Battery parameter acquisition method, device and equipment and readable storage medium

Abstract

The invention provides a battery parameter acquisition method, device and equipment and a readable storage medium. The method comprises the following steps: acquiring a battery physical parameter group of a battery solid element; obtaining a battery material characteristic parameter group of a battery solid element and a battery electrolyte; respectively calculating a battery positive electrode design parameter group and a battery negative electrode design parameter group according to the battery physical parameter group and the battery material characteristic parameter group; and generating a battery parameter set based on the battery physical parameter set, the battery material characteristic parameter set, the battery positive electrode design parameter set and the battery negative electrode design parameter set. According to the method, the characteristic parameters of the solid element and the electrolyte of the battery are obtained, the battery physical parameter group of the solid element of the battery is obtained, and the positive and negative electrode design parameters of the battery are calculated according to the obtained battery physical parameter group and the battery material characteristic parameter group, so that comprehensive battery parameters can be obtained; and a reliable basis is provided for performance evaluation and optimization design of the battery.

Description

Technical Field

[0001] This application relates to the technical field of battery detection, and particularly to a method, device, equipment, and readable storage medium for obtaining battery parameters. Background Art

[0002] Lithium batteries are currently widely used energy storage technologies, which have advantages such as high energy density, long life, and low self-discharge rate. However, due to the need to comprehensively consider factors such as performance, cost, and safety in their design and use, the process of cell design is a complex systematic project. To better meet the requirements of lithium batteries, the R & D cycle of lithium batteries needs to be shortened, and the R & D quality also needs to be improved. In the process of lithium battery R & D, the performance evaluation of lithium batteries is an essential link, and detecting and analyzing battery parameters is an important way to evaluate the performance of lithium batteries and optimize the design of lithium batteries. However, in the related art, the methods for obtaining battery parameters, such as using battery test equipment for standardized testing, can detect limited parameters. For example, only macroscopic performance parameters can be detected, internal material information cannot be analyzed, and specific test conditions are required, which may be different from the actual application environment, resulting in deviation of test results and being unfavorable for the performance evaluation and design of lithium batteries. Summary of the Invention

[0003] The main purpose of this application is to provide a method for obtaining battery parameters, which can at least solve the problems of limited and low-accuracy battery parameters obtained in the related art.

[0004] To achieve the above purpose, the first aspect of this application provides a method for obtaining battery parameters, including: obtaining a set of battery physical parameters of a battery solid element; wherein, the battery solid element includes a positive electrode material, a negative electrode material, a current collector, a separator, and a tab; obtaining a set of battery material characteristic parameters of the battery solid element and a battery electrolyte; calculating a set of battery positive electrode design parameters and a set of battery negative electrode design parameters according to the set of battery physical parameters and the set of battery material characteristic parameters; generating a battery parameter set based on the set of battery physical parameters, the set of battery material characteristic parameters, the set of battery positive electrode design parameters, and the set of battery negative electrode design parameters.

[0005] The second aspect of the present application provides a battery parameter acquisition device, including: a first acquisition module, configured to acquire a set of battery physical parameters of a battery solid element; wherein, the battery solid element includes a positive electrode material, a negative electrode material, a current collector, a separator, and a tab; a second acquisition module, configured to acquire a set of battery material characteristic parameters of the battery solid element and a battery electrolyte; a calculation module, configured to calculate a set of battery positive electrode design parameters and a set of battery negative electrode design parameters according to the set of battery physical parameters and the set of battery material characteristic parameters respectively; and a generation module, configured to generate a battery parameter set based on the set of battery physical parameters, the set of battery material characteristic parameters, the set of battery positive electrode design parameters, and the set of battery negative electrode design parameters.

[0006] The third aspect of the present application provides an electronic device, including: a memory and a processor, wherein the processor is configured to execute a computer program stored on the memory, and when the processor executes the computer program, each step in the battery parameter acquisition method provided in the first aspect of the present application is implemented.

[0007] The fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, each step in the battery parameter acquisition method provided in the first aspect of the present application is implemented.

[0008] As can be seen from the above, according to the battery parameter acquisition method, device, equipment, and readable storage medium provided by the solution of the present application, a set of battery physical parameters of a battery solid element is acquired; wherein, the battery solid element includes a positive electrode material, a negative electrode material, a current collector, a separator, and a tab; a set of battery material characteristic parameters of the battery solid element and a battery electrolyte is acquired; a set of battery positive electrode design parameters and a set of battery negative electrode design parameters are calculated according to the set of battery physical parameters and the set of battery material characteristic parameters respectively; and a battery parameter set is generated based on the set of battery physical parameters, the set of battery material characteristic parameters, the set of battery positive electrode design parameters, and the set of battery negative electrode design parameters. By acquiring the characteristic parameters of the solid element and electrolyte of the battery, and acquiring a set of battery physical parameters of the battery solid element, and then calculating the positive and negative electrode design parameters of the battery according to the acquired set of battery physical parameters and the set of battery material characteristic parameters, comprehensive battery parameters can be obtained, providing a reliable basis for the optimized design of the battery. Description of the Drawings

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention, and those skilled in the art can obtain other drawings without creative efforts based on these drawings.

[0010] Figure 1It is a schematic diagram of the basic process of a battery parameter acquisition method according to an embodiment of the present application;

[0011] Figure 2 It is a schematic structural diagram of a battery parameter acquisition device according to an embodiment of the present application;

[0012] Figure 3 It is a schematic structural diagram of an electronic device according to an embodiment of the present application. Detailed implementation manners

[0013] To make the invention objectives, features, and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application.

[0014] In the related art, due to the problems of limited and low-accuracy battery parameters obtained, an embodiment of the present application provides a battery parameter acquisition method.

[0015] As Figure 1 shown is a schematic flowchart of a battery parameter acquisition method provided by an embodiment of the present application. The battery parameter acquisition method includes the following steps:

[0016] Step 101: Obtain a battery physical parameter group of the battery solid element.

[0017] In this embodiment, in order to obtain more comprehensive battery parameters and make the obtained battery parameters more suitable for the actual use scenario, a reverse evaluation method for battery parameters by disassembling the battery is selected. The solid element of the battery is obtained by disassembling the battery. The battery solid element includes a positive electrode material, a negative electrode material, a current collector, a separator, and a tab, and then the physical parameter information of the solid element is obtained. Before disassembling the battery, basic parameter information of the battery can also be obtained, such as positive electrode capacity, negative electrode capacity, positive electrode first efficiency (i.e., the first cycle efficiency), negative electrode first efficiency, charging voltage, applicable voltage, etc., and the battery voltage, internal resistance, overall weight, and dimensions (i.e., length, width, and thickness) of the battery are measured.

[0018] Among them, the disassembly process of the battery is to discharge the battery. The battery voltage can be discharged to nearly 0V through a low-current discharge method. Disassemble the battery casing in a glove box to ensure that the internal components are not damaged. For soft-pack batteries encapsulated with, for example, aluminum plastic film, scissors or a blade can be used to cut the aluminum plastic film casing along the sealing line. When cutting, it is necessary to avoid damaging internal electrodes, diaphragms and other components; for hard-shell batteries encapsulated with, for example, aluminum shells or steel shells, metal cutting tools can be used to cut open the battery casing. At this time, it is necessary to avoid shell fragments falling into the battery interior. Then, a liquid extractor such as a straw or a syringe can be used to extract the electrolyte first. For batteries where it is difficult to extract the electrolyte, the battery can be completely immersed in an extractant such as DMC (dimethyl carbonate). After standing for, for example, 24 hours, the mixed liquid containing DMC and the electrolyte is extracted, and then the solid components are separated to obtain the positive electrode material, negative electrode material, current collector, diaphragm, tab and the remaining solid components.

[0019] In some embodiments of this embodiment, obtaining the battery physical parameter group of the battery solid components includes: obtaining multiple object characteristic parameters of each battery solid component; sorting out the multiple object characteristic parameters to obtain multiple target object characteristic parameters; generating the battery physical parameter group of the battery solid components according to all the target object characteristic parameters of each battery solid component; among them, the battery object parameters include: the length, width and thickness of the positive electrode material, negative electrode material and diaphragm, the length and width of the tab, and the thickness, area and mass of the positive electrode plate and negative electrode plate.

[0020] In this embodiment, in order to improve the accuracy and reliability of detection, the solid components can also be cleaned and dried to remove impurities adhering to the surface of the components and eliminate the influence of contaminants on the test. The cleaning liquid for cleaning the solid components can be DMC, acetone, alcohol, etc. The solid components are immersed in the cleaning liquid for pre-cleaning and then taken out and immersed for example 2 - 3 times, and then put into a vacuum drying oven and dried at a temperature of 50 degrees. After that, physical property measurements such as length, width, and thickness can be performed on the processed solid components, and the length, width, and thickness of the positive / negative electrodes, the length, width, and thickness of the separator, and the length and thickness of the tab can be obtained. Multiple object property measurements can be performed on each solid component, so that multiple sets of data can be obtained for each type of object property parameter. For example, there are multiple sets of length measurement data for the positive electrode material. By calculating the mean value of these data and taking the mean value as the target parameter of this type, the accuracy of the measurement data can be improved. And before calculating the mean value of each set of data, values with large errors can also be removed, such as removing data outside the preset threshold range, and then calculating the mean value based on the data within the threshold range. Calculate the target object property parameters of multiple types corresponding to each solid component respectively, and then generate a battery object parameter set for the solid components based on all the target object property parameters of all the solid components. In addition, the weight of the bare battery cell after washing off the electrolyte, the weight and thickness of the aluminum-plastic film, the number of winding cores, the thickness of the positive electrode sheet (with aluminum foil), the thickness of the negative electrode sheet (with copper foil), the thickness of the copper foil, and the thickness of the aluminum foil can also be obtained, so as to obtain the basic parameter information of the battery as shown in Table 1.

[0021] Table 1

[0022]

[0023] Step 102: Obtain the battery material characteristic parameter set of the battery solid components and the battery electrolyte.

[0024] In this embodiment, the battery solid components and the battery electrolyte can be analyzed for their materials to obtain battery material characteristic information such as their component ratios and element ratios, so as to perform basic analysis on various base materials in the battery, provide multi-dimensional data for battery parameters, and facilitate in-depth understanding of battery performance.

[0025] In some embodiments of the present embodiment, the battery material characteristic parameter group for obtaining the battery solid element and the battery electrolyte includes: obtaining the first material analysis result of the positive electrode material to obtain the first battery material characteristic parameter group; wherein, the first material analysis result includes XRD, EDS, SEM, ICP, TGA and CP analysis results; obtaining the second material analysis result of the negative electrode material to obtain the second battery material characteristic parameter group; wherein, the second material analysis result includes XRD, EDS, SEM, TGA and CP analysis results; obtaining the third material analysis result of the current collector to obtain the third battery material characteristic parameter group; wherein, the third material analysis result includes EDS, SEM and CP analysis results; obtaining the fourth material analysis result of the separator to obtain the fourth battery material characteristic parameter group; wherein, the fourth material analysis result includes EDS, SEM, TGA and CP analysis results; obtaining the fifth material analysis result of the electrolyte to obtain the fifth battery material characteristic parameter group; wherein, the fifth material analysis result includes GC-MS, IC and ICP analysis results.

[0026] In this embodiment, different solid components are subjected to different tests. By performing different tests on different solid components, various battery material characteristic parameters of various materials can be obtained. These various battery material characteristic parameters can corroborate each other to improve the accuracy of battery material characteristics. For the positive electrode material, it is mainly subjected to XRD (X-ray diffraction), EDS (energy-dispersive X-ray spectroscopy), SEM (scanning electron microscopy), ICP (inductively coupled plasma), TGA (thermogravimetric analysis), and CP+SEM (CP cross-section polishing technique) tests. These tests can analyze various aspects of the positive electrode material, such as its structure, morphology, and thermal properties. Among them, the XRD test can analyze the grain structure; the SEM test can analyze the grain size and grain structure, and can also preliminarily observe the materials of the conductive agent, binder, and dispersant; the EDS test can preliminarily analyze the element ratio, surface residual side reaction products, etc.; the CP test can analyze the thickness of the material; the ICP test can analyze the element atomic ratio to confirm the battery system; the TGA test can analyze the component ratio. For example, the component ratio of the positive electrode sheet shown in Table 2. After deducting the surface residue and the mass of the aluminum foil, the formula and ratio of the positive electrode material can be obtained, as shown in Table 3. For the negative electrode material, it is mainly subjected to XRD, EDS, SEM, TGA, and CP tests; similarly, the SEM test can analyze the grain size and structure, and the EDS test can preliminarily analyze the element ratio, surface residual side reaction products, etc.; the CP test can analyze the thickness of the material; the TGA test can analyze the component ratio. For example, the component ratio of the negative electrode sheet shown in Table 4. After deducting the surface residue and the mass of the copper foil, the formula of the negative electrode material can be obtained, as shown in Table 5. For the current collector, it is mainly subjected to EDS, SEM, and CP tests. Through the SEM+EDS test, the surface coating condition can be analyzed, and the CP test can obtain the thickness of the copper foil and aluminum foil. For the separator, it is mainly subjected to EDS, SEM, TGA, and CP tests. Similarly, through the SEM+EDS test, the surface coating condition and the separator pore size can be analyzed, and by observation, the manufacturing process adopted, such as the dry or wet process, can be determined. At the same time, the thermal properties (such as the melting point) of the material are tested by FTIR to further verify the above process judgment. For the electrolyte, it is mainly subjected to GC-MS (gas chromatography-mass spectrometry), IC (ion chromatography), and ICP tests. Among them, through the GC-MS test, the organic solvents, additives, degradation products, and impurities in the electrolyte can be analyzed. The ICP test can obtain the metal ion concentration in the electrolyte, and the IC test can obtain the anion concentration in the electrolyte. In addition, when it is difficult to extract the electrolyte, by adding DMC to make the electrolyte infiltrate therein, the proportion of DMC can also be obtained according to the GC-MS result. After deducting the influence of the DMC substrate, the composition and proportion of the electrolyte can be obtained.

[0027] Table 2

[0028] Positive electrode sheet composition Proportion Surface adsorption and residue composition 1.43％ PVDF (Polyvinylidene fluoride) 2.36％ CNTs (Carbon nanotubes) 0.71％ SP (Super P, Super carbon black) 1.26％ Aluminum foil 18.55％ NCM (Lithium nickel cobalt manganese oxide) 75.69％

[0029] Table 3

[0030] Positive electrode material formula Proportion PVDF (Polyvinylidene fluoride) 2.95％ CNTs (Carbon nanotubes) 0.89％ SP (Super P, Super carbon black) 1.57％ NCM (Lithium nickel cobalt manganese oxide) 94.59％

[0031] Table 4

[0032]

[0033]

[0034] Table 5

[0035] Negative electrode material formula Proportion CMC (Sodium carboxymethyl cellulose) 2.52％ SBR (Styrene-butadiene rubber) 1.89％ SP (Super P, Super carbon black) 1.26％ Graphite main material 94.33％

[0036] Step 103: Calculate the battery positive electrode design parameter group and the battery negative electrode design parameter group according to the battery physical parameter group and the battery material characteristic parameter group respectively.

[0037] In this embodiment, by obtaining the battery physical parameter group and the battery material characteristic parameter group, the battery positive and negative electrode design parameters can be further calculated, effectively improving the parameter acquisition efficiency and the comprehensiveness of the battery parameters.

[0038] In some embodiments of this embodiment, calculating the battery positive electrode design parameter group and the battery negative electrode design parameter group according to the battery physical parameter group and the battery material characteristic parameter group respectively includes: obtaining the first target battery material characteristic parameter group and the second target battery material characteristic parameter group respectively; wherein, both the first target battery material characteristic parameter group and the second target battery material characteristic parameter group include the proportion of the electrode sheet components; calculating the battery positive electrode design parameter group according to the battery physical parameter group and the first target battery material characteristic parameter group; wherein, the battery positive electrode design parameter group includes the mass of aluminum foil per unit area, the mass of the positive electrode sheet per unit area, the mass of the positive electrode per unit area, the coating weight of the positive electrode per unit area, the mass of the positive electrode active material per unit area, the electric quantity released by the active substance per unit mass of the positive electrode, and the electric quantity released by the active substance per unit area of the positive electrode; calculating the battery negative electrode design parameter group according to the battery physical parameter group and the second target battery material characteristic parameter group; wherein, the negative electrode battery parameters include the mass of copper foil per unit area, the mass of the negative electrode sheet per unit area, the mass of the negative electrode per unit area, the coating weight of the negative electrode per unit area, the mass of the negative electrode active material per unit area, the electric quantity released by the active substance per unit mass of the negative electrode, and the electric quantity released by the active substance per unit area of the negative electrode.

[0039] In this embodiment, the battery positive / negative electrode design parameters may be the mass of aluminum / copper foil per unit area, the mass of positive / negative electrode sheets per unit area, the mass of positive / negative electrodes per unit area, the coating weight of positive / negative electrodes per unit area, the mass of positive / negative electrode active materials per unit area, the amount of electricity released by the active substances per unit mass of the positive / negative electrodes, and the amount of electricity released by the active substances per unit area of the positive / negative electrodes. For the positive electrode parameters, aluminum foil is usually used as the current collector of the positive electrode for conducting electricity and supporting the coating of the active material; the mass of the aluminum foil will affect the overall weight and electrical conductivity of the electrode; the mass of the positive electrode sheet refers to the total mass of the positive electrode sheet per unit area, usually including the mass of the aluminum foil and the mass of the active material coated on it, and the electrode sheet mass is an important parameter for calculating the energy density of the battery; the mass of the positive electrode per unit area refers to the mass of only the positive electrode part (including the electrode sheet and the active material), excluding the aluminum foil; the coating weight refers to the mass of the active material coated on one side, that is, the positive electrode material coated on the aluminum foil (usually only considering one side), and this parameter reflects the thickness and performance of the positive electrode material; the mass of the active material refers to the mass of the active material coated on the aluminum foil (usually only considering one side), and only the active material participates in the electrochemical reaction, so this parameter directly affects the performance and energy density of the battery; calculating the amount of electricity released by the active substances per unit mass can evaluate the energy density of the material, and calculating the amount of electricity released by the active substances per unit area can help optimize the electrode thickness and the amount of material coating to improve the energy and power output. The negative electrode design parameters are similar to the positive electrode design parameters and will not be elaborated here. In this embodiment, the battery positive / negative electrode design parameters can be calculated according to the proportion of the positive electrode sheet components obtained from the TGA analysis combined with the obtained battery physical parameter group to improve the efficiency of obtaining battery parameters.

[0040] In some embodiments of this embodiment, calculating the battery positive electrode design parameter group according to the battery physical parameter group and the first target battery material characteristic parameter group includes: calculating the mass of the positive electrode sheet per unit area according to the battery physical parameter group; calculating the mass of the aluminum foil per unit area according to the proportion of the aluminum foil and the mass of the positive electrode sheet per unit area in the first target battery material characteristic parameter group; calculating the mass of the positive electrode per unit area according to the mass of the positive electrode sheet per unit area and the mass of the aluminum foil per unit area; calculating the coating weight of the positive electrode per unit area according to the sum of the proportions of the remaining components except the surface residue proportion in the first target battery material characteristic parameter group, the sum of the proportions of the remaining components except the aluminum foil proportion, and the mass of the positive electrode per unit area; calculating the mass of the positive electrode active material per unit area according to the proportion of the active material and the mass of the positive electrode sheet per unit area in the first target battery material characteristic parameter group; calculating the amount of electricity released by the active substances per unit mass of the positive electrode according to the battery physical parameter group and the mass of the positive electrode active material per unit area; calculating the amount of electricity released by the active substances per unit area of the positive electrode according to the battery physical parameter group.

[0041] In this embodiment, the calculation methods of the battery positive electrode design parameter group and the battery negative electrode design parameter group are similar. Taking the battery positive electrode design parameter group as an example, the calculation of each parameter will be illustrated. For the mass of the positive electrode sheet per unit area, it can be calculated according to the value recorded in No. 19 in Table 1, that is, the mass of the positive electrode sheet per unit area is 35.0 / 2.0 = 17.50 (mg / cm 2 ); for the mass of the aluminum foil per unit area, it can be calculated according to the proportion of the aluminum foil in the TGA test data (see Table 2) and the mass of the positive electrode sheet per unit area, that is, the mass of the aluminum foil per unit area is 18.55% * 17.50 = 3.25 (mg / cm 2 ); for the mass of the positive electrode per unit area, it can be calculated according to the mass of the positive electrode sheet per unit area and the mass of the aluminum foil per unit area, that is, the mass of the positive electrode per unit area is 17.50 - 3.25 = 14.25 (mg / cm 2 ); for the coating weight of the positive electrode per unit area (single-sided), it can be calculated according to the proportion of the components of the positive electrode sheet except for the surface adsorption and residues, the proportion of the components except for the aluminum foil (see Table 2), and the mass of the positive electrode per unit area, that is, the coating weight of the positive electrode per unit area (single-sided) is 14.25 / 2 * (1 - 1.43% / (1 - 18.55%)) = 7.00 (mg / cm 2 ); for the mass of the positive electrode active material per unit area (single-sided), it can be calculated according to the proportion of the active material (such as NCM) in the TGA test data and the mass of the positive electrode sheet per unit area, that is, the mass of the positive electrode active material per unit area (single-sided) is 17.50 / 2 * 75.69% = 6.62 (mg / cm 2 ); for the amount of electricity released by the active substance per unit mass of the positive electrode, it can be calculated according to the positive electrode capacity, the positive electrode length, the width (see Table 1), and the mass of the positive electrode active material per unit area, that is, the amount of electricity released by the active substance per unit mass of the positive electrode is 20.40 * 1000 / ((417.2 * 13.2) * 6.623 / 1000) = 559.33 (mAh / g), where the positive electrode capacity is 20.4 Ah; for the amount of electricity released by the active substance per unit area of the positive electrode, it can be calculated according to the positive electrode capacity, the positive electrode length, and the width (see Table 1), that is, the amount of electricity released by the active substance per unit area of the positive electrode is 20.40 * 1000 / (417.2 * 13.2) = 3.70 (mAh / cm 2 ), where the positive electrode capacity is 20.4 Ah. Thus, the battery positive electrode design parameter group as shown in Table 6 can be obtained. The calculation method of the battery negative electrode design parameter group is similar to that of the battery positive electrode design parameter group, which will not be elaborated here. Taking the negative electrode capacity of 23.3 Ah as an example, the battery negative electrode design parameter group as shown in Table 7 can be obtained.

[0042] Table 6

[0043]

[0044]

[0045] Table 7

[0046]

[0047] Step 104: Generate a battery parameter set based on the battery physical parameter group, the battery material characteristic parameter group, the battery positive electrode design parameter group, and the battery negative electrode design parameter group.

[0048] In this embodiment, by performing material analysis on the battery solid element and the battery electrolyte, the battery material characteristic parameter group can be obtained. Then, based on the battery material characteristic parameter group and the physical parameters of the battery solid element, the battery positive and negative electrode design parameters are calculated, thus forming a battery parameter set containing various types, providing a reliable basis for battery performance evaluation and battery optimized design.

[0049] In some embodiments of this embodiment, generating a battery parameter set based on the battery physical parameter group, the battery material characteristic parameter group, the battery positive electrode design parameter group, and the battery negative electrode design parameter group includes: determining the target parameters of the same type in the battery material characteristic parameter group and the battery physical parameter group; calculating the difference between the target parameters corresponding to the battery material characteristic parameter group and the target parameters corresponding to the battery physical parameter group; adjusting the target parameters according to the difference to obtain a target battery physical parameter group and a third target battery material characteristic parameter group; generating a battery parameter set based on the target battery physical parameter group, the third target battery material characteristic parameter group, the battery positive electrode design parameter group, and the battery negative electrode design parameter group.

[0050] In this embodiment, there are parameters of the same type in the battery material characteristic parameter group and the battery physical parameter group. For example, the thickness of the material. The two parameter sets can be compared with each other to optimize the parameter measurement results and avoid problems with low accuracy such as contradictions in the obtained battery parameters. Therefore, when sorting out parameter sets of various types, for parameters of the same type, comparison and analysis can be performed first. For example, evaluate the difference between two parameters of the same type to adjust the parameter and optimize the obtained parameter set, and finally generate an accurate and comprehensive battery parameter set based on the optimized parameter set.

[0051] In some embodiments of this embodiment, adjusting the target parameters according to the difference includes: if the difference is greater than the preset threshold, determining the target parameter corresponding to the battery material characteristic parameter group as the final target parameter; if the difference is less than or equal to the preset threshold, determining the average value of the target parameter corresponding to the battery material characteristic parameter group and the target parameter corresponding to the battery physical parameter group as the final target parameter; updating the battery material characteristic parameter group and the battery physical parameter group according to the final target parameter to obtain a target battery physical parameter group and a third target battery material characteristic parameter group.

[0052] In this embodiment, for the parameters included in both the battery material characteristic parameter set and the battery physical parameter set, the difference between the two can be calculated and compared with a preset threshold to determine the magnitude of the difference between the two parameter values. If the difference is large, i.e., the difference is greater than the preset threshold, the parameter value corresponding to the battery material characteristic parameter set is used as the final value to update the two parameter sets; otherwise, if the difference between the two parameter values is small, i.e., the difference is less than the preset threshold, the average value of the two can be taken as the final value to update the two parameter sets. Finally, the obtained various parameters are de-duplicated and integrated to obtain the battery parameter set of the battery. Since various different testing techniques are used for the material analysis of the battery solid element and the battery electrolyte, and some testing techniques can be used as mutual evidence, relatively accurate test data can be obtained. Therefore, the obtained battery material characteristic parameter set can be used as a reference value. Thus, in this embodiment, by comparing and analyzing the obtained parameters, the accuracy of parameter acquisition is further improved.

[0053] The battery parameter acquisition method, device, equipment, and readable storage medium provided by the embodiment of the present application obtain the battery physical parameter set of the battery solid element; wherein, the battery solid element includes a positive electrode material, a negative electrode material, a current collector, a separator, and a tab; obtain the battery material characteristic parameter set of the battery solid element and the battery electrolyte; calculate the battery positive electrode design parameter set and the battery negative electrode design parameter set according to the battery physical parameter set and the battery material characteristic parameter set; generate a battery parameter set based on the battery physical parameter set, the battery material characteristic parameter set, the battery positive electrode design parameter set, and the battery negative electrode design parameter set. By performing material analysis on the solid element and the electrolyte of the battery to obtain the battery physical parameter set of the battery solid element, and then calculating the battery positive and negative electrode design parameters according to the obtained battery physical parameter set and battery material characteristic parameter set, comprehensive battery parameters can be obtained. By performing multiple measurements, multi-faceted corroborative parameter information can be provided, which is beneficial to improving the accuracy of the obtained battery parameters and provides a reliable basis for the optimized design of the battery.

[0054] Figure 2 A battery parameter acquisition device provided by an embodiment of the present application can be applied to the foregoing battery parameter acquisition method. As Figure 2 shown, the battery parameter acquisition device mainly includes:

[0055] A first acquisition module 201 for acquiring the battery physical parameter set of the battery solid element; wherein, the battery solid element includes a positive electrode material, a negative electrode material, a current collector, a separator, and a tab;

[0056] A second acquisition module 202 for acquiring the battery material characteristic parameter set of the battery solid element and the battery electrolyte;

[0057] A calculation module 203, configured to calculate a battery positive electrode design parameter set and a battery negative electrode design parameter set according to the battery physical parameter set and the battery material characteristic parameter set respectively.

[0058] A generation module 204, configured to generate a battery parameter set based on the battery physical parameter set, the battery material characteristic parameter set, the battery positive electrode design parameter set, and the battery negative electrode design parameter set.

[0059] In some embodiments of this embodiment, the first acquisition module is specifically configured to: acquire a plurality of object characteristic parameters of each battery solid element; sort the plurality of object characteristic parameters to obtain a plurality of target object characteristic parameters; generate a battery physical parameter set of the battery solid element according to all the target object characteristic parameters of each battery solid element; wherein, the battery object parameters include: the positive electrode material, the negative electrode material, and the length, width and thickness of the separator, the length and width of the tab, the thickness, area and mass of the positive electrode sheet and the negative electrode sheet.

[0060] In some embodiments of this embodiment, the second acquisition module is specifically configured to: acquire a first material analysis result of the positive electrode material to obtain a first battery material characteristic parameter set; wherein, the first material analysis result includes XRD, EDS, SEM, ICP, TGA and CP analysis results; acquire a second material analysis result of the negative electrode material to obtain a second battery material characteristic parameter set; wherein, the second material analysis result includes XRD, EDS, SEM, TGA and CP analysis results; acquire a third material analysis result of the current collector to obtain a third battery material characteristic parameter set; wherein, the third material analysis result includes EDS, SEM and CP analysis results; acquire a fourth material analysis result of the separator to obtain a fourth battery material characteristic parameter set; wherein, the fourth material analysis result includes EDS, SEM, TGA and CP analysis results; acquire a fifth material analysis result of the electrolyte to obtain a fifth battery material characteristic parameter set; wherein, the fifth material analysis result includes GC-MS, IC and ICP analysis results.

[0061] In some embodiments of the present embodiment, the calculation module is specifically configured to: respectively obtain a first target battery material characteristic parameter group and a second target battery material characteristic parameter group; wherein, both the first target battery material characteristic parameter group and the second target battery material characteristic parameter group include the proportion of electrode sheet components; calculate a battery positive electrode design parameter group according to the battery physical parameter group and the first target battery material characteristic parameter group; wherein, the battery positive electrode design parameter group includes the mass of aluminum foil per unit area, the mass of the positive electrode sheet per unit area, the mass of the positive electrode per unit area, the coating weight of the positive electrode per unit area, the mass of the positive electrode active material per unit area, the amount of electricity released by the active material per unit mass of the positive electrode, and the amount of electricity released by the active material per unit area of the positive electrode; calculate a battery negative electrode design parameter group according to the battery physical parameter group and the second target battery material characteristic parameter group; wherein, the negative electrode battery parameters include the mass of copper foil per unit area, the mass of the negative electrode sheet per unit area, the mass of the negative electrode per unit area, the coating weight of the negative electrode per unit area, the mass of the negative electrode active material per unit area, the amount of electricity released by the active material per unit mass of the negative electrode, and the amount of electricity released by the active material per unit area of the negative electrode.

[0062] Further, in some embodiments of the present embodiment, the calculation module is specifically configured to: calculate the mass of the positive electrode sheet per unit area according to the battery physical parameter group; calculate the mass of aluminum foil per unit area according to the proportion of aluminum foil in the first target battery material characteristic parameter group and the mass of the positive electrode sheet per unit area; calculate the mass of the positive electrode per unit area according to the mass of the positive electrode sheet per unit area and the mass of aluminum foil per unit area; calculate the coating weight of the positive electrode per unit area according to the sum of the proportions of the remaining components except the surface residue proportion in the first target battery material characteristic parameter group, the sum of the proportions of the remaining components except the aluminum foil proportion, and the mass of the positive electrode per unit area; calculate the mass of the positive electrode active material per unit area according to the proportion of the active material in the first target battery material characteristic parameter group and the mass of the positive electrode sheet per unit area; calculate the amount of electricity released by the active material per unit mass of the positive electrode according to the battery physical parameter group and the mass of the positive electrode active material per unit area; calculate the amount of electricity released by the active material per unit area of the positive electrode according to the battery physical parameter group.

[0063] In some embodiments of the present embodiment, the generation module is specifically configured to: determine the target parameters of the same type in the battery material characteristic parameter group and the battery physical parameter group; calculate the difference between the target parameters corresponding to the battery material characteristic parameter group and the target parameters corresponding to the battery physical parameter group; adjust the target parameters according to the difference to obtain a target battery physical parameter group and a third target battery material characteristic parameter group; generate a battery parameter set according to the target battery physical parameter group, the third target battery material characteristic parameter group, the battery positive electrode design parameter group, and the battery negative electrode design parameter group.

[0064] Further, in some embodiments of this embodiment, the generation module is specifically configured to: if the difference is greater than a preset threshold, determine the target parameter corresponding to the battery material characteristic parameter group as the final target parameter; if the difference is less than or equal to the preset threshold, determine the average value of the target parameter corresponding to the battery material characteristic parameter group and the target parameter corresponding to the battery physical parameter group as the final target parameter; update the battery material characteristic parameter group and the battery physical parameter group according to the final target parameter to obtain a target battery physical parameter group and a third target battery material characteristic parameter group.

[0065] Figure 3 An electronic device provided in an embodiment of the present application can be used to implement the battery parameter acquisition method in the foregoing embodiment, and mainly includes:

[0066] A memory 301, a processor 302, and a computer program 303 stored on the memory 301 and executable on the processor 302. The memory 301 and the processor 302 are communicatively connected. When the processor 302 executes the computer program 303, the method in the foregoing embodiment is implemented. Wherein, the number of processors can be one or more.

[0067] The memory 301 can be a high-speed random access memory (RAM, Random Access Memory) or a non-volatile memory, such as a disk memory. The memory 301 is used to store executable program codes, and the processor 302 is coupled to the memory 301.

[0068] Further, an embodiment of the present application also provides a computer-readable storage medium, which can be disposed in the above-mentioned electronic device, and the computer-readable storage medium can be the memory in the foregoing Figure 3 shown embodiment.

[0069] A computer program is stored on the computer-readable storage medium, and when the program is executed by the processor, the battery parameter acquisition method in the foregoing embodiment is implemented. Further, the computer-readable storage medium can also be various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a RAM, a magnetic disk, or an optical disc that can store program codes.

[0070] In several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules is only a logical function division. In actual implementation, there can be other division methods. For example, multiple modules 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 devices or modules can be in electrical, mechanical or other forms.

[0071] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical modules, that is, they can be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0072] In addition, in each embodiment of this application, the functional modules can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0073] If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of this application. And the aforementioned readable storage medium includes: USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical discs and other various media that can store program codes.

[0074] In the above embodiments, the descriptions of each embodiment have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0075] The above is the description of the battery parameter acquisition method, device, equipment and readable storage medium provided in this application. For those skilled in the art, according to the idea of the embodiments of this application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A battery parameter acquisition method, characterized in that: include: Obtaining a battery physical parameter group of a battery solid component; wherein the battery solid component includes a positive electrode material, a negative electrode material, a current collector, a separator and a tab; Obtaining a battery material characteristic parameter group of the battery solid element and the battery electrolyte; Calculate a battery positive electrode design parameter group and a battery negative electrode design parameter group respectively according to the battery physical parameter group and the battery material characteristic parameter group; A battery parameter set is generated based on the battery physical parameter group, the battery material characteristic parameter group, the battery positive electrode design parameter group and the battery negative electrode design parameter group.

2. The battery parameter acquisition method according to claim 1, characterized in that: The step of obtaining a battery physical parameter group of a battery solid element comprises: Acquire multiple object characteristic parameters of each battery solid component; Arranging the plurality of characteristic parameters of the objects to obtain a plurality of characteristic parameters of the target objects; According to all the target object characteristic parameters of each of the battery solid elements, a battery physical parameter group of the battery solid element is generated; wherein the battery object parameter group includes: the length, width and thickness of the positive electrode material, the negative electrode material and the diaphragm, the length and width of the tab, the thickness, area and mass of the positive electrode sheet and the negative electrode sheet.

3. The battery parameter acquisition method according to claim 1, characterized in that: The step of obtaining a battery material characteristic parameter group of the battery solid component and the battery electrolyte comprises: Obtaining a first material analysis result of the positive electrode material to obtain a first battery material characteristic parameter group; wherein the first material analysis result includes XRD, EDS, SEM, ICP, TGA and CP analysis results; Obtaining a second material analysis result of the negative electrode material to obtain a second battery material characteristic parameter group; wherein the second material analysis result includes XRD, EDS, SEM, TGA and CP analysis results; Obtaining a third material analysis result of the current collector to obtain a third battery material characteristic parameter group; wherein the third material analysis result includes EDS, SEM and CP analysis results; Obtaining a fourth material analysis result of the diaphragm to obtain a fourth battery material characteristic parameter group; wherein the fourth material analysis result includes EDS, SEM, TGA and CP analysis results; A fifth material analysis result of the electrolyte is obtained to obtain a fifth battery material characteristic parameter group; wherein the fifth material analysis result includes GC-MS, IC and ICP analysis results.

4. The battery parameter acquisition method according to claim 1, characterized in that: The calculating of a battery positive electrode design parameter group and a battery negative electrode design parameter group respectively according to the battery physical parameter group and the battery material characteristic parameter group comprises: Respectively obtaining a first target battery material characteristic parameter group and a second target battery material characteristic parameter group; wherein the first target battery material characteristic parameter group and the second target battery material characteristic parameter group both include a proportion of electrode components; Calculating a battery positive electrode design parameter group according to the battery physical parameter group and the first target battery material characteristic parameter group; wherein the battery positive electrode design parameter group includes a unit area aluminum foil mass, a unit area positive electrode sheet mass, a unit area positive electrode mass, a unit area positive electrode coating weight, a unit area positive electrode active material mass, a unit mass of active material of the positive electrode, and a unit area of ​​active material of the positive electrode. The battery negative electrode design parameter group is calculated according to the battery physical parameter group and the second target battery material characteristic parameter group; wherein the negative electrode battery parameters include the mass of copper foil per unit area, the mass of negative electrode sheet per unit area, the mass of negative electrode per unit area, the weight of negative electrode coating per unit area, the mass of negative electrode active material per unit area, the amount of electricity released by the active material per unit mass of the negative electrode, and the amount of electricity released by the active material per unit area of ​​the negative electrode.

5. The battery parameter acquisition method according to claim 4, characterized in that: Calculating a battery positive electrode design parameter group according to the battery physical parameter group and the first target battery material characteristic parameter group includes: Calculating the mass of the positive electrode sheet per unit area according to the battery physical parameter group; Calculate the mass of aluminum foil per unit area according to the proportion of aluminum foil in the first target battery material characteristic parameter group and the mass of the positive electrode sheet per unit area; Calculate the positive electrode mass per unit area according to the positive electrode sheet mass per unit area and the aluminum foil mass per unit area; Calculate the positive electrode coating weight per unit area according to the sum of the proportions of the remaining components except the proportion of the surface residue in the first target battery material characteristic parameter group, the sum of the proportions of the remaining components except the proportion of the aluminum foil, and the positive electrode mass per unit area; Calculate the mass of the positive electrode active material per unit area according to the proportion of active materials in the first target battery material characteristic parameter group and the mass of the positive electrode sheet per unit area; Calculate the amount of electricity released by the active material per unit mass of the positive electrode according to the battery physical parameter group and the mass of the positive electrode active material per unit area; The amount of electricity released by the active material per unit area of ​​the positive electrode is calculated according to the battery physical parameter group.

6. The battery parameter acquisition method according to claim 1, characterized in that: The generating of the battery parameter set based on the battery physical parameter group, the battery material characteristic parameter group, the battery positive electrode design parameter group and the battery negative electrode design parameter group comprises: Determining target parameters of the same type in the battery material characteristic parameter group and the battery physical parameter group; Calculating a difference between a target parameter corresponding to the battery material characteristic parameter group and a target parameter corresponding to the battery physical parameter group; Adjust the target parameters according to the difference to obtain a target battery physical parameter group and a third target battery material characteristic parameter group; A battery parameter set is generated according to the target battery physical parameter group, the third target battery material characteristic parameter group, the battery positive electrode design parameter group and the battery negative electrode design parameter group.

7. The battery parameter acquisition method according to claim 6, characterized in that: The adjusting the target parameter according to the difference comprises: If the difference is greater than a preset threshold, the target parameter corresponding to the battery material characteristic parameter group is determined as the final target parameter; If the difference is less than or equal to a preset threshold, the average of the target parameter corresponding to the battery material characteristic parameter group and the target parameter corresponding to the battery physical parameter group is determined as the final target parameter; The battery material characteristic parameter group and the battery physical parameter group are updated according to the final target parameter to obtain a target battery physical parameter group and a third target battery material characteristic parameter group.

8. A battery parameter acquisition device, characterized in that: include: A first acquisition module is used to acquire a battery physical parameter group of a battery solid component; wherein the battery solid component includes a positive electrode material, a negative electrode material, a current collector, a separator and a tab; A second acquisition module is used to obtain a battery material characteristic parameter group of the battery solid component and the battery electrolyte; A calculation module, used to calculate a battery positive electrode design parameter group and a battery negative electrode design parameter group respectively according to the battery physical parameter group and the battery material characteristic parameter group; A generation module is used to generate a battery parameter set based on the battery physical parameter group, the battery material characteristic parameter group, the battery positive electrode design parameter group and the battery negative electrode design parameter group.

9. An electronic device, characterized in that: The device comprises a memory and a processor, wherein: The processor is used to execute the computer program stored in the memory; When the processor executes the computer program, the steps in the battery parameter acquisition method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the battery parameter acquisition method according to any one of claims 1 to 7 are implemented.

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