Degenerate trajectory equation solution method, device, storage medium and product
By fitting the degradation trajectory equation and solving the pseudo-life in the multi-parameter degradation trajectory model of supercapacitors using accelerated degradation test data, the error increase problem of the multi-parameter degradation trajectory model is solved, accurate performance parameter prediction under normal stress groups is achieved, and the optimization and maintenance of the energy storage system are supported.
Patent Information
- Application Number
- CN202411307154.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-19
- Publication Date
- 2025-09-09
- Estimated Expiration
- 2044-09-19
AI Technical Summary
When dealing with the multi-parameter degradation trajectory model of supercapacitors, existing technologies have the problem of increased error or inability to solve. Especially when there are more than three parameters, it is difficult to accurately describe their changes under different stress levels, resulting in increased prediction errors.
By obtaining accelerated degradation test data of supercapacitors under different stress groups, fitting the degradation trajectory equation, solving the unknown coefficients of the pseudo-life and acceleration model, and fitting using the least squares method, the acceleration equation is updated to solve the problem of solving the multi-parameter degradation trajectory model.
The multi-parameter degradation trajectory equation of supercapacitors can be accurately solved under normal stress groups, which reduces the prediction error and provides reliable guidance for the design optimization and maintenance of supercapacitor energy storage systems.
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Figure CN119272614B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of energy storage power supply reliability research, and in particular relates to a method for solving a multi-parameter degradation trajectory equation under a normal stress group, a supercapacitor performance solution method, equipment, storage medium and product. Background Art
[0002] Supercapacitors, with their high power density, short charge / discharge times, and long cycle life, are widely used in rail transit energy storage power supplies. However, supercapacitors can experience performance degradation during use, such as capacity decay and increased internal resistance. To better utilize supercapacitor energy storage technology, optimize design, and conduct subsequent maintenance and prediction, it is necessary to study and summarize the degradation patterns of supercapacitors. Accelerated degradation tests can be used to determine the supercapacitor performance degradation trajectory, establish a degradation trajectory model, and predict the supercapacitor's lifespan.
[0003] When processing accelerated degradation test data, after determining the degradation trajectory under each stress group, the parameters in the degradation trajectory model are generally used as acceleration parameters to construct an acceleration model, resulting in acceleration equations for each parameter in the degradation trajectory model. When a product degradation trajectory model contains more than three parameters, using a standard acceleration model to solve the acceleration equations for each parameter and then solving the degradation trajectory under a specific stress group can result in increased errors or even inability to solve the degradation trajectory. This is because the degradation trajectory model becomes more complex with the addition of parameters, possessing more degrees of freedom, which can cause the degradation trajectory model to overfit the random fluctuations in the data rather than the true degradation trend. Correlations or interactions between different parameters can lead to multicollinearity problems during parameter estimation, making the estimation of some parameters unstable or inaccurate. Acceleration models typically assume that degradation behavior follows similar patterns at different stress levels. If there are too many parameters, it can be difficult to find a universal acceleration model that accurately describes the changes in all parameters at different stress levels. Accelerated degradation tests often involve extrapolation from high stress levels to normal operating conditions. This excessive number of parameters can lead to fewer data points and greater uncertainty, increasing prediction errors.
[0004] If the pseudo-life method is used, for degradation trajectory models with more than three parameters, only the life under normal use stress group can be calculated, and the degradation trajectory cannot be calculated.
[0005] Explanation of terms:
[0006] Degradation trajectory model: A mathematical model that describes the degradation of supercapacitor performance (e.g., capacitance) over time or usage cycles. The parameters in the mathematical model are yet to be determined.
[0007] Degradation trajectory equation: Degradation trajectory model with known parameters;
[0008] Acceleration model: used in accelerated degradation testing to describe the change in supercapacitor life (the number of charge and discharge cycles required to reach the failure threshold of a performance parameter) under different stress groups (such as temperature and voltage). The parameters in the acceleration model are to be determined.
[0009] Acceleration equation: An acceleration model with known parameters. Summary of the Invention
[0010] The purpose of the present invention is to provide a method, device, storage medium and product for solving the degradation trajectory equation to solve the problem that the solution error increases or the solution cannot be solved when the degradation trajectory model contains more than three parameters.
[0011] The present invention solves the above technical problems through the following technical solutions: a method for solving a degenerate trajectory equation, comprising:
[0012] Obtain accelerated degradation test data of supercapacitors under different stress groups;
[0013] According to the accelerated degradation test data under different stress groups, the degradation trajectory equation under the corresponding stress group is fitted;
[0014] Obtaining a first failure threshold; solving a first pseudo life under the corresponding stress group according to the degradation trajectory equation under different stress groups and the first failure threshold;
[0015] Obtaining an acceleration model, solving undetermined coefficients of the acceleration model according to the first pseudo-life under different stress groups, and then obtaining an acceleration equation;
[0016] Obtaining multiple second failure thresholds; solving the second pseudo life under the corresponding stress groups and the corresponding second failure thresholds according to the degradation trajectory equations under different stress groups and the different second failure thresholds;
[0017] Re-solve the stress-independent parameters in the acceleration equation according to the second pseudo-life of the i-th stress group and different second failure thresholds, and obtain the stress-independent parameters under different second failure thresholds;
[0018] The acceleration equation is updated according to the stress-independent parameters at different second failure thresholds to obtain the acceleration equations at different second failure thresholds;
[0019] Obtaining an actual stress group; substituting the actual stress group into the acceleration equation under different second failure thresholds to obtain a third pseudo life under different second failure thresholds;
[0020] The degradation trajectory equation of the normal stress group is solved according to the third pseudo-life under different failure thresholds.
[0021] Furthermore, the least squares method was used to fit the accelerated degradation test data under different stress groups to obtain the degradation trajectory equations under the corresponding stress groups.
[0022] Furthermore, the degradation trajectory equations under different stress groups are:
[0023] P i (N i )=a i exp(-N i / b i )+c i N i +d i ;
[0024] Among them, P i represents the performance parameters of the supercapacitor under the i-th stress group, N i represents the number of charge and discharge cycles or degradation tests under the i-th stress group, a i 、b i 、c i and d i They all represent the coefficients under the i-th stress group, i = 1, 2, …, M, and M represents the number of stress groups.
[0025] Furthermore, the acceleration model is:
[0026]
[0027] Where V represents the life of the supercapacitor, A represents the parameter related to the failure threshold L, B represents the parameter related to temperature, T represents the test temperature, and E represents the d Indicates the discharge termination voltage, E c Indicates the charge termination voltage, n d 、n c Indicates parameters related to voltage.
[0028] Further, the plurality of second failure thresholds are obtained according to the first failure threshold.
[0029] Based on the same concept, the present invention provides a method for solving supercapacitor performance, comprising:
[0030] Get the number of charge and discharge cycles of the supercapacitor;
[0031] The degradation trajectory equation of the normal stress group solved by the degradation trajectory equation solving method described above is called, and the supercapacitor performance parameters are solved according to the degradation trajectory equation of the normal stress group and the number of charge and discharge cycles.
[0032] Based on the same concept, the present invention provides an electronic device, including a memory, a processor, and a computer program / instruction stored in the memory, wherein the processor executes the computer program / instruction to implement the above-mentioned method for solving the degradation trajectory equation or the method for solving the supercapacitor performance.
[0033] Based on the same concept, the present invention provides a computer-readable storage medium having a computer program / instruction stored thereon. When the computer program / instruction is executed by a processor, the method for solving the degradation trajectory equation or the method for solving the supercapacitor performance as described above is implemented.
[0034] Based on the same concept, the present invention provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the above-mentioned method for solving the degradation trajectory equation or the method for solving the supercapacitor performance.
[0035] Beneficial effects
[0036] Compared with the prior art, the advantages of the present invention are:
[0037] The present invention can solve the multi-parameter (including more than three parameters) degradation trajectory equation of the supercapacitor under normal stress conditions. The solved degradation trajectory equation is used to solve the performance parameters of the supercapacitor during normal use, solving the problem of large error or inability to solve the degradation trajectory equation containing more than three parameters. It provides guidance for the design optimization, use maintenance and life prediction of the supercapacitor energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only one embodiment of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0039] Figure 1 is a flow chart of a method for solving a degenerate trajectory equation in an embodiment of the present invention;
[0040] Figure 2 3 is a comparison diagram of the fitted degradation trajectory curve and the solved degradation trajectory curve in an embodiment of the present invention. DETAILED DESCRIPTION
[0041] The following is a clear and complete description of the technical solutions of the present invention in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts are within the scope of protection of the present invention.
[0042] The following specific embodiments are used to describe the technical solution of the present application in detail. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.
[0043] Example 1
[0044] like Figure 1 As shown, a method for solving a degenerate trajectory equation provided by an embodiment of the present invention includes the following steps:
[0045] Step 1: Obtain accelerated degradation test data of supercapacitors under different stress groups.
[0046] Accelerated degradation test is performed on supercapacitors to obtain accelerated degradation test data. Accelerated degradation test data is the value of supercapacitor performance parameters (such as capacitance and internal resistance) under specific test conditions (i.e. stress group) and different charge and discharge cycle numbers (or test numbers). Each stress group includes at least one stress, such as temperature stress, electrical stress (such as charge and discharge voltage, charge and discharge current), etc.
[0047] Step 2: Based on the accelerated degradation test data under different stress groups, the degradation trajectory equation under the corresponding stress group is fitted.
[0048] The degradation trajectory is the relationship curve between the performance parameters of the supercapacitor and the number of charge and discharge cycles. There are many forms of degradation trajectory models, such as second-order models, third-order models, exponential linear models, etc. By fitting the accelerated degradation test data under different stress groups using the least squares method or other parameter fitting algorithms, the degradation trajectory equation under the corresponding stress group can be obtained. In this embodiment, the degradation trajectory model is an exponential linear model as an example, and the degradation trajectory model is assumed to be:
[0049] P(N)=aexp(-N / b)+cN+d (1)
[0050] Where P represents the performance parameter of the supercapacitor, N represents the number of charge and discharge cycles or degradation tests, and a, b, c, and d represent unknown coefficients. For the i-th stress group, the degradation trajectory equation under the i-th stress group can be expressed as:
[0051] P i (N i )=a i exp(-N i / b i )+c i N i +d i (2)
[0052] Among them, P irepresents the performance parameters of the supercapacitor under the i-th stress group, N i represents the number of charge and discharge cycles or degradation tests under the i-th stress group, a i 、b i 、c i and d i are coefficients under the i-th stress group, i=1,2,…,M, M represents the number of stress groups. Based on the accelerated degradation test data under the i-th stress group, a i 、b i 、c i and d i , so a i 、b i 、c i and d i All are known parameters.
[0053] Step 3: Obtain the first failure threshold; according to the degradation trajectory equation under different stress groups and the first failure threshold, solve the first pseudo life under the corresponding stress group.
[0054] Pseudo-lifetime refers to the number of accelerated degradation tests that occur when a supercapacitor's performance parameters (such as capacitance and internal resistance) degrade to the failure threshold under specific test conditions (i.e., stress group). The first failure threshold can be determined based on relevant supercapacitor standards or industry regulations. For example, the first failure threshold for a supercapacitor's capacitance is 80% of its initial capacitance (i.e., rated capacitance), and the first failure threshold for a supercapacitor's internal resistance is 200% of its initial internal resistance.
[0055] Determining the first failure threshold is to determine the performance parameters of the supercapacitor. Substituting the first failure threshold into formula (2), the corresponding N i , we can get M groups of data: L f 、i、N if , where L f represents the first failure threshold (which is the same as P in formula (2) i corresponding), N if represents the number of charge-discharge cycles or degradation tests under the i-th stress group (i.e., the first pseudo-lifetime under the i-th stress group), i = 1, 2, …, M.
[0056] Step 4: Select the acceleration model, solve the unknown coefficients of the acceleration model according to the first pseudo-life under different stress groups, and then obtain the acceleration equation.
[0057] The acceleration model is used to represent the change in supercapacitor life under different stress groups; there are many acceleration models, and different acceleration models have different parameters to be determined. The acceleration model selected in this embodiment is:
[0058]
[0059] Where V represents the life of the supercapacitor, A represents the parameter related to the failure threshold L, B represents the parameter related to temperature, T represents the test temperature, and E represents the d Indicates the discharge termination voltage, E c Indicates the charge termination voltage, n d 、n c Indicates parameters related to voltage. A, B, n d and n c All are undetermined coefficients.
[0060] The first pseudo life N under the i-th stress group if Corresponding to V in the acceleration model, the i-th stress group corresponds to T and E in the acceleration model d 、E c , that is, the stress group of this embodiment includes temperature stress and electrical stress. The first pseudo life N under different stress groups obtained in step 3 is if Substituting into formula (3), we can solve the unknown coefficients A, B, and n d and n c , we get the acceleration equation. The acceleration equation can be expressed as:
[0061]
[0062] Among them, A f 、B f 、n df and n cf All represent the first pseudo lifespan N if The parameter to be solved, A f 、B f 、n df and n cf All parameters are known. When the two acceleration equations are divided, only parameter A f will be eliminated, so A f is a parameter that has nothing to do with stress, B f 、n df and n cf are all parameters related to stress.
[0063] Step 5: Obtain multiple second failure thresholds; solve the second pseudo life under the corresponding stress group and the corresponding second failure threshold according to the degradation trajectory equation under different stress groups and different second failure thresholds.
[0064] The number of the second failure thresholds is not less than 5. The more the number of the second failure thresholds is, the more accurate the performance prediction is. In this embodiment, the number of the second failure thresholds is 5. In a specific embodiment of the present invention, 5 second failure thresholds are determined based on the first failure threshold. Taking the capacitance of a supercapacitor as an example, the 5 second failure thresholds Lsj The first failure threshold is 80%, the first failure threshold is 60%, the first failure threshold is 40%, the first failure threshold is 20%, and the first failure threshold is 10%. In another embodiment of the present invention, multiple second failure thresholds can be set, and the numerical intervals between the multiple second failure thresholds are the same to facilitate better interpolation calculation.
[0065] Determining the second failure threshold value is to determine the performance parameter of the supercapacitor. sj Substituting into formula (2), we can get the corresponding N i , thus we can get M×n groups of data, where n represents the number of second failure thresholds, n≥5. Table 1 shows the second pseudo lifespan under different corresponding groups and different second failure thresholds, where N ij represents the second pseudo life under the i-th stress group and the j-th second failure threshold, i=1,2,…,M,j=1,2,…,n. Each second pseudo life N ij Corresponding to V in formula (4).
[0066] Table 1 Second pseudo lifespan under different corresponding groups and different second failure thresholds
[0067]
[0068] Step 6: Resolve the stress-independent parameters in the acceleration equation according to the second pseudo-life of the i-th stress group and different second failure thresholds to obtain the stress-independent parameters under different second failure thresholds.
[0069] For the i-th stress group, T,E in the acceleration equation d ,E c The value of remains unchanged, only the performance parameters and life of the supercapacitor are different, so the stress-related parameters in the acceleration equation are fixed, that is, parameter B f 、n df and n cf Remain unchanged. Set the second failure threshold L sj Substituting into the degradation trajectory equation under the i-th stress group (i.e., formula (2)), we can obtain the i-th stress group and different second failure thresholds L sj The second pseudo life of the i-th stress group and different second failure thresholds L sj The second pseudo-lifetime is substituted into the acceleration equation (parameter B f 、n df and n cf corresponding to the i-th stress group), and obtain different second failure thresholds L sj stress-independent parameters, namely, different second failure thresholds L sj Parameter A jTable 2 shows the different second failure thresholds L sj Parameter A j .
[0070] Table 2 Parameter A under different second failure thresholds
[0071]
[0072] Step 7: Update the acceleration equation according to the stress-independent parameters at different second failure thresholds to obtain the acceleration equations at different second failure thresholds.
[0073] The acceleration equation under different second failure thresholds can be expressed as:
[0074]
[0075] Among them, V j represents the life under the jth second failure threshold, A j Represents the parameters A and B under the jth second failure threshold f 、n df and n cf All remain unchanged.
[0076] Step 8: Obtain the actual stress group; substitute the actual stress group into the acceleration equation under different second failure thresholds to obtain the third pseudo life under different second failure thresholds.
[0077] The third pseudo lifespan at different second failure thresholds is the value of the supercapacitor performance parameter at different charge and discharge cycle numbers.
[0078] Step 9: Solve the degradation trajectory equation of the normal stress group based on the third pseudo-life under different failure thresholds.
[0079] Substituting the third pseudo-life under different failure thresholds into the degradation trajectory model (i.e., formula (1)), the coefficients a, b, c, and d can be re-solved. Substituting the re-solved coefficients a, b, c, and d into formula (1), the degradation trajectory equation of the normal stress group can be obtained.
[0080] In order to verify the effectiveness of the method of the present invention, the degradation trajectory equation solved by the method of the present invention (i.e., the degradation trajectory equation of the normal stress group) is compared with the degradation trajectory equation obtained by fitting the test data. Specifically: the accelerated degradation test data under the first stress group is obtained, and the accelerated degradation test data under the first stress group is fitted to obtain the degradation trajectory equation under the first stress group (i.e., the fitted degradation trajectory curve); the accelerated degradation test data under other stress groups is obtained, and the accelerated degradation test data under other stress groups are processed using the method of the present invention to obtain the degradation trajectory equation solved by the method of the present invention (i.e., the solved degradation trajectory curve). Figure 2As shown in FIG, the fitting degradation trajectory curve and the solution degradation trajectory curve are almost coincident, which proves the effectiveness of the method of the present invention.
[0081] Example 2
[0082] The present invention provides a method for solving supercapacitor performance, comprising:
[0083] Step 1: Obtain the number of charge and discharge cycles of the supercapacitor;
[0084] Step 2: calling the degradation trajectory equation of the normal stress group solved according to the degradation trajectory equation solving method described in Example 1;
[0085] Step 3: Solve the supercapacitor performance parameters based on the degradation trajectory equation of the normal stress group and the number of charge and discharge cycles.
[0086] Substituting the number of charge and discharge cycles into the degradation trajectory equation of the normal stress group, the supercapacitor performance parameters are obtained.
[0087] Example 3
[0088] An embodiment of the present invention also provides an electronic device, which includes: a memory, a processor, and a computer program / instruction stored on the memory, and the processor executes the computer program / instruction to implement the degradation trajectory equation solving method or supercapacitor performance solving method in the embodiment of the present application.
[0089] Although not shown, the electronic device includes a processor that can perform various appropriate operations and processes based on programs and / or data stored in a read-only memory (ROM) or programs and / or data loaded from a storage portion into a random access memory (RAM). The processor can be a multi-core processor or can include multiple processors. In some embodiments, the processor can include a general-purpose main processor and one or more special coprocessors, such as a central processing unit, a graphics processing unit (GPU), a neural network processor (NPU), a digital signal processor (DSP), etc. Various programs and data required for device operation are also stored in RAM. The processor, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.
[0090] The processor and memory are used together to execute the program / instructions stored in the memory. When the program / instructions are executed by the computer, the methods, steps or functions described in the above embodiments can be implemented.
[0091] Although not shown, an embodiment of the present invention further provides a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the method for solving the degradation trajectory equation or the method for solving the supercapacitor performance in the embodiment of the present application.
[0092] Storage media in embodiments of the present invention include permanent and non-permanent, removable and non-removable items that can be used to store information using any method or technology. Examples of storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
[0093] Computer-readable storage media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.
[0094] Although not shown, an embodiment of the present invention further provides a computer program product, including: a computer program / instruction, which, when executed by a processor, implements the method for solving the degradation trajectory equation or the method for solving the supercapacitor performance in the embodiment of the present application.
[0095] The above disclosure is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with this technical field can easily think of changes or modifications within the technical scope disclosed in the present invention, and they should all be covered by the scope of protection of the present invention.
Claims
1. A method for solving a degenerate trajectory equation, characterized in that: The solution method includes: Obtain accelerated degradation test data of supercapacitors under different stress groups; According to the accelerated degradation test data under different stress groups, the degradation trajectory equation under the corresponding stress group is fitted; Obtaining a first failure threshold; solving a first pseudo life under the corresponding stress group according to the degradation trajectory equation under different stress groups and the first failure threshold; Obtaining an acceleration model, solving undetermined coefficients of the acceleration model according to the first pseudo-life under different stress groups, and then obtaining an acceleration equation; Obtaining multiple second failure thresholds; solving the second pseudo life under the corresponding stress groups and the corresponding second failure thresholds according to the degradation trajectory equations under different stress groups and the different second failure thresholds; Re-solve the stress-independent parameters in the acceleration equation according to the second pseudo-life of the i-th stress group and different second failure thresholds, and obtain the stress-independent parameters under different second failure thresholds; The acceleration equation is updated according to the stress-independent parameters at different second failure thresholds to obtain the acceleration equations at different second failure thresholds; Obtaining an actual stress group; substituting the actual stress group into the acceleration equation under different second failure thresholds to obtain a third pseudo life under different second failure thresholds; The degradation trajectory equation of the normal stress group is solved according to the third pseudo-life under different failure thresholds.
2. The method for solving the degenerate trajectory equation according to claim 1, characterized in that: The least square method was used to fit the accelerated degradation test data under different stress groups, and the degradation trajectory equations under the corresponding stress groups were obtained.
3. The method for solving the degenerate trajectory equation according to claim 1, wherein: The degradation trajectory equations under the different stress groups are: P i (N i )=a i exp(-N i / b i )+c i N i +d i ; Among them, P i represents the performance parameters of the supercapacitor under the i-th stress group, N i represents the number of charge and discharge cycles or degradation tests under the i-th stress group, a i 、b i 、c i and d i They all represent the coefficients under the i-th stress group, i = 1, 2, …, M, and M represents the number of stress groups.
4. The method for solving the degenerate trajectory equation according to claim 1, wherein: The acceleration model is: Where V represents the life of the supercapacitor, A represents the parameter related to the failure threshold L, B represents the parameter related to temperature, T represents the test temperature, and E represents the d Indicates the discharge termination voltage, E c Indicates the charge termination voltage, n d 、n c Indicates parameters related to voltage.
5. The method for solving the degenerate trajectory equation according to claim 1, wherein: The plurality of second failure thresholds are obtained according to the first failure threshold.
6. A method for solving supercapacitor performance, characterized in that: The solution method includes: Get the number of charge and discharge cycles of the supercapacitor; The degradation trajectory equation of the normal stress group solved by the degradation trajectory equation solving method according to any one of claims 1 to 5 is called, and the supercapacitor performance parameters are solved according to the degradation trajectory equation of the normal stress group and the number of charge and discharge cycles.
7. An electronic device comprising a memory, a processor, and a computer program / instruction stored in the memory, wherein the processor executes the computer program / instruction to implement the method for solving the degradation trajectory equation according to any one of claims 1 to 5 or the method for solving supercapacitor performance according to claim 6.
8. A computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the method for solving the degenerate trajectory equation according to any one of claims 1 to 5 or the method for solving supercapacitor performance according to claim 6.
9. A computer program product, comprising a computer program / instruction, which, when executed by a processor, implements the method for solving the degenerate trajectory equation according to any one of claims 1 to 5 or the method for solving supercapacitor performance according to claim 6.
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