Battery performance test system and test method

Abstract

The invention relates to a battery performance testing system and method, and relates to the technical field of battery testing, and the system comprises an index determination module which is used for determining a key index for testing the performance of a target battery; the test module is used for testing the performance of the target battery based on a pre-constructed scene and the key index for testing the performance of the target battery to obtain a plurality of test results of the target battery; the state sensing module is used for determining key node data corresponding to a plurality of test results of the target battery and inputting the key node data into a battery performance state sensing model to obtain an output result; and the operation risk determination module is used for 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. According to the method, the test efficiency, the dynamic response capability, the operation risk prediction accuracy and the compatibility can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of battery testing, and in particular to a battery performance testing system and testing method. Background Art

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

[0003] At present, traditional battery performance testing methods mainly rely on basic testing methods such as constant current charge and discharge, cyclic voltammetry, etc., but these methods have problems such as long test cycle, insufficient data accuracy, and inability to fully reflect the dynamic characteristics of the battery. In addition, with the popularization of high-energy density batteries (such as lithium-ion batteries and solid-state batteries), traditional testing methods are difficult to accurately evaluate their performance under complex working conditions, especially the performance degradation mechanism under conditions such as high-rate charge and discharge, extreme temperature environments or long-term cycle aging. The existing improved battery performance testing methods have problems such as low test efficiency, poor dynamic response, inaccurate aging prediction and insufficient compatibility. Summary of the Invention

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

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

[0006] An indicator determination module, configured to determine key indicators for a target battery performance test, wherein the key indicators include at least an electrical performance indicator, a safety performance indicator, and an environmental adaptability indicator;

[0007] A testing module, configured to test the performance of a target battery based on a pre-built scenario and the key indicators for the target battery performance test, and obtain multiple test results of the target battery, wherein the tests include at least an electrical performance test, a safety performance test, and an environmental adaptability test;

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

[0009] An operation risk determination module is used to determine the operation risk of the target battery according to the output result, determine prompt information according to the operation risk, and send the prompt information to a user terminal.

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

[0011] According to the application scenario, technology type and industry standard of the target battery, key indicators for target battery performance testing are determined, and the 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 for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, including:

[0013] Based on a preset temperature condition, performing a constant current charge and discharge test on the target battery to obtain initial capacity data of the target battery;

[0014] Repeating the constant current charge and discharge test on the target battery, and determining a capacity decay curve of the target battery according to multiple test results and the initial capacity data of the target battery;

[0015] Performing a safety performance test on the target battery based on extreme conditions to determine a safety boundary value of the target battery, wherein the extreme conditions include at least one of the following: overcharge, overdischarge, short circuit, puncture, and extrusion;

[0016] Performing an environmental adaptability test on the target battery based on different environmental conditions to determine an 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, determining key node data corresponding to multiple test results of the target battery includes:

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

[0020] Determining, based on the capacity decay curve, a plurality of nodes corresponding to the target battery and a capacity decay rate of the target battery at the target node;

[0021] In response to the safety value of the target battery at the target node being less than the safety boundary value and the environmental adaptability value being less than the environmental adaptability threshold, acquiring a state parameter of the target battery at the target node;

[0022] Determining a capacity decay level based on a state parameter of the target battery at the target node and a capacity decay rate of the target battery at the target node;

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

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

[0025] Obtaining a probability that the state parameter triggers a change in the capacity decay rate and a degree to which the state parameter triggers a change in the capacity decay rate, and normalizing the degree and the capacity decay rate of the target battery at the target node;

[0026] Determining a dynamic risk score of the target battery at the target node based on a probability that the state parameter triggers a change in the capacity decay rate, a degree to which the state parameter triggers a change in the capacity decay rate, and the capacity decay rate of the target battery at the target node includes:

[0027]

[0028] Among them, S represents the dynamic risk score, K c The capacity decay rate of the target battery at the target node c, A i Indicates the degree to which the capacity decay rate is stimulated by the i-th state parameter, X i represents the probability that the i-th state parameter triggers a change in the capacity decay rate, n represents the number of state parameters, and ω1 and ω2 represent weight coefficients;

[0029] In response to the dynamic risk score being greater than a first preset threshold, determining that the capacity decay level is a high level;

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

[0031] Optionally, the key node data is input into a battery performance state perception model to obtain output results including:

[0032] In response to the capacity fade level being a high level, determining the data of the target node as key node data corresponding to a plurality of test results of the target battery;

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

[0034]

[0035] Among them, G(t+1) represents the probability of the battery performance state changing at time t+1, ε1 and ε2 are both 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 the performance state parameter k of the target battery at the target node c over time t;

[0036] The probability that the battery performance state changes is defined as the output result.

[0037] Optionally, determining the operating risk of the target battery according to the output result includes:

[0038] In response to the output result being greater than a second preset threshold, it is determined that the target battery has an operation risk.

[0039] Optionally, determining prompt information according to the operational risk and sending the prompt information to the user terminal includes:

[0040] 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;

[0041] The prompt information is sent to the user terminal.

[0042] In a second aspect, a battery performance testing method is provided, the method comprising:

[0043] 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;

[0044] Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, wherein the test includes at least an electrical performance test, a safety performance test, and an environmental adaptability test;

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

[0046] An operation risk of the target battery is determined according to the output result, prompt information is determined according to the operation risk, and the prompt information is sent to a user terminal.

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

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

[0049] In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are performed:

[0050] 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;

[0051] Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, wherein the test includes at least an electrical performance test, a safety performance test, and an environmental adaptability test;

[0052] Determining key node data corresponding to multiple test results of the target battery, inputting the key node data into a battery performance status perception model to obtain an output result;

[0053] An operation risk of the target battery is determined according to the output result, prompt information is determined according to the operation risk, and the prompt information is sent to a user terminal.

[0054] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0055] 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;

[0056] Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, wherein the test includes at least an electrical performance test, a safety performance test, and an environmental adaptability test;

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

[0058] An operation risk of the target battery is determined according to the output result, prompt information is determined according to the operation risk, and the prompt information is sent to a user terminal.

[0059] In a fifth aspect, a computer program product is provided, the computer program product comprising a computer program, wherein when the computer program is executed by a processor, the following steps are implemented:

[0060] 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;

[0061] Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, wherein the test includes at least an electrical performance test, a safety performance test, and an environmental adaptability test;

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

[0063] An operation risk of the target battery is determined according to the output result, prompt information is determined according to the operation risk, and the prompt information is sent to a user terminal.

[0064] The battery performance testing system and method include: an indicator 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 a target battery based on pre-built scenarios and the key indicators for target battery performance testing, and 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; an operation risk determination module for determining the operation risk of the target battery based on the output results, determining prompt information based on the operation risk, and sending the prompt information to a user terminal. The present application can improve test efficiency by synchronously testing and analyzing multiple parameters, thereby capturing the transient characteristics of the battery and improving dynamic response capabilities. By quantifying the battery degradation mechanism, the accuracy of operation risk prediction can be improved. The application can be applied to different battery types, thereby improving compatibility. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0066] Figure 2 1 is a flow chart of a battery performance testing method according to an embodiment;

[0067] Figure 3 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0068] To make the purpose, technical solutions, and advantages of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0069] It should be understood that in the description of this application, unless the context clearly requires otherwise, words such as "include", "comprises", and the like throughout the specification should be interpreted as inclusive rather than exclusive or exhaustive; that is, as "including but not limited to".

[0070] It should also be understood that the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of this application, unless otherwise specified, the meaning of "plurality" is two or more.

[0071] It should be noted that the terms "S1", "S2", etc. are used only for the purpose of describing the steps and do not specifically refer to the order or sequence, nor are they used to limit this application. They are merely for the convenience of describing the method of this application and should not be understood as indicating the order of the steps. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that ordinary technicians in this field can implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

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

[0073] The indicator determination module is used to determine key indicators for target battery performance testing, where 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., safety performance indicators may include safety factors under extreme conditions, extreme conditions may include overcharging, over-discharging, short circuit, puncture and extrusion, etc., and environmental adaptability indicators refer to the corresponding environmental adaptability (such as mechanical reliability, etc.) under extreme temperatures (such as -40℃~72℃) and collision conditions.

[0075] In some specific embodiments, determining key indicators for target battery performance testing includes:

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

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

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

[0079] In some specific embodiments, based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested, and the multiple test results of the target battery obtained include:

[0080] Based on preset temperature conditions, a constant current charge and 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°C ± 1°C, low temperature 0°C, -20°C, and high temperature 45°C, 60°C, etc. The method for obtaining the initial capacity data is a common method, and the specific process is not repeated here;

[0081] Repeating the constant current charge and discharge test on the target battery, and determining a capacity decay curve of the target battery based on multiple test results and the initial capacity data of the target battery, that is, using the initial capacity data as the initial value of the capacity decay curve and the multiple test results as the corresponding values ​​at subsequent time nodes to generate the capacity decay curve of the target battery;

[0082] Based on extreme conditions, a safety performance test is performed on the target battery 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, puncture and extrusion, wherein the safety boundary value refers to the critical value between the occurrence of safety risks and the occurrence of no safety risks in the battery test. For example, a steel needle with a diameter of 3mm-8mm is used to penetrate the battery cell to perform a puncture test. When the steel needle is 7mm, no safety risk occurs, and a safety risk occurs when the needle is 8mm, then 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, an environmental adaptability test is performed on the target battery to determine the environmental adaptability threshold of the target battery. The environmental adaptability threshold refers to the critical value between the occurrence of safety risks and the occurrence of no safety risks in the battery test. For example, the environmental adaptability test is performed at an extreme temperature of -40°C to 72°C. If a risk occurs after 50 minutes of testing at 71 degrees and no risk occurs after 49 minutes of testing at 71 degrees, then the environmental adaptability threshold is 49 minutes of testing at 71 degrees, 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 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 output results.

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

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

[0088] Based on the capacity decay curve, determine multiple nodes corresponding to the target battery and the capacity decay rate of the target battery at the target node, where the multiple nodes may refer to time nodes, and the capacity decay rate may be determined by calculating the decay curve. The calculation method is a common method, and the specific calculation process is not repeated here;

[0089] In response to the safety value of the target battery at the target node being less than the safety boundary value and the environmental adaptability value being less than the environmental adaptability threshold, obtaining a state parameter of the target battery at the target node, wherein both the safety value and the environmental adaptability value refer to values ​​used to describe whether a battery presents a safety risk, such as continuous operation at 1.5 times the rated voltage for 10 hours, operation at a temperature of 21 degrees for 30 minutes, etc., which are both less than the corresponding boundary value or threshold value, and the state parameter refers to a relevant parameter that affects the battery capacity decay rate, such as temperature, humidity, capacity decay rate, internal resistance, etc.;

[0090] Determining a capacity decay level based on a state parameter of the target battery at the target node and a capacity decay rate of the target battery at the target node;

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

[0092] In some specific embodiments, determining the capacity decay level based on the state parameter of the target battery at the target node and the capacity decay rate of the target battery at the target node includes:

[0093] Obtaining the probability of the state parameter stimulating a change in the capacity decay rate and the degree of the state parameter stimulating a change in the capacity decay rate, and normalizing the degree and the capacity decay rate of the target battery at the target node, wherein the probability and degree of the state parameter stimulating a change in the capacity decay rate are both standard values ​​generated through multiple tests. The normalization method is a commonly used method, and the specific processing process is not repeated here;

[0094] Determining a dynamic risk score of the target battery at the target node based on a probability that the state parameter triggers a change in the capacity decay rate, a degree to which the state parameter triggers a change in the capacity decay rate, and the capacity decay rate of the target battery at the target node includes:

[0095]

[0096] Among them, S represents the dynamic risk score, K c The capacity decay rate of the target battery at the target node c, A i Indicates the degree to which the capacity decay rate is stimulated by the i-th state parameter, X i represents the probability that the i-th state parameter triggers a change in the capacity decay rate, m represents the number of state parameters, and ω1 and ω2 represent weight coefficients;

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

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

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

[0100] In response to the capacity fade level being a high level, determining the data of the target node as key node data corresponding to a plurality of test results of the target battery;

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

[0102]

[0103] Among them, G(t+1) represents the probability of the battery performance state changing at time t+1, ε1 and ε2 are both 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 the performance state parameter k of the target battery at the target node c over time t;

[0104] The probability that the battery performance state changes is defined as the output result.

[0105] An operation risk determination module is used to determine the operation risk of the target battery according to the output result, determine prompt information according to the operation risk, and send the prompt information to a user terminal.

[0106] In some specific embodiments, determining the operating risk of the target battery according to the output result includes:

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

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

[0109] In response to the target battery having an operating risk, generating the prompt information according to a mapping relationship between the operating risk and the output result, that is, informing the user terminal of the corresponding operating risk and the perception result;

[0110] The prompt information is sent to the user terminal.

[0111] In the above-mentioned battery performance testing system, the system includes: an indicator 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 pre-built scenarios and the key indicators for target battery performance testing, and obtaining multiple test results of 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; an operation risk determination module for determining the operation risk of the target battery based on the output results, determining prompt information based on the operation risk, and sending the prompt information to a user terminal. The present application can improve test efficiency by synchronously testing and analyzing multiple parameters. Based on this, the battery transient characteristics can be captured, and the dynamic response capability can be improved. By quantifying the battery degradation mechanism, the accuracy of operation risk prediction can be improved. The application can be applied to different battery types, thereby improving compatibility.

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

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

[0114] 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;

[0115] Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, wherein the test includes at least an electrical performance test, a safety performance test, and an environmental adaptability test;

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

[0117] An operation risk of the target battery is determined according to the output result, prompt information is determined according to the operation risk, and the prompt information is sent to a user terminal.

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

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

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

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

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

[0123] Based on a preset temperature condition, performing a constant current charge and discharge test on the target battery to obtain initial capacity data of the target battery;

[0124] Repeating the constant current charge and discharge test on the target battery, and determining a capacity decay curve of the target battery according to multiple test results and the initial capacity data of the target battery;

[0125] Performing a safety performance test on the target battery based on extreme conditions to determine a safety boundary value of the target battery, wherein the extreme conditions include at least one of the following: overcharge, overdischarge, short circuit, puncture, and extrusion;

[0126] Performing an environmental adaptability test on the target battery based on different environmental conditions to determine an 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 the multiple test results of the target battery includes:

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

[0130] Determining, based on the capacity decay curve, a plurality of nodes corresponding to the target battery and a capacity decay rate of the target battery at the target node;

[0131] In response to the safety value of the target battery at the target node being less than the safety boundary value and the environmental adaptability value being less than the environmental adaptability threshold, acquiring a state parameter of the target battery at the target node;

[0132] Determining a capacity decay level based on a state parameter of the target battery at the target node and a capacity decay rate of the target battery at the target node;

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

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

[0135] Obtaining a probability that the state parameter triggers a change in the capacity decay rate and a degree to which the state parameter triggers a change in the capacity decay rate, and normalizing the degree and the capacity decay rate of the target battery at the target node;

[0136] Determining a dynamic risk score of the target battery at the target node based on a probability that the state parameter triggers a change in the capacity decay rate, a degree to which the state parameter triggers a change in the capacity decay rate, and the capacity decay rate of the target battery at the target node includes:

[0137]

[0138] Among them, S represents the dynamic risk score, K c The capacity decay rate of the target battery at the target node c, A i Indicates the degree to which the capacity decay rate is stimulated by the i-th state parameter, X i represents the probability that the i-th state parameter triggers a change in the capacity decay rate, m represents the number of state parameters, and ω1 and ω2 represent weight coefficients;

[0139] In response to the dynamic risk score being greater than a first preset threshold, determining that the capacity decay level is a high level;

[0140] In response to the capacity fade level being a high level, the data of the target node is determined as key node data corresponding to a plurality of 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 obtained include:

[0142] In response to the capacity fade level being a high level, determining the data of the target node as key node data corresponding to a plurality of test results of the target battery;

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

[0144]

[0145] Among them, G(t+1) represents the probability of the battery performance state changing at time t+1, ε1 and ε2 are both 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 the performance state parameter k of the target battery at the target node c over time t;

[0146] The probability that the battery performance state changes is defined as the output result.

[0147] In a preferred embodiment, determining the operating risk of the target battery according to the output result includes:

[0148] In response to the output result being greater than a second preset threshold, it is determined that the target battery has an operation risk.

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

[0150] 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;

[0151] The prompt information is sent to the user terminal.

[0152] The specific definition of the battery performance test method can be found in the above definition of the battery performance test system, which will not be repeated here. Figure 2The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figure 2 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed 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 part of the sub-steps or stages of other steps.

[0153] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a battery performance testing method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse, etc.

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

[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. When the processor executes the computer program, the following steps are performed:

[0156] 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;

[0157] Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, wherein the test includes at least an electrical performance test, a safety performance test, and an environmental adaptability test;

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

[0159] An operation risk of the target battery is determined according to the output result, prompt information is determined according to the operation risk, and the prompt information is sent to a user terminal.

[0160] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0161] 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;

[0162] Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, wherein the test includes at least an electrical performance test, a safety performance test, and an environmental adaptability test;

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

[0164] An operation risk of the target battery is determined according to the output result, prompt information is determined according to the operation risk, and the prompt information is sent to a user terminal.

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

[0166] 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;

[0167] Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, wherein the test includes at least an electrical performance test, a safety performance test, and an environmental adaptability test;

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

[0169] An operation risk of the target battery is determined according to the output result, prompt information is determined according to the operation risk, and the prompt information is sent to a user terminal.

[0170] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database 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), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0171] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, 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 above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the scope of the present application, and such modifications and improvements are all within the scope of protection of the present application.

Claims

1. A battery performance testing system, characterized in that: The system comprises: An indicator determination module, configured to determine key indicators for a target battery performance test, wherein the key indicators include at least an electrical performance indicator, a safety performance indicator, and an environmental adaptability indicator; A testing module, configured to test the performance of a target battery based on a pre-built scenario and the key indicators for the target battery performance test, and obtain multiple test results of the target battery, wherein the tests include at least an electrical performance test, a safety performance test, and an environmental adaptability test; A state perception module is used to determine key node data corresponding to multiple test results of the target battery, input the key node data into a battery performance state perception model, and obtain an output result; An operation risk determination module is used to determine the operation risk of the target battery according to the output result, determine prompt information according to the operation risk, and send the prompt information to a user terminal.

2. The battery performance testing system according to claim 1, characterized in that: Key metrics identified for target battery performance testing include: According to the application scenario, technology type and industry standard of the target battery, key indicators for target battery performance testing are determined, and the key indicators include at least electrical performance indicators, safety performance indicators and environmental adaptability indicators.

3. The battery performance testing system according to claim 2, characterized in that: Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested, and multiple test results of the target battery are obtained, including: Based on a preset temperature condition, performing a constant current charge and discharge test on the target battery to obtain initial capacity data of the target battery; Repeating the constant current charge and discharge test on the target battery, and determining a capacity decay curve of the target battery according to multiple test results and the initial capacity data of the target battery; Performing a safety performance test on the target battery based on extreme conditions to determine a safety boundary value of the target battery, wherein the extreme conditions include at least one of the following: overcharge, overdischarge, short circuit, puncture, and extrusion; Performing an environmental adaptability test on the target battery based on different environmental conditions to determine an environmental adaptability threshold of the target battery; The capacity decay curve, the safety boundary value, and the environmental adaptability threshold are defined as multiple test results of the target battery.

4. The battery performance testing system according to claim 3, characterized in that: Determining the key node data corresponding to the multiple test results of the target battery includes: Obtaining a safety boundary value, an environmental adaptability threshold, and a capacity decay curve of the target battery; Determining, based on the capacity decay curve, a plurality of nodes corresponding to the target battery and a capacity decay rate of the target battery at the target node; In response to the safety value of the target battery at the target node being less than the safety boundary value and the environmental adaptability value being less than the environmental adaptability threshold, acquiring a state parameter of the target battery at the target node; Determining a capacity decay level based on a state parameter of the target battery at the target node and a capacity decay rate of the target battery at the target node; In response to the capacity fade level meeting a preset standard, the data of the target node is determined as key node data corresponding to a plurality of test results of the target battery.

5. The battery performance testing system according to claim 4, characterized in that: Determining the capacity decay level based on the state parameter of the target battery at the target node and the capacity decay rate of the target battery at the target node includes: Obtaining a probability that the state parameter triggers a change in the capacity decay rate and a degree to which the state parameter triggers a change in the capacity decay rate, and normalizing the degree and the capacity decay rate of the target battery at the target node; Determining a dynamic risk score of the target battery at the target node based on a probability that the state parameter triggers a change in the capacity decay rate, a degree to which the state parameter triggers a change in the capacity decay rate, and the capacity decay rate of the target battery at the target node includes: Among them, S represents the dynamic risk score, K c The capacity decay rate of the target battery at the target node c, A i Indicates the degree to which the capacity decay rate is stimulated by the i-th state parameter, X i represents the probability that the i-th state parameter triggers a change in the capacity decay rate, m represents the number of state parameters, and ω1 and ω2 represent weight coefficients; In response to the dynamic risk score being greater than a first preset threshold, determining that the capacity decay level is a high level; In response to the capacity fade level being a high level, the data of the target node is determined as key node data corresponding to a plurality of test results of the target battery.

6. The battery performance testing system according to claim 5, characterized in that: The key node data is input into the battery performance state perception model, and the output results obtained include: In response to the capacity fade level being a high level, determining the data of the target node as key node data corresponding to a plurality of test results of the target battery; The key node data is input into a battery performance state perception model, wherein the battery performance state perception model includes: Among them, G(t+1) represents the probability of the battery performance state changing at time t+1, ε1 and ε2 are both 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 the performance state parameter k of the target battery at the target node c over time t; The probability that the battery performance state changes is defined as the output result.

7. The battery performance testing system according to claim 6, characterized in that: Determining the operating risk of the target battery according to the output result includes: In response to the output result being greater than a second preset threshold, it is determined that the target battery has an operation risk.

8. The battery performance testing system according to claim 7, characterized in that: Determining prompt information according to the operational risk and sending the prompt information to the user terminal includes: 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; The prompt information is sent to the user terminal.

9. A battery performance testing method, characterized in that: The method comprises: 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; Based on the pre-built scenario and the key indicators for the target battery performance test, the performance of the target battery is tested to obtain multiple test results of the target battery, wherein the test includes at least an electrical performance test, a safety performance test, and an environmental adaptability test; Determine key node data corresponding to multiple test results of the target battery, input the key node data into a battery performance status perception model, and obtain an output result; An operation risk of the target battery is determined according to the output result, prompt information is determined according to the operation risk, and the prompt information is sent to a user terminal.

10. The battery performance testing method according to claim 9, characterized in that: Key metrics identified for target battery performance testing include: According to the application scenario, technology type and industry standard of the target battery, key indicators for target battery performance testing are determined, and the key indicators include at least electrical performance indicators, safety performance indicators and environmental adaptability indicators.

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