Pole piece testing method, electronic equipment and computer readable storage medium

Abstract

The invention provides a pole piece testing method, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring pole piece data of the battery and liquid phase conductivity of electrolyte; and performing alternating-current impedance test on the battery to obtain an alternating-current impedance spectrum of the battery. And fitting the alternating current impedance spectrum to obtain the ion impedance of the battery. And determining performance data of the pole piece according to the ion impedance, the pole piece data and the electrolyte liquid phase conductivity. And performing simulation test and experimental test on the pole piece according to the performance data to obtain simulation data and real data, comparing the simulation data with the real data, and when the difference value between the simulation data and the real data is within the error range, determining that the simulation precision meets the simulation standard. Whether the pole piece meets the design standard of the battery or not can be quickly judged, the design efficiency of the pole piece is improved, and the design robustness is enhanced.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a pole piece testing method, an electronic device and a computer-readable storage medium. Background Art

[0002] With the development of science and technology, batteries are widely used in electric vehicles, mobile devices, energy storage equipment and other fields. The pole piece in the battery can affect the efficiency and service life of the battery, and is one of the important elements to measure the quality of the battery. However, in related technologies, the morphology of the pole piece section direction is often characterized by a scanning electron microscope (SEM), and image recognition software and heterogeneous simulation are used for fitting, so as to directly infer the relationship between the various parameters of the pole piece through the model. The testing process is complicated, and it is difficult to quickly determine whether the pole piece meets the design standards of the battery, and it is difficult to quickly determine the charging effect of the battery after using the pole piece; at the same time, it takes a lot of time and resources to analyze different types of pole pieces, and the operation is difficult. Summary of the invention

[0003] To address the deficiencies in the prior art, the present application provides a pole piece testing method, an electronic device and a computer-readable storage medium, which can quickly determine whether the pole piece meets the design standards, improve the design efficiency of the pole piece and enhance the robustness of the design.

[0004] The technical solution of this application is as follows: The first aspect of the present application provides a pole piece testing method, the method comprising: obtaining pole piece data and electrolyte liquid phase conductivity of a battery. Performing an AC impedance test on the battery to obtain an AC impedance spectrum of the battery. Fitting the AC impedance spectrum to obtain the ionic impedance of the battery. Determining the performance data of the pole piece based on the ionic impedance, pole piece data and electrolyte liquid phase conductivity. Performing simulation tests and experimental tests on the pole piece based on the performance data to obtain simulation data and real data, comparing the simulation data with the real data, and determining that the simulation accuracy meets the simulation standard when the difference between the simulation data and the real data is within the error range.

[0005] In one embodiment, fitting the AC impedance spectrum to obtain the ionic impedance of the battery includes: obtaining a preset equivalent circuit model and obtaining the ionic impedance according to the preset equivalent circuit model and the AC impedance spectrum.

[0006] In one embodiment, the electrode data includes the geometric area of ​​the electrode and the thickness of the electrode, and the performance data includes the McMullin number of the electrode. The performance data of the electrode is determined based on the ionic impedance, the electrode data and the liquid phase conductivity of the electrolyte, including: determining the McMullin number of the electrode based on the ionic impedance, the geometric area of ​​the electrode, the thickness of the electrode and the liquid phase conductivity of the electrolyte.

[0007] In one embodiment, the electrode data includes the porosity of the electrode, and the performance data includes the tortuosity, Brugmann coefficient, liquid phase conductivity / diffusion coefficient correction coefficient and effective liquid phase conductivity of the electrode. According to the ionic impedance, the electrode data and the liquid phase conductivity of the electrolyte, the performance data of the electrode is determined, and it also includes: calculating the liquid phase conductivity / diffusion coefficient correction coefficient according to the McMullin number. Calculating the effective liquid phase conductivity according to the liquid phase conductivity of the electrolyte and the liquid phase conductivity / diffusion coefficient correction coefficient. Calculating the tortuosity and Brugmann coefficient according to the McMullin number and porosity.

[0008] In one embodiment, the performance data also includes the effective liquid phase diffusion coefficient of the electrode piece. According to the ionic impedance, the electrode piece data and the liquid phase conductivity of the electrolyte, the performance data of the electrode piece is determined, and the following further includes: obtaining the liquid phase diffusion coefficient of the electrolyte of the battery. The effective liquid phase diffusion coefficient is calculated according to the liquid phase diffusion coefficient of the electrolyte and the liquid phase conductivity / diffusion coefficient correction coefficient.

[0009] In one embodiment, simulation testing and experimental testing are performed on the pole piece according to the performance data to obtain simulation data and real data, including: establishing a corresponding battery model according to the performance data. Performing a charging simulation test according to the battery model to obtain simulation data. Performing a charging experimental test on the battery to obtain real data.

[0010] In one embodiment, the battery includes a symmetrical battery or a symmetrical cell.

[0011] In one embodiment, before performing an AC impedance test on the battery to obtain the AC impedance spectrum of the battery, the method further includes: when the static time of the battery reaches a preset time and the ambient temperature of the battery reaches a preset temperature, executing the step of performing an AC impedance test on the battery.

[0012] The second aspect of the present application provides an electronic device, comprising: at least one processor. And a memory connected to the at least one processor in communication. The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the pole piece testing method described in any one of the above embodiments.

[0013] A third aspect of the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the electrode testing method described in any one of the above embodiments.

[0014] The technical solution of this application has at least the following technical effects or advantages: The present application provides a pole piece testing method, which obtains the pole piece data of the battery and the liquid phase conductivity of the electrolyte, performs an AC impedance test on the battery, obtains the AC impedance spectrum of the battery, and fits the AC impedance spectrum to obtain the ionic impedance, determines the performance data of the pole piece according to the ionic impedance, pole piece data and the liquid phase conductivity of the electrolyte, performs simulation tests and experimental tests on the pole piece according to the performance data, obtains the simulation data and the real data and compares them to determine whether the simulation accuracy of the pole piece meets the simulation standard. In this way, the pole piece testing method provided by the present application has a simple testing process and high testing accuracy on the one hand; on the other hand, the pole piece testing method provided by the present application can reduce the testing cost of the pole piece, improve the testing efficiency of the pole piece, and enhance the robustness of the battery design. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the steps of a pole piece testing method provided in one embodiment of the present application.

[0016] Figure 2 It is a schematic diagram of the assembly structure of a battery provided in one embodiment of the present application.

[0017] Figure 3 It is a partial schematic diagram of an equivalent circuit provided in one embodiment of the present application.

[0018] Figure 4 It is a schematic diagram of the AC impedance spectrum fitting results provided in one embodiment of the present application.

[0019] Figure 5 It is a schematic diagram of analyzing performance data provided by an embodiment of the present application.

[0020] Figure 6 It is a schematic diagram of a simulation verification result provided in an embodiment of the present application.

[0021] Figure 7 This is another schematic diagram of simulation verification results provided by an embodiment of the present application.

[0022] Figure 8 This is a schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0024] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0025] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0026] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0027] With the development of science and technology, batteries are widely used in electric vehicles, mobile devices, energy storage equipment and other fields. The pole piece in the battery can affect the efficiency and service life of the battery, and is one of the important elements to measure the quality of the battery. However, in related technologies, the morphology of the pole piece section direction is often characterized by a scanning electron microscope (SEM), and image recognition software and heterogeneous simulation are used for fitting, so as to directly infer the relationship between the various parameters of the pole piece through the model. The testing process is complicated, and it is difficult to quickly determine whether the pole piece meets the design standards of the battery, and it is difficult to quickly determine the charging effect of the battery after using the pole piece; at the same time, it takes a lot of time and resources to analyze different types of pole pieces, and the operation is difficult.

[0028] Based on this, the present application provides a pole piece testing method, electronic device and computer-readable storage medium, which can quickly determine whether the pole piece meets the design standards, improve the design efficiency of the pole piece and enhance the robustness of the design.

[0029] Next, the electrode testing method, electronic device and computer-readable storage medium provided in the embodiments of the present application are further introduced. The electrode testing method provided in the present application can test the electrode in the battery, and the battery is illustrated as a symmetrical battery in the following embodiment. It can be understood that the symmetrical battery can be a button-type symmetrical battery made of two positive or negative electrode sheets, a diaphragm, and an electrolyte, or it can be a single-layer soft-pack symmetrical battery cell or other batteries with similar structures.

[0030] See also Figure 1 , shows a schematic diagram of the steps of the electrode testing method provided in the embodiment of the present application. It can be understood that the electrode testing method provided in the present application can be executed by a processor of a testing device or a simulation device. Figure 1 As shown, the method comprises the following steps: Step S1, obtaining battery electrode data and electrolyte liquid phase conductivity.

[0031] The pole piece data includes but is not limited to the pole piece's dimension data, material data or other physical property data, chemical property data, etc.

[0032] The liquid phase conductivity of the electrolyte is the amount of charge contained per unit length or volume in the electrolyte solution, and reflects the ability of the electrolyte to conduct current. The liquid phase conductivity of the electrolyte can be measured by a conductivity meter or other methods, and this application does not limit the specific method for obtaining the liquid phase conductivity of the electrolyte.

[0033] Step S2: Perform an AC impedance test on the battery to obtain an AC impedance spectrum of the battery.

[0034] Among them, the electrochemical impedance spectroscopy (EIS) test applies a small-amplitude sinusoidal potential or current disturbance signal to the electrochemical system, causing the electrochemical system to generate a corresponding current or potential response, thereby obtaining an electrochemical impedance spectrum. The spectrum reflects the relationship between the impedance of the electrochemical system and the frequency.

[0035] In one embodiment of the present application, the AC impedance test can use a voltage amplitude method. For example, a disturbance signal with a frequency range of 0.05Hz to 100kHz and a voltage amplitude of 5mV can be applied to the battery, and the voltage and current of the battery at different frequencies can be recorded, and then a phase-locked amplifier or a spectrum analyzer can be used to convert the recorded voltage / current signal into impedance and phase angle, thereby obtaining the AC impedance spectrum corresponding to the battery. In other embodiments, other types of disturbance signals can also be applied to the AC impedance test, and the present application does not limit the specific implementation method of the AC impedance test.

[0036] Step S3: Fit the AC impedance spectrum to obtain the ionic impedance of the battery.

[0037] In one embodiment of the present application, the electrode piece can be a fresh electrode piece, or a electrode piece that has been regulated by charge and discharge, such as a positive electrode or a negative electrode piece that has been regulated to a specified state of charge. When the battery is a half-cell or a full cell that can form a complete path, the battery impedance includes ohmic impedance, membrane impedance, charge transfer impedance, and ionic impedance. When the battery is a symmetrical battery with blocked paths, if the electrode piece is a fresh electrode piece, the battery impedance includes ohmic impedance, ionic impedance, and the ionic impedance at the diaphragm has only DC characteristics; if the electrode piece is a electrode piece that has been regulated by charge and discharge, the battery impedance includes ohmic impedance, membrane impedance, and ionic impedance, and the ionic impedance at the diaphragm has only DC characteristics. Among them, a fresh electrode refers to an electrode that has not been charged or discharged. Thus, in step S3, several preset equivalent circuit models can be built according to the battery characteristics. When it is necessary to fit the AC impedance spectrum, any preset equivalent circuit model can be selected according to the actual situation. The AC impedance spectrum is fitted based on the preset equivalent circuit model to obtain impedance data, such as ionic impedance, ohmic impedance or membrane impedance. The present application does not limit the specific impedance data obtained by the preset equivalent circuit model.

[0038] In one embodiment of the present application, Figure 3 As shown, the preset equivalent circuit model includes an ohmic impedance Rs and a first impedance Wo connected in series. The first impedance Wo can be a Warburg impedance, which is a diffusion impedance in an electrochemical reaction. The calculated Warburg impedance is an ionic impedance. It can be understood that obtaining a preset equivalent circuit model in the present application is to obtain a function for characterizing the equivalent circuit model. Then, the ionic impedance is obtained by fitting the preset equivalent circuit model and the AC impedance spectrum. In one embodiment, the fitting result is as follows: Figure 4 As shown. The horizontal axis in the curve graph represents the real part of the battery impedance, and the vertical axis represents the imaginary part of the battery impedance. According to the curves in the curve graph, the impedance, inductive reactance and capacitive reactance of the battery can be obtained, for example, Figure 4 The data shown in the data table in , where Wo-R represents impedance (i.e., ionic impedance), Wo-T represents capacitive reactance, and Wo-P represents inductive reactance. In this way, the ionic impedance is obtained by fitting the equivalent circuit model, which can effectively reduce the error of the ionic impedance value and improve the efficiency of obtaining the ionic impedance value.

[0039] Step S4, determining the performance data of the electrode according to the ionic impedance, the electrode data and the liquid phase conductivity of the electrolyte.

[0040] Among them, the performance data include but are not limited to the McMullin number, tortuosity, Brugmann coefficient, liquid phase conductivity / diffusion coefficient correction coefficient, effective liquid phase conductivity and effective liquid phase diffusion coefficient of the electrode, etc., which are used to measure the performance of the electrode.

[0041] like Figure 5As shown, in one embodiment, step S4 includes the following steps: S41. Determine the McMullin number of the electrode based on the ionic impedance, the geometric area of ​​the electrode, the thickness of the electrode and the liquid phase conductivity of the electrolyte.

[0042] The pole piece data includes the geometric area and thickness of the pole piece, and the performance data includes the MacMulin number of the pole piece. m It can effectively characterize the migration rate of ions in the electrode, thereby reflecting the performance of the battery. In step S41, the McMullin number N of the electrode can be calculated by formula (1): m Perform the calculation: (1); Among them, R ion represents ionic impedance, A represents the geometric area of ​​the electrode, σ represents the liquid phase conductivity of the electrolyte, and d represents the thickness of the electrode.

[0043] S42. Calculate the liquid phase conductivity / diffusion coefficient correction factor based on the McMullin number.

[0044] For example, the liquid phase conductivity / diffusion coefficient correction factor f can be calculated by formula (2): I Perform the calculation: f I =1 / N m (2); The liquid phase conductivity / diffusion coefficient correction coefficient is the reciprocal of the McMullin number. The liquid phase conductivity / diffusion coefficient correction coefficient is used to correct the electrolyte liquid phase conductivity and / or electrolyte liquid phase diffusion coefficient of the electrode. The electrolyte liquid phase diffusion coefficient represents the diffusion coefficient of ions in the electrolyte in the liquid.

[0045] S43. Calculate the effective liquid phase conductivity according to the liquid phase conductivity of the electrolyte and the liquid phase conductivity / diffusion coefficient correction factor.

[0046] The effective liquid conductivity σ is calculated by formula (3): eff Perform the calculation: σ eff =σ×f I (3); Effective liquid conductivity σ eff is the correction factor f between the electrolyte liquid phase conductivity σ and the liquid phase conductivity / diffusion coefficient I The liquid phase conductivity of the electrolyte is corrected by the liquid phase conductivity / diffusion coefficient correction factor to reduce the deviation of the liquid phase conductivity of the electrolyte, such as the deviation caused by operating errors or environmental humidity, and can improve the accuracy of the electrode test.

[0047] S44. Calculate the tortuosity and Brugmann coefficient based on the McMullin number and porosity.

[0048] The pole piece data includes the porosity of the pole piece. The tortuosity τ and Bruggman coefficient Brugg are calculated by formula (4): (4); Where ε represents the porosity of the pole piece. The porosity of the pole piece is the volume fraction of the voids in the motor coating, including micron-scale and nano-scale pores. The electrolyte conducts in the pores. The larger the porosity, the more complete the electrolyte infiltration. The porosity can be tested by methods such as mercury injection or gas injection, or the porosity ε can be estimated by formula (5): (5); Among them, ρ v represents the compacted density, ρ o Indicates the true density of the electrode coating. The true density is the actual mass of the solid material per unit volume of the electrode coating in an absolutely sealed state, that is, the density after removing the pores. It can be measured in advance by a true density meter. This application does not limit the specific method for obtaining the true density of the electrode coating. Thus, this application does not limit the specific method for obtaining the porosity.

[0049] The tortuosity of the pole piece refers to the degree of deformation of the pole piece immersed in the electrolyte during the charge and discharge process. The Bruggeman coefficient is the proportion of the medium that can support the identifiable free space electromagnetic field under the uniformly distributed density of charged particles in the electromagnetic parameter space of the medium. Further calculation of the tortuosity and Bruggeman coefficient of the pole piece by the McMullin number can effectively reduce the error caused by porosity, improve the analysis accuracy of the model, and increase the speed of data calculation, so as to accurately judge the performance of the battery pole piece.

[0050] S45. Calculate the effective liquid phase diffusion coefficient according to the electrolyte liquid phase diffusion coefficient and the liquid phase conductivity / diffusion coefficient correction coefficient.

[0051] Obtain the electrolyte liquid phase diffusion coefficient of the battery, and use formula (6) to calculate the effective liquid phase diffusion coefficient D eff Perform the calculation: D eff =D×f I (6); Where D represents the electrolyte liquid phase diffusion coefficient. The effective liquid phase diffusion coefficient is the product of the electrolyte liquid phase diffusion coefficient and the liquid phase conductivity / diffusion coefficient correction coefficient. By correcting the electrolyte liquid phase diffusion coefficient by the liquid phase conductivity / diffusion coefficient correction coefficient, the deviation of the electrolyte liquid phase diffusion coefficient, such as the deviation caused by factors such as ion concentration or battery structure, can be effectively improved to improve the prediction ability of battery performance and improve accuracy.

[0052] It is understandable that in other embodiments, in addition to calculating the corresponding performance data based on the above formulas (1)-(6), a table lookup operation can also be performed in step S4 to determine the performance data of the electrode based on the ionic impedance, the electrode data and the liquid phase conductivity of the electrolyte.

[0053] Step S5, perform simulation test and experimental test on the pole piece according to the performance data to obtain simulation data and real data, compare the simulation data with the real data, and when the difference between the simulation data and the real data is within the error range, determine that the simulation accuracy meets the simulation standard.

[0054] It can be understood that when the difference between the simulation data obtained by the simulation test and the actual data is within the error range, it means that the simulation accuracy of the current battery electrode meets the preset simulation standard, and further shows that the testing method of the current electrode meets the design standard. When the difference between the simulation data obtained by the simulation test and the actual data is outside the error range, it means that the current battery electrode does not meet the design standard.

[0055] In some embodiments, a corresponding battery model is established based on the performance data. A charging simulation test is performed based on the battery model to obtain simulation data. A charging experimental test is performed on the battery to obtain real data. The real data is compared with the simulation data, and when the difference in the preset output index between the real data and the simulation data is within a preset range, it is determined that the electrode meets the simulation design standard. Among them, the preset output index may include a root mean square error or other numerical values ​​that can reflect the difference between the simulation data and the real data. This application does not limit the specific content of the preset output index.

[0056] In one embodiment of the present application, the battery is charged by constant current, the charging process is completed within 1 hour and the data are recorded in the process. Figure 6 The simulation result diagram shown in the figure shows that the charging is completed within half an hour and the following records are obtained during the process: Figure 7The schematic diagram of the simulation verification results shown in FIG. Wherein, Sim represents simulation data, Exp represents experimental data, RMSE represents the root mean square error (RMSE) between the simulation voltage and the experimental voltage, and the root mean square error is used to judge the deviation between the simulation data and the experimental data. The root mean square error of the battery charging at a 1C rate is 24.4mV, and the root mean square error of the battery charging at a 2C rate is 14.0mV. Wherein, C represents the charging rate of the battery, that is, the current required for the battery to be fully charged to the rated capacity within a specific time. In this way, by reflecting that the error between the simulation data and the experimental data is small, it can effectively show that the electrode meets the design standards of the battery and the charging effect after using the electrode is good. At the same time, based on the accurate prediction of the simulation model, the performance of the electrode on different time scales is excellent, which can effectively reflect the accuracy of the electrode test, facilitate the rapid determination of whether the electrode meets the standard during the battery design process, improve the test efficiency of the electrode, and enhance the robustness of the battery design.

[0057] In some embodiments, before executing step S2, the electrode testing method further includes: when the static time of the battery reaches a preset time and the ambient temperature of the battery reaches a preset temperature, executing step S2.

[0058] That is to say, in one embodiment, before executing step S2, the battery may be left to stand to allow the electrode to be fully wetted.

[0059] When the static time of the battery reaches the preset time, place the battery in a thermostat and adjust the temperature of the thermostat to the preset temperature. The preset time can be 12 hours or other time. This application does not limit the specific static time of the battery. The temperature of the thermostat can be selected according to the actual test situation. For example, the temperature of the thermostat is set to 25°C. This application does not limit the specific temperature of the thermostat. When the ambient temperature of the battery reaches the preset temperature, execute step S2.

[0060] In this way, by leaving the battery still, it can ensure that the electrolyte can better penetrate into the pores of the electrode, which helps to increase the contact area and reaction activity between the electrolyte and the electrode, and reduce the probability of increasing the internal resistance of the battery. Placing the battery in a constant temperature box can provide a stable and accurate temperature environment, ensuring that the battery is less affected by temperature fluctuations in subsequent tests, and helping the chemical reaction inside the battery to proceed more smoothly. By simulating the ambient temperature through a constant temperature box, the authenticity and accuracy of the test can be improved, ensuring the safety of the test.

[0061] It is understandable that the battery mentioned in the above embodiment can use pole pieces with different compacted density (CompactedDensity), surface density and charge rate (States of Charge, SOC). Among them, the compacted density represents the mass contained in a unit volume, the surface density represents the mass per unit area, and the charge rate is used to display the charge state and the charge rate. The pole piece can be a fresh pole piece, that is, a pole piece that has not been used, or a pole piece that has been adjusted to a specified charge rate by charge and discharge. This application does not limit the specific style of the pole piece.

[0062] In one embodiment of the present application, the battery includes a symmetrical battery or a symmetrical cell, and includes at least two pole pieces and a separator, and the pole piece is a positive pole piece or a negative pole piece. Figure 2 The battery may include: a negative battery shell 101, a spring 102, a gasket 103, a first pole piece 1041, a diaphragm 105, a second pole piece 1042 and a positive battery shell 106. Among them, the first pole piece 1041 and the second pole piece 1042 are symmetrically arranged between the negative battery shell 101 and the positive battery shell 106 with respect to the diaphragm 105 to form a symmetrical structure. The spring 102 is arranged between the first pole piece 1041 and the negative battery shell 101. The spring 102 is used to connect the battery to power on. The spring 102 can be made of stainless steel, or can be made of iron or beryllium copper. The specific material of the spring 102 is not limited in this application. The gasket 103 is arranged between the spring 102 and the first pole piece 1041. The gasket 103 is used to prevent deformation of the internal material of the battery, maintain close contact inside the battery, and prevent loosening. The gasket 103 may be a stainless steel gasket or a rubber gasket, etc., and the present application does not limit the specific material of the gasket 103 .

[0063] It is understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the battery. In other embodiments of the present application, the battery may include more or fewer components than shown, or combine certain components, or separate certain components, or arrange the components differently.

[0064] See also Figure 8 ,like Figure 8 As shown, the present application also provides an electronic device 10, comprising: at least one processor 20; and a memory 30 communicatively connected to the at least one processor 20; wherein the memory 30 stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor 20 so that the at least one processor 20 can execute the above-mentioned pole piece testing method.

[0065] Among them, the memory 30 and the processor 20 are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors 20 and the memory 30 together. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art, so they are not further described in this article. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor 20 is transmitted on the wireless medium through the antenna, and further, the antenna also receives the data and transmits the data to the memory 30. The processor 20 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions. The memory 30 can be used to store data used by the processor 20 when performing operations.

[0066] Please continue reading Figure 8 The present application also provides a computer-readable storage medium storing a computer program 40, which is stored in the memory 30 and can be executed by the processor 20 to implement the above-mentioned pole piece testing method. The computer program 40 can be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium.

[0067] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously.

[0068] The above embodiments are described in the form of preferred embodiments of the present application, and are not intended to limit the scope of the present application. Without departing from the design spirit of the present application, various modifications and improvements made to the technical solutions of the present application by ordinary technicians in this field should fall within the scope of protection determined by the claims of the present application.

Claims

1. A pole piece testing method, characterized in that: The method comprises: Obtain battery electrode data and electrolyte liquid phase conductivity; Performing an AC impedance test on the battery to obtain an AC impedance spectrum of the battery; Fitting the AC impedance spectrum to obtain the ionic impedance of the battery; Determining performance data of the electrode according to the ionic impedance, the electrode data and the liquid phase conductivity of the electrolyte; The pole piece is subjected to simulation test and experimental test according to the performance data to obtain simulation data and real data, and the simulation data is compared with the real data. When the difference between the simulation data and the real data is within the error range, it is determined that the simulation accuracy meets the simulation standard.

2. The pole piece testing method according to claim 1, characterized in that: The step of fitting the AC impedance spectrum to obtain the ionic impedance of the battery includes: Obtaining a preset equivalent circuit model; The ionic impedance is obtained by fitting the preset equivalent circuit model and the AC impedance spectrum.

3. The pole piece testing method according to claim 2, characterized in that: The electrode piece data includes the geometric area of ​​the electrode piece and the thickness of the electrode piece, the performance data includes the McMullin number of the electrode piece, and the performance data of the electrode piece is determined according to the ionic impedance, the electrode piece data and the liquid phase conductivity of the electrolyte, including: The McMullin number of the electrode piece is determined based on the ionic impedance, the geometric area of ​​the electrode piece, the thickness of the electrode piece and the liquid phase conductivity of the electrolyte.

4. The pole piece testing method according to claim 3, characterized in that: The electrode data includes the porosity of the electrode, the performance data includes the tortuosity, Brugman coefficient, liquid phase conductivity / diffusion coefficient correction coefficient and effective liquid phase conductivity of the electrode, and the performance data of the electrode is determined according to the ionic impedance, the electrode data and the liquid phase conductivity of the electrolyte, and further includes: Calculating the liquid phase conductivity / diffusion coefficient correction coefficient according to the McMullin number; Calculating the effective liquid phase conductivity according to the liquid phase conductivity of the electrolyte and the liquid phase conductivity / diffusion coefficient correction coefficient; The tortuosity and the Brugmann coefficient are calculated based on the McMullin number and the porosity.

5. The pole piece testing method according to claim 4, characterized in that: The performance data also includes the effective liquid phase diffusion coefficient of the electrode, and the performance data of the electrode is determined according to the ionic impedance, the electrode data and the liquid phase conductivity of the electrolyte, and further includes: Obtaining a liquid phase diffusion coefficient of an electrolyte of the battery; The effective liquid phase diffusion coefficient is calculated according to the electrolyte liquid phase diffusion coefficient and the liquid phase conductivity / diffusion coefficient correction coefficient.

6. The pole piece testing method according to claim 1, characterized in that: The performing of simulation test and experimental test on the pole piece according to the performance data to obtain simulation data and real data includes: Establishing a corresponding battery model according to the performance data; Perform a charging simulation test according to the battery model to obtain the simulation data; The battery is subjected to a charging experiment test to obtain the real data.

7. The pole piece testing method according to claim 1, characterized in that: Before performing an AC impedance test on the battery to obtain an AC impedance spectrum of the battery, the method further includes: When the static time of the battery reaches a preset time and the ambient temperature of the battery reaches a preset temperature, the step of performing an AC impedance test on the battery is performed.

8. The pole piece testing method according to claim 1, characterized in that: The battery comprises a symmetrical battery or a symmetrical battery cell.

9. An electronic device, characterized in that: include: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the pole piece testing method as described in any one of claims 1 to 8.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the electrode testing method as claimed in any one of claims 1 to 8 is implemented.

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