from the previous stage is used as a temporary replacement value, and the abnormal log information is recorded.

[0087] It should be understood that when an anomaly is detected between the actual mileage driven during a certain test phase and the displayed remaining range ratio (e.g., d...), the test will be cancelled. n / M n When the SOH value is greater than 1.05 (indicating that the actual driving distance far exceeds the remaining range displayed on the instrument panel), it is determined that there may be a data acquisition error or a vehicle BMS system malfunction. In this case, the SOH value of this stage is forcibly set to 100% to avoid abnormal data having an excessive impact on the overall result. When data acquisition interruption or loss is detected, the SOH value calculated in the previous stage is automatically used as a temporary replacement value to ensure the continuity of the calculation process. At the same time, the anomaly type, occurrence time and related parameters are recorded in detail in the log system to provide a basis for subsequent data analysis and problem investigation. This dual anomaly handling mechanism significantly enhances the robustness and engineering practicality of the algorithm, effectively prevents the distortion of the overall calculation results caused by local data anomalies, and ensures the reliability and stability of battery health status assessment in complex test environments.

[0088] In the specific implementation, the exception handling mechanism is as follows: ① If the actual mileage exceeds the displayed mileage by a significant amount during a certain period, d n / M n >1.05, SOH in this stagen Forced to take 100%; ② If data is interrupted, the SOH value from the previous stage will be used as a temporary substitute, and the exception log will be recorded.

[0089] Automatic compliance check: According to relevant standards, if the SOH calculated at the end of the test does not meet the relevant requirements in Table 3, the system will automatically judge it as NG, otherwise it will be judged as OK.

[0090] As shown in Table 3, Table 3 is an example table for judging the health of power batteries in pure electric vehicles.

[0091]

[0092] It should be noted that the beneficial effects of this embodiment include: 1) Improved efficiency, simultaneously completing range and energy consumption compliance testing and SOH calculation, improving efficiency and reducing test costs; 2) No need for voltage and internal resistance sensors, no additional test equipment required, reducing hardware costs; 3) Modular design, supporting the addition of parameters later, and the algorithm can be optimized through software upgrades; 4) Strong data correlation, SOH is calculated based on national standard test conditions, which is more in line with actual use scenarios.

[0093] This embodiment, through the above-described scheme, determines a corresponding preset threshold based on the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated; compares the final battery SOH value with the preset threshold; when the final battery SOH value is greater than or equal to the preset threshold, it is determined that the current battery health status meets the current vehicle use requirements; when the final battery SOH value is less than the preset threshold, it is determined that the current battery health status does not meet the current vehicle use requirements; it can automatically match dynamic threshold standards based on multi-dimensional parameters such as vehicle type, years of use, and cumulative mileage, and achieve objective and accurate determination of battery health status through a quantitative comparison mechanism, effectively avoiding the subjectivity and inconsistency of traditional manual experience judgment, and significantly improving the scientificity and reliability of pure electric vehicle in-use supervision.

[0094] Accordingly, the present invention further provides a pure electric vehicle battery SOH calculation device.

[0095] Reference Figure 5 , Figure 5 This is a functional block diagram of the first embodiment of the pure electric vehicle battery SOH calculation device of the present invention.

[0096] In a first embodiment of the pure electric vehicle battery SOH calculation device of the present invention, the pure electric vehicle battery SOH calculation device includes: The data acquisition module 10 is used to conduct energy consumption tests based on the national standard shortening method, and simultaneously collects discharge process data and charging process data of the pure electric vehicle under evaluation at each stage.

[0097] The SOH value acquisition module 20 is used to calculate the SOH value of each stage of the discharge process based on the discharge process data, calculate the SOH value of the charging process based on the charging process data, and perform weighted fusion of the discharge process SOH value and the charging process SOH value to obtain the final battery SOH value.

[0098] The judgment module 30 is used to automatically determine whether the current battery health status meets the current vehicle use requirements based on the final battery SOH value, combined with the vehicle type, service life and cumulative mileage of the pure electric vehicle to be evaluated, according to a preset threshold standard.

[0099] The data acquisition module 10 is also used to conduct energy consumption tests based on the national standard shortening method, dividing the test process into predetermined stages including multiple CLTC cycles and constant speed segments; and simultaneously collecting discharge process data and charging process data of the pure electric vehicle to be evaluated in each stage.

[0100] The data acquisition module 10 is also used to execute the test process on the chassis dynamometer according to the preset CLTC working condition cycle and constant speed segment combination program when conducting pure electric vehicle energy consumption test based on the national standard shortening method; the entire test process is divided into the first CLTC cycle segment, the second CLTC cycle segment, the first constant speed segment, the third CLTC cycle segment, the fourth CLTC cycle segment, the second constant speed segment, and the final charging stage.

[0101] The data acquisition module 10 is also used to collect key parameters of the pure electric vehicle under evaluation at the end of each stage in real time using the vehicle OBD interface and an external CAN bus analyzer; and to use the actual driving mileage, cumulative discharge of the power battery, remaining driving range displayed on the instrument panel, and energy consumption data corresponding to each stage as discharge process data for each stage; and to obtain charging process data of the pure electric vehicle under evaluation being charged using an AC charging pile at each stage.

[0102] The SOH value acquisition module 20 is also used to calculate the discharge process health component of each CLTC cycle stage based on the discharge process data using the following formula:

[0103]

[0104]

[0105] in, For the health of the discharge process, For the c-th CLTC cycle phase, the phase health component is... The weight coefficients are for the c-th CLTC cycle phase. This represents the actual discharge amount of the battery during the c-th CLTC cycle. This represents the total discharge amount during the entire test process. The weighting coefficients for the first CLTC cycle phase. The weighting coefficients for the second CLTC cycle phase. This represents the discharge process health component during the c-th CLTC cycle test phase. This represents the remaining driving range displayed on the dashboard at the start of test phase c. The remaining driving range displayed on the dashboard at the end of test phase c. This represents the actual mileage driven during test phase c. The charging process health status is calculated based on the charging process data using the following formula:

[0106] in, For the health of the charging process, This is a correction factor for charging efficiency. To measure the actual charging amount, This represents the total discharge amount during the entire test process; The SOH values ​​during the discharge process and the SOH values ​​during the charging process are weighted and fused to obtain the final battery SOH value using the following formula:

[0107] in, For the final battery health status, As the first weighting coefficient, For the health of the discharge process, This is the second weighting coefficient. To assess the health of the charging process.

[0108] The judgment module 30 is further configured to determine a corresponding preset threshold based on the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated; compare the final battery SOH value with the preset threshold; determine that the current battery health status meets the current vehicle use requirements when the final battery SOH value is greater than or equal to the preset threshold; and determine that the current battery health status does not meet the current vehicle use requirements when the final battery SOH value is less than the preset threshold.

[0109] The judgment module 30 is also used to forcibly set the SOH value of the current stage to 100% when it detects that the ratio of the real-time actual driving mileage and the real-time displayed remaining range exceeds the corresponding reasonable range; when it detects that the data acquisition is interrupted, it uses the SOH value of the previous stage as a temporary replacement value and records the abnormal log information.

[0110] The steps for implementing each functional module of the pure electric vehicle battery SOH calculation device can be referred to in the various embodiments of the pure electric vehicle battery SOH calculation method of the present invention, and will not be repeated here.

[0111] Furthermore, this embodiment of the invention also proposes a storage medium storing a pure electric vehicle battery SOH calculation program, which, when executed by a processor, performs the following operations: Energy consumption testing was conducted based on the national standard shortening method, and data on the discharge and charging processes of the pure electric vehicle under evaluation were collected simultaneously at each stage. The SOH value of the discharge process at each stage is calculated based on the discharge process data, and the SOH value of the charging process is calculated based on the charging process data. The SOH values ​​of the discharge process and the SOH values ​​of the charging process are weighted and fused to obtain the final SOH value of the battery. Based on the final battery SOH value, combined with the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, the system automatically determines whether the current battery health status meets the current vehicle usage requirements according to a preset threshold standard.

[0112] Furthermore, when the pure electric vehicle battery SOH calculation program is executed by the processor, it also performs the following operations: Energy consumption testing is conducted based on the national standard shortening method, and the testing process is divided into predetermined stages that include multiple CLTC cycles and constant speed sections. Simultaneously collect discharge and charging process data of the pure electric vehicle to be evaluated at each stage.

[0113] Furthermore, when the pure electric vehicle battery SOH calculation program is executed by the processor, it also performs the following operations: When conducting energy consumption tests on pure electric vehicles based on the national standard shortening method, the test procedure is executed on the chassis dynamometer according to the preset CLTC working condition cycle and constant speed section combination program. The entire testing process is divided into the first CLTC cycle segment, the second CLTC cycle segment, the first constant speed segment, the third CLTC cycle segment, the fourth CLTC cycle segment, the second constant speed segment, and the final charging stage.

[0114] Furthermore, when the pure electric vehicle battery SOH calculation program is executed by the processor, it also performs the following operations: The key parameters of the pure electric vehicle under evaluation at the end of each stage are collected in real time using the on-board OBD interface and an external CAN bus analyzer. The actual driving mileage of the vehicle, the cumulative discharge of the power battery, the remaining driving range displayed on the instrument panel, and the energy consumption data corresponding to each stage are used as the discharge process data for each stage. Acquire charging process data of the pure electric vehicle to be evaluated at each stage of charging using AC charging piles.

[0115] Furthermore, when the pure electric vehicle battery SOH calculation program is executed by the processor, it also performs the following operations: Based on the discharge process data, the discharge process health component for each CLTC cycle stage is calculated using the following formula:

[0116]

[0117]

[0118] in, For the health of the discharge process, For the c-th CLTC cycle phase, the phase health component is... The weight coefficients are for the c-th CLTC cycle phase. This represents the actual discharge amount of the battery during the c-th CLTC cycle. This represents the total discharge amount during the entire test process. The weighting coefficients for the first CLTC cycle phase. The weighting coefficients for the second CLTC cycle phase. This represents the discharge process health component during the c-th CLTC cycle test phase. This represents the remaining driving range displayed on the dashboard at the start of test phase c. The remaining driving range displayed on the dashboard at the end of test phase c. This represents the actual mileage driven during test phase c. The charging process health status is calculated based on the charging process data using the following formula:

[0119] in, For the health of the charging process, This is a correction factor for charging efficiency. To measure the actual charging amount, This represents the total discharge amount during the entire test process; The SOH values ​​during the discharge process and the SOH values ​​during the charging process are weighted and fused to obtain the final battery SOH value using the following formula:

[0120] in, For the final battery health status, As the first weighting coefficient, For the health of the discharge process, This is the second weighting coefficient. To assess the health of the charging process.

[0121] Furthermore, when the pure electric vehicle battery SOH calculation program is executed by the processor, it also performs the following operations: The corresponding preset threshold is determined based on the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated; The final battery SOH value is compared with the preset threshold. When the final battery SOH value is greater than or equal to the preset threshold, it is determined that the current battery health status meets the current vehicle usage requirements. When the final battery SOH value is less than the preset threshold, it is determined that the current battery health status does not meet the current vehicle usage requirements.

[0122] Furthermore, when the pure electric vehicle battery SOH calculation program is executed by the processor, it also performs the following operations: When the actual real-time mileage and the remaining range displayed on the instrument panel exceed the reasonable range at a certain stage, the SOH value for the current stage will be forcibly set to 100%. When a data acquisition interruption is detected, the SOH value from the previous stage is used as a temporary replacement value, and the abnormal log information is recorded.

[0123] Those skilled in the art will understand that all or part of the steps in the methods described above can be implemented by a program instructing related hardware. The program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium is a computer-readable storage medium, including: USB flash drive, mobile hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and other media that can store program code.

[0124] It should be noted that, in this document, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus; and, without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0125] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0126] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for calculating the State of Harm (SOH) of a pure electric vehicle battery, characterized in that, The method for calculating the State of Harm (SOH) of a pure electric vehicle battery includes: Energy consumption testing was conducted based on the national standard shortening method, and data on the discharge and charging processes of the pure electric vehicle under evaluation were collected simultaneously at each stage. The SOH value of the discharge process at each stage is calculated based on the discharge process data, and the SOH value of the charging process is calculated based on the charging process data. The SOH values ​​of the discharge process and the SOH values ​​of the charging process are weighted and fused to obtain the final SOH value of the battery. Based on the final battery SOH value, combined with the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, the system automatically determines whether the current battery health status meets the current vehicle usage requirements according to a preset threshold standard.

2. The method for calculating the State of Harm (SOH) of a pure electric vehicle battery as described in claim 1, characterized in that, The energy consumption test based on the national standard shortening method simultaneously collects discharge and charging process data of the pure electric vehicle under evaluation at each stage, including: Energy consumption testing is conducted based on the national standard shortening method, and the testing process is divided into predetermined stages that include multiple CLTC cycles and constant speed sections. Simultaneously collect discharge and charging process data of the pure electric vehicle to be evaluated at each stage.

3. The method for calculating the state of harm (SOH) of a pure electric vehicle battery as described in claim 2, characterized in that, The energy consumption test based on the national standard shortening method divides the test process into predetermined stages, including multiple CLTC cycles and constant speed sections, including: When conducting energy consumption tests on pure electric vehicles based on the national standard shortening method, the test procedure is executed on the chassis dynamometer according to the preset CLTC working condition cycle and constant speed section combination program. The entire testing process is divided into the first CLTC cycle segment, the second CLTC cycle segment, the first constant speed segment, the third CLTC cycle segment, the fourth CLTC cycle segment, the second constant speed segment, and the final charging stage.

4. The method for calculating the state of harm (SOH) of a pure electric vehicle battery as described in claim 2, characterized in that, The synchronous collection of discharge and charging process data of the pure electric vehicle under evaluation at each stage includes: The key parameters of the pure electric vehicle under evaluation at the end of each stage are collected in real time using the on-board OBD interface and an external CAN bus analyzer. The actual driving mileage of the vehicle, the cumulative discharge of the power battery, the remaining driving range displayed on the instrument panel, and the energy consumption data corresponding to each stage are used as the discharge process data for each stage. Acquire charging process data of the pure electric vehicle to be evaluated at each stage of charging using AC charging piles.

5. The method for calculating the State of Harm (SOH) of a pure electric vehicle battery as described in claim 1, characterized in that, The process of calculating the SOH value of each stage of the discharge process based on the discharge process data, calculating the SOH value of the charging process based on the charging process data, and weighting and fusing the SOH values ​​of the discharge process and the SOH values ​​of the charging process to obtain the final battery SOH value includes: Based on the discharge process data, the discharge process health component for each CLTC cycle stage is calculated using the following formula: in, For the health of the discharge process, For the c-th CLTC cycle phase, the phase health component is... The weight coefficients are for the c-th CLTC cycle phase. This represents the actual discharge amount of the battery during the c-th CLTC cycle. This represents the total discharge amount during the entire test process. The weighting coefficients for the first CLTC cycle phase. The weighting coefficients for the second CLTC cycle phase. This represents the discharge process health component during the c-th CLTC cycle test phase. This represents the remaining driving range displayed on the dashboard at the start of test phase c. The remaining driving range displayed on the dashboard at the end of test phase c. This represents the actual mileage driven during test phase c. The charging process health status is calculated based on the charging process data using the following formula: in, For the health of the charging process, This is a correction factor for charging efficiency. To measure the actual charging amount, This represents the total discharge amount during the entire test process; The SOH values ​​during the discharge process and the SOH values ​​during the charging process are weighted and fused to obtain the final battery SOH value using the following formula: in, For the final battery health status, As the first weighting coefficient, For the health of the discharge process, This is the second weighting coefficient. To assess the health of the charging process.

6. The method for calculating the State of Harm (SOH) of a pure electric vehicle battery as described in claim 1, characterized in that, The step of automatically determining whether the current battery health status meets the current vehicle usage requirements based on the final battery SOH value, combined with the vehicle type, service life, and cumulative mileage of the pure electric vehicle to be evaluated, according to a preset threshold standard, includes: The corresponding preset threshold is determined based on the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated; The final battery SOH value is compared with the preset threshold. When the final battery SOH value is greater than or equal to the preset threshold, it is determined that the current battery health status meets the current vehicle usage requirements. When the final battery SOH value is less than the preset threshold, it is determined that the current battery health status does not meet the current vehicle usage requirements.

7. The method for calculating the State of Harm (SOH) of a pure electric vehicle battery as described in claim 6, characterized in that, After automatically determining whether the current battery health status meets the current usage requirements based on the final battery SOH value and the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, according to a preset threshold standard, the pure electric vehicle battery SOH calculation method further includes: When the actual real-time mileage and the remaining range displayed on the instrument panel exceed the reasonable range at a certain stage, the SOH value for the current stage will be forcibly set to 100%. When a data acquisition interruption is detected, the SOH value from the previous stage is used as a temporary replacement value, and the abnormal log information is recorded.

8. A battery SOH calculation device for a pure electric vehicle, characterized in that, The pure electric vehicle battery SOH calculation device includes: The data acquisition module is used to conduct energy consumption tests based on the national standard shortening method, and simultaneously collects discharge process data and charging process data of the pure electric vehicle under evaluation at each stage. The SOH value acquisition module is used to calculate the SOH value of each stage of the discharge process based on the discharge process data, calculate the SOH value of the charging process based on the charging process data, and perform weighted fusion of the discharge process SOH value and the charging process SOH value to obtain the final battery SOH value. The judgment module is used to automatically determine whether the current battery health status meets the current vehicle use requirements based on the final battery SOH value, combined with the vehicle type, years of use, and cumulative mileage of the pure electric vehicle to be evaluated, according to a preset threshold standard.

9. A battery SOH calculation device for pure electric vehicles, characterized in that, The pure electric vehicle battery SOH calculation device includes: a memory, a processor, and a pure electric vehicle battery SOH calculation program stored in the memory and executable on the processor, wherein the pure electric vehicle battery SOH calculation program is configured to implement the steps of the pure electric vehicle battery SOH calculation method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores a pure electric vehicle battery SOH calculation program, which, when executed by a processor, implements the steps of the pure electric vehicle battery SOH calculation method as described in any one of claims 1 to 7.

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