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CN117538759A - High-throughput acquisition method of DC internal resistance of lithium-ion batteries - Google Patents

High-throughput acquisition method of DC internal resistance of lithium-ion batteries Download PDF

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Publication number
CN117538759A
CN117538759A CN202410033093.1A CN202410033093A CN117538759A CN 117538759 A CN117538759 A CN 117538759A CN 202410033093 A CN202410033093 A CN 202410033093A CN 117538759 A CN117538759 A CN 117538759A
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internal resistance
ion battery
lithium
conditions
target
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CN117538759B (en
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李棉刚
周奎
梁惠施
贡晓旭
林俊
史梓男
孙爱春
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Sichuan Energy Internet Research Institute EIRI Tsinghua University
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Sichuan Energy Internet Research Institute EIRI Tsinghua University
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/389—Measuring internal impedance, internal conductance or related variables
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

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Abstract

The invention relates to the technical field of lithium ion battery testing, in particular to a method for obtaining direct current internal resistance and high flux of a lithium ion battery, which comprises the following steps: determining at least one target change condition from preset experimental conditions, and taking the remaining conditions as control variables; selecting a target calculation model, and calculating the first direct current internal resistance of the lithium ion battery under different numerical combinations under different change conditions; performing experiments based on the target change conditions and the control variables to obtain second direct current internal resistance of the lithium ion battery under different numerical combinations of the target change conditions; optimizing parameters of the target calculation model; and obtaining other values or direct current internal resistances under other target change conditions based on the optimal parameters of the target calculation model in a high flux manner. The method aims to solve the problem that a large amount of experiments and time cost are required to be consumed for obtaining the direct current resistance of the lithium ion battery under all experimental conditions, and the direct current internal resistance data under other conditions is calculated through a small amount of direct current internal resistance data under different conditions.

Description

Method for obtaining direct-current internal resistance high flux of lithium ion battery
Technical Field
The invention relates to the technical field of lithium ion battery testing, in particular to a method for obtaining direct current internal resistance and high flux of a lithium ion battery.
Background
The direct-current internal resistance of the lithium ion battery is the apparent internal resistance of the lithium ion battery under constant current, and is an important influence factor of the rate performance and the power performance of the battery; compared with the alternating current internal resistance obtained by electrochemical impedance spectroscopy measurement, the direct current internal resistance reflects the performance of the lithium ion battery in the working state more intuitively, so that the method has important significance in evaluating the battery capacity, the power and the battery aging state of the lithium ion battery under different conditions through researching the direct current internal resistance of the lithium ion battery.
The measurement of the internal dc resistance of a lithium ion battery is affected by a variety of factors including the temperature at the time of measurement, the state of charge of the battery, the measured current, and the measured time. In general, if the direct current resistance of the lithium ion battery under all experimental conditions is to be obtained, a great amount of experimental cost and time cost are required to be consumed; therefore, it is necessary to calculate the dc internal resistance under other conditions from the lithium ion dc internal resistance data under a small amount of different conditions.
Disclosure of Invention
The invention aims to provide a high-flux acquisition method for the direct-current internal resistance of a lithium ion battery, which is used for solving the problem that a large amount of experimental cost and time cost are required to be consumed for acquiring the direct-current resistance of the lithium ion battery under all experimental conditions, and calculating the direct-current internal resistance data under other conditions through a small amount of lithium ion direct-current internal resistance data under different conditions.
The invention provides a method for obtaining direct-current internal resistance and high flux of a lithium ion battery, which comprises the following steps:
determining at least one target change condition from preset experimental conditions, and taking the remaining conditions as control variables;
selecting a target calculation model based on the number of target change conditions, and calculating the first direct current internal resistance of the lithium ion battery under different numerical combinations of different change conditions;
performing experiments based on the target change conditions and the control variables to obtain second direct current internal resistance of the lithium ion battery under different numerical combinations of the target change conditions;
optimizing parameters of the target calculation model based on the first direct-current internal resistance of the lithium ion battery and the second direct-current internal resistance of the lithium ion battery to obtain optimal parameters of the target calculation model;
and obtaining other values or direct current internal resistance under other target control change conditions based on the optimal parameters of the target calculation model in a high flux manner.
Further, determining at least one target variation condition from preset experimental conditions, taking the remaining conditions as control variables, including:
based on three preset experimental conditions of battery charge state, measurement current and measurement time, selecting at least one of the three preset experimental conditions as a target change condition, and taking the remaining conditions as control variables.
Further, selecting a target calculation model based on the number of target variation conditions, and calculating the first direct current internal resistance of the lithium ion battery under different numerical combinations under different variation conditions, including:
and selecting two conditions from the battery charge state, the measured current and the measured time as control variables, and obtaining the first direct current internal resistance of the lithium ion battery under different numerical value combinations of the remaining one change condition.
Further, a calculation formula for obtaining the first direct current internal resistance of the lithium ion battery under the condition of the remaining one change under different numerical combinations is as follows:
in the method, in the process of the invention,indicating the change condition as battery state of charge +.>The lower DC internal resistance; />Indicating the change condition as measuring current +.>The lower DC internal resistance; />Indicating the change condition as measurement time +.>The lower DC internal resistance; />Are model parameters.
Further, selecting a target calculation model based on the number of target change conditions, and calculating the first direct current internal resistance of the lithium ion battery under different numerical combinations under different change conditions, wherein the method further comprises the following steps:
and selecting one condition from the battery charge state, the measured current and the measured time as a control variable, and acquiring the first direct current internal resistance of the lithium ion battery under the combination of the two remaining change conditions with different values.
Further, a calculation formula for obtaining the first direct current internal resistance of the lithium ion battery under the condition of the remaining two change conditions under different numerical combinations is as follows:
in the method, in the process of the invention,indicating the change condition as battery state of charge +.>And measuring the current +.>The lower DC internal resistance;
in the method, in the process of the invention,indicating the change condition as battery state of charge +.>And measuring time->The lower DC internal resistance;
in the method, in the process of the invention,indicating the change condition as measuring current +.>And measuring time->The lower DC internal resistance; />Are model parameters.
Further, selecting a target calculation model based on the number of target change conditions, and calculating the first direct current internal resistance of the lithium ion battery under different numerical combinations under different change conditions, wherein the method further comprises the following steps:
and the three conditions of the battery charge state, the measurement current and the measurement time are taken as the change conditions, and the first direct current internal resistance of the lithium ion battery under different numerical value combinations of the three change conditions is obtained.
Further, the calculation formula for obtaining the first direct current internal resistance of the lithium ion battery under the three changing conditions under different numerical combinations is as follows:
in the method, in the process of the invention,indicating the change condition as battery state of charge +.>Measuring current->And measuring time->Internal resistance of direct current->Are model parameters.
Further, optimizing parameters of the target calculation model based on the first direct current internal resistance of the lithium ion battery and the second direct current internal resistance of the lithium ion battery to obtain optimal parameters, including:
and calculating the root mean square error between the first direct-current internal resistance of the lithium ion battery and the second direct-current internal resistance of the lithium ion battery, optimizing by taking the minimum root mean square error between the first direct-current internal resistance of the lithium ion battery and the second direct-current internal resistance of the lithium ion battery as a target and taking the parameter of the target calculation model as an optimizing object to obtain the optimal parameter of the target calculation model.
Further, obtaining the direct current internal resistance under other target control change conditions in a high throughput manner based on the optimal parameters of the target calculation model comprises the following steps:
bringing the optimal parameters into a target calculation model to obtain an optimized target calculation model;
inputting the numerical combination of any change condition in the preset experimental condition, and obtaining the direct current internal resistance of the lithium ion battery in the full experimental condition range at high flux.
The technical scheme of the embodiment of the invention has at least the following advantages and beneficial effects:
according to the method for obtaining the direct current internal resistance of the lithium ion battery with high flux, the first direct current internal resistance of the lithium ion battery under different numerical combinations under different changing conditions is calculated, and the second direct current internal resistance of the lithium ion battery under different numerical combinations under the target changing conditions is obtained; optimizing parameters of the target calculation model based on the first direct current internal resistance of the lithium ion battery and the second direct current internal resistance of the lithium ion battery to obtain optimal parameters of the target calculation model, and obtaining other values or direct current internal resistances under other target control change conditions in a high flux manner; according to the method, the direct current internal resistance data under the condition of small quantity of change can be obtained through high flux, and other direct current internal resistance data under the condition of vertical or target control change which is not tested are obtained, so that the experiment and time cost are saved; on the other hand, the calculation model accords with an internal physical mechanism of the lithium ion battery, and the high-flux acquisition of the direct-current internal resistance of the lithium ion battery with high precision and simple and easy operation is realized.
Drawings
Fig. 1 is a schematic flow chart of a method for obtaining direct current internal resistance and high flux of a lithium ion battery according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
It will be appreciated that "system," "apparatus," "unit" and/or "module" as used herein is one method for distinguishing between different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.
As used in this specification and the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.
At present, a method for obtaining direct current internal resistance high flux of a lithium ion battery in the prior art is generally based on empirical estimation, lacks theoretical basis and has low accuracy; secondly, the estimation accuracy can be improved to a certain extent by adopting data algorithms such as electrochemical model simulation or machine learning; however, both methods rely on a large amount of measured data to perform model verification or algorithm learning, and the measurement cost is remarkably increased. The invention is based on the internal physical mechanism of the lithium ion battery, and realizes the DC internal resistance test data under a small amount of conditions, thereby obtaining the DC internal resistance under other conditions with high flux. For this reason, referring to fig. 1, the invention provides a method for obtaining the direct current internal resistance and the high flux of a lithium ion battery, which comprises the following steps:
step S100: determining at least one target change condition from preset experimental conditions, and taking the remaining conditions as control variables;
the step S100 specifically includes:
step S110: based on three preset experimental conditions of battery charge state, measurement current and measurement time, the method comprises the following steps ofSelecting at least one as a target change condition, and taking the remaining conditions as control variables; specifically, the target change condition may be any one of a battery charge state, a measurement current, a measurement time, or a combination thereof, the target change condition is a factor that is desired to be changed in measuring the internal resistance of direct current, and the control variable is a factor that is kept unchanged; before three preset experimental conditions of battery charge state, measurement current and measurement time are selected, the condition range of the direct current internal resistance of the target lithium ion battery is required to be predetermined, and in the embodiment, the direct current internal resistance under different temperature conditions is not considered for obtaining in order to improve the measurement accuracy; taking the example of selecting three preset experimental conditions of battery charge state, measured current and measured time as target change conditions, the range of the preset experimental conditions at the target temperature can be determined, wherein the range comprises: battery state of charge rangeMeasuring current rangeMeasurement time Range->；
Step S200: selecting a target calculation model based on the number of target change conditions, and calculating the first direct current internal resistance of the lithium ion battery under different numerical combinations of different change conditions; specifically, according to the number of target changing conditions, a combination of values of various experimental conditions can be set by presetting a range of experimental conditions, wherein all conditions in the combination of experimental conditions need to have numerical changes and cover the edge of the range of condition number values as far as possible, and the following 15 combinations of conditions can be set by taking three changing conditions of battery charge state, measurement current and measurement time as an example:、/>、、/>、/>、/>、/>、、/>、/>、/>、/>、、/>、/>the method comprises the steps of carrying out a first treatment on the surface of the Wherein,、/>、the method comprises the steps of carrying out a first treatment on the surface of the The number of the experimental condition combinations can be determined according to actual conditions, and the more the number of the combinations is, the more accurate the calculation result of the subsequent model is;
the step S200 specifically includes:
step S210: selecting two conditions from a battery charge state, a measurement current and a measurement time as control variables, and acquiring a first direct current internal resistance of the lithium ion battery under different numerical value combinations of the remaining one change condition; for example, we can also set a variety of different condition combinations by selecting the battery state of charge and the measured current as control variables, with the measured time as the target change condition;
the calculation formula for obtaining the first direct current internal resistance of the lithium ion battery under the condition of the remaining one change under different numerical combinations is as follows:
in the method, in the process of the invention,indicating the change condition as battery state of charge +.>The lower DC internal resistance; />Indicating the change condition as measuring current +.>The lower DC internal resistance; />Indicating the change condition as measurement time +.>The lower DC internal resistance; />Are model parameters.
Step S220: selecting one condition from the battery charge state, the measured current and the measured time as a control variable, and acquiring the first direct current internal resistance of the lithium ion battery under different numerical value combinations of the two remaining changing conditions; for example, if a battery state of charge is selected as a control variable, different measurement current and measurement time values may be set, and different numerical combination conditions generated;
the calculation formula for obtaining the first direct current internal resistance of the lithium ion battery under the condition of the remaining two change conditions under different numerical combinations is as follows:
in the method, in the process of the invention,indicating the change condition as battery state of charge +.>And measuring the current +.>The lower DC internal resistance;
in the method, in the process of the invention,indicating the change condition as battery state of charge +.>And measuring time->The lower DC internal resistance;
in the method, in the process of the invention,indicating the change condition as measuring current +.>And measuring time->The lower DC internal resistance; />Are model parameters;
step S230: the method comprises the steps of taking three conditions in a battery charge state, a measurement current and a measurement time as change conditions, and obtaining first direct current internal resistance of the lithium ion battery under different numerical value combinations of the three change conditions; namely, carrying out the change of different numerical combinations on three conditions;
the calculation formula for obtaining the first direct current internal resistance of the lithium ion battery under three changing conditions under different numerical combinations is as follows:
in the method, in the process of the invention,indicating the change condition as battery state of charge +.>Measuring current->And measuring time->Internal resistance of direct current->Are model parameters.
Step S300: performing experiments based on the target change conditions and the control variables to obtain second direct current internal resistance of the lithium ion battery under different numerical combinations of the target change conditions; specifically, taking the battery charge state, the measured current and the measured time as examples of the target change condition, in step S300, the second direct current internal resistance of the lithium ion battery under the 15 different numerical value condition combinations is measured in an experimental manner, and the experimental data can be obtained by measuring the current step experiment;
step S400: optimizing parameters of the target calculation model based on the first direct-current internal resistance of the lithium ion battery and the second direct-current internal resistance of the lithium ion battery to obtain optimal parameters of the target calculation model; the purpose is to make the optimized parameters more in line with the actual experimental data;
step S410: calculating root mean square error between the first direct-current internal resistance of the lithium ion battery and the second direct-current internal resistance of the lithium ion battery, optimizing by taking the minimum root mean square error between the first direct-current internal resistance of the lithium ion battery and the second direct-current internal resistance of the lithium ion battery as a target and taking the parameter of a target calculation model as an optimizing object to obtain the optimal parameter of the target calculation model;
specifically, the acquisition of the optimal parameters of the target calculation model can be performed by adopting a genetic algorithm, which specifically includes:
step S411: generating an initial population:
presetting population number, iteration number, variation probability and crossover probability, and generating an initial chromosome population (one possible solution) in a binary coding mode, wherein the population number is 100, the iteration number is 5000, the variation probability is 0.05 and the crossover probability is 0.7;
step S411: genetic and mutation:
calculating the fitness of each individual in the population (namely, the fitting degree of a calculation model and actual data) according to the target calculation model parameters, screening individuals with high fitness according to preset probability by adopting a roulette mode, and then generating new individuals in the selected individuals with high fitness in sequence according to mutation probability by using a single-point cross mode and a single-point mutation mode to generate a new population;
step S411: and (3) loop iteration:
judging whether the maximum iteration times are reached, if the maximum iteration times are not reached, carrying out iteration calculation and genetic variation on individual fitness in a new population; if the maximum iteration times are reached, outputting the gene codes of the individuals with the current maximum fitness, and obtaining the optimal parameter combination of the target calculation model after decoding; through genetic algorithm optimization, the parameter combination of the calculation model which is most suitable for actual data can be found, so that the fitting precision of the calculation model and the precision of calculating the direct current internal resistance are improved; it should be noted that, the present embodiment provides a method for optimizing coefficients by using a genetic algorithm, and optimization algorithms such as a cuckoo algorithm, a particle swarm algorithm, or other machine learning algorithms may be used to implement optimization of coefficients.
Step S500: and obtaining the direct current internal resistance under other target control change conditions in a high flux manner based on the optimal parameters of the target calculation model.
The step S500 specifically includes:
step S510: bringing the optimal parameters into a target calculation model to obtain an optimized target calculation model; specifically, the optimal parameters can be respectively brought into the three different target calculation models to obtain an optimized target calculation model, so that the direct-current internal resistance of the lithium ion battery can be predicted more accurately;
step S520: inputting any combination value of variation conditions in preset experimental conditions, and obtaining the direct current internal resistance of the lithium ion battery in the range of the full experimental conditions at high flux; specifically, after obtaining the optimal coefficient of the target calculation model, for example, the optimal coefficient of the calculation model under the condition of full variation is obtained, the battery charge state range can be passedMeasuring current range->Measurement time Range->The condition value of any combination of conditions in the system is rapidCalculating the direct current internal resistance of the lithium ion battery, and realizing high flux acquisition of the direct current internal resistance in a full condition range; if the direct current internal resistance under other target change conditions is required to be obtained, the direct current internal resistance in the whole experimental range under different change conditions can be obtained at high flux only by setting corresponding control variables.
In summary, the method for obtaining the direct current internal resistance of the lithium ion battery with high flux achieves that other values which are not tested or direct current internal resistance data under the target control change condition which is not tested are obtained with high flux through direct current internal resistance data under a small amount of change conditions, the direct current internal resistance of the lithium ion battery in the whole experimental condition range is obtained with high flux, the direct current internal resistance under any change condition combination value can be calculated rapidly, and the experimental and time cost is saved; on the other hand, the calculation model accords with an internal physical mechanism of the lithium ion battery, and the high-flux acquisition of the direct-current internal resistance of the lithium ion battery with high precision and simple and easy operation is realized; compared with the prior art, the method for obtaining the direct current internal resistance of the lithium ion battery with high flux is generally based on empirical estimation, so that the problems of lack of theoretical basis and low accuracy are solved; compared with the prior art adopting data algorithms such as electrochemical model simulation or machine learning, the method does not need to rely on a large amount of measured data to carry out model verification or algorithm learning, and provides important support for lithium ion battery performance evaluation and optimization design.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.
Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.

Claims (10)

1.锂离子电池直流内阻高通量获取方法，其特征在于，包括如下步骤：1. A high-throughput acquisition method for DC internal resistance of lithium-ion batteries, which is characterized by including the following steps: 从预设实验条件中确定至少一个目标变化条件，将剩余条件作为控制变量；Determine at least one target change condition from the preset experimental conditions, and use the remaining conditions as control variables; 基于目标变化条件的数量选择目标计算模型，计算不同变化条件在不同数值组合下的锂离子电池第一直流内阻；Select the target calculation model based on the number of target changing conditions to calculate the first DC internal resistance of the lithium-ion battery under different numerical combinations of different changing conditions; 基于目标变化条件和控制变量进行实验，获取目标变化条件在不同数值组合下的锂离子电池第二直流内阻；Conduct experiments based on target change conditions and control variables to obtain the second DC internal resistance of the lithium-ion battery under different numerical combinations of target change conditions; 基于锂离子电池第一直流内阻和锂离子电池第二直流内阻对目标计算模型的参数进行寻优，得到目标计算模型的最优参数；Based on the first DC internal resistance of the lithium-ion battery and the second DC internal resistance of the lithium-ion battery, the parameters of the target calculation model are optimized to obtain the optimal parameters of the target calculation model; 基于目标计算模型的最优参数高通量获取其他数值或其他目标控制变化条件下的直流内阻。Based on the optimal parameters of the target calculation model, the DC internal resistance under other values or other target control changing conditions is obtained through high-throughput. 2.根据权利要求1所述的锂离子电池直流内阻高通量获取方法，其特征在于，从预设实验条件中确定至少一个目标变化条件，将剩余条件作为控制变量，包括：2. The high-throughput acquisition method of lithium-ion battery DC internal resistance according to claim 1, characterized in that at least one target change condition is determined from the preset experimental conditions, and the remaining conditions are used as control variables, including: 基于电池电荷状态、测量电流、测量时间三种预设实验条件，从三种预设实验条件中选取至少一个为目标变化条件，将剩余条件作为控制变量。Based on three preset experimental conditions: battery charge state, measurement current, and measurement time, at least one of the three preset experimental conditions is selected as the target change condition, and the remaining conditions are used as control variables. 3.根据权利要求2所述的锂离子电池直流内阻高通量获取方法，其特征在于，基于目标变化条件的数量选择目标计算模型，计算不同变化条件在不同数值组合下的锂离子电池第一直流内阻，包括：3. The high-throughput acquisition method of lithium-ion battery DC internal resistance according to claim 2, characterized in that the target calculation model is selected based on the number of target changing conditions, and the lithium-ion battery's number of different changing conditions under different numerical combinations is calculated. DC internal resistance, including: 从电池电荷状态、测量电流、测量时间中选择两个条件作为控制变量，获取剩余一个变化条件在不同数值组合下的锂离子电池第一直流内阻。Select two conditions from the battery charge state, measurement current, and measurement time as control variables to obtain the first DC internal resistance of the lithium-ion battery under different numerical combinations of the remaining changing conditions. 4.根据权利要求3所述的锂离子电池直流内阻高通量获取方法，其特征在于，获取剩余一个变化条件在不同数值组合下的锂离子电池第一直流内阻的计算公式为：4. The high-throughput acquisition method of lithium-ion battery DC internal resistance according to claim 3, characterized in that the calculation formula for obtaining the first DC internal resistance of the lithium-ion battery under different numerical combinations of the remaining changing conditions is: 式中，表示变化条件为电池电荷状态/>下的直流内阻；/>表示变化条件为测量电流/>下的直流内阻；/>表示变化条件为测量时间/>下的直流内阻；/>均为模型参数。In the formula, Indicates that the changing condition is the battery charge state/> DC internal resistance under;/> Indicates that the changing condition is the measured current/> DC internal resistance under;/> Indicates that the change condition is the measurement time/> DC internal resistance under;/> are all model parameters. 5.根据权利要求2所述的锂离子电池直流内阻高通量获取方法，其特征在于，基于目标变化条件的数量选择目标计算模型，计算不同变化条件在不同数值组合下的锂离子电池第一直流内阻，还包括：5. The high-throughput acquisition method of lithium-ion battery DC internal resistance according to claim 2, characterized in that the target calculation model is selected based on the number of target changing conditions, and the lithium-ion battery's number of different changing conditions under different numerical combinations is calculated. DC internal resistance also includes: 从电池电荷状态、测量电流、测量时间中选择一个条件作为控制变量，获取剩余两个变化条件在不同数值组合下的锂离子电池第一直流内阻。Select one condition from the battery charge state, measurement current, and measurement time as the control variable to obtain the first DC internal resistance of the lithium-ion battery under different numerical combinations of the remaining two changing conditions. 6.根据权利要求5所述的锂离子电池直流内阻高通量获取方法，其特征在于，获取剩余两个变化条件在不同数值组合下的锂离子电池第一直流内阻的计算公式为：6. The high-throughput acquisition method of lithium-ion battery DC internal resistance according to claim 5, characterized in that the calculation formula for obtaining the first DC internal resistance of the lithium-ion battery under different numerical combinations of the remaining two changing conditions is: : 式中，表示变化条件为电池电荷状态/>和测量电流/>下的直流内阻；In the formula, Indicates that the changing condition is the battery charge state/> and measuring current/> DC internal resistance below; 式中，表示变化条件为电池电荷状态/>和测量时间/>下的直流内阻；In the formula, Indicates that the changing condition is the battery charge state/> and measurement time/> DC internal resistance below; 式中，表示变化条件为测量电流/>和测量时间/>下的直流内阻；/>均为模型参数。In the formula, Indicates that the changing condition is the measured current/> and measurement time/> DC internal resistance under;/> are all model parameters. 7.根据权利要求2所述的锂离子电池直流内阻高通量获取方法，其特征在于，基于目标变化条件的数量选择目标计算模型，计算不同变化条件在不同数值组合下的锂离子电池第一直流内阻，还包括：7. The high-throughput acquisition method of lithium-ion battery DC internal resistance according to claim 2, characterized in that the target calculation model is selected based on the number of target changing conditions, and the lithium-ion battery's number of different changing conditions under different numerical combinations is calculated. DC internal resistance also includes: 电池电荷状态、测量电流、测量时间中三个条件均作为变化条件，获取三个变化条件在不同数值组合下的锂离子电池第一直流内阻。The three conditions of battery charge state, measurement current, and measurement time are all used as changing conditions, and the first DC internal resistance of the lithium-ion battery under different numerical combinations of the three changing conditions is obtained. 8.根据权利要求7所述的锂离子电池直流内阻高通量获取方法，其特征在于，获取三个变化条件在不同数值组合下的锂离子电池第一直流内阻的计算公式为：8. The high-throughput acquisition method of lithium-ion battery DC internal resistance according to claim 7, characterized in that the calculation formula for obtaining the first DC internal resistance of the lithium-ion battery under different numerical combinations of three changing conditions is: 式中，表示变化条件为电池电荷状态/>、测量电流/>和测量时间/>下的直流内阻，/>均为模型参数。In the formula, Indicates that the changing condition is the battery charge state/> , measure current/> and measurement time/> DC internal resistance under,/> are all model parameters. 9.根据权利要求1至8任一项所述的锂离子电池直流内阻高通量获取方法，其特征在于，基于锂离子电池第一直流内阻和锂离子电池第二直流内阻对目标计算模型的参数进行寻优，得到最优参数，包括：9. The high-throughput acquisition method of lithium-ion battery DC internal resistance according to any one of claims 1 to 8, characterized in that, based on the first DC internal resistance of the lithium-ion battery and the second DC internal resistance of the lithium-ion battery, The parameters of the target calculation model are optimized to obtain the optimal parameters, including: 计算锂离子电池第一直流内阻和锂离子电池第二直流内阻之间的均方根误差，以锂离子电池第一直流内阻和锂离子电池第二直流内阻之间的最小均方根误差为目标，以目标计算模型的参数为寻优对象进行寻优，得到目标计算模型的最优参数。Calculate the root mean square error between the first DC internal resistance of the lithium ion battery and the second DC internal resistance of the lithium ion battery, and use the minimum value between the first DC internal resistance of the lithium ion battery and the second DC internal resistance of the lithium ion battery. The root mean square error is taken as the target, and the parameters of the target calculation model are used as the optimization object for optimization to obtain the optimal parameters of the target calculation model. 10.根据权利要求9所述的锂离子电池直流内阻高通量获取方法，其特征在于，基于目标计算模型的最优参数高通量获取其他目标控制变化条件下的直流内阻，包括：10. The high-throughput acquisition method of lithium-ion battery DC internal resistance according to claim 9, characterized in that the high-throughput acquisition of DC internal resistance under other target control changing conditions based on the optimal parameters of the target calculation model includes: 将最优参数带入目标计算模型，得到优化后的目标计算模型；Bring the optimal parameters into the target calculation model to obtain the optimized target calculation model; 输入预设实验条件内的任意变化条件的数值组合，高通量获取全实验条件范围内的锂离子电池直流内阻。Enter the numerical combination of any changing conditions within the preset experimental conditions, and obtain the DC internal resistance of the lithium-ion battery within the full range of experimental conditions with high throughput.
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