A battery performance test system and test method

Abstract

The application relates to a battery performance test system and a test method, and relates to the technical field of battery testing.The system comprises an index determination module configured to determine key indexes for target battery performance testing; a test module configured to test the performance of a target battery based on a pre-constructed scene and the key indexes for target battery performance testing, and obtain multiple test results of the target battery; a state perception module configured to determine key node data corresponding to the multiple test results of the target battery, input the key node data into a battery performance state perception model, and obtain an output result; and a running risk determination module configured to determine a running risk of the target battery according to the output result, determine prompt information according to the running risk, and send the prompt information to a user terminal.The application can improve test efficiency, dynamic response capability, running risk prediction accuracy and compatibility.

Description

Technical Field

[0001] This application relates to the field of battery testing technology, and in particular to a battery performance testing system and testing method. Background Technology

[0002] With the rapid development of electric vehicles, portable electronic devices and renewable energy storage systems, batteries, as the core energy storage unit, directly affect the efficiency, safety and reliability of the overall system. Battery performance testing is an important means of evaluating key indicators such as battery capacity, cycle life, internal resistance and thermal stability, and is of great significance to battery research and development, production and application.

[0003] Currently, traditional battery performance testing methods mainly rely on basic testing techniques such as constant current charge-discharge and cyclic voltammetry. However, these methods suffer from problems such as long testing cycles, insufficient data accuracy, and inability to fully reflect the dynamic characteristics of batteries. In addition, with the popularization of high-energy-density batteries (such as lithium-ion batteries and solid-state batteries), traditional testing methods are unable to accurately assess their performance under complex operating conditions, especially the performance degradation mechanism under conditions such as high-rate charge-discharge, extreme temperature environments, or long-term cyclic aging. Existing improved battery performance testing methods suffer from problems such as low testing efficiency, poor dynamic response, inaccurate aging prediction, and insufficient compatibility. Summary of the Invention

[0004] Therefore, it is necessary to provide an efficient, high-precision, and multi-dimensional integrated battery performance testing system and method to address the aforementioned technical problems.

[0005] In a first aspect, a battery performance testing system is provided, the system comprising:

[0006] The indicator determination module is used to determine the key indicators for the performance testing of the target battery, and the key indicators include at least electrical performance indicators, safety performance indicators and environmental adaptability indicators.

[0007] The testing module is used to test the performance of the target battery based on a pre-built scenario and the key indicators for testing the performance of the target battery, and to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing and environmental adaptability testing.

[0008] The state perception module is used to determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results.

[0009] The operation risk determination module is used to determine the operation risk of the target battery based on the output results, determine the prompt information based on the operation risk, and send the prompt information to the user terminal.

[0010] Optionally, key metrics for testing the target battery performance include:

[0011] Based on the application scenario, technology type, and industry standards of the target battery, key indicators for performance testing of the target battery are determined. These key indicators include at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0012] Optionally, based on the pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested to obtain multiple test results for the target battery, including:

[0013] Based on preset temperature conditions, a constant current charge-discharge test is performed on the target battery to obtain the initial capacity data of the target battery.

[0014] Repeat the constant current charge-discharge test on the target battery, and determine the capacity decay curve of the target battery based on multiple test results and the initial capacity data of the target battery;

[0015] Based on extreme conditions, the target battery is subjected to safety performance testing to determine the safety boundary value of the target battery. The extreme conditions include at least one of the following: overcharge, over-discharge, short circuit, needle penetration, and crush.

[0016] Based on different environmental conditions, the target battery is subjected to environmental adaptability tests to determine the environmental adaptability threshold of the target battery;

[0017] The capacity decay curve, the safety boundary value, and the environmental adaptability threshold are defined as multiple test results of the target battery.

[0018] Optionally, the key node data corresponding to multiple test results of the target battery includes:

[0019] Obtain the safety boundary value, environmental adaptability threshold, and capacity decay curve of the target battery;

[0020] Based on the capacity decay curve, multiple nodes corresponding to the target battery and the capacity decay rate of the target battery at the target node are determined.

[0021] In response to the fact that the safety value of the target battery at the target node is less than the safety boundary value and the environmental adaptability value is less than the environmental adaptability threshold, the state parameters of the target battery at the target node are obtained;

[0022] Based on the state parameters of the target battery at the target node and the capacity decay rate of the target battery at the target node, the capacity decay level is determined;

[0023] In response to the capacity degradation level meeting the preset standard, the data of the target node is determined as the key node data corresponding to multiple test results of the target battery.

[0024] Optionally, determining the capacity degradation level based on the state parameters of the target battery at the target node and the capacity degradation rate of the target battery at the target node includes:

[0025] The probability of the state parameter triggering a change in the capacity decay rate and the degree of the state parameter triggering a change in the capacity decay rate are obtained, and the degree and the capacity decay rate of the target battery at the target node are normalized.

[0026] Based on the probability of the state parameters triggering a change in the capacity decay rate, the degree of the change in the state parameters triggering a change in the capacity decay rate, and the capacity decay rate of the target battery at the target node, a dynamic risk score for the target battery at the target node is determined, including:

[0027]

[0028] Where S represents the dynamic risk score, K c The capacity decay rate of the target battery at target node c, A i X represents the degree of change in the excitation capacity decay rate of the i-th state parameter. i ω1 represents the probability of the change in the capacity decay rate of the i-th state parameter, n represents the number of state parameters, and ω1 and ω2 both represent weighting coefficients.

[0029] In response to the dynamic risk score being greater than a first preset threshold, the capacity attenuation level is determined to be high.

[0030] In response to the capacity degradation level being high, the data of the target node is determined as the key node data corresponding to multiple test results of the target battery.

[0031] Optionally, the key node data can be input into the battery performance state perception model to obtain the following output results:

[0032] In response to the capacity degradation level being high, the data of the target node is determined as the key node data corresponding to multiple test results of the target battery;

[0033] The key node data is input into the battery performance state perception model, which includes:

[0034]

[0035] Where G(t+1) represents the probability of a change in the battery performance state at time t+1, ε1 and ε2 are trainable parameters representing state coupling parameters, Y(G(t)) represents the correction function corresponding to the battery performance state quantity G(t) at time t, d represents the number of battery performance state parameters, and Y and U both represent probability parameters. The function representing the change of performance state parameter k with time t when the target battery is at target node c;

[0036] The probability of the battery performance state changing is defined as the output result.

[0037] Optionally, based on the output results, determining the operational risk of the target battery includes:

[0038] If the output result is greater than a second preset threshold, it is determined that the target battery has an operational risk.

[0039] Optionally, determining a prompt message based on the operational risk and sending the prompt message to the user terminal includes:

[0040] In response to the existence of operational risks in the target battery, the prompt information is generated based on the mapping relationship between the operational risks and the output results;

[0041] The prompt message is sent to the user's terminal.

[0042] Secondly, a battery performance testing method is provided, the method comprising:

[0043] Identify key performance indicators for testing the target battery, including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0044] Based on the pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing, and environmental adaptability testing.

[0045] Determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results;

[0046] Based on the output results, the operational risk of the target battery is determined, and based on the operational risk, a prompt message is determined and sent to the user terminal.

[0047] Optionally, key metrics for testing the target battery performance include:

[0048] Based on the application scenario, technology type, and industry standards of the target battery, key indicators for performance testing of the target battery are determined. These key indicators include at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0049] Thirdly, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0050] Identify key performance indicators for testing the target battery, including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0051] Based on the pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing, and environmental adaptability testing.

[0052] Determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results;

[0053] Based on the output results, the operational risk of the target battery is determined, and based on the operational risk, a prompt message is determined and sent to the user terminal.

[0054] Fourthly, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0055] Identify key performance indicators for testing the target battery, including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0056] Based on the pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing, and environmental adaptability testing.

[0057] Determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results;

[0058] Based on the output results, the operational risk of the target battery is determined, and based on the operational risk, a prompt message is determined and sent to the user terminal.

[0059] Fifthly, a computer program product is provided, the computer program product comprising a computer program, which, when executed by a processor, performs the following steps:

[0060] Identify key performance indicators for testing the target battery, including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0061] Based on the pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing, and environmental adaptability testing.

[0062] Determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results;

[0063] Based on the output results, the operational risk of the target battery is determined, and based on the operational risk, a prompt message is determined and sent to the user terminal.

[0064] The aforementioned battery performance testing system and method include: an index determination module for determining key indicators for target battery performance testing, the key indicators including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators; a testing module for testing the performance of the target battery based on a pre-built scenario and the key indicators for target battery performance testing, obtaining multiple test results for the target battery, the tests including at least electrical performance tests, safety performance tests, and environmental adaptability tests; a state perception module for determining key node data corresponding to the multiple test results of the target battery, inputting the key node data into a battery performance state perception model, and obtaining output results; and an operational risk determination module for determining the operational risk of the target battery based on the output results, determining prompt information based on the operational risk, and sending the prompt information to a user terminal. This application improves testing efficiency by simultaneously testing and analyzing multiple parameters, thereby capturing the battery's transient characteristics and improving dynamic response capabilities. By quantifying the battery degradation mechanism, it improves the accuracy of operational risk prediction and is applicable to different battery types, thus improving compatibility. Attached Figure Description

[0065] Figure 1 This is a structural block diagram of a battery performance testing system in one embodiment;

[0066] Figure 2 This is a flowchart illustrating a battery performance testing method in one embodiment;

[0067] Figure 3 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0068] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0069] It should be understood that, in the description of this application, unless the context explicitly requires it, words such as "including" or "comprising" throughout the specification should be interpreted as including rather than exclusive or exhaustive; that is, meaning "including but not limited to".

[0070] It should also be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0071] It should be noted that the terms "S1," "S2," etc., are used only for descriptive purposes and do not specifically refer to the order or sequence, nor are they intended to limit this application. They are merely for the convenience of describing the method of this application and should not be construed as indicating the sequential order of the steps. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0072] In one embodiment, such as Figure 1 As shown, a battery performance testing system is provided, including the following steps:

[0073] The indicator determination module is used to determine the key indicators for target battery performance testing, and the key indicators include at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0074] It should be noted that electrical performance indicators may include capacity, voltage, internal resistance, cycle life, etc., while safety performance indicators may include the safety factor under extreme conditions. Extreme conditions may include overcharging, over-discharging, short circuit, needle penetration, and crushing, etc. Environmental adaptability indicators refer to the environmental adaptability (such as mechanical reliability) under extreme temperature (e.g., -40℃ to 72℃) and collision conditions.

[0075] In some specific implementations, the key metrics used for testing the target battery performance include:

[0076] Based on the application scenario, technology type, and industry standards of the target battery, key indicators for performance testing of the target battery are determined. These key indicators include at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators. Application scenarios may include vehicle batteries, mobile phone batteries, etc. Industry standards may be international standards, such as IEC 62660 (power batteries), etc. Technology type refers to the category of battery chemical system, structural design, or working principle. Batteries of different technology types have certain differences in capacity decay, risk characteristics, and applicable scenarios.

[0077] The testing module is used to test the performance of the target battery based on a pre-built scenario and the key indicators for testing the performance of the target battery, and to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing and environmental adaptability testing.

[0078] It should be noted that electrical performance testing generally includes capacity testing and cycle life testing, safety performance testing generally includes simulation testing under extreme conditions, and environmental adaptability testing generally includes testing under extreme temperature conditions and collision conditions.

[0079] In some specific implementations, based on a pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested, and multiple test results of the target battery are obtained, including:

[0080] Based on preset temperature conditions, a constant current charge-discharge test is performed on the target battery to obtain the initial capacity data of the target battery. The preset temperature conditions generally include room temperature 25℃±1℃, low temperature 0℃, -20℃ and high temperature 45℃, 60℃, etc. The method for obtaining the initial capacity data is a common method, and the specific process will not be described in detail here.

[0081] The constant current charge-discharge test is repeated on the target battery. Based on multiple test results and the initial capacity data of the target battery, the capacity decay curve of the target battery is determined. That is, the initial capacity data is used as the initial value of the capacity decay curve, and the multiple test results are the corresponding values ​​of subsequent time nodes to generate the capacity decay curve of the target battery.

[0082] Based on extreme conditions, the target battery is subjected to safety performance tests to determine the safety boundary value of the target battery. The extreme conditions include at least one of the following: overcharge, over-discharge, short circuit, needle penetration, and crush. The safety boundary value refers to the critical value at which a safety risk occurs and does not occur during battery testing. For example, a needle penetration test is performed by penetrating the battery cell with a steel needle with a diameter of 3mm-8mm. When the steel needle is 7mm, no safety risk occurs; when it is 8mm, a safety risk occurs. The safety risk value is 7mm. Overcharge / over-discharge test: 1.5 times the rated voltage for 24 hours, discharge to 0V and reverse charge, monitor leakage and thermal runaway risks. If a risk occurs after 18 hours and no risk occurs after 17 hours, then 17 hours is the safety boundary value, and so on.

[0083] Based on different environmental conditions, environmental adaptability tests are conducted on the target battery to determine the environmental adaptability threshold of the target battery. The environmental adaptability threshold refers to the critical value at which a safety risk appears or does not appear in the battery test. For example, environmental adaptability tests are conducted at extreme temperatures of -40℃ to 72℃. If a risk appears after 50 minutes of testing at 71℃, and no risk appears after 49 minutes of testing at 71℃, then the environmental adaptability threshold is 49 minutes of testing at 71℃, and so on.

[0084] The capacity decay curve, the safety boundary value, and the environmental adaptability threshold are defined as multiple test results of the target battery.

[0085] The state perception module is used to determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results.

[0086] In some specific implementations, the key node data corresponding to multiple test results of the target battery includes:

[0087] Obtain the safety boundary value, environmental adaptability threshold, and capacity decay curve of the target battery;

[0088] Based on the capacity decay curve, multiple nodes corresponding to the target battery and the capacity decay rate of the target battery at the target node are determined. Here, multiple nodes can refer to time nodes. The capacity decay rate can be determined by calculating the decay curve. The calculation method is a common method, and the specific calculation process will not be described here.

[0089] In response to the target battery's safety value at the target node being less than the safety boundary value and the environmental adaptability value being less than the environmental adaptability threshold, the state parameters of the target battery at the target node are obtained. Here, the safety value and the environmental adaptability value both refer to values ​​used to describe whether the battery has a safety risk, such as continuous operation at 1.5 times the rated voltage for 10 hours or operation at a temperature of 21 degrees for 30 minutes, which are all less than the corresponding boundary value or threshold. The state parameters refer to relevant parameters that affect the battery capacity decay rate, such as temperature, humidity, capacity decay rate, internal resistance, etc.

[0090] Based on the state parameters of the target battery at the target node and the capacity decay rate of the target battery at the target node, the capacity decay level is determined;

[0091] In response to the capacity degradation level meeting a preset standard, the data of the target node is determined as the key node data corresponding to multiple test results of the target battery, wherein the preset standard refers to a high capacity degradation level.

[0092] In some specific implementations, determining the capacity degradation level based on the state parameters of the target battery at the target node and the capacity degradation rate of the target battery at the target node includes:

[0093] The probability and degree of the change in capacity decay rate triggered by the state parameter are obtained. The degree and the capacity decay rate of the target battery at the target node are normalized. The probability and degree of the change in capacity decay rate triggered by the state parameter are standard values ​​generated through multiple tests. The normalization method is a common method. The specific processing process will not be described in detail here.

[0094] Based on the probability of the state parameters triggering a change in the capacity decay rate, the degree of the change in the state parameters triggering a change in the capacity decay rate, and the capacity decay rate of the target battery at the target node, a dynamic risk score for the target battery at the target node is determined, including:

[0095]

[0096] Where S represents the dynamic risk score, K c The capacity decay rate of the target battery at target node c, A i X represents the degree of change in the excitation capacity decay rate of the i-th state parameter. i ω1 represents the probability of the change in the capacity decay rate of the i-th state parameter, m represents the number of state parameters, and ω1 and ω2 both represent weighting coefficients.

[0097] In response to the dynamic risk score being greater than a first preset threshold, the capacity decay level is determined to be high. The first preset threshold can be set according to actual needs. When the capacity decay level is low to medium, it can be determined whether state awareness is required according to actual needs.

[0098] In response to the capacity degradation level being high, the data of the target node is determined as the key node data corresponding to multiple test results of the target battery.

[0099] The key node data is input into the battery performance state perception model to obtain the output result. The key node data can refer to the state parameters of the target node, including:

[0100] In response to the capacity degradation level being high, the data of the target node is determined as the key node data corresponding to multiple test results of the target battery;

[0101] The key node data is input into the battery performance state perception model, which includes:

[0102]

[0103] Where G(t+1) represents the probability of a change in the battery performance state at time t+1, ε1 and ε2 are trainable parameters representing state coupling parameters, Y(G(t)) represents the correction function corresponding to the battery performance state quantity G(t) at time t, d represents the number of battery performance state parameters, and Y and U both represent probability parameters. The function representing the change of performance state parameter k with time t when the target battery is at target node c;

[0104] The probability of the battery performance state changing is defined as the output result.

[0105] The operation risk determination module is used to determine the operation risk of the target battery based on the output results, determine the prompt information based on the operation risk, and send the prompt information to the user terminal.

[0106] In some specific implementations, determining the operational risk of the target battery based on the output results includes:

[0107] If the output result is greater than a second preset threshold, it is determined that the target battery has an operational risk, wherein the second preset threshold can be set according to actual needs.

[0108] In some specific implementations, determining a prompt message based on the operational risk and sending the prompt message to the user terminal includes:

[0109] In response to the existence of operational risks in the target battery, the prompt information is generated based on the mapping relationship between the operational risks and the output results, that is, informing the user terminal of the corresponding operational risks and perception results;

[0110] The prompt message is sent to the user's terminal.

[0111] The aforementioned battery performance testing system includes: an index determination module for determining key indicators for target battery performance testing, wherein the key indicators include at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators; a testing module for testing the performance of the target battery based on a pre-built scenario and the key indicators for target battery performance testing, obtaining multiple test results for the target battery, wherein the tests include at least electrical performance testing, safety performance testing, and environmental adaptability testing; a state perception module for determining key node data corresponding to the multiple test results of the target battery, inputting the key node data into a battery performance state perception model, and obtaining output results; and an operational risk determination module for determining the operational risk of the target battery based on the output results, determining prompt information based on the operational risk, and sending the prompt information to a user terminal. This application improves testing efficiency by simultaneously testing and analyzing multiple parameters, thereby capturing the battery's transient characteristics and improving dynamic response capabilities. By quantifying the battery degradation mechanism, it improves the accuracy of operational risk prediction and is applicable to different battery types, thus improving compatibility.

[0112] Each module in the aforementioned battery performance testing system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0113] In one embodiment, such as Figure 2 As shown, a battery performance testing method is provided, including:

[0114] Identify key performance indicators for testing the target battery, including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0115] Based on the pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing, and environmental adaptability testing.

[0116] Determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results;

[0117] Based on the output results, the operational risk of the target battery is determined, and based on the operational risk, a prompt message is determined and sent to the user terminal.

[0118] In a preferred embodiment, determining the key metrics for testing the target battery performance includes:

[0119] Based on the application scenario, technology type, and industry standards of the target battery, key indicators for performance testing of the target battery are determined. These key indicators include at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0120] In a preferred embodiment, determining the key metrics for testing the target battery performance includes:

[0121] Based on the application scenario, technology type, and industry standards of the target battery, key indicators for performance testing of the target battery are determined. These key indicators include at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0122] In a preferred embodiment, based on a pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested, and multiple test results of the target battery are obtained, including:

[0123] Based on preset temperature conditions, a constant current charge-discharge test is performed on the target battery to obtain the initial capacity data of the target battery.

[0124] Repeat the constant current charge-discharge test on the target battery, and determine the capacity decay curve of the target battery based on multiple test results and the initial capacity data of the target battery;

[0125] Based on extreme conditions, the target battery is subjected to safety performance testing to determine the safety boundary value of the target battery. The extreme conditions include at least one of the following: overcharge, over-discharge, short circuit, needle penetration, and crush.

[0126] Based on different environmental conditions, the target battery is subjected to environmental adaptability tests to determine the environmental adaptability threshold of the target battery;

[0127] The capacity decay curve, the safety boundary value, and the environmental adaptability threshold are defined as multiple test results of the target battery.

[0128] In a preferred embodiment, determining the key node data corresponding to multiple test results of the target battery includes:

[0129] Obtain the safety boundary value, environmental adaptability threshold, and capacity decay curve of the target battery;

[0130] Based on the capacity decay curve, multiple nodes corresponding to the target battery and the capacity decay rate of the target battery at the target node are determined.

[0131] In response to the fact that the safety value of the target battery at the target node is less than the safety boundary value and the environmental adaptability value is less than the environmental adaptability threshold, the state parameters of the target battery at the target node are obtained;

[0132] Based on the state parameters of the target battery at the target node and the capacity decay rate of the target battery at the target node, the capacity decay level is determined;

[0133] In response to the capacity degradation level meeting the preset standard, the data of the target node is determined as the key node data corresponding to multiple test results of the target battery.

[0134] In a preferred embodiment, determining the capacity degradation level based on the state parameters of the target battery at the target node and the capacity degradation rate of the target battery at the target node includes:

[0135] The probability of the state parameter triggering a change in the capacity decay rate and the degree of the state parameter triggering a change in the capacity decay rate are obtained, and the degree and the capacity decay rate of the target battery at the target node are normalized.

[0136] Based on the probability of the state parameters triggering a change in the capacity decay rate, the degree of the change in the state parameters triggering a change in the capacity decay rate, and the capacity decay rate of the target battery at the target node, a dynamic risk score for the target battery at the target node is determined, including:

[0137]

[0138] Where S represents the dynamic risk score, K c The capacity decay rate of the target battery at target node c, A i X represents the degree of change in the excitation capacity decay rate of the i-th state parameter. i ω1 represents the probability of the change in the capacity decay rate of the i-th state parameter, m represents the number of state parameters, and ω1 and ω2 both represent weighting coefficients.

[0139] In response to the dynamic risk score being greater than a first preset threshold, the capacity attenuation level is determined to be high.

[0140] In response to the capacity degradation level being high, the data of the target node is determined as the key node data corresponding to multiple test results of the target battery.

[0141] In a preferred embodiment, the key node data is input into the battery performance state perception model, and the output results include:

[0142] In response to the capacity degradation level being high, the data of the target node is determined as the key node data corresponding to multiple test results of the target battery;

[0143] The key node data is input into the battery performance state perception model, which includes:

[0144]

[0145] Where G(t+1) represents the probability of a change in the battery performance state at time t+1, ε1 and ε2 are trainable parameters representing state coupling parameters, Y(G(t)) represents the correction function corresponding to the battery performance state quantity G(t) at time t, d represents the number of battery performance state parameters, and Y and U both represent probability parameters. The function representing the change of performance state parameter k with time t when the target battery is at target node c;

[0146] The probability of the battery performance state changing is defined as the output result.

[0147] In a preferred embodiment, determining the operational risk of the target battery based on the output results includes:

[0148] If the output result is greater than a second preset threshold, it is determined that the target battery has an operational risk.

[0149] In a preferred embodiment, determining a prompt message based on the operational risk and sending the prompt message to the user terminal includes:

[0150] In response to the existence of operational risks in the target battery, the prompt information is generated based on the mapping relationship between the operational risks and the output results;

[0151] The prompt message is sent to the user's terminal.

[0152] Specific limitations regarding battery performance testing methods can be found in the section on limitations for battery performance testing systems above, and will not be repeated here. It should be understood that, although... Figure 2The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 2 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0153] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown, the computer device includes a processor, memory, network interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a battery performance testing method. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device casing, or an external keyboard, touchpad, or mouse.

[0154] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0155] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0156] Identify key performance indicators for testing the target battery, including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0157] Based on the pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing, and environmental adaptability testing.

[0158] Determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results;

[0159] Based on the output results, the operational risk of the target battery is determined, and based on the operational risk, a prompt message is determined and sent to the user terminal.

[0160] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0161] Identify key performance indicators for testing the target battery, including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0162] Based on the pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing, and environmental adaptability testing.

[0163] Determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results;

[0164] Based on the output results, the operational risk of the target battery is determined, and based on the operational risk, a prompt message is determined and sent to the user terminal.

[0165] In one embodiment, a computer program product is provided, the computer program product comprising a computer program that, when executed by a processor, performs the following steps:

[0166] Identify key performance indicators for testing the target battery, including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

[0167] Based on the pre-built scenario and the key indicators used for target battery performance testing, the performance of the target battery is tested to obtain multiple test results of the target battery. The tests include at least electrical performance testing, safety performance testing, and environmental adaptability testing.

[0168] Determine the key node data corresponding to multiple test results of the target battery, input the key node data into the battery performance state perception model, and obtain the output results;

[0169] Based on the output results, the operational risk of the target battery is determined, and based on the operational risk, a prompt message is determined and sent to the user terminal.

[0170] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0171] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0172] The embodiments described above are merely examples of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application.

Claims

1. A battery performance test system, characterized by, The system comprises: an index determination module configured to determine key indexes for target battery performance testing, the key indexes comprising at least electrical performance indexes, safety performance indexes, and environmental adaptability indexes; a testing module configured to test the performance of a target battery based on pre-constructed scenarios and the key indexes for target battery performance testing, to obtain a plurality of test results of the target battery, the testing comprising at least electrical performance testing, safety performance testing, and environmental adaptability testing; a state perception module configured to determine key node data corresponding to the plurality of test results of the target battery, to input the key node data into a battery performance state perception model, and to obtain an output result; a running risk determination module configured to determine a running risk of the target battery according to the output result, to determine prompt information according to the running risk, and to send the prompt information to a user terminal; determining the key indexes for target battery performance testing comprises: determining the key indexes for target battery performance testing according to application scenarios, technical types, and industry standards of the target battery, the key indexes comprising at least electrical performance indexes, safety performance indexes, and environmental adaptability indexes; determining the key node data corresponding to the plurality of test results of the target battery comprises: obtaining safety boundary values, environmental adaptability threshold values, and capacity attenuation curves of the target battery; determining a plurality of nodes corresponding to the target battery and a capacity attenuation rate of the target battery at a target node based on the capacity attenuation curves; in response to a safety value of the target battery at the target node being less than the safety boundary values and an environmental adaptability value of the target battery at the target node being less than the environmental adaptability threshold values, obtaining state parameters of the target battery at the target node; determining a capacity attenuation level based on the state parameters of the target battery at the target node and the capacity attenuation rate of the target battery at the target node; in response to the capacity attenuation level meeting a preset standard, determining data of the target node as the key node data corresponding to the plurality of test results of the target battery; determining the capacity attenuation level based on the state parameters of the target battery at the target node and the capacity attenuation rate of the target battery at the target node comprises: obtaining a probability of the state parameters triggering a capacity attenuation rate change and a degree of the state parameters triggering the capacity attenuation rate change, and performing normalization processing on the degree and the capacity attenuation rate of the target battery at the target node; determining a dynamic risk score of the target battery at the target node based on the probability of the state parameters triggering the capacity attenuation rate change, the degree of the state parameters triggering the capacity attenuation rate change, and the capacity attenuation rate of the target battery at the target node comprises: wherein, denotes a dynamic risk score, denotes a capacity fade rate of a target battery at a target node c, denotes a degree of change in the capacity fade rate induced by the i-th state parameter, denotes a probability of change in the capacity fade rate induced by the i-th state parameter, denotes a number of state parameters, and denote a weight coefficient; in response to the dynamic risk score being greater than a first preset threshold value, determining that the capacity attenuation level is a high level; in response to the capacity attenuation level being the high level, determining data of the target node as the key node data corresponding to the plurality of test results of the target battery; inputting the key node data into the battery performance state perception model to obtain the output result comprises: in response to the capacity attenuation level being a high level, determining data of the target node as key node data corresponding to the multiple test results of the target battery; inputting the key node data into a battery performance state perception model, the battery performance state perception model comprising: wherein, represents the probability that the battery performance state at time t+1 changes, , are trainable parameters representing state coupling parameters, represents the battery performance state quantity at time t, the corresponding correction function, represents the number of battery performance state parameters, all represent probability parameters, represents a function of the performance state parameter k of the target battery over time t when the target battery is at the target node c; defining the probability that the battery performance state changes as the output result.

2. The battery performance test system of claim 1, wherein, testing the performance of the target battery based on a pre-constructed scenario and the key indicators for target battery performance testing, to obtain multiple test results of the target battery, comprising: performing constant current charge and discharge tests on the target battery based on a preset temperature condition, to obtain initial capacity data of the target battery; repeating the constant current charge and discharge tests on the target battery, and determining a capacity attenuation curve of the target battery according to the multiple test results and the initial capacity data of the target battery; performing safety performance tests on the target battery based on extreme conditions, to determine safety boundary values of the target battery, the extreme conditions including at least one of overcharging, over-discharging, short circuit, needle puncture, and extrusion; performing environmental adaptability tests on the target battery based on different environmental conditions, to determine environmental adaptability threshold values of the target battery; defining the capacity attenuation curve, the safety boundary values, and the environmental adaptability threshold values as the multiple test results of the target battery.

3. The battery performance test system of claim 2, wherein, determining the operation risk of the target battery according to the output result, comprising: in response to the output result being greater than a second preset threshold value, determining that the target battery has an operation risk.

4. The battery performance test system of claim 3, wherein, determining prompt information according to the operation risk, and sending the prompt information to a user terminal, comprising: in response to the target battery having an operation risk, generating the prompt information according to a mapping relationship between the operation risk and the output result; sending the prompt information to the user terminal.

5. A battery performance test method applied to the battery performance test system according to claim 1, characterized in that, The method comprises: determining key indicators for target battery performance testing, the key indicators including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators; testing the performance of the target battery based on a pre-constructed scenario and the key indicators for target battery performance testing, to obtain multiple test results of the target battery, the tests including at least electrical performance tests, safety performance tests, and environmental adaptability tests; determining key node data corresponding to the multiple test results of the target battery, and inputting the key node data into a battery performance state perception model to obtain an output result; determining the operation risk of the target battery according to the output result, determining prompt information according to the operation risk, and sending the prompt information to a user terminal.

6. The battery performance test method of claim 5, wherein, determining key indicators for target battery performance testing, comprising: determining key indicators for target battery performance testing according to the application scenario, technical type, and industry standard of the target battery, the key indicators including at least electrical performance indicators, safety performance indicators, and environmental adaptability indicators.

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