Method and system for testing and evaluating health degree of new energy automobile battery

Abstract

The invention relates to the technical field of battery health, and discloses a new energy vehicle battery health degree test evaluation method and system, and the method comprises the steps: carrying out the qualification judgment of a test charging requirement of a battery test environment according to the vehicle attribute, determining the display health degree and energy release amount of a to-be-tested vehicle based on a vehicle battery energy test, and determining the energy release amount of the to-be-tested vehicle; determining the test health degree according to the standard electric energy and the energy release amount of the to-be-tested vehicle, and verifying the battery health degree precision of the to-be-tested vehicle according to the relationship between the display health degree and the test health degree. And verifying the battery health degree precision consistency of the same family according to the display health degrees and the test health degrees of the plurality of vehicles of the same family, and determining the battery health evaluation grade based on the verification result of the battery health degree precision of the to-be-tested vehicle and the verification result of the battery health degree precision consistency of the same family. According to the invention, the test period of the battery health is shortened, and the reliability of the battery health degree test is ensured.

Description

Technical Field

[0001] This invention relates to the field of battery health technology, and more specifically, to a method and system for testing and evaluating the health of batteries in new energy vehicles. Background Technology

[0002] With the increasing popularity of new energy vehicles, users are paying more attention to the health of their batteries. Battery health directly determines a vehicle's range and driving safety. However, current battery health testing, in pursuit of accuracy, requires long-term real-vehicle road tests or bench simulation tests to obtain complete performance data from the battery's newest state to its final state. A complete coverage of the battery's entire lifecycle (charge-discharge cycles) takes 3-5 years, resulting in a long testing period that makes it difficult to match test results with the technical characteristics of next-generation products. If a shorter testing period is used, the vehicle's mileage is typically less than 10,000 kilometers, corresponding to only tens to hundreds of battery charge-discharge cycles, and the battery has not undergone sufficient environmental testing. Therefore, the accuracy of the battery health test results cannot reflect the overall vehicle condition.

[0003] Therefore, it is necessary to design a testing and evaluation method and system for the health of new energy vehicle batteries to solve the problems existing in the current technology. Summary of the Invention

[0004] In view of this, the present invention proposes a test and evaluation method and system for the health of new energy vehicle batteries, aiming to solve the problems that the battery health test cycle is too long, the test results are difficult to match the technical characteristics of the new generation of products, and the results of the battery health test cannot reflect the overall vehicle condition due to the use of a short test cycle.

[0005] In one aspect, this invention proposes a method for testing and evaluating the health of new energy vehicle batteries, comprising: Set up a battery testing environment, obtain the vehicle attributes of the vehicle under test, determine the pass / fail status of the battery testing environment charging requirements based on the vehicle attributes, and determine the charging index of the vehicle under test based on the vehicle attributes. The battery of the vehicle under test is tested based on the charging index and the battery test environment. When the cumulative driving mileage condition or battery health condition is met, the displayed health and energy release of the vehicle under test are determined based on the vehicle battery energy test. The test health is determined according to the standard electrical energy of the vehicle under test and the energy release. The accuracy of the battery health of the vehicle under test is verified based on the relationship between the displayed health and the tested health. Several vehicles of the same series as the vehicle under test are obtained, and the consistency of the battery health accuracy of the same series is verified based on the displayed health and tested health of the several vehicles of the same series. The battery health evaluation level is determined based on the verification results of the accuracy of the battery health of the test vehicle and the verification results of the consistency of the accuracy of the battery health of the same family.

[0006] Furthermore, when acquiring the vehicle attributes of the vehicle under test and determining the pass / fail status of the battery testing environment's charging requirements based on the vehicle attributes, the process includes: The vehicle attributes include pure electric vehicles and hybrid electric vehicles; If the vehicle under test is a pure electric vehicle, and the vehicle under test does not meet the SRC curve, then the test charging requirement is deemed to be qualified; otherwise, the test charging requirement is deemed to be unqualified. If the vehicle under test is a hybrid electric vehicle, and the vehicle speed is 97 km / h in the 4th to 6th operating cycle of the SRC curve, and the engine stops working during the cruising speed, then the test charging requirement is deemed unqualified; otherwise, the test charging requirement is deemed qualified.

[0007] Furthermore, when determining the charging index of the test vehicle based on the vehicle attributes, the process includes: If the vehicle to be tested is a pure electric vehicle, charging shall be carried out within 2 hours after the test charging requirements are deemed to be qualified. If the vehicle to be tested is a hybrid electric vehicle, charging shall be carried out within 12 hours after the test charging requirements are deemed to be qualified. When the test vehicle has accumulated 10,000 kilometers of driving, the ratio of the total driving mileage after charging to 10,000 kilometers is greater than or equal to 90%, and the accumulated driving mileage of the test vehicle is recorded.

[0008] Furthermore, when the cumulative mileage conditions or battery health conditions are met, including: The cumulative mileage condition is that the cumulative mileage of the test vehicle reaches 50,000 kilometers; The battery health conditions are defined as follows: the test shows a health level of less than or equal to 99%, and the cumulative mileage of the test vehicle is greater than or equal to 20,000 kilometers.

[0009] Furthermore, when determining the test health status based on the standard electrical energy of the vehicle under test and the energy release amount, the process includes: The health status test is determined using the following formula: ; in, This indicates a test of health status. Indicates the amount of energy released. Indicates standard electrical energy; If the energy release exceeds the standard electrical energy, the test health level is 100%.

[0010] Furthermore, when verifying the accuracy of the battery health of the vehicle under test based on the relationship between the displayed health level and the tested health level, the process includes: If the difference between the displayed health level and the tested health level is less than or equal to 5%, the battery health level accuracy of the vehicle under test is determined to pass the verification and the battery health level accuracy of the vehicle under test is determined to be excellent; otherwise, a second vehicle battery energy test is conducted. If a second vehicle battery energy test is conducted, the display health, energy release, and test health of the vehicle under test are redefined. The average display health after the two tests is calculated, and the average test health after the two tests is also calculated. If the difference between the displayed average health value and the tested average health value is less than or equal to 5%, the battery health accuracy of the vehicle under test is determined to pass the verification and the battery health accuracy of the vehicle under test is determined to be excellent; otherwise, a third vehicle battery energy test is conducted. If the battery health accuracy of the vehicle under test fails the verification after the third vehicle battery energy test, the battery health accuracy of the vehicle under test will be determined as unqualified.

[0011] Furthermore, when verifying the consistency of battery health accuracy across the same battery family based on the displayed and tested health scores of several vehicles from the same family, the following steps are taken: Determine the mean and standard deviation of vehicles in the same series using the following formulas; ; ; ; in, Indicates the first Health difference between vehicles of the same series, SOCE read,i Indicates the first The health status of vehicles within the same series, Indicates the first Health status of vehicles in the same series This represents the average value of vehicles within the same product line. This indicates the standard deviation of vehicles within the same series. This represents the number of vehicles in the same series, and 3 ≤ ≤16; The consistency of battery health accuracy within the same family is verified based on the mean and standard deviation of vehicles in the same family.

[0012] Furthermore, when verifying the consistency of battery health accuracy across the same family of vehicles based on the mean and standard deviation of the same family of vehicles, the following steps are included: Determine the first parameter Second parameter Third parameter and the fourth parameter And determine the deviation benchmark value. It is 5; like ≤ If the accuracy of battery health is consistent within the same family, the verification is passed. like > If the accuracy of battery health is not consistent within the same family, it is determined that the verification has failed. like < ≤ If so, the number of vehicles in the same series will be increased, and the consistency of battery health accuracy within the same series will be re-verified.

[0013] Furthermore, when determining the battery health evaluation level based on the pass / fail judgment result of the battery health accuracy accuracy of the test vehicle and the pass / fail judgment result of the consistency of battery health accuracy accuracy within the same family, the following steps are included: If the battery health accuracy of the vehicle under test is determined to be excellent, and the consistency of battery health accuracy within the same family is verified, then the battery health evaluation level of the vehicle under test is determined to be excellent; otherwise, the battery health evaluation level of the vehicle under test is determined to be unqualified.

[0014] Compared with existing technologies, the advantages of this invention are as follows: By establishing a battery testing environment and determining charging indicators based on the vehicle attributes of the test vehicle, the data accumulation throughout the entire life cycle is shortened, allowing for targeted testing and ensuring the reliability of new energy vehicle updates. Using accumulated mileage or battery health conditions as test criteria, and combining vehicle battery energy tests to determine displayed health and energy release, the test health is ultimately calculated. This avoids the inaccuracies caused by insufficient mileage, limited charge-discharge cycles, and inadequate environmental testing in short-cycle tests, ensuring that the test results accurately reflect the overall battery health of the vehicle. Verification is based on the consistency of battery health accuracy within the same battery family, covering both individual battery performance and the batch characteristics of vehicles within the same family, reducing the limitations of a single testing dimension and thus improving the reliability of the test results.

[0015] On the other hand, this application also provides a testing and evaluation system for the health of new energy vehicle batteries, used to apply the above-mentioned testing and evaluation method for the health of new energy vehicle batteries, including: The test judgment module is configured to acquire the vehicle attributes of the vehicle under test, determine the pass / fail status of the test charging requirements of the battery test environment based on the vehicle attributes, and determine the charging index of the vehicle under test based on the vehicle attributes. The test analysis module is configured to test the battery of the vehicle under test based on the charging index and the battery test environment, and when the cumulative driving mileage condition or battery health condition is met, determine the displayed health and energy release of the vehicle under test based on the vehicle battery energy test, and determine the test health based on the standard electrical energy of the vehicle under test and the energy release. The test processing module is configured to verify the accuracy of the battery health of the vehicle under test based on the relationship between the displayed health and the test health, obtain several vehicles of the same series as the vehicle under test, and verify the consistency of the battery health accuracy of the same series based on the displayed health and test health of the several vehicles of the same series. The test evaluation module is configured to determine the battery health evaluation level based on the verification results of the accuracy of the battery health of the vehicle under test and the verification results of the consistency of the accuracy of the battery health of the same family of batteries.

[0016] It is understandable that the above-mentioned testing and evaluation method and system for the health of new energy vehicle batteries have the same beneficial effects, and will not be elaborated further here. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating a method for testing and evaluating the health of new energy vehicle batteries, provided as an embodiment of the present invention; Figure 2 The SRC curve provided for the embodiments of the present invention; Figure 3 This is a functional block diagram of a testing and evaluation system for the health of new energy vehicle batteries, provided as an embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0021] See Figure 1 As shown in some embodiments of this application, this embodiment provides a method for testing and evaluating the health of new energy vehicle batteries, including: S100: Set up a battery testing environment, obtain the vehicle attributes of the vehicle under test, determine the pass / fail status of the battery testing environment's charging requirements based on the vehicle attributes, and determine the charging indicators of the vehicle under test based on the vehicle attributes.

[0022] S200: Based on charging indicators and battery testing environment, the battery of the vehicle under test is tested, and when the cumulative driving mileage condition or battery health condition is met, the displayed health and energy release of the vehicle under test are determined based on the vehicle battery energy test, and the test health is determined according to the standard electrical energy and energy release of the vehicle under test.

[0023] S300: Verify the accuracy of the battery health of the vehicle under test based on the relationship between the displayed health and the tested health. Obtain several vehicles of the same series as the vehicle under test, and verify the consistency of the battery health accuracy of the same series based on the displayed health and tested health of the several vehicles of the same series.

[0024] S400: The battery health rating level is determined based on the verification results of the accuracy of the battery health of the test vehicle and the verification results of the consistency of the accuracy of the battery health of the same family.

[0025] Specifically, the test vehicle is tested on a test road or chassis dynamometer. The operating conditions of the test road or chassis dynamometer adopt the standard road cycle of Appendix GC of GB / T 18352.6-2016. The test environment temperature for the battery includes high temperature, low temperature, and normal temperature, with the high temperature not lower than 30℃. The tests are conducted in the order of low temperature, high temperature, and normal temperature. The solar radiation intensity is 850±45W / m². 2Furthermore, the solar radiation intensity is determined based on the highest point of the vehicle's roof, ensuring that the solar radiation intensity covers the natural fluctuations of solar radiation in the actual environment (such as intensity fluctuations caused by cloud cover changes), thus guaranteeing the reliability of the test results. After setting up the battery test environment, the vehicle attributes of the test vehicle are obtained. Since different test vehicles have different drive systems, their battery capacity, voltage level, charging protocol, and other attributes vary. Therefore, the charging requirements of the battery test environment are judged based on the obtained vehicle attributes to ensure that the charging conditions of the test environment match the actual needs of the test vehicle, preventing data distortion due to substandard charging requirements. Determining the charging indicators of the test vehicle based on the vehicle attributes ensures the compatibility of subsequent tests and battery conditions, allowing the testing process to closely resemble the charging scenarios in actual vehicle use. Based on the determined charging indicators and the completed battery test environment, the battery of the test vehicle is tested, simulating the charge and discharge cycles of the test vehicle in actual use. The changes in battery performance are observed through continuous testing. Furthermore, the displayed health and energy release of the test vehicle are determined based on the vehicle battery energy test only when the cumulative mileage condition or battery health condition is met. If the cumulative mileage condition is not met, it indicates that the battery has had a limited number of charge-discharge cycles, and its battery health performance has not yet been fully demonstrated. The displayed health and energy release obtained through the vehicle battery energy test can only reflect the short-term state and cannot reflect the health changes of the car battery during actual use, leading to deviations in test accuracy. If the battery health condition is not met, it indicates that the car battery is still in a stable stage with a high level of health, and its performance fluctuations are small. The test results are difficult to capture the dynamic changes in health, resulting in insufficient reliability of the health test assessment. Only when either condition is met can it be said that the car battery has undergone a certain degree of simulated use or health state changes, and only then can the vehicle battery energy test accurately capture data representing the health level of the car battery.

[0026] Understandably, vehicle battery energy tests are conducted according to GB / T 18386.1. Furthermore, the energy release for hybrid electric vehicles is determined based on the energy change in GB / T 18386.1-2021, while for other hybrid electric vehicles, the energy release is determined according to GB / T 19753. Display health is the feedback from the vehicle's own display system regarding the battery's health status, which can be determined via the vehicle's OBD port or over-the-air (OTA) transmission. Energy release is the actual energy released by the vehicle battery. The test health is determined based on the standard electrical energy and energy release of the vehicle under test. The test health reflects the battery's health status during the test. Combining the vehicle's own display data with the actual test data ensures the reliability of the accuracy test for vehicle battery health. Several vehicles from the same family as the vehicle under test were acquired. The consistency of battery health accuracy within the same family was verified based on the displayed and tested health values ​​of these vehicles. Vehicles within the same family share similarities in battery configuration and manufacturing processes; verifying their consistency helps understand the stability of battery health test results and identify common issues in the testing process. The battery health evaluation level is determined based on the verification results of the vehicle under test's battery health accuracy and the verification results of the consistency of battery health accuracy within the same family. This approach avoids the problem of long battery health testing cycles and ensures that the test accuracy results reflect the overall vehicle condition through consistency verification of battery health accuracy within the same family.

[0027] See Figure 2 As shown, in some embodiments of this application, when obtaining the vehicle attributes of the vehicle under test and determining the pass / fail status of the battery testing environment charging requirements based on the vehicle attributes, the following steps are taken: the vehicle attributes include pure electric vehicles and hybrid electric vehicles. If the vehicle under test is a pure electric vehicle, and the vehicle under test does not meet the SRC curve, the charging requirements are deemed to be passable; otherwise, the charging requirements are deemed to be failable. If the vehicle under test is a hybrid electric vehicle, and the vehicle speed is 97 km / h in the 4th to 6th operating cycle segments of the SRC curve, and the engine stops working during the cruising speed period, the charging requirements are deemed to be failable; otherwise, the charging requirements are deemed to be passable.

[0028] Specifically, the SRC curve is a speed-time standardized curve that simulates real-world road conditions. It specifies the vehicle speed that should be reached at each time point during the test and serves as a data benchmark for evaluating vehicle power, battery durability, and emissions performance. Based on the SRC curve and the vehicle's attributes, a suitability assessment standard is determined. For pure electric vehicles, the battery is the sole power source, and charging characteristics directly determine the reliability of the test. If the test vehicle does not meet the SRC curve, it indicates that the vehicle cannot reach the speed it should achieve at each time point during the test, and the battery energy has been consumed to some extent. In this case, the charging requirements are deemed acceptable. For hybrid electric vehicles (HEVs), the battery and engine work in tandem. The 4th to 6th operating cycles of the SRC curve focus on the medium-to-high speed driving phase. This phase is a high-frequency scenario for HEVs to switch power modes (engine and battery working together or independently). The specific speed (97 km / h) within this range was chosen because it is a typical speed for medium-to-high speed cruising in HEVs, aligning with the common cruising range used by most users in daily driving. If the speed reaches 97 km / h within this range and the engine stops working, it indicates that the test vehicle has not consumed enough energy from the battery before it begins to output energy during high-speed cruising. In this case, the charging requirement is deemed unqualified and further testing is required. Conversely, if the charging requirement is met, it indicates that the power system primarily relies on the battery for energy output, and the charging requirement is deemed acceptable. This approach avoids data deviations caused by incompatible charging requirements, providing a data foundation for subsequent tests and ensuring the reliability of the test data.

[0029] In some embodiments of this application, when determining the charging index of the test vehicle based on vehicle attributes, the following steps are included: if the test vehicle is a pure electric vehicle, charging is performed within 2 hours after the test charging requirement is deemed qualified; if the test vehicle is a hybrid electric vehicle, charging is performed within 12 hours after the test charging requirement is deemed qualified; and when the test vehicle has accumulated 10,000 kilometers of driving, the ratio of the total driving mileage completed by charging to 10,000 kilometers is greater than or equal to 90%, and the accumulated driving mileage of the test vehicle is recorded.

[0030] Specifically, for pure electric vehicles, charging is required within a short period after the charging requirement test is passed. A depleted battery in a pure electric vehicle will affect the battery test, making it impossible to simulate real-world driving conditions. Furthermore, the frequent charging and discharging process ensures the accuracy of the battery health test. Hybrid electric vehicles, with an engine as auxiliary power, have a relatively low battery load and require less stringent charging timeliness. This ensures the battery can be replenished promptly while also adapting to the hybrid power characteristics, allowing for slow battery discharge during driving and avoiding interference with test data from excessively frequent charging. When charging the test vehicles, both DC fast charging and AC slow charging are used. During the cumulative mileage, the ratio of the total mileage completed by DC fast charging to 10,000 kilometers is greater than or equal to 90%. For older test vehicles that may not have fast charging interfaces, AC slow charging is used, ensuring that the ratio of the total mileage completed by AC slow charging to 10,000 kilometers is greater than or equal to 90%. The requirement that the total mileage driven after charging be a high percentage of the cumulative 10,000 kilometers ensures that the car battery undergoes sufficient charge-discharge cycles during the test. Only when the mileage driven after charging is sufficiently high can it accurately reflect that the car battery is in a normal charge-discharge state during the test cycle, rather than relying on other power sources (engine) for a long time or being idle with low charge. This avoids data distortion due to insufficient charge-discharge cycles and further ensures the accuracy of the test.

[0031] In some embodiments of this application, when the cumulative mileage condition or battery health condition is met, the conditions include: the cumulative mileage condition is that the cumulative mileage of the test vehicle reaches 50,000 kilometers, and the battery health condition is that the test shows a health level of less than or equal to 99%, and the cumulative mileage of the test vehicle is greater than or equal to 20,000 kilometers.

[0032] Specifically, after testing the battery of the test vehicle according to charging indicators and battery testing environment, the cumulative mileage condition corresponds to the law of battery degradation. 50,000 kilometers is the degradation node determined based on a large number of automotive battery testing experiments. At this stage, the automotive battery has undergone sufficient charge-discharge cycles and operating condition tests. The changes in battery health status at this time can truly reflect the performance trend in long-term use, avoiding data deviation caused by insufficient test mileage. Battery health conditions correspond to the accelerated evolution of battery degradation. The test shows that the health level is less than or equal to 99%, which is the health level currently fed back by the vehicle's OBD port or over-the-air (OTA) transmission after the test. This indicates that the automotive battery has experienced a visible decline in health. The cumulative mileage is greater than or equal to 20,000 kilometers, avoiding the possibility that the battery's health fluctuates temporarily due to accidental factors (such as a single extreme operating condition) within a short mileage, rather than being a true degradation. This ensures that the power battery has undergone sufficient charge-discharge cycles and operating condition accumulation. The testing process has been adjusted from the entire life cycle to a testing range of 20,000 to 50,000 kilometers, avoiding the problem of a long battery health testing cycle, thus taking into account testing efficiency.

[0033] In some embodiments of this application, when determining the test health level based on the standard electrical energy and energy release of the vehicle under test, the test health level is determined by the following formula: ; in, This indicates a test of health status. Indicates the amount of energy released. This represents the standard electrical energy. If the energy release exceeds the standard electrical energy, the health level is 100%.

[0034] In some embodiments of this application, when verifying the accuracy of the battery health of the vehicle under test based on the relationship between the displayed health and the tested health, the process includes: if the difference between the displayed health and the tested health is less than or equal to 5%, the battery health accuracy of the vehicle under test is determined to pass the verification and is rated as excellent; otherwise, a second vehicle battery energy test is conducted. If a second vehicle battery energy test is conducted, the displayed health, energy release, and tested health of the vehicle under test are re-determined, and the average of the displayed health after the two tests is calculated, as well as the average of the tested health after the two tests. If the difference between the average displayed health and the average tested health is less than or equal to 5%, the battery health accuracy of the vehicle under test is determined to pass the verification and is rated as excellent; otherwise, a third vehicle battery energy test is conducted. If, after the third vehicle battery energy test, the battery health accuracy of the vehicle under test fails the verification, the battery health accuracy of the vehicle under test is rated as unqualified.

[0035] Specifically, the battery health test reflects the battery's health status during the testing process. The standard energy level can be determined through the battery manufacturer's instructions or experiments. Typically, a car battery may have some storage redundancy, resulting in stored energy exceeding the nominal standard energy level. Consequently, the energy released will be greater than the standard energy level, and the test health level is set to 100%. The difference between the displayed health level and the tested health level is compared. If the difference is less than or equal to 5%, it indicates that the vehicle's own display system's feedback on battery health is within the allowable deviation range from the actual test results. In this case, the battery health accuracy of the tested vehicle is determined to be excellent. If the difference exceeds 5%, it indicates that the vehicle's own display system's feedback on battery health exceeds the allowable deviation range from the actual test results. A second vehicle battery energy test is then conducted, and the average of the two test results is calculated. If the difference between the average displayed health value and the average tested health value still exceeds 5%, a third vehicle battery energy test is conducted. Otherwise, it indicates that the vehicle's own display system's feedback on battery health after the second test is within the allowable deviation range from the actual test results, and the battery health accuracy of the test vehicle is determined to be excellent. If, after the third vehicle battery energy test, the difference between the average displayed health value and the average tested health value still exceeds 5%, it indicates that the data deviation is not caused by a single test, but rather by a certain deviation in the vehicle's own display system. Therefore, the battery health accuracy of the test vehicle is determined to be unqualified; otherwise, the battery health accuracy of the test vehicle is determined to be excellent. Multiple vehicle battery energy tests reduce the random errors of a single test, thereby ensuring the reliability of battery health testing.

[0036] In some embodiments of this application, when verifying the consistency of battery health accuracy of the same family based on the displayed health and tested health of several vehicles of the same family, the method includes: determining the mean value and standard deviation of vehicles of the same family according to the following formulas. ; ; ; in, Indicates the first Health difference between vehicles of the same series, SOCE read,i Indicates the first The health status of vehicles within the same series, Indicates the first Health status of vehicles in the same series This represents the average value of vehicles within the same product line. This indicates the standard deviation of vehicles within the same series. This represents the number of vehicles in the same series, and 3 ≤ ≤16, based on the mean and standard deviation of vehicles in the same series, the consistency of battery health accuracy is verified.

[0037] In some embodiments of this application, when verifying the consistency of battery health accuracy within the same family based on the mean and standard deviation of vehicles within the same family, the method includes: determining a first parameter. Second parameter Third parameter and the fourth parameter And determine the deviation benchmark value. It is 5. If ≤ If the battery health accuracy consistency within the same family is verified, then the verification is passed. > If so, the consistency of battery health accuracy within the same family is deemed to have failed verification. < ≤ If so, the number of vehicles in the same series will be increased, and the consistency of battery health accuracy within the same series will be re-verified.

[0038] Specifically, the health difference This reflects the accuracy deviation of a single vehicle within the same series. This reflects the overall deviation of the family of vehicles. The standard deviation *s* of vehicles within the same family reflects the dispersion of accuracy differences among vehicles in the family. (First parameter) Second parameter Third parameter and the fourth parameter The values ​​are shown in Table 1, which reflects the t-distribution quantiles of the sample of vehicles from the same series. After testing at least three vehicles from the same series, considering the mean and standard deviation of subsequent additions of vehicles from the same series, as well as deviations throughout the testing process, and provided that the vehicle's own display system's feedback on battery health is within the allowable deviation range (difference less than or equal to 5%), the deviation benchmark value A is set to 5. If ≤ This indicates that the overall deviation of the series is small and the degree of dispersion is low, thus the consistency of battery health accuracy within the same series has been verified. If > If the overall deviation is large and the dispersion is high, then the consistency of battery health accuracy within the same family has not passed the verification. If it is in the middle range, the number of vehicles in the same family should be increased before verification to avoid judgment bias caused by insufficient sample size and to ensure the accuracy of judgment under different sample sizes.

[0039] Table 1. Quantiles of the t-distribution for a sample of vehicles from the same family.

[0040] In some embodiments of this application, when determining the battery health evaluation level based on the pass / fail judgment result of the battery health accuracy accuracy of the vehicle under test and the pass / fail judgment result of the consistency of battery health accuracy accuracy within the same family, the method includes: if the battery health accuracy of the vehicle under test is determined to be excellent, and the consistency of battery health accuracy within the same family is verified, then the battery health evaluation level of the vehicle under test is determined to be excellent; otherwise, the battery health evaluation level of the vehicle under test is determined to be unqualified.

[0041] Specifically, an excellent battery health accuracy for the test vehicle indicates a high degree of matching between the displayed and tested health values. This means the vehicle's display system accurately reflects the actual battery health status. Furthermore, the consistent battery health accuracy across the same family of vehicles is verified, demonstrating that multiple vehicles within the same family can accurately reflect the actual battery health status without individual differences. Therefore, the test vehicle's battery health evaluation level is determined to be excellent. This battery health evaluation level ensures both the reliability of the battery health evaluation for the test vehicle and reflects the group stability of health accuracy across the same family of vehicles. If either condition is not met, either the test vehicle cannot accurately reflect the actual battery health status, or there are significant fluctuations in health accuracy among vehicles within the same family. In this case, the test vehicle's battery health evaluation level is determined to be unqualified. This avoids the problem of a long battery health testing cycle and, through verification of the consistency of battery health accuracy within the same family, ensures that the test accuracy results reflect the overall vehicle condition.

[0042] The above embodiments shorten the data accumulation throughout the entire life cycle by establishing a battery testing environment and determining charging indicators based on the vehicle attributes of the test vehicle. This allows for targeted testing and ensures the reliability of new energy vehicle updates. Accumulated mileage or battery health conditions are used as test criteria, and the displayed health and energy release are determined by combining vehicle battery energy tests. Finally, the test health is calculated, avoiding the inaccuracies caused by insufficient mileage, limited charge-discharge cycles, and inadequate environmental testing in short-cycle tests. This ensures that the test results accurately reflect the overall battery health of the vehicle. Verification is based on the consistency of battery health accuracy within the same battery family, covering both individual battery performance and the batch characteristics of vehicles within the same family. This reduces the limitations of a single testing dimension and improves the reliability of the test results.

[0043] See Figure 3 As shown, this embodiment provides a testing and evaluation system for the health of new energy vehicle batteries, used to apply the above-mentioned testing and evaluation method for the health of new energy vehicle batteries, including: The test judgment module is configured to acquire the vehicle attributes of the vehicle under test, determine the pass / fail status of the battery test environment charging requirements based on the vehicle attributes, and determine the charging index of the vehicle under test based on the vehicle attributes.

[0044] The test analysis module is configured to test the battery of the vehicle under test based on charging indicators and battery test environment. When the cumulative driving mileage condition or battery health condition is met, the module determines the displayed health and energy release of the vehicle under test based on the vehicle battery energy test, and determines the test health based on the standard electrical energy and energy release of the vehicle under test.

[0045] The test processing module is configured to verify the accuracy of the battery health of the vehicle under test based on the relationship between the displayed health and the test health. It obtains several vehicles of the same series as the vehicle under test and verifies the consistency of the battery health accuracy of the same series based on the displayed health and test health of the several vehicles of the same series.

[0046] The test evaluation module is configured to determine the battery health evaluation level based on the verification results of the accuracy of the battery health of the vehicle under test and the verification results of the consistency of the accuracy of the battery health of the same family of batteries.

[0047] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for testing and evaluating the health of batteries in new energy vehicles, characterized in that, include: Set up a battery testing environment, obtain the vehicle attributes of the vehicle under test, determine the pass / fail status of the battery testing environment charging requirements based on the vehicle attributes, and determine the charging index of the vehicle under test based on the vehicle attributes. The battery of the vehicle under test is tested based on the charging index and the battery test environment. When the cumulative driving mileage condition or battery health condition is met, the displayed health and energy release of the vehicle under test are determined based on the vehicle battery energy test. The test health is determined according to the standard electrical energy of the vehicle under test and the energy release. The accuracy of the battery health of the vehicle under test is verified based on the relationship between the displayed health and the tested health. Several vehicles of the same series as the vehicle under test are obtained, and the consistency of the battery health accuracy of the same series is verified based on the displayed health and tested health of the several vehicles of the same series. The battery health evaluation level is determined based on the verification results of the accuracy of the battery health of the test vehicle and the verification results of the consistency of the accuracy of the battery health of the same family.

2. The method for testing and evaluating the health of new energy vehicle batteries according to claim 1, characterized in that, When acquiring the vehicle attributes of the vehicle under test and determining the pass / fail status of the battery charging requirements for the test environment based on the vehicle attributes, the process includes: The vehicle attributes include pure electric vehicles and hybrid electric vehicles; If the vehicle under test is a pure electric vehicle, and the vehicle under test does not meet the SRC curve, then the test charging requirement is deemed to be qualified; otherwise, the test charging requirement is deemed to be unqualified. If the vehicle under test is a hybrid electric vehicle, and the vehicle speed is 97 km / h in the 4th to 6th operating cycle of the SRC curve, and the engine stops working during the cruising speed, then the test charging requirement is deemed unqualified; otherwise, the test charging requirement is deemed qualified.

3. The method for testing and evaluating the health of new energy vehicle batteries according to claim 2, characterized in that, When determining the charging performance indicators of the vehicle under test based on the vehicle attributes, the following steps are included: If the vehicle to be tested is a pure electric vehicle, charging shall be carried out within 2 hours after the test charging requirements are deemed to be qualified. If the vehicle to be tested is a hybrid electric vehicle, charging shall be carried out within 12 hours after the test charging requirements are deemed to be qualified. When the test vehicle has accumulated 10,000 kilometers of driving, the ratio of the total driving mileage after charging to 10,000 kilometers is greater than or equal to 90%, and the accumulated driving mileage of the test vehicle is recorded.

4. The method for testing and evaluating the health of new energy vehicle batteries according to claim 3, characterized in that, When the cumulative driving mileage conditions or battery health conditions are met, including: The cumulative mileage condition is that the cumulative mileage of the test vehicle reaches 50,000 kilometers; The battery health conditions are defined as follows: the test shows a health level of less than or equal to 99%, and the cumulative mileage of the test vehicle is greater than or equal to 20,000 kilometers.

5. The method for testing and evaluating the health of new energy vehicle batteries according to claim 4, characterized in that, When determining the test health status based on the standard electrical energy of the vehicle under test and the energy release amount, the following are included: The health status test is determined using the following formula: ； in, This indicates a test of health status. Indicates the amount of energy released. Indicates standard electrical energy; If the energy release exceeds the standard electrical energy, the test health level is 100%.

6. The method for testing and evaluating the health of new energy vehicle batteries according to claim 5, characterized in that, When verifying the accuracy of the battery health of the vehicle under test based on the relationship between the displayed health level and the tested health level, the following steps are included: If the difference between the displayed health level and the tested health level is less than or equal to 5%, the battery health level accuracy of the vehicle under test is determined to pass the verification and the battery health level accuracy of the vehicle under test is determined to be excellent; otherwise, a second vehicle battery energy test is conducted. If a second vehicle battery energy test is conducted, the display health, energy release, and test health of the vehicle under test are redefined. The average display health after the two tests is calculated, and the average test health after the two tests is also calculated. If the difference between the displayed average health value and the tested average health value is less than or equal to 5%, the battery health accuracy of the vehicle under test is determined to pass the verification and the battery health accuracy of the vehicle under test is determined to be excellent; otherwise, a third vehicle battery energy test is conducted. If the battery health accuracy of the vehicle under test fails the verification after the third vehicle battery energy test, the battery health accuracy of the vehicle under test will be determined as unqualified.

7. The method for testing and evaluating the health of new energy vehicle batteries according to claim 6, characterized in that, When verifying the consistency of battery health accuracy across the same battery family based on the displayed and tested health scores of several vehicles from the same family, the following is included: Determine the mean and standard deviation of vehicles in the same series using the following formulas; ； ； ； in, Indicates the first Health difference between vehicles of the same series, SOCE read,i Indicates the first The health status of vehicles within the same series, Indicates the first Health status of vehicles in the same series This represents the average value of vehicles within the same product line. This indicates the standard deviation of vehicles within the same series. This represents the number of vehicles in the same series, and 3 ≤ ≤16; The consistency of battery health accuracy within the same family is verified based on the mean and standard deviation of vehicles in the same family.

8. The method for testing and evaluating the health of new energy vehicle batteries according to claim 7, characterized in that, When verifying the consistency of battery health accuracy within the same family of vehicles based on the mean and standard deviation of the same family of vehicles, the following is included: Determine the first parameter Second parameter Third parameter and the fourth parameter And determine the deviation benchmark value. It is 5; like ≤ If the accuracy of battery health is consistent within the same family, the verification is passed. like > If the accuracy of battery health is not consistent within the same family, it is determined that the verification has failed. like < ≤ If so, the number of vehicles in the same series will be increased, and the consistency of battery health accuracy within the same series will be re-verified.

9. The method for testing and evaluating the health of new energy vehicle batteries according to claim 8, characterized in that, When determining the battery health evaluation level based on the pass / fail judgment result of the battery health accuracy accuracy of the test vehicle and the pass / fail judgment result of the consistency of battery health accuracy accuracy within the same family, the following is included: If the battery health accuracy of the vehicle under test is determined to be excellent, and the consistency of battery health accuracy within the same family is verified, then the battery health evaluation level of the vehicle under test is determined to be excellent; otherwise, the battery health evaluation level of the vehicle under test is determined to be unqualified.

10. A testing and evaluation system for the health of new energy vehicle batteries, used to apply the testing and evaluation method for the health of new energy vehicle batteries as described in any one of claims 1-9, characterized in that, include: The test judgment module is configured to acquire the vehicle attributes of the vehicle under test, determine the pass / fail status of the test charging requirements of the battery test environment based on the vehicle attributes, and determine the charging index of the vehicle under test based on the vehicle attributes. The test analysis module is configured to test the battery of the vehicle under test based on the charging index and the battery test environment, and when the cumulative driving mileage condition or battery health condition is met, determine the displayed health and energy release of the vehicle under test based on the vehicle battery energy test, and determine the test health based on the standard electrical energy of the vehicle under test and the energy release. The test processing module is configured to verify the accuracy of the battery health of the vehicle under test based on the relationship between the displayed health and the test health, obtain several vehicles of the same series as the vehicle under test, and verify the consistency of the battery health accuracy of the same series based on the displayed health and test health of the several vehicles of the same series. The test evaluation module is configured to determine the battery health evaluation level based on the verification results of the accuracy of the battery health of the vehicle under test and the verification results of the consistency of the accuracy of the battery health of the same family of batteries.

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