Method and device for analyzing electrical experiment data

Abstract

The invention is suitable for the technical field of function testing, and provides an electrical experiment data analysis method and device, and the method comprises the steps: collecting a plurality of battery cycle test data of a to-be-tested battery at a preset temperature; according to a first cycle index of the conventional battery cycle test when the battery capacity reaches a preset lower limit value, calculating an estimated battery cycle index at a preset temperature; according to the battery cycle times and the battery capacities corresponding to the multiple cyclic charging tests, mapping functions corresponding to the multiple cyclic charging tests are constructed; and calculating the battery cycle life of the to-be-tested battery according to the estimated battery cycle index, the estimated depth charge and discharge cycle index, the estimated high charge rate cycle index, the first mapping function, the second mapping function and the third mapping function. According to the technical scheme, accurate prediction of the service life of the battery is realized, and the technical bottleneck of lack of accurate prediction of the service life of the battery under different working conditions in the prior art is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of functional testing, and in particular relates to an analysis method and device for electrical experimental data. Background Art

[0002] With the continuous development of battery technology, especially in the field of rechargeable batteries, the cycle life of batteries has become a key indicator affecting battery performance and application areas. The cycle life of a battery usually refers to the number of charge and discharge cycles that a battery can experience during the charge and discharge process. During this process, the capacity decay of the battery is usually manifested as a gradual decrease in the battery charging capacity. In order to ensure the stability and availability of batteries in practical applications, accurate prediction of the cycle life of batteries is of great significance for battery design, optimization and quality control.

[0003] At present, the evaluation method of battery life mainly relies on experimental data, simulating the battery usage process through long-term charge and discharge tests. However, since the battery may be affected by many factors during actual use, the traditional evaluation method can only give a rough estimate and lacks accurate prediction of battery life under different working conditions. Therefore, how to accurately evaluate the cycle life of the battery under various charge and discharge conditions has become an important issue in the field of battery technology. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a method and device for analyzing electrical experimental data to solve the technical problem of lack of accurate prediction of battery life under different working conditions.

[0005] A first aspect of an embodiment of the present invention provides a method for analyzing electrical experiment data, the method comprising:

[0006] Collect multiple battery cycle test data of the battery to be tested at a preset temperature; multiple battery cycle test data refer to the battery capacity corresponding to each of the multiple cycle charging tests when multiple battery cycles are performed; the multiple cycle charging tests include conventional battery cycle test, deep charge and discharge cycle test and high charge rate cycle test; the conventional battery cycle test refers to the charge and discharge cycle performed under standard conditions; the deep charge and discharge cycle test refers to the operation of fully charging the battery and completely consuming the battery power in the charge and discharge cycle; the high charge rate cycle test refers to the charge and discharge cycle performed at a higher charge rate than the standard charge rate; the preset temperature is higher than the conventional temperature in the actual environment;

[0007] Calculating an estimated battery cycle number at the conventional temperature according to the first cycle number of the conventional battery cycle test when the battery capacity reaches a preset lower limit value;

[0008] Construct mapping functions corresponding to the respective multiple cycle charging tests according to the number of battery cycles and battery capacity corresponding to each of the multiple cycle charging tests; the mapping functions include a first mapping function corresponding to a conventional battery cycle test, a second mapping function corresponding to a deep charge and discharge cycle test, and a third mapping function corresponding to a high charging rate cycle test;

[0009] Calculate the estimated number of deep charge and discharge cycles and the estimated number of high charging rate cycles corresponding to the estimated number of battery cycles;

[0010] Calculate the battery cycle life of the battery under test according to the estimated number of battery cycles, the estimated number of deep charge and discharge cycles, the estimated number of high charging rate cycles, the first mapping function, the second mapping function, and the third mapping function.

[0011] Further, the step of calculating the estimated number of battery cycles at the conventional temperature according to the first number of cycles when the battery capacity reaches the preset lower limit value in the conventional battery cycle test includes:

[0012] Calculate the first chemical reaction rate corresponding to the conventional temperature and calculate the second chemical reaction rate corresponding to the preset temperature; the conventional temperature refers to the average temperature of the battery in the actual use environment;

[0013] Calculate the estimated number of battery cycles at the conventional temperature according to the first chemical reaction rate, the second chemical reaction rate, and the first number of cycles when the battery capacity reaches the preset lower limit value in the conventional battery cycle test; the estimated number of battery cycles refers to the estimated value of the number of battery cycles when the battery capacity reaches the preset lower limit value under the condition of the preset temperature.

[0014] Further, the step of calculating the first chemical reaction rate corresponding to the conventional temperature and calculating the second chemical reaction rate corresponding to the preset temperature includes:

[0015] Substitute the conventional temperature into the following preset function to obtain the first chemical reaction rate;

[0016] Substitute the preset temperature into the following preset function to obtain the second chemical reaction rate;

[0017] The preset function is:

[0018]

[0019] where k represents the first chemical reaction rate or the second chemical reaction rate, A represents the frequency factor, E a represents the activation energy of the reaction, R represents the gas constant, and T represents the conventional temperature or the preset temperature.

[0020] Further, the step of calculating the estimated number of battery cycles at the conventional temperature according to the first chemical reaction rate, the second chemical reaction rate, and the first number of cycles when the battery capacity reaches the preset lower limit value in the conventional battery cycle test includes:

[0021] Dividing the second chemical reaction rate by the first chemical reaction rate to obtain a chemical reaction rate multiple;

[0022] Multiplying the first number of cycles by the chemical reaction rate multiple to obtain the estimated number of battery cycles.

[0023] Further, the step of constructing a mapping function corresponding to each of the multiple cycle charge tests according to the number of battery cycles and the battery capacity corresponding to each of the multiple cycle charge tests includes:

[0024] Inputting the number of battery cycles and the battery capacity corresponding to the conventional battery cycle test into a fitting function to obtain a first fitting function;

[0025] Inputting the number of battery cycles and the battery capacity corresponding to the deep charge and discharge cycle test into a fitting function to obtain a second fitting function;

[0026] Inputting the number of battery cycles and the battery capacity corresponding to the high charge rate cycle test into a fitting function to obtain a third fitting function;

[0027] The fitting function is:

[0028]

[0029] where C(N) represents the battery capacity, C0 represents the initial capacity, N represents the number of battery cycles, α represents the proportion of the initial rapid decay part, b represents the rate of the initial rapid decay, c represents the rate of the later stable decay, and d represents the exponent for adjusting the shape of the later decay.

[0030] Further, the step of calculating the battery cycle life of the battery under test according to the estimated number of battery cycles, the estimated number of deep charge and discharge cycles, the estimated number of high charge rate cycles, the first mapping function, the second mapping function, and the third mapping function includes:

[0031] Substituting the estimated number of deep charge and discharge cycles into the second mapping function to obtain a first battery capacity;

[0032] Substituting the estimated number of high charge rate cycles into the third mapping function to obtain a second battery capacity;

[0033] Subtracting the first battery capacity from the initial capacity to obtain a first lost capacity;

[0034] Subtract the initial capacity from the second battery capacity to obtain the second loss capacity;

[0035] Add the first loss capacity and the second loss capacity to obtain the total loss capacity;

[0036] Substitute the total loss capacity into the first mapping function to obtain the loss battery cycle count;

[0037] Subtract the loss battery cycle count from the estimated battery cycle count to obtain the battery cycle life of the battery under test.

[0038] A second aspect of the embodiments of the present invention provides an analysis device for electrical experiment data, including:

[0039] An acquisition unit, configured to acquire a plurality of battery cycle test data of a battery under test at a preset temperature; the plurality of battery cycle test data refers to the battery capacities respectively corresponding to multiple cycle charging tests when performing multiple battery cycles; the multiple cycle charging tests include a conventional battery cycle test, a deep charge and discharge cycle test, and a high charging rate cycle test; the conventional battery cycle test refers to a charge and discharge cycle performed under standard conditions; the deep charge and discharge cycle test refers to operations of fully charging the battery and completely consuming the battery power during the charge and discharge cycle; the high charging rate cycle test refers to a charge and discharge cycle at a charging rate higher than the standard charging rate; the preset temperature is higher than the conventional temperature in the actual environment;

[0040] A first calculation unit, configured to calculate an estimated battery cycle count at the conventional temperature according to the first cycle count when the battery capacity reaches a preset lower limit value in the conventional battery cycle test;

[0041] A construction unit, configured to construct mapping functions respectively corresponding to the multiple cycle charging tests according to the battery cycle counts and battery capacities respectively corresponding to the multiple cycle charging tests; the mapping functions include a first mapping function corresponding to the conventional battery cycle test, a second mapping function corresponding to the deep charge and discharge cycle test, and a third mapping function corresponding to the high charging rate cycle test;

[0042] A second calculation unit, configured to calculate an estimated deep charge and discharge cycle count and an estimated high charging rate cycle count corresponding to the estimated battery cycle count;

[0043] A third calculation unit, configured to calculate the battery cycle life of the battery under test according to the estimated battery cycle count, the estimated deep charge and discharge cycle count, the estimated high charging rate cycle count, the first mapping function, the second mapping function, and the third mapping function.

[0044] In a third aspect of the embodiments of the present invention, a terminal 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 steps of the analysis method of the electrical experiment data described in the first aspect above are implemented.

[0045] In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the analysis method of the electrical experiment data described in the first aspect above are implemented.

[0046] The beneficial effects of the embodiments of the present invention compared with the prior art are as follows: By performing tests on various charge-discharge conditions such as conventional battery cycle tests, deep charge-discharge cycle tests, and high charging rate cycle tests on the battery under test at a preset temperature, the relationship between the battery capacity and the number of cycles under different conditions is collected. Using these test data to establish multiple mapping functions (including the first mapping function for conventional battery cycle tests, the second mapping function for deep charge-discharge cycle tests, and the third mapping function for high charging rate cycle tests), the actual service life of the battery under different charge-discharge conditions can be accurately predicted, avoiding the limitations of traditional methods based on a single condition, thereby improving the accuracy and reliability of battery life prediction. The present invention can not only handle the usage conditions of conventional batteries, but also take into account extreme conditions such as deep charge-discharge and high charging rate, and can provide a more comprehensive and reasonable evaluation for the life prediction of batteries in different application scenarios. Especially for batteries used in special application environments that require high charging rate or deep charge-discharge, the prediction method of the present invention is of great significance. By calculating the estimated number of battery cycles, the estimated number of deep charge-discharge cycles, and the estimated number of high charging rate cycles based on the preset lower limit value of the conventional battery cycle test and the test data under other cycle conditions, the overall cycle life of the battery can be more comprehensively calculated. This multi-dimensional estimation method provides more scientific data support for the reliability evaluation of the battery. Since the present invention can optimize the prediction results according to different usage conditions by adjusting the test parameters (such as temperature, charging rate, depth, etc.) of different conditions, it can adapt to the performance of the battery in various working environments and improve the versatility and adaptability of battery life prediction. In summary, the technical solution provided by the present invention not only realizes the accurate prediction of battery life, but also effectively solves the technical bottleneck in the prior art of lacking accurate prediction of battery life under different conditions. Description of the Drawings

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings in the following descriptions are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0048] Figure 1 Fig. shows a schematic flowchart of an analysis method for electrical experiment data provided by the present invention;

[0049] Figure 2 Fig. shows a schematic diagram of an analysis device for electrical experiment data provided by an embodiment of the present invention;

[0050] Figure 3 Fig. shows a schematic diagram of a terminal device provided by an embodiment of the present invention. Detailed implementation manners

[0051] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are presented to thoroughly understand the embodiments of the present invention. However, those skilled in the art should understand that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present invention.

[0052] The embodiments of the present invention provide an analysis method and device for electrical experiment data to solve the technical problem of lacking accurate prediction of battery life under different working conditions.

[0053] First, the present invention provides an analysis method for electrical experiment data. Please refer to Figure 1 , Figure 1 Fig. shows a schematic flowchart of an analysis method for electrical experiment data provided by the present invention. As Figure 1 shown, the analysis method for electrical experiment data may include the following steps:

[0054] Step 101: Collect multiple battery cycle test data of the battery to be tested at a preset temperature; the multiple battery cycle test data refers to the battery capacities corresponding to various cycle charging tests respectively under multiple battery cycles; the various cycle charging tests include a conventional battery cycle test, a deep charge-discharge cycle test, and a high charging rate cycle test; the conventional battery cycle test refers to a charge-discharge cycle performed under standard conditions; the deep charge-discharge cycle test refers to operations of fully charging the battery and completely consuming the battery power during the charge-discharge cycle; the high charging rate cycle test refers to a charge-discharge cycle performed at a charging rate higher than the standard charging rate; the preset temperature is higher than the conventional temperature in the actual environment;

[0055] Since the cycle life of the battery often requires a long time to be tested at the conventional temperature, in order to accelerate the test efficiency, the ambient temperature is increased to a preset temperature, thereby accelerating the aging rate of the battery to shorten the test duration. In this embodiment, a preset temperature higher than the conventional temperature is used for a variety of cyclic charge tests. By controlling the temperature in the test environment, the chemical changes of the battery materials are promoted, so that the battery undergoes more aging processes in a shorter time. This method helps to shorten the test cycle and obtain sufficient data.

[0056] The performance of the battery is tested under a variety of different usage conditions, and different types of charge-discharge cycle tests are carried out. Each test records the change in the battery capacity. Here, three types of charge-discharge cycles are involved:

[0057] ① Conventional battery cycle test: It refers to the charge-discharge cycle carried out under standard usage conditions, simulating the conventional usage state of the battery. The standard usage conditions can be set based on the ideal working conditions of the battery, which will not be elaborated here.

[0058] ② Deep charge-discharge cycle test: It refers to discharging the battery to its minimum power after it is fully charged, used to simulate the high-intensity usage environment of the battery.

[0059] ③ High charge rate cycle test: It refers to the charge-discharge cycle carried out under conditions with a higher charge rate than the standard charge rate, simulating the performance of the battery in a fast charging scenario.

[0060] Step 102: Calculate the estimated battery cycle times at the conventional temperature according to the first cycle times when the battery capacity reaches the preset lower limit value in the conventional battery cycle test;

[0061] The preset lower limit value is usually 80% of the maximum battery capacity or other standard values. Since Step 101 is based on the preset temperature for the battery cycle test, it is necessary to convert the battery cycle test data corresponding to the preset temperature into the battery cycle test data at the conventional temperature for subsequent analysis.

[0062] Among them, there is a certain mathematical relationship between the chemical reaction rates at different test temperatures. Therefore, the estimated battery cycle times at the conventional temperature can be calculated based on the first cycle times when the battery capacity reaches the preset lower limit value in the conventional battery cycle test at the preset temperature. The specific logic is as follows:

[0063] Specifically, Step 102 specifically includes Step 1021 to Step 1022:

[0064] Step 1021: Calculate the first chemical reaction rate corresponding to the conventional temperature and calculate the second chemical reaction rate corresponding to the preset temperature; the conventional temperature refers to the average temperature of the battery in the actual usage environment;

[0065] The normal temperature refers to the average ambient temperature that the battery experiences during normal use. At this temperature, the chemical reactions inside the battery (such as the charge transfer and chemical reactions inside the battery during charging and discharging) occur at a certain rate. This rate usually has a certain relationship with the temperature. Generally, the higher the temperature, the faster the chemical reaction rate.

[0066] Specifically, step 1021 specifically includes steps A1 to A2:

[0067] Step A1: Substitute the normal temperature into the following preset function to obtain the first chemical reaction rate;

[0068] Step A2: Substitute the preset temperature into the following preset function to obtain the second chemical reaction rate;

[0069] The preset function is:

[0070]

[0071] where k represents the first chemical reaction rate or the second chemical reaction rate, A represents the frequency factor, E a represents the activation energy of the reaction, R represents the gas constant, and T represents the normal temperature or the preset temperature.

[0072] The higher the temperature, the faster the reaction rate. This is because as the temperature increases, the energy of molecular motion increases, and the probability of effective collisions between molecules increases, resulting in an increase in the reaction rate.

[0073] The activation energy E a refers to the minimum energy required for reactant molecules to react. At a certain temperature, only a part of the molecules have enough energy (higher than the activation energy) to have effective collisions and be converted into products. The larger E a is, the more difficult the reaction is to proceed, and the stronger the sensitivity of the chemical reaction rate k to temperature changes.

[0074] The frequency factor A is related to the concentration of reactant molecules and the geometric characteristics of collisions, and represents the effectiveness of collisions between reactant molecules. It is a constant that reflects the frequency of collisions between molecules. If the molecular structure or reaction path changes, the frequency factor will also change accordingly.

[0075] When the temperature rises, the energy of molecular motion increases, the collision frequency increases, and more molecules can obtain enough energy to overcome the activation energy, thus increasing the reaction rate. The chemical reaction rate k has an exponential relationship with the temperature T: for every small increase in temperature, the chemical reaction rate k will increase significantly.

[0076] When the temperature increases, will become smaller, It increases, thereby causing an increase in the chemical reaction rate k. High temperature enables more molecules to acquire sufficient energy to overcome the activation energy barrier, resulting in an increase in the reaction rate.

[0077] The preset function can help understand the change in the reaction rate constant when the temperature rises.

[0078] Step 1022: Calculate the estimated battery cycle times at the normal temperature based on the first chemical reaction rate, the second chemical reaction rate, and the first cycle number when the battery capacity reaches the preset lower limit value in the conventional battery cycle test; the estimated battery cycle times refer to the estimated value of the battery cycle number when the battery capacity reaches the preset lower limit value under the condition of the preset temperature.

[0079] It is known that at the preset temperature, the chemical reaction rate of the battery is relatively fast, and the battery capacity decays relatively fast. By calculating the difference in the chemical reaction rates between the normal temperature and the preset temperature, the cycle times of the battery at the normal temperature can be deduced. The key idea here is that the chemical reaction rate is inversely proportional to the battery life, that is, the faster the chemical reaction rate, the faster the battery ages and the shorter the life. Therefore, by calculating the ratio between the fast reaction rate at the preset temperature and the reaction rate at the normal temperature, and combining with the battery cycle number at the preset temperature, the battery cycle life at the normal temperature can be deduced inversely. Among them, the specific calculation logic of the estimated battery cycle times is as follows:

[0080] Specifically, step 1022 specifically includes steps B1 to B2:

[0081] Step B1: Divide the second chemical reaction rate by the first chemical reaction rate to obtain the chemical reaction rate multiple.

[0082] Step B2: Multiply the first cycle number by the chemical reaction rate multiple to obtain the estimated battery cycle times.

[0083] Assume that the reaction rate of the battery at the preset temperature is R preset , and the reaction rate at the normal temperature is R normal , and the cycle number during the conventional battery cycle test is N preset . Through the known difference in the chemical reaction rates, calculate the estimated cycle number N normal of the battery at the normal temperature, and the calculation form is:

[0084]

[0085] In this embodiment, by calculating the first and second chemical reaction rates corresponding to the conventional temperature and the preset temperature respectively, the present invention can fully consider the influence of temperature on the chemical reaction of the battery. The performance and lifespan of the battery are greatly affected by temperature. Especially in a high-temperature environment, the reaction rate of the battery will change significantly. Therefore, considering the influence of temperature on the reaction rate can more accurately estimate the actual cycle life of the battery under different environments. The conventional temperature refers to the average temperature of the battery in the actual use environment. Therefore, the technical solution of the present invention can truly reflect the performance of the battery under the conventional use environment. By predicting the lifespan based on the actual use conditions, not only can the performance prediction of the battery be more in line with the actual situation, but also it can provide a basis for the optimized design of the battery to ensure the long-term stability of the battery in different working environments. By calculating the estimated cycle times of the battery by combining the temperature and the chemical reaction rate when the battery capacity reaches the preset lower limit value, a more scientific prediction of the actual service life of the battery can be provided.

[0086] Step 103: Construct mapping functions corresponding to each of the multiple cycle charging tests according to the battery cycle times and battery capacities corresponding to each of the multiple cycle charging tests; the mapping functions include a first mapping function corresponding to a conventional battery cycle test, a second mapping function corresponding to a deep charge-discharge cycle test, and a third mapping function corresponding to a high charging rate cycle test;

[0087] By constructing the mapping functions, the relationship between the cycle times and the battery capacity under different charging modes is modeled. The mapping functions are used to express the degradation law of the battery under different usage scenarios. Each cycle mode (conventional, deep charge-discharge, high-speed charging) has its own mapping relationship, and these relationships describe the capacity change of the battery under different cycle times. These functions are fitted through experimental data to construct the corresponding mathematical model.

[0088] Create a corresponding mapping function for each test type. These functions reflect the decay speed and manner of the battery under different charge-discharge conditions. Through experimental data, mapping functions are generated for conventional cycles, deep charge-discharge cycles, and high charging rate cycles respectively. Each function can help predict the lifespan of the battery under specific test conditions. Among them, the construction logic of the mapping functions is as follows:

[0089] Specifically, step 103 specifically includes steps 1031 to 1033:

[0090] Step 1031: Input the battery cycle times and battery capacities corresponding to the conventional battery cycle test into the fitting function to obtain a first fitting function;

[0091] Step 1032: Input the battery cycle times and battery capacities corresponding to the deep charge-discharge cycle test into the fitting function to obtain a second fitting function;

[0092] Step 1033: Input the number of battery cycles and battery capacity corresponding to the high charging rate cycle test into the fitting function to obtain the third fitting function;

[0093] The fitting function is:

[0094]

[0095] where C(N) represents the battery capacity, C0 represents the initial capacity, N represents the number of battery cycles, α represents the proportion of the initial rapid decay part, b represents the rate of the initial rapid decay, c represents the rate of the later stable decay, and d represents the exponent for adjusting the shape of the later decay.

[0096] Battery capacity decay generally includes two main stages:

[0097] ① Initial rapid decay stage: In the initial few cycles of the battery, the capacity decays relatively quickly. This is mainly due to the rapid passivation of the electrode active material, the formation of the SEI film, and other initial chemical changes.

[0098] ② Later stable decay stage: After the initial rapid decay, the rate of battery capacity decay tends to be stable. The decay in this stage is mainly caused by the progressive aging process inside the battery, such as electrolyte decomposition, loss of active material, etc.

[0099] To simultaneously describe the behaviors of the above two stages, the fitting function adopts a double-exponential form:

[0100] Initial rapid decay: Described by the term ae -bN Here, α determines the proportion of the initial decay in the total decay, and b determines the rate of the initial decay. Because e -bN is an exponential decay function, this term decays rapidly when N is small.

[0101] Later stable decay: Described by the term Here, (1 - a) determines the proportion of the later decay in the total decay, and c and d determine the rate and shape of the later decay. In particular, the introduction of d enables this term to describe more complex non-linear decay behaviors.

[0102] Conventional battery cycle test: In this case, the initial rapid decay of the battery is not obvious, and the later stage is relatively stable. At this time, a is small, b is large, while c and d are relatively small, making the later decay relatively gentle.

[0103] Deep charge-discharge cycle test: Deep charge-discharge causes greater damage to the battery, and the initial rapid decay is significant. At this time, a is large, b is small, while c is large, and d may need to be adjusted to better describe the later accelerated decay.

[0104] High charge rate cycle test: A high charge rate causes the battery to degrade rapidly both initially and later. At this time, a increases, both b and c are large, and d may need to be adjusted to reflect the non-linear accelerating degradation in the later stage.

[0105] By introducing a double exponential, this fitting function can effectively capture the complex behavior of the battery capacity changing with the number of cycles. The rapid initial degradation and the stable later degradation are described by two exponential terms respectively, and are adjusted by parameters a, b, c, and d to adapt to different battery cycle test scenarios. Through fitting with experimental data, these parameters can be accurately determined, enabling the fitting function to accurately describe the degradation law of the actual battery capacity.

[0106] Step 104: Calculate the estimated number of deep charge-discharge cycles and the estimated number of high charge rate cycles corresponding to the estimated number of battery cycles.

[0107] In the actual usage environment, there is a certain proportion of deep charge-discharge cycles or high charge rate cycles for users. By estimating the number of deep charge-discharge cycles and the number of high charge rate cycles, the calculated battery cycle life is more in line with the actual usage environment. Therefore, in this embodiment, based on the proportion of the number of deep charge-discharge cycles in the total number of battery cycles statistically in the actual usage environment, the deep charge-discharge ratio is obtained. Based on the proportion of the number of high charge rate cycles in the total number of battery cycles statistically in the actual usage environment, the high charge rate ratio is obtained. Then, according to the deep charge-discharge ratio and the high charge rate ratio, the estimated number of deep charge-discharge cycles and the estimated number of high charge rate cycles are calculated. The specific logic is as follows:

[0108] Specifically, step 104 specifically includes steps 1041 to 1043:

[0109] Step 1041: Obtain the deep charge-discharge ratio and the high charge rate ratio; the deep charge-discharge ratio is obtained based on the proportion of the number of deep charge-discharge cycles in the total number of battery cycles statistically in the actual usage environment, and the high charge rate ratio is obtained based on the proportion of the number of high charge rate cycles in the total number of battery cycles statistically in the actual usage environment.

[0110] The deep charge-discharge ratio refers to the ratio of the number of deep charge-discharge cycles the battery experiences to the total number of cycles in the actual usage environment. Deep charge-discharge usually means charging the battery to a relatively high level of its capacity and discharging it to a relatively low level (e.g., charging and discharging from 0% to 100%). This value is obtained by counting the deep charge-discharge ratio in different users or different application scenarios. In the actual usage environment, the charge-discharge pattern of the battery may be affected by various factors (such as device type, usage frequency, etc.), and deep charge-discharge will accelerate the aging of the battery. Therefore, it is necessary to determine, through actual data statistics, the proportion of the number of deep charge-discharge cycles the battery experiences during its life cycle to the total number of cycles. This ratio helps estimate the expected life of the battery under this operating condition.

[0111] The high charging rate ratio refers to the ratio of the number of charge-discharge cycles with a high charging rate the battery experiences to the total number of cycles in the actual usage environment. A high charging rate cycle means the battery is charged at a relatively high rate in a short period of time, which usually causes more heat generation and chemical stress on the battery. This ratio is obtained by counting the frequency of high charging rate cycles in actual use. High charging rate cycles usually have a greater impact on the battery. Therefore, in actual use, the proportion of high-speed charging is an important factor affecting the battery life. By counting the proportion of high charging rate cycles during the battery usage, the impact of this charging mode on the battery life can be quantified and provide a basis for estimating the battery cycle times.

[0112] Step 1042: Multiply the estimated battery cycle times by the deep charge-discharge ratio to obtain the estimated deep charge-discharge cycle times;

[0113] Step 1043: Multiply the estimated battery cycle times by the high charging rate ratio to obtain the estimated high charging rate cycle times.

[0114] In this embodiment, through the statistical data in the actual usage environment, first obtain the ratios of the battery under deep charge-discharge and high charging rate conditions (the deep charge-discharge ratio and the high charging rate ratio respectively), and then combine with the estimated cycle times of the battery at normal temperature to calculate the estimated cycle times of the battery under these conditions respectively. This process provides a more accurate reference for the battery life prediction, especially for batteries used under different charging modes. This method can reflect the life performance of the battery under different operating conditions and provide data support for actual applications.

[0115] Step 105: Calculate the battery cycle life of the battery to be tested according to the estimated battery cycle times, the estimated deep charge-discharge cycle times, the estimated high charging rate cycle times, the first mapping function, the second mapping function, and the third mapping function.

[0116] Taking into account the estimated number of cycles under different charging modes and the corresponding mapping functions, the comprehensive life of the battery is finally calculated. Through mathematical modeling, combining the estimated number of cycles of each test mode and the capacity change of the battery, the total cycle life of the battery is finally obtained. This life value is a comprehensive result based on the performance under different test conditions, reflecting the long-term stability and durability of the battery under various working conditions. Among them, the specific calculation logic of the battery cycle life is as follows:

[0117] Specifically, step 105 specifically includes steps 1051 to 1057:

[0118] Step 1051: Substitute the estimated number of deep charge-discharge cycles into the second mapping function to obtain the first battery capacity;

[0119] The estimated number of deep charge-discharge cycles reflects the number of times the battery undergoes deep charge-discharge operations. Deep charge-discharge will cause the attenuation of the battery capacity, usually having a more significant impact on the battery. By substituting the estimated number of deep charge-discharge cycles into the second mapping function, the capacity change of the battery in this mode can be obtained.

[0120] Step 1052: Substitute the estimated number of high charging rate cycles into the third mapping function to obtain the second battery capacity;

[0121] The estimated number of high charging rate cycles reflects the number of times the battery is charged at a high charging rate. High charging rate will generate additional heat and pressure on the battery, usually accelerating the aging process of the battery, and thus also causing the attenuation of the battery capacity. By substituting the estimated number of high charging rate cycles into the third mapping function, the capacity change of the battery in this mode can be obtained.

[0122] Step 1053: Subtract the first battery capacity from the initial capacity to obtain the first loss capacity;

[0123] The initial capacity is the nominal capacity of the battery when it leaves the factory. By subtracting the first battery capacity (the capacity after being affected by deep charge-discharge) from the initial capacity, the first loss capacity can be obtained, that is, the capacity lost by the battery during the deep charge-discharge process.

[0124] Step 1054: Subtract the second battery capacity from the initial capacity to obtain the second loss capacity;

[0125] The second battery capacity is the capacity after high charging rate cycles. By subtracting the second battery capacity from the initial capacity, the second loss capacity can be obtained, that is, the capacity lost by the battery at a high charging rate.

[0126] Step 1055: Add the first loss capacity and the second loss capacity to obtain the total loss capacity;

[0127] By adding the capacity losses under the two charging modes of deep charge and discharge and high charging rate, the total loss capacity of the battery can be obtained. The total loss capacity reflects the overall impact on the battery health caused by deep charge and discharge and high charging rate during the entire usage process of the battery.

[0128] Step 1056: Substitute the total loss capacity into the first mapping function to obtain the loss battery cycle count.

[0129] Based on the total loss capacity, the loss cycle count of the battery is calculated. The first mapping function is a model derived from the relationship between battery capacity loss and cycle count. This function maps the total loss capacity to the cycle count lost by the battery. This mapping function can quantify how many cycles the battery experiences before significant performance degradation when the capacity loss is a certain value.

[0130] Step 1057: Subtract the loss battery cycle count from the estimated battery cycle count to obtain the battery cycle life of the battery under test.

[0131] The estimated battery cycle count is the total cycle count that the battery theoretically has under standard conditions, while the loss battery cycle count is the reduction in cycle count caused by capacity loss. By subtracting the loss battery cycle count from the estimated battery cycle count, the actual cycle life of the battery can be obtained, that is, the available life of the battery under test in actual use.

[0132] By separately considering the effects of different charging rates such as deep charge and discharge and fast charging on the battery performance, the corresponding battery capacities are calculated based on the deep charge and discharge cycle count and the high charging rate cycle count respectively. Combining the capacity losses under these two different working conditions can comprehensively reflect the life performance of the battery in various complex working environments, thus providing a more accurate basis for battery life prediction. By comparing the initial battery capacity with the battery capacities under different working conditions, the first loss capacity and the second loss capacity obtained can effectively measure the performance degradation of the battery under each working condition. Then, by substituting the loss capacity into the mapping function, the lost cycle count is further deduced, and the loss situation of the battery in actual use is accurately calculated. This process significantly improves the accuracy of battery life prediction and avoids the errors caused by the simple assumption of linear capacity decay. By calculating the total loss capacity and further deriving the loss battery cycle count using the first mapping function, the actual cycle life of the battery under test is finally obtained. This global comprehensive evaluation method considers the performance of the battery under multiple working conditions, provides a more accurate battery life estimation, and overcomes the deficiency of traditional methods that only consider a single working condition. This technology can help accurately grasp the long-term reliability of the battery and is especially suitable for application scenarios with strict requirements for battery life.

[0133] In this embodiment, by performing tests on the battery under test in various charge and discharge conditions such as conventional battery cycle tests, deep charge and discharge cycle tests, and high charging rate cycle tests at a preset temperature, the relationship between the battery capacity and the number of cycles under different conditions is collected. Using these test data to establish multiple mapping functions (including the first mapping function for conventional battery cycle tests, the second mapping function for deep charge and discharge cycle tests, and the third mapping function for high charging rate cycle tests), the actual service life of the battery under different charge and discharge conditions can be accurately predicted, avoiding the limitations of traditional methods based on a single condition, thereby improving the accuracy and reliability of battery life prediction. The present invention can not only handle the operating conditions of conventional batteries, but also take into account extreme conditions such as deep charge and discharge and high charging rate, and can provide a more comprehensive and reasonable evaluation for the life prediction of batteries in different application scenarios. Especially for batteries used in special application environments that require high charging rate or deep charge and discharge, the prediction method of the present invention is of great significance. By calculating the estimated number of battery cycles, the estimated number of deep charge and discharge cycles, and the estimated number of high charging rate cycles based on the preset lower limit value of the conventional battery cycle test and the test data under other cycle conditions, the overall cycle life of the battery can be more comprehensively calculated. This multi-dimensional estimation method provides more scientific data support for the reliability evaluation of the battery. Since the present invention can optimize the prediction results according to different usage conditions by adjusting the test parameters (such as temperature, charging rate, depth, etc.) of different conditions, it can adapt to the performance of the battery in various working environments and improve the versatility and adaptability of battery life prediction. In summary, the technical solution provided by the present invention not only realizes the accurate prediction of battery life, but also effectively solves the technical bottleneck in the prior art of lacking accurate prediction of battery life under different conditions.

[0134] As Figure 2 The present invention provides an analysis device for electrical experiment data. Please refer to Figure 2 , Figure 2 which shows a schematic diagram of an analysis device for electrical experiment data provided by the present invention. As Figure 2 shown, an analysis device for electrical experiment data includes:

[0135] The acquisition unit 21 is configured to acquire a plurality of battery cycle test data of the battery under test at a preset temperature; the plurality of battery cycle test data refers to the battery capacities respectively corresponding to multiple cycle charging tests under multiple battery cycles; the multiple cycle charging tests include a conventional battery cycle test, a deep charge-discharge cycle test, and a high charging rate cycle test; the conventional battery cycle test refers to a charge-discharge cycle performed under standard conditions; the deep charge-discharge cycle test refers to operations of fully charging the battery and completely consuming the battery power during the charge-discharge cycle; the high charging rate cycle test refers to a charge-discharge cycle performed at a charging rate higher than the standard charging rate; the preset temperature is higher than the conventional temperature in the actual environment.

[0136] The first calculation unit 22 is configured to calculate the estimated battery cycle number at the conventional temperature according to the first cycle number when the battery capacity in the conventional battery cycle test reaches a preset lower limit value.

[0137] The construction unit 23 is configured to construct mapping functions respectively corresponding to the multiple cycle charging tests according to the battery cycle numbers and battery capacities respectively corresponding to the multiple cycle charging tests; the mapping functions include a first mapping function corresponding to the conventional battery cycle test, a second mapping function corresponding to the deep charge-discharge cycle test, and a third mapping function corresponding to the high charging rate cycle test.

[0138] The second calculation unit 24 is configured to calculate the estimated deep charge-discharge cycle number and the estimated high charging rate cycle number corresponding to the estimated battery cycle number.

[0139] The third calculation unit 25 is configured to calculate the battery cycle life of the battery under test according to the estimated battery cycle number, the estimated deep charge-discharge cycle number, the estimated high charging rate cycle number, the first mapping function, the second mapping function, and the third mapping function.

[0140] An analysis device for electrical experiment data provided by the present invention collects the relationship between battery capacity and the number of cycles under different charge-discharge conditions by performing tests on the battery to be measured under various charge-discharge conditions such as conventional battery cycle tests, deep charge-discharge cycle tests, and high charge rate cycle tests at a preset temperature. By using these test data to establish multiple mapping functions (including the first mapping function for conventional battery cycle tests, the second mapping function for deep charge-discharge cycle tests, and the third mapping function for high charge rate cycle tests), it can accurately predict the actual service life of the battery under different charge-discharge conditions, avoiding the limitations of traditional methods based on a single condition, thereby improving the accuracy and reliability of battery life prediction. The present invention can not only handle the usage conditions of conventional batteries, but also take into account extreme conditions such as deep charge-discharge and high charge rate, and can provide a more comprehensive and reasonable evaluation for the life prediction of batteries in different application scenarios. Especially for batteries used in special application environments that require high charge rate or deep charge-discharge, the prediction method of the present invention is of great significance. By calculating the estimated number of battery cycles, the estimated number of deep charge-discharge cycles, and the estimated number of high charge rate cycles based on the preset lower limit value of the conventional battery cycle test and the test data under other cycle conditions, the overall cycle life of the battery can be more comprehensively deduced. This multi-dimensional estimation method provides more scientific data support for the reliability evaluation of the battery. Since the present invention can optimize the prediction results according to different usage conditions by adjusting the test parameters (such as temperature, charge rate, depth, etc.) of different conditions, it can adapt to the performance of the battery in various working environments and improve the versatility and adaptability of battery life prediction. In summary, the technical solution provided by the present invention not only realizes the accurate prediction of battery life, but also effectively solves the technical bottleneck in the prior art of lacking accurate prediction of battery life under different conditions.

[0141] Figure 3 is a schematic diagram of a terminal device provided by an embodiment of the present invention. As Figure 3 shown, a terminal device 3 in this embodiment includes: a processor 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processor 30, such as an analysis program for electrical experiment data. When the processor 30 executes the computer program 32, it implements the steps in the above-mentioned embodiments of various analysis methods for electrical experiment data, such as Figure 1 the steps 101 to 105 shown. Alternatively, when the processor 30 executes the computer program 32, it implements the functions of each unit in the above-mentioned device embodiments, such as Figure 2 the functions of the units shown.

[0142] Exemplarily, the computer program 32 may be divided into one or more units, which are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more units may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 32 in the terminal device 3. For example, the specific functions of the computer program 32 that can be divided into each unit are as follows:

[0143] An acquisition unit, configured to acquire a plurality of battery cycle test data of a battery to be tested at a preset temperature; the plurality of battery cycle test data refers to the battery capacities respectively corresponding to various cycle charging tests under multiple battery cycles; the various cycle charging tests include a conventional battery cycle test, a deep charge-discharge cycle test, and a high charging rate cycle test; the conventional battery cycle test refers to a charge-discharge cycle performed under standard conditions; the deep charge-discharge cycle test refers to operations of fully charging the battery and completely consuming the battery power during the charge-discharge cycle; the high charging rate cycle test refers to a charge-discharge cycle performed at a charging rate higher than the standard charging rate; the preset temperature is higher than the conventional temperature in the actual environment;

[0144] A first calculation unit, configured to calculate an estimated battery cycle number at the conventional temperature according to the first cycle number when the battery capacity reaches a preset lower limit value in the conventional battery cycle test;

[0145] A construction unit, configured to construct mapping functions respectively corresponding to the various cycle charging tests according to the battery cycle numbers and battery capacities respectively corresponding to the various cycle charging tests; the mapping functions include a first mapping function corresponding to the conventional battery cycle test, a second mapping function corresponding to the deep charge-discharge cycle test, and a third mapping function corresponding to the high charging rate cycle test;

[0146] A second calculation unit, configured to calculate an estimated deep charge-discharge cycle number and an estimated high charging rate cycle number corresponding to the estimated battery cycle number;

[0147] A third calculation unit, configured to calculate the battery cycle life of the battery to be tested according to the estimated battery cycle number, the estimated deep charge-discharge cycle number, the estimated high charging rate cycle number, the first mapping function, the second mapping function, and the third mapping function.

[0148] The terminal device includes, but is not limited to, the processor 30 and the memory 31. Those skilled in the art can understand that, Figure 3This is merely an example of a terminal device 3 and does not constitute a limitation on a terminal device 3. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the terminal device may also include input / output devices, network access devices, buses, etc.

[0149] The processor 30 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0150] The memory 31 may be an internal storage unit of the terminal device 3, such as a hard disk or memory of a terminal device 3. The memory 31 may also be an external storage device of the terminal device 3, such as a plug-in hard disk, smart media card

[0151] (Smart Media Card, SMC), secure digital (SD) card, flash card, etc. Further, the memory 31 may also include both an internal storage unit and an external storage device of the terminal device 3. The memory 31 is used to store the computer program and other programs and data required by the roaming control device. The memory 31 may also be used to temporarily store data that has been output or is to be output.

[0152] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0153] It should be noted that for the information interaction, execution process, etc. between the above-mentioned devices / units, since they are based on the same concept as the method embodiments of the present invention, their specific functions and the technical effects brought about can be specifically referred to in the method embodiment part, and will not be elaborated here.

[0154] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiments can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present invention. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0155] An embodiment of the present invention further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the foregoing method embodiments can be implemented.

[0156] An embodiment of the present invention provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the foregoing method embodiments when executed.

[0157] If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above method embodiments of the present invention, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps in the foregoing method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can at least include: recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disc, etc.

[0158] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0159] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0160] In the embodiments provided by the present invention, it should be understood that the disclosed device / network device and method can be implemented in other ways. For example, the device / network device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0161] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units. They can be located in one place or distributed to multiple network units.

[0162] It should be understood that when used in the specification of the present invention and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.

[0163] It should also be understood that the term "and / or" used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0164] As used in the specification of the present invention and the appended claims, the term "if" can be interpreted as "when", "once", "in response to determining", or "in response to detecting" according to the context. Similarly, the phrase "if determined" or "if [the described condition or event] is detected" can be interpreted as meaning "once determined", "in response to determining", "once [the described condition or event] is detected", or "in response to detecting [the described condition or event]" according to the context.

[0165] In addition, in the description of the specification and the appended claims of the present invention, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0166] The reference to "one embodiment" or "some embodiments" etc. described in the specification of the present invention means that in one or more embodiments of the present invention, specific features, structures or characteristics described in connection with that embodiment are included. Thus, the statements "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all of the embodiments", unless otherwise specifically emphasized in another way. The terms "comprising", "including", "having" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in another way.

[0167] The above-described embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for analyzing electrical experiment data, characterized in that, The analysis method of the electrical experiment data includes: Collecting multiple battery cycle test data of the battery to be tested at a preset temperature; the multiple battery cycle test data refer to the battery capacities respectively corresponding to multiple cycle charging tests under multiple battery cycles; the multiple cycle charging tests include a conventional battery cycle test, a deep charge-discharge cycle test, and a high charging rate cycle test; the conventional battery cycle test refers to a charge-discharge cycle performed under standard conditions; the deep charge-discharge cycle test refers to an operation of fully charging the battery and completely consuming the battery power during the charge-discharge cycle; the high charging rate cycle test refers to a charge-discharge cycle performed at a charging rate higher than the standard charging rate; the preset temperature is higher than the conventional temperature in the actual environment; Calculating the estimated battery cycle number at the conventional temperature according to the first cycle number when the battery capacity reaches the preset lower limit value in the conventional battery cycle test; Constructing mapping functions respectively corresponding to the multiple cycle charging tests according to the battery cycle numbers and battery capacities respectively corresponding to the multiple cycle charging tests; the mapping functions include a first mapping function corresponding to the conventional battery cycle test, a second mapping function corresponding to the deep charge-discharge cycle test, and a third mapping function corresponding to the high charging rate cycle test; Calculating the estimated deep charge-discharge cycle number and the estimated high charging rate cycle number corresponding to the estimated battery cycle number; Calculating the battery cycle life of the battery to be tested according to the estimated battery cycle number, the estimated deep charge-discharge cycle number, the estimated high charging rate cycle number, the first mapping function, the second mapping function, and the third mapping function.

2. The analysis method of electrical experiment data according to claim 1, characterized in that, The step of calculating the estimated battery cycle number at the conventional temperature according to the first cycle number when the battery capacity reaches the preset lower limit value in the conventional battery cycle test includes: Calculating the first chemical reaction rate corresponding to the conventional temperature and calculating the second chemical reaction rate corresponding to the preset temperature; the conventional temperature refers to the average temperature of the battery in the actual use environment; Calculating the estimated battery cycle number at the conventional temperature according to the first chemical reaction rate, the second chemical reaction rate, and the first cycle number when the battery capacity reaches the preset lower limit value in the conventional battery cycle test; the estimated battery cycle number refers to the estimated value of the battery cycle number when the battery capacity reaches the preset lower limit value under the condition of the preset temperature.

3. The analysis method of electrical experiment data according to claim 2, characterized in that, The step of calculating the first chemical reaction rate corresponding to the conventional temperature and calculating the second chemical reaction rate corresponding to the preset temperature includes: Substituting the conventional temperature into the following preset function to obtain the first chemical reaction rate; Substituting the preset temperature into the following preset function to obtain the second chemical reaction rate; The preset function is: wherein, k represents the first chemical reaction rate or the second chemical reaction rate, A represents the frequency factor, E a represents the activation energy of the reaction, R represents the gas constant, and T represents the conventional temperature or the preset temperature.

4. The analysis method of electrical experiment data according to claim 2, characterized in that, The step of calculating the estimated battery cycle number at the conventional temperature according to the first chemical reaction rate, the second chemical reaction rate, and the first cycle number when the battery capacity reaches the preset lower limit value in the conventional battery cycle test includes: Dividing the second chemical reaction rate by the first chemical reaction rate to obtain the chemical reaction rate ratio; Multiply the first number of cycles by the chemical reaction rate multiple to obtain the estimated number of battery cycles.

5. The analysis method of electrical experiment data according to claim 1, wherein, The step of constructing mapping functions corresponding to multiple cycle charge tests according to the number of battery cycles and battery capacity corresponding to each of the multiple cycle charge tests includes: Input the number of battery cycles and battery capacity corresponding to a conventional battery cycle test into a fitting function to obtain a first fitting function; Input the number of battery cycles and battery capacity corresponding to a deep charge-discharge cycle test into a fitting function to obtain a second fitting function; Input the number of battery cycles and battery capacity corresponding to a high charge rate cycle test into a fitting function to obtain a third fitting function; The fitting function is: where C(N) represents the battery capacity, C0 represents the initial capacity, N represents the number of battery cycles, α represents the proportion of the initial rapid decay part, b represents the rate of the initial rapid decay, c represents the rate of the later stable decay, and d represents the exponent for adjusting the shape of the later decay.

6. The analysis method of electrical experiment data according to claim 1, characterized in that The step of calculating the estimated number of deep charge-discharge cycle times and the estimated number of high charge rate cycle times corresponding to the estimated number of battery cycles includes: Obtain the deep charge-discharge ratio and the high charge rate ratio; the deep charge-discharge ratio is obtained based on statistically calculating the proportion of the number of deep charge-discharge cycle times in the total number of battery cycles in the actual usage environment, and the high charge rate ratio is obtained based on statistically calculating the proportion of the number of high charge rate cycle times in the total number of battery cycles in the actual usage environment; Multiply the estimated number of battery cycles by the deep charge-discharge ratio to obtain the estimated number of deep charge-discharge cycle times; Multiply the estimated number of battery cycles by the high charge rate ratio to obtain the estimated number of high charge rate cycle times.

7. The analysis method of electrical experiment data according to claim 1, wherein The step of calculating the battery cycle life of the battery under test according to the estimated number of battery cycles, the estimated number of deep charge-discharge cycle times, the estimated number of high charge rate cycle times, the first mapping function, the second mapping function, and the third mapping function includes: Substitute the estimated number of deep charge-discharge cycle times into the second mapping function to obtain a first battery capacity; Substitute the estimated number of high charge rate cycle times into the third mapping function to obtain a second battery capacity; Subtract the first battery capacity from the initial capacity to obtain a first loss capacity; Subtract the second battery capacity from the initial capacity to obtain a second loss capacity; Add the first loss capacity and the second loss capacity to obtain a total loss capacity; Substitute the total loss capacity into the first mapping function to obtain the loss number of battery cycles; Subtract the loss number of battery cycles from the estimated number of battery cycles to obtain the battery cycle life of the battery under test.

8. An analysis device for electrical experiment data, characterized in that, The analysis device for the electrical experiment data includes: The acquisition unit is used to acquire multiple battery cycle test data of the battery under test at a preset temperature; the multiple battery cycle test data refers to the battery capacities respectively corresponding to multiple cycle charging tests when multiple battery cycles are executed; the multiple cycle charging tests include a conventional battery cycle test, a deep charge-discharge cycle test, and a high charging rate cycle test; the conventional battery cycle test refers to a charge-discharge cycle executed under standard conditions; the deep charge-discharge cycle test refers to an operation of fully charging the battery and completely consuming the battery power during the charge-discharge cycle; the high charging rate cycle test refers to a charge-discharge cycle at a charging rate higher than the standard charging rate; the preset temperature is higher than the conventional temperature in the actual environment; The first calculation unit is used to calculate the estimated battery cycle times at the conventional temperature according to the first cycle times when the battery capacity reaches the preset lower limit value in the conventional battery cycle test; The construction unit is used to construct mapping functions respectively corresponding to the multiple cycle charging tests according to the battery cycle times and battery capacities respectively corresponding to the multiple cycle charging tests; the mapping functions include a first mapping function corresponding to the conventional battery cycle test, a second mapping function corresponding to the deep charge-discharge cycle test, and a third mapping function corresponding to the high charging rate cycle test; The second calculation unit is used to calculate the estimated deep charge-discharge cycle times and the estimated high charging rate cycle times corresponding to the estimated battery cycle times; The third calculation unit is used to calculate the battery cycle life of the battery under test according to the estimated battery cycle times, the estimated deep charge-discharge cycle times, the estimated high charging rate cycle times, the first mapping function, the second mapping function, and the third mapping function; 9. A terminal device, characterized in that, The terminal device includes: a memory, a processor, and an analysis program of electrical experiment data stored on the memory and executable on the processor, and the analysis program of electrical experiment data is configured to implement the steps in the analysis method of electrical experiment data according to any one of claims 1 to 7; 10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps in the analysis method of electrical experiment data according to any one of claims 1 to 7;

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