Battery cell simulation method, device and equipment and computer readable storage medium

Abstract

The invention discloses a battery cell simulation method, device and equipment and a computer readable storage medium. The method comprises the following steps: acquiring design parameters of a target battery cell; wherein the design parameters comprise first tab parameters, and the first tab parameters comprise at least one of the number of tabs, tab configuration characterization parameters and tab state characterization parameters; and based on the design parameters of the target battery cell, simulating to obtain performance parameters of the target battery cell. By means of the mode, the performance of the battery cells in different tab forms can be rapidly predicted.

Description

Technical Field

[0001] This application relates to the field of battery technology, and in particular to a cell simulation method, apparatus, device, and computer-readable storage medium. Background Technology

[0002] Tabs, as the electron carriers in wound battery cells, are extremely important. In engineering applications, due to factors such as cell structure and tab strength, they are typically arranged in single-tab, full-tab, half-tab, and broken-tab configurations.

[0003] Different electrode layouts can affect the performance of battery cells. Currently, to investigate the impact of different electrode layouts on battery cell performance, it is necessary to actually produce and develop battery cells, which leads to increased costs and low research efficiency. Summary of the Invention

[0004] This application provides at least one method, apparatus, device, and computer-readable storage medium for simulating battery cells.

[0005] The first aspect of this application provides a cell simulation method, which includes: obtaining design parameters of a target cell; wherein the design parameters include first tab parameters, the first tab parameters including at least one of the number of tabs, tab configuration characterization parameters and tab state characterization parameters; and simulating the performance parameters of the target cell based on the design parameters of the target cell.

[0006] Therefore, since the first tab parameters of the target battery cell are obtained, the performance parameters of the target battery cell with corresponding tab configurations can be simulated based on these parameters, enabling rapid prediction of the performance of the target battery cell with the corresponding tab configuration. Furthermore, by obtaining different first tab parameters of the target battery cell, the performance parameters of target battery cells with different tab configurations can be simulated, enabling rapid prediction of the performance of target battery cells with different tab configurations. This provides theoretical guidance for battery cell tab design, eliminating the need for actual battery cell production and R&D, thus reducing costs.

[0007] Among them, the tab configuration characterization parameter is used to characterize whether the tab configuration of the target cell is a full tab configuration or a half tab configuration; the tab status characterization parameter is used to characterize whether the target tab of the target cell is broken. The target tab is preset or determined by the user.

[0008] Therefore, when the tab configuration characterization parameters indicate that the target cell has a full-tab or half-tab configuration, the performance parameters of the target cell with the full-tab or half-tab configuration can be simulated, enabling rapid prediction of the performance of the target cell with the full-tab or half-tab configuration. When the tab state characterization parameters indicate that the target tab of the target cell is broken, the performance parameters of the target cell with the broken tab can be simulated, enabling rapid prediction of the performance of the target cell with the broken tab. Furthermore, based on the performance parameters of the target cell with the broken tab, the impact of the broken tab can be evaluated (e.g., whether the broken tab will cause lithium plating).

[0009] The design parameters include at least one of the second tab parameters and the cell body parameters. The second tab parameters include at least one of the positive tab width, the negative tab width, and the tab center distance. The cell body parameters include at least one of the thickness parameters and the cell material. The thickness parameters include at least one of the positive current collector thickness, the negative current collector thickness, the separator thickness, the positive electrode thickness, and the negative electrode thickness.

[0010] Therefore, since the second tab parameters and cell body parameters of the target cell are also obtained, the performance parameters of the target cell can be simulated based on the second tab parameters and cell body parameters of the target cell, corresponding to the tab form of the first tab parameters and the second tab parameters, as well as the body structure of the target cell corresponding to the cell body parameters. This enables rapid prediction of the performance of the target cell corresponding to the tab form of the first tab parameters and the second tab parameters, as well as the body structure of the target cell corresponding to the cell body parameters.

[0011] The process involves simulating the performance parameters of the target battery cell based on its design parameters, including: obtaining the electrochemical model of the target battery cell; and solving the electrochemical model based on the design parameters to obtain the performance parameters of the target battery cell.

[0012] Therefore, since the electrochemical model is a mathematical model used to simulate the internal electrochemical processes of lithium-ion batteries (such as the diffusion, migration, and reaction of lithium ions in porous electrodes), solving the electrochemical model can yield the performance parameters of the battery cell, providing an important basis for performance evaluation, optimization design, and safety improvement of the battery cell. Furthermore, if the electrochemical model is solved in conjunction with the first tab parameters of the target battery cell, the performance parameters of the target battery cell with the corresponding tab form can be obtained, enabling rapid prediction of the performance of the target battery cell with the corresponding tab form.

[0013] Before solving the electrochemical model based on the design parameters to obtain the performance parameters of the target cell, the cell simulation method also includes: constructing the geometric configuration of the target cell using the design parameters; and solving the electrochemical model based on the geometric configuration to obtain the performance parameters of the target cell.

[0014] Therefore, by constructing the geometric configuration of the target cell under the first tab parameter, the structure of the cell can be accurately described, thereby accurately simulating the electrochemical process of the target cell under the first tab parameter, and thus obtaining more accurate performance parameters of the target cell.

[0015] The target cell's geometric configuration is the geometric configuration of the target cell in its unfolded state. Based on the geometric configuration, the electrochemical model is solved to obtain the performance parameters of the target cell, including: dividing the geometric configuration into several grids; solving the electrochemical model for each grid to obtain the performance parameters of the target cell.

[0016] Therefore, electrochemical models often involve complex partial differential equations, which are difficult to solve exactly by direct solution and thus require numerical methods. Mesh generation is an important step in numerical solution, which discretizes continuous geometric configurations into a series of discrete points (nodes) and lines (elements) connecting these points, thereby facilitating numerical calculation.

[0017] The electrochemical model includes several equations. The solution process of the electrochemical model includes obtaining the boundary conditions of the target battery cell and solving the several equations based on the boundary conditions. The several equations include at least one of diffusion equation, potential equation, and interface reaction equation. The diffusion equation includes at least one of solid-phase diffusion equation and liquid-phase diffusion equation. The solid-phase diffusion equation is used to describe the diffusion process of charge carriers inside the electrode active material particles, and the liquid-phase diffusion equation is used to describe the diffusion process of charge carriers in the electrolyte. The potential equation includes at least one of solid-phase potential equation and liquid-phase potential equation. The solid-phase potential equation is used to describe the potential distribution in the electrode active material particles, and the liquid-phase potential equation is used to describe the potential distribution in the electrolyte. The interface reaction equation is used to describe the change of current on the electrode with the motor potential.

[0018] Therefore, as a set of partial differential equations describing the internal electrochemical processes of lithium-ion batteries, electrochemical models require boundary conditions to provide information about the solutions of the equations at the boundaries. These boundary conditions ensure that the solutions of the equation set are physically reasonable and conform to actual physical phenomena.

[0019] The boundary conditions used in solving the electrochemical model are related to the first tab parameter; and / or, the design parameters also include the second tab parameter, and the boundary conditions used in solving the electrochemical model are related to the second tab parameter.

[0020] Therefore, by setting boundary conditions related to the first tab parameter, the electrochemical model can more accurately simulate the electrochemical processes inside the cell under the first tab parameter. Thus, the performance parameters of the target cell obtained from the electrochemical model can more accurately reflect the performance of the target cell under the first tab parameter. Similarly, by setting boundary conditions related to the second tab parameter, the electrochemical model can more accurately simulate the electrochemical processes inside the cell under the second tab parameter. Therefore, the performance parameters of the target cell obtained from the electrochemical model can more accurately reflect the performance of the target cell under the second tab parameter.

[0021] The design parameters also include the main parameters of the battery cell, and the electrochemical model includes several equations, with at least one constant term in the equation being related to the main parameters of the battery cell.

[0022] Therefore, by setting a constant term in at least one equation of the electrochemical model to be related to the main parameters of the battery cell, the electrochemical model can more accurately simulate the electrochemical process inside the battery cell under the main parameters of the battery cell; thus, the performance parameters of the target battery cell obtained by solving the electrochemical model can more accurately reflect the performance of the target battery cell under the main parameters of the battery cell.

[0023] Among them, the main parameters of the battery cell include thickness parameters and battery cell material. Several equations include solid-phase diffusion equation, potential equation and interface reaction equation. The solid-phase diffusion coefficient and solid-phase particle radius in the solid-phase diffusion equation and the equilibrium potential in the interface reaction equation are related to the battery cell material. At least one constant term in the potential equation is related to the thickness parameter.

[0024] Therefore, the constant terms in the electrochemical equations affected by different cell parameters can be flexibly set.

[0025] The performance parameters include at least one of the following: lithium insertion capacity of the target cell, battery voltage, anode potential, current distribution, lithium plating window, and battery capacity.

[0026] Therefore, based on the design parameters of the target cell, it is possible to simulate the performance parameters of the target cell, such as lithium insertion capacity, battery voltage, anode potential, current distribution, lithium plating window, and battery capacity, which can intuitively reflect the performance of the target cell with the corresponding first tab parameter.

[0027] The electrode configuration characterization parameters are used to characterize whether the electrode configuration of the target cell is a full-tab configuration or a half-tab configuration. The target cell includes a first target cell characterized by a full-tab configuration and a second target cell characterized by a half-tab configuration. After obtaining the performance parameters of the first and second target cells, the cell simulation method further includes: analyzing the impact of full-tab and half-tab configurations on the cell based on the differences between the performance parameters of the first and second target cells; and / or, the design parameters also include the cell body parameters, and the target cells include a third and a fourth target cell. The cell cores correspond to different main cell parameters; after obtaining the performance parameters of the third and fourth target cells, the cell simulation method also includes: analyzing the impact of different cell systems on the cell based on the differences between the performance parameters of the third and fourth target cells; and / or, the tab state characterization parameter is used to characterize whether the target tab of the target cell has broken, the target cell includes a fifth target cell, and the tab state characterization parameter corresponding to the fifth target cell is used to characterize whether the target tab has broken; after obtaining the performance parameters of the fifth target cell, the cell simulation method also includes: analyzing the impact of tab breakage on the cell based on the performance parameters of the fifth target cell.

[0028] Therefore, by analyzing the differences in performance parameters between full-tab and half-tab cells, the impact of these configurations on cell performance can be assessed, providing theoretical guidance for cell tab design. Similarly, by analyzing the differences in performance parameters between the third and fourth target cells, the impact of different cell systems on cell performance can be assessed, providing theoretical guidance for cell system selection. Finally, by analyzing the performance parameters of the fifth target cell where the target tab has fractured, the impact of target tab fracture on cell performance can be assessed.

[0029] The performance parameters include the anode potential at different locations of the target cell. Based on the performance parameters of the fifth target cell, the impact of tab breakage on the cell is analyzed, including: in response to the presence of an abnormal location in the fifth target cell where the anode potential is less than a first potential value, it is determined that the tab breakage leads to a risk of lithium plating at the abnormal location of the fifth target cell; and / or, the performance parameters include the anode potential at different locations of the target cell, and the impact of tab breakage on the cell includes the risk of lithium plating at the abnormal location of the fifth target cell after tab breakage. The cell simulation method also includes: obtaining the anode potential difference between the fifth and sixth target cells at the abnormal location, wherein the tab state characterization parameter corresponding to the sixth target cell is used to characterize that the target tab is not broken; in response to the anode potential difference being greater than a second potential value, it is determined that the risk value of lithium plating at the abnormal location is greater than a preset risk value.

[0030] Therefore, if the anode potential of a battery cell is lower than the first potential value after one tab breaks, it indicates that lithium plating will occur. Conversely, if the anode potential of the cell with the broken tab is significantly higher than that of the cell with the intact tab, it indicates that the breakage of the broken tab will increase lithium plating.

[0031] Among them, the performance parameters of the target battery cell are the performance parameters of the target battery cell at different times under the preset working state; the battery cell simulation method also includes: displaying the performance parameters of the target battery cell at different times under the preset working state.

[0032] Therefore, it will output the performance parameters of the target cell at different times under the preset working state, so that users can conduct subsequent performance analysis of the target cell.

[0033] A second aspect of this application provides a battery cell simulation device, which includes an acquisition module and a simulation module. The acquisition module is used to acquire the design parameters of a target battery cell. The design parameters include first tab parameters, which include at least one of the number of tabs, tab configuration characterization parameters, and tab state characterization parameters. The simulation module is used to simulate the performance parameters of the target battery cell based on the design parameters of the target battery cell.

[0034] A third aspect of this application provides a battery cell simulation device, which includes a memory and a processor. The memory stores program instructions, and the processor executes the program instructions to implement the battery cell simulation method described above.

[0035] A fourth aspect of this application provides a computer-readable storage medium for storing program instructions that can be executed to implement the above-described cell simulation method.

[0036] The above technical solution obtains the first tab parameters of the target cell. Therefore, based on the first tab parameters of the target cell, it is possible to simulate the performance parameters of the target cell with the tab form corresponding to the first tab parameters, thereby realizing rapid prediction of the performance of the target cell with the tab form corresponding to the first tab parameters.

[0037] Furthermore, by obtaining the different first tab parameters of the target cell, the performance parameters of the target cell with different tab forms can be simulated, enabling rapid prediction of the performance of the target cell with different tab forms. This provides theoretical guidance for the tab design of the cell, eliminating the need for actual production and R&D of the cell, thus reducing costs. Attached Figure Description

[0038] Figure 1This is a flowchart illustrating an embodiment of the cell simulation method provided in this application;

[0039] Figure 2 This is a schematic diagram of an embodiment of a battery cell with a full-tab configuration provided in this application;

[0040] Figure 3 This is a schematic diagram of an embodiment of a battery cell with a half-tab configuration provided in this application;

[0041] Figure 4 This is a schematic diagram of an embodiment of a battery cell with a broken target electrode provided in this application;

[0042] Figure 5 This is a cloud map showing the distribution of local lithium intercalation state at the anode during the charging process of the battery cell provided in this application;

[0043] Figure 6 This is another distribution cloud map of the local lithium intercalation state at the anode during the charging process of the battery cell provided in this application;

[0044] Figure 7 This is a cloud map showing the anode potential distribution at the end of the battery cell charging process provided in this application.

[0045] Figure 8 This is another distribution cloud map of the anode potential at the end of the battery cell charging phase provided in this application;

[0046] Figure 9 This is a schematic diagram of battery voltage changes provided in this application;

[0047] Figure 10 This is a schematic diagram of the local anode voltage variation provided in this application;

[0048] Figure 11 yes Figure 1 The flowchart of step S12 shown is a schematic diagram of one embodiment;

[0049] Figure 12 This is a schematic diagram of an embodiment of the battery cell simulation device provided in this application;

[0050] Figure 13 This is a schematic diagram of the structure of an embodiment of the battery cell simulation device provided in this application;

[0051] Figure 14 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. Detailed Implementation

[0052] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0053] In the following description, specific details such as particular system architectures, interfaces, and technologies are presented for illustrative purposes rather than for limiting purposes, in order to provide a thorough understanding of this application.

[0054] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " generally indicates that the preceding and following related objects have an "or" relationship. Furthermore, "many" in this document means two or more. Moreover, the term "at least one" in this document means any combination of at least two of any one or more of a plurality of objects. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0055] Please see Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the cell simulation method provided in this application. It should be noted that if substantially the same result is achieved, the embodiment of this application does not necessarily reflect that outcome. Figure 1 The illustrated process sequence is limited. For example... Figure 1 As shown, this embodiment includes:

[0056] Step S11: Obtain the design parameters of the target cell.

[0057] In this embodiment, the design parameters of the target battery cell are obtained. The design parameters include the first tab parameters, which include at least one of the number of tabs, tab configuration characterization parameters, and tab state characterization parameters.

[0058] The number of tabs refers to the number of tabs on a battery cell. Tabs are metal conductors that lead out the positive and negative terminals from the battery cell and serve as contact points during charging and discharging. By obtaining the number of tabs on a target battery cell, the performance parameters of the target battery cell with the corresponding number of tabs can be simulated, enabling rapid prediction of the performance of the target battery cell with a corresponding number of tabs. Furthermore, by obtaining different numbers of tabs on the target battery cell, the performance parameters of target battery cells with different numbers of tabs can be simulated, enabling rapid prediction of the performance of target battery cells with different numbers of tabs. This provides theoretical guidance for the design of battery cell tabs, eliminating the need for actual production and R&D of battery cells, thus reducing costs.

[0059] The number of electrodes is not limited and can be set according to actual use. For example, the number of electrodes can be 65 or 70. It should be noted that the number of electrodes refers to the number of electrode pairs. For example, if the number of electrodes is 65, then there are 65 pairs of electrodes.

[0060] The tab configuration characterization parameters are parameters that characterize the tab configuration of the target battery cell in the simulation. Tab configuration refers to the structural design and shape configuration of the tabs. By obtaining the tab configuration characterization parameters of the target battery cell, the performance parameters of the target battery cell with the corresponding tab configuration characterization parameters can be simulated, enabling rapid prediction of the performance of the target battery cell with the corresponding tab configuration characterization parameters. Furthermore, by obtaining the characterization parameters of different tab configurations of the target battery cell, the performance parameters of the target battery cell with different tab configurations can be simulated, enabling rapid prediction of the performance of the target battery cell with different tab configurations. This provides theoretical guidance for the tab design of the battery cell, eliminating the need for actual production and R&D of the battery cell, thus reducing costs.

[0061] The tab state characterization parameters are parameters that characterize the tab state of the target battery cell in the simulation. By obtaining the tab state characterization parameters of the target battery cell, the performance parameters of the target battery cell with the corresponding tab state characterization parameters can be simulated, enabling rapid prediction of the performance of the target battery cell with the corresponding tab state characterization parameters. Furthermore, by obtaining the tab state characterization parameters of the target battery cell with different tab states, the performance parameters of the target battery cell with different tab states can be simulated, enabling rapid prediction of the performance of the target battery cell with different tab states. This provides theoretical guidance for the tab design of the battery cell, eliminating the need for actual production and R&D of the battery cell, thus reducing costs.

[0062] In one embodiment, the tab configuration characterization parameters are used to characterize whether the target cell's tab configuration is a full-tab configuration or a half-tab configuration. When the tab configuration characterization parameters characterize the target cell's tab configuration as a full-tab or half-tab configuration, subsequent simulations can obtain the performance parameters of the target cell with the full-tab or half-tab configuration. This enables rapid prediction of the target cell's performance with the full-tab or half-tab configuration, providing theoretical guidance for the cell's tab design without requiring actual cell production and R&D, thus reducing costs.

[0063] like Figure 2 As shown, Figure 2 This is a schematic diagram of an embodiment of the all-tab configuration battery cell provided in this application. Figure 2 The image shows the unfolded state of a battery cell with a full-tab configuration. Figure 3 As shown, Figure 3 This is a schematic diagram of an embodiment of the half-tab configuration battery cell provided in this application. Figure 3 The image shows the unfolded state of a battery cell with a half-tab configuration.

[0064] Of course, in other embodiments, the tab configuration characterization parameters can also be used to characterize the target cell's tab configuration as a single-tab configuration. When the tab configuration characterization parameters characterize the target cell's tab configuration as a single-tab configuration, the performance parameters of the single-tab target cell can be simulated subsequently, enabling rapid prediction of the single-tab target cell's performance.

[0065] In one embodiment, the tab state characterization parameter is used to characterize whether the target tab of the target cell has broken. Tab breakage refers to the phenomenon that the tab portion of the cell is broken or damaged. When the tab state characterization parameter indicates that the target tab of the target cell has broken, the performance parameters of the target cell with broken target tabs can be simulated to achieve rapid prediction of the performance of the target cell with broken target tabs. Furthermore, based on the performance parameters of the target cell with broken target tabs, the impact of the target tab breakage can be evaluated (e.g., whether the target tab breakage will cause lithium plating).

[0066] The target tab is either preset or determined by the user. Because the target tab to break is preset or determined by the user, the target tab to break can be flexibly set.

[0067] For example, such as Figure 4 As shown, Figure 4 This is a schematic diagram of an embodiment of a battery cell with a broken target tab provided in this application. The broken target tab is the outermost tab of the target battery cell.

[0068] In one embodiment, the design parameters further include at least one of the second tab parameters and the cell body parameters. The second tab parameters include at least one of the positive tab width, the negative tab width, and the tab center distance. The cell body parameters include at least one of the thickness parameters and the cell material. The thickness parameters include at least one of the positive current collector thickness, the negative current collector thickness, the separator thickness, the positive electrode thickness, and the negative electrode thickness. The dimensions of the positive tab width, negative tab width, tab center distance, positive current collector thickness, negative current collector thickness, separator thickness, positive electrode thickness, and negative electrode thickness are not limited and can be specifically set according to actual usage needs. For example, the positive tab width is 6mm, the negative tab width is 6mm, the tab center distance is 60mm, the positive current collector thickness is 10μm, the negative current collector thickness is 10μm, the separator thickness is 10μm, the positive electrode thickness is 100μm, and the negative electrode thickness is 100μm. Furthermore, there are no restrictions on the cell material; it can be specifically set according to actual usage needs. For example, the cell material can be a ternary system material, a lithium iron phosphate system material, etc.

[0069] It should be noted that, as Figure 2 As shown, the center-to-center distance of a pair of electrodes is along the length direction ( Figure 2 The distance (in the horizontal direction) in the cell. Positive electrode tab width refers to the width of the metal strip in the positive electrode tab portion of the cell. Negative electrode tab width refers to the width of the metal strip in the negative electrode tab portion of the cell. Positive current collector thickness refers to the thickness of the current collector in the positive electrode of the cell. Negative electrode current collector thickness refers to the thickness of the current collector in the negative electrode of the cell. Separator thickness refers to the thickness of the separator material. Positive electrode thickness refers to the thickness of the positive electrode material in the cell. Negative electrode thickness refers to the thickness of the negative electrode material in the cell.

[0070] When the design parameters include both the first tab parameter and the second tab parameter, the performance parameters of the target cell with the corresponding first tab parameter and second tab parameter can be simulated to obtain the performance parameters of the target cell with the corresponding first tab parameter and second tab parameter. This enables rapid prediction of the performance of the target cell with the corresponding first tab parameter and second tab parameter. Furthermore, by obtaining different first tab parameters and second tab parameters of the target cell, the performance parameters of the target cell with different tab parameters can be simulated to obtain the performance parameters of the target cell with different tab parameters. This enables rapid prediction of the performance of the target cell with different tab parameters, providing theoretical guidance for the tab design of the cell. It eliminates the need for actual production and R&D of the cell, thus reducing costs.

[0071] When the design parameters include both the first tab parameters and the cell body parameters, the performance parameters of the target cell can be simulated to obtain the tab form corresponding to the first tab parameters and the main structure corresponding to the cell body parameters. This enables rapid prediction of the performance of the target cell with the tab form corresponding to the first tab parameters and the main structure corresponding to the cell body parameters. Furthermore, by obtaining different first tab parameters and cell body parameters of the target cell, the performance parameters of the target cell with different tab forms and different main structures can be simulated to obtain the performance parameters of the target cell with different tab forms and different main structures. This enables rapid prediction of the performance of the target cell with different tab forms and different main structures, providing theoretical guidance for the design of the cell's tab and main structure. This eliminates the need for actual cell production and R&D, thus reducing costs.

[0072] When the design parameters simultaneously include the first tab parameter, the second tab parameter, and the cell body parameter, subsequent simulations can obtain the performance parameters of the target cell corresponding to the tab form with the first tab parameter and the second tab parameter, as well as the main body structure with the corresponding cell body parameter. This enables rapid prediction of the performance of the target cell with the tab form with the first tab parameter and the second tab parameter, as well as the main body structure with the corresponding cell body parameter. Furthermore, by obtaining different first tab parameters, second tab parameters, and main body parameters of the target cell, simulations can obtain the performance parameters of the target cell with different tab forms and different main body structures. This enables rapid prediction of the performance of the target cell with different tab forms and different main body structures, providing theoretical guidance for the design of the cell's tab and main body structure. This eliminates the need for actual cell production and R&D, thus reducing costs.

[0073] Step S12: Based on the design parameters of the target cell, the performance parameters of the target cell are obtained through simulation.

[0074] In this embodiment, the performance parameters of the target battery cell are simulated based on its design parameters. Since the obtained parameters pertain to the first tab of the target battery cell, subsequent simulations based on these parameters can yield the performance parameters of target batteries with different tab configurations, enabling rapid prediction of the performance of target batteries with different tab configurations. Furthermore, by acquiring different first tab parameters of the target battery cell, the performance parameters of target batteries with different tab configurations can be simulated, achieving rapid prediction of the performance of target batteries with different tab configurations. This provides theoretical guidance for battery cell tab design, eliminating the need for actual battery cell production and R&D, thus reducing costs.

[0075] In one embodiment, the performance parameters of the target battery cell include at least one of the following: lithium insertion capacity, battery voltage, anode potential, current distribution, lithium plating window, and battery capacity. That is, based on the design parameters of the target battery cell, performance parameters such as lithium insertion capacity, battery voltage, anode potential, current distribution, lithium plating window, and battery capacity can be simulated, directly reflecting the performance of the target battery cell with the corresponding first tab parameters. Furthermore, by subsequently obtaining different first tab parameters of the target battery cell, performance parameters such as lithium insertion capacity, battery voltage, anode potential, current distribution, lithium plating window, and battery capacity of target battery cells with different tab types can be simulated, directly reflecting the performance of target battery cells with different tab types.

[0076] It should be noted that the lithium insertion rate of a battery cell refers to the amount of lithium ions inserted into and extracted from the positive electrode material of the cell during charging and discharging. Battery voltage refers to the potential difference between the positive and negative electrodes when the battery is in an open-circuit state (i.e., no current flows through it). Anode potential refers to the electrode potential of the battery anode, describing the potential difference between the anode and the reference electrode within the battery. Current distribution refers to the distribution of current throughout the battery during operation. Battery capacity refers to the amount of electricity a battery can store or release under certain conditions.

[0077] In one embodiment, the tab configuration characterization parameter is used to characterize whether the tab configuration of the target cell is a full-tab configuration or a half-tab configuration. The target cell includes a first target cell with a full-tab configuration and a second target cell with a half-tab configuration. After obtaining the performance parameters of the first and second target cells, the impact of the full-tab and half-tab configurations on the cell is analyzed based on the differences between the performance parameters of the first and second target cells. In other words, based on the differences between the performance parameters of the full-tab and half-tab cells, the impact of the full-tab and half-tab configurations on the cell performance can be evaluated, providing theoretical guidance for the tab design of the cell.

[0078] Of course, in other implementations, the tab configuration characterization parameters can also be used to characterize whether the target cell has a single tab configuration or other tab configurations. Therefore, the impact of other tab configurations on the cell's performance can also be evaluated to provide theoretical guidance for the tab design of the cell.

[0079] In one embodiment, the design parameters also include core cell parameters. The target cells include a third target cell and a fourth target cell, with different core cell parameters for each. After obtaining the performance parameters of the third and fourth target cells, the impact of different cell systems on the cell is analyzed based on the differences between their performance parameters. In other words, based on the differences between the performance parameters of the third and fourth target cells, the impact of different cell systems on the cell's performance can be assessed, providing theoretical guidance for the selection of the cell system.

[0080] For example, if the battery cell system includes ternary system and lithium iron phosphate system, with the ternary system corresponding to the third target battery cell and the lithium iron phosphate system corresponding to the fourth target battery cell, then based on the difference between the performance parameters of the third target battery cell and the performance parameters of the fourth target battery cell, the impact of the ternary system and the lithium iron phosphate system on the performance of the battery cell can be evaluated, providing theoretical guidance for choosing between the ternary system and the lithium iron phosphate system for the battery cell.

[0081] In one embodiment, the tab state characterization parameter is used to characterize whether the target tab of the target cell has broken. The target cell includes a fifth target cell, and the tab state characterization parameter corresponding to the fifth target cell is used to characterize whether the target tab has broken. After obtaining the performance parameters of the fifth target cell, the impact of the target tab breakage on the cell is analyzed based on the performance parameters of the fifth target cell. That is, based on the performance parameters of the fifth target cell with a broken target tab, the impact of the target tab breakage on the cell's performance can be evaluated.

[0082] In one specific implementation, the performance parameters include the anode potential at different locations of the target battery cell. Based on the performance parameters of the fifth target battery cell, the impact of target tab breakage on the battery cell is analyzed. Specifically, in response to the presence of an abnormal location in the fifth target battery cell where the anode potential is lower than a first potential value, it is determined that the breakage of the target tab leads to a risk of lithium plating at the abnormal location of the fifth target battery cell. In other words, if the anode potential of the battery cell is lower than the first potential value after one tab breaks, it indicates that the breakage of one tab will lead to lithium plating. The magnitude of the first potential value is not limited and can be set according to actual usage needs. For example, the first potential value can be 0V.

[0083] Figure 5 This is a cloud map showing the distribution of local lithium intercalation states at the anode during the charging process of the battery cell, as provided in this application. Figure 5 As shown, Figure 5 This is a cloud map showing the distribution of local lithium intercalation states at the anode during the charging process of a half-tab battery cell. Figure 5 The vertical axis in the graph represents the amount of lithium intercalation, through... Figure 5 It can be clearly seen that the battery cells with a half-tab configuration that do not show tab breakage do not have insufficient lithium intercalation, that is, there is no lithium plating phenomenon. Figure 6 This is another distribution cloud map of the local lithium intercalation state at the anode during the cell charging process provided in this application, such as... Figure 6 As shown, Figure 6 This is a cloud map showing the distribution of local lithium intercalation state at the anode of a battery cell with a broken outermost tab during the charging process. Figure 6 The vertical axis in the graph represents the amount of lithium intercalation, through... Figure 6 It is clear that in a cell with a half-tab configuration where the tab breaks, there will be insufficient lithium insertion at the abnormal location where the tab breaks, that is, lithium plating occurs.

[0084] Figure 7 This is a cloud map showing the anode potential distribution at the end of cell charging, as provided in this application. Figure 7 As shown, Figure 7 This is a cloud map showing the anode potential distribution at the end of charging in a half-tab configuration battery cell. Figure 8 This is another distribution cloud map of the anode potential at the end of the battery cell charging stage provided in this application, such as... Figure 8 As shown, Figure 8 This is a cloud map of the anode potential distribution at the end of charging for a half-tab configuration battery cell. (Comparison) Figure 7 and Figure 8 It can be seen that the anode potential is lowest at the abnormal location where the tab breaks.

[0085] In one specific implementation, the performance parameters include the anode potential at different locations of the target battery cell. The impact of target tab breakage on the battery cell includes the risk of lithium plating at abnormal locations of the fifth target battery cell after the target tab breakage. The anode potential difference between the fifth and sixth target battery cells at the abnormal locations is also acquired. The tab state characterization parameter corresponding to the sixth target battery cell is used to characterize the absence of target tab breakage. In response to the anode potential difference being greater than a second potential value, the risk value of lithium plating at the abnormal location is determined to be greater than a preset risk value. That is, after one tab of the battery cell breaks, if the anode potential of the cell with the broken tab is much greater than the anode potential of the cell with the intact tab, then it indicates that the breakage of one tab of the battery cell will increase the lithium plating phenomenon.

[0086] The second potential value and the preset risk value are not limited and can be set according to actual usage needs.

[0087] In one embodiment, the performance parameters of the target battery cell are the performance parameters of the target battery cell at different times under a preset operating state, and the performance parameters of the target battery cell at different times under the preset operating state will also be displayed. That is, the performance parameters of the target battery cell at different times under the preset operating state will be output to facilitate the user's subsequent performance analysis of the target battery cell.

[0088] The preset working state can be charging state, discharging state, etc., and is not limited here.

[0089] For example, such as Figure 9 As shown, Figure 9 This is a schematic diagram of battery voltage changes provided in this application, displaying the battery voltage of the target cell at different times during charging. For example, as shown... Figure 10 As shown, Figure 10 This is a schematic diagram of the local anode voltage variation provided in this application, and the output shows the local anode voltage of the target cell at different times during the discharge state.

[0090] In one specific embodiment, the performance parameters of the target cell at all times under a preset operating state can be simulated and then displayed. Alternatively, in other specific embodiments, the performance parameters of the target cell at some times under a preset operating state can be simulated and then immediately displayed; that is, the performance parameters of the target cell at different times under a preset operating state are output in real time to facilitate real-time monitoring of the simulation process by the user.

[0091] Please see Figure 11 , Figure 11 yes Figure 1The diagram shows a flowchart of one embodiment of step S12. It should be noted that if substantially the same result is achieved, the embodiments of this application do not necessarily differ. Figure 11 The illustrated process sequence is limited. For example... Figure 11 As shown, this embodiment includes:

[0092] Step S111: Obtain the electrochemical model of the target cell.

[0093] In this embodiment, an electrochemical model of the target battery cell is obtained. It should be noted that the electrochemical model provided in this application is a P2D model. A P2D model, or pseudo-two-dimensional model, also known as a quasi-two-dimensional model of lithium batteries, is a mathematical model used to simulate the internal electrochemical processes of lithium-ion batteries (such as the diffusion, migration, and reaction of lithium ions in porous electrodes).

[0094] In one embodiment, the electrochemical model includes several equations, including at least one of diffusion equations, potential equations, and interfacial reaction equations. The diffusion equations include at least one of solid-phase diffusion equations and liquid-phase diffusion equations. The solid-phase diffusion equations describe the diffusion process of charge carriers within the particles of the electrode active material, and the liquid-phase diffusion equations describe the diffusion process of charge carriers in the electrolyte. The potential equations include at least one of solid-phase potential equations and liquid-phase potential equations. The solid-phase potential equations describe the potential distribution within the particles of the electrode active material, and the liquid-phase potential equations describe the potential distribution in the electrolyte. The interfacial reaction equations describe the change of current on the electrode with respect to the motor potential.

[0095] The solid-phase diffusion equation is shown below:

[0096]

[0097] Among them, c s Indicates the amount of lithium intercalated in the solid phase; D s denoted by , r represents the solid-phase diffusion coefficient; r represents the position of the solid-phase particle along its radius; j represents the surface current density; F represents the Faraday constant; and R represents the solid-phase particle radius. It should be noted that the solid-phase diffusion equation is described by Fick's law, where the molar flux caused by diffusion is proportional to the concentration gradient, and the rate of change of concentration at a point in space is proportional to the spatial second derivative of the concentration.

[0098] The specific liquid-phase diffusion equation is as follows:

[0099]

[0100] Where, ε l c represents the porosity of the corresponding region. l Indicates the lithium ion concentration in the liquid phase component; x represents the electrode thickness direction coordinate; D eff,l t represents the effective liquid phase diffusion coefficient;+ denoted by , where is the lithium ion transport number in the electrolyte; 'a' represents the specific surface area of ​​the solid particles; and 'L' represents the total thickness of the electrode. It should be noted that the liquid-phase diffusion equation considers both the diffusion and electromigration processes of lithium ions along the thickness direction of the battery electrode.

[0101] The solid-phase potential equation and liquid-phase potential equation are used to calculate the potential and current at various locations in the battery system using Ohm's law and Kirchhoff's laws. The main governing equations are as follows:

[0102]

[0103] φ s (negative pole, t) = 0

[0104] φ s (positive electrode, t) = Ecell

[0105] Where, σ s,eff and σ l,eff φ represents the effective conductivity of the solid and liquid phases, respectively. s and φ l These represent the potentials of the solid and liquid phases, respectively; Ecell represents the full cell potential; R represents the gas constant; and T represents the temperature.

[0106] The specific interfacial reaction equation is shown below:

[0107]

[0108]

[0109] Among them, c s,max This indicates the maximum lithium-ion density that can be accommodated in graphite and cathode particles; c s,surf The graphite and cathode particle surface lithium-ion density are represented by i0; the exchange current density is represented by k. a and k c α represents the rate constants of the anodic and cathode reactions, respectively; a and α c Let represent the transfer coefficients of the anode and cathode, respectively; η represent the electrode reaction overpotential; R represent the gas constant; and T represent the temperature. It should be noted that the current densities at the electrode surfaces are all obtained using the Butler-Folmer equation.

[0110] Step S112: Solve the electrochemical model based on the design parameters to obtain the performance parameters of the target cell.

[0111] In this embodiment, the electrochemical model is solved based on the design parameters to obtain the performance parameters of the target battery cell. Since the electrochemical model is a mathematical model used to simulate the internal electrochemical processes of a lithium-ion battery (e.g., the diffusion, migration, and reaction of lithium ions in porous electrodes), solving the electrochemical model can yield the battery cell's performance parameters, providing an important basis for performance evaluation, optimized design, and safety improvement. Furthermore, if the electrochemical model is solved in conjunction with the first tab parameters of the target battery cell, the performance parameters of the target battery cell with tab configurations corresponding to the first tab parameters can be obtained, enabling rapid prediction of the performance of target battery cells with tab configurations corresponding to the first tab parameters.

[0112] In one embodiment, before solving the electrochemical model based on design parameters to obtain the performance parameters of the target battery cell, the geometric configuration of the target battery cell is constructed using the design parameters. The electrochemical model is then solved based on this geometric configuration to obtain the performance parameters of the target battery cell. By constructing the geometric configuration of the target battery cell under the first tab parameters, the structure of the battery cell is accurately described, thereby enabling accurate simulation of the electrochemical process of the target battery cell under the first tab parameters, and ultimately obtaining more accurate performance parameters of the target battery cell. Furthermore, after constructing the target battery cell under the first tab parameters, the first tab parameters of the target battery cell can be easily obtained. Moreover, solving the electrochemical model requires setting certain boundary conditions, which are related to the geometric configuration of the target battery cell.

[0113] In one specific implementation, the geometric configuration of the target battery cell is the geometric configuration of the target battery cell in its unfolded state. That is, considering the unique structural characteristics of the wound battery cell, the entire battery cell is unfolded and then parametrically modeled, which greatly shortens the geometric configuration construction time, thereby improving the time for simulating the performance parameters of the target battery cell and increasing the efficiency of battery cell simulation.

[0114] In one specific embodiment, the geometric configuration of the target battery cell is the geometric configuration of the target battery cell in its unfolded state. At this point, the electrochemical model is solved based on the geometric configuration to obtain the performance parameters of the target battery cell. Specifically, the geometric configuration is divided into several meshes; the electrochemical model is solved for each mesh to obtain the performance parameters of the target battery cell. On the one hand, electrochemical models typically involve complex partial differential equations, which are difficult to solve precisely by direct calculation, thus requiring numerical methods. Mesh generation is a crucial step in numerical solution, discretizing the continuous geometric configuration into a series of discrete points (nodes) and lines (elements) connecting these points, thereby facilitating numerical calculation. On the other hand, by performing detailed mesh generation on the battery cell's geometric configuration, more detailed information can be captured, thereby improving the accuracy of the calculation. Furthermore, in the electrochemical model, a series of boundary conditions and loads need to be applied, such as current density, potential distribution, and lithium-ion concentration; mesh generation allows these boundary conditions and loads to be easily applied to various parts of the model.

[0115] In one embodiment, the electrochemical model includes several equations. The solution process of the electrochemical model includes obtaining the boundary conditions of the target battery cell and solving the several equations based on the boundary conditions. Among them, the several equations include at least one of diffusion equation, potential equation and interface reaction equation. The diffusion equation includes at least one of solid-phase diffusion equation and liquid-phase diffusion equation. The solid-phase diffusion equation is used to describe the diffusion process of charge carriers inside the electrode active material particles, and the liquid-phase diffusion equation is used to describe the diffusion process of charge carriers in the electrolyte. The potential equation includes at least one of solid-phase potential equation and liquid-phase potential equation. The solid-phase potential equation is used to describe the potential distribution in the electrode active material particles, and the liquid-phase potential equation is used to describe the potential distribution in the electrolyte. The interface reaction equation is used to describe the change of current on the electrode with the motor potential.

[0116] On the one hand, as a set of partial differential equations describing the internal electrochemical processes of lithium-ion batteries, electrochemical models require boundary conditions to provide information about the solutions at the boundaries. These boundary conditions ensure that the solutions to the equations are physically reasonable and consistent with actual physical phenomena. On the other hand, boundary conditions are crucial for ensuring the uniqueness and stability of solutions during the solution process of electrochemical models. Without appropriate boundary conditions, electrochemical models may have multiple solutions, or the solutions may be unstable and fail to reflect the real physical processes. Furthermore, boundary conditions not only affect the electrochemical processes within the battery cell but also determine the interaction between the battery and external circuits. Therefore, accurate boundary conditions help to more accurately simulate the actual operating state of the battery cell, thereby obtaining more reliable simulation results.

[0117] In one embodiment, the boundary conditions used in solving the electrochemical model are related to the first tab parameter. By setting the boundary conditions to be related to the first tab parameter, the electrochemical model can more accurately simulate the electrochemical processes inside the cell under the first tab parameter; therefore, the performance parameters of the target cell obtained by solving the electrochemical model can more accurately reflect the performance of the target cell under the first tab parameter.

[0118] In one embodiment, the design parameters also include second tab parameters, and the boundary conditions used in solving the electrochemical model are related to the second tab parameters. By setting the boundary conditions to be related to the second tab parameters, the electrochemical model can more accurately simulate the electrochemical processes inside the cell under the second tab parameters; therefore, the performance parameters of the target cell obtained by solving the electrochemical model can more accurately reflect the performance of the target cell under the second tab parameters.

[0119] In one embodiment, the design parameters also include the main parameters of the battery cell, and the electrochemical model includes several equations, with at least one constant term in the equation related to the main parameters of the battery cell. By setting the constant term in at least one equation of the electrochemical model to be related to the main parameters of the battery cell, the electrochemical model can more accurately simulate the electrochemical processes inside the battery cell under the main parameters of the battery cell; therefore, the performance parameters of the target battery cell obtained by solving the electrochemical model can more accurately reflect the performance of the target battery cell under the main parameters of the battery cell.

[0120] In one specific embodiment, the main parameters of the battery cell include thickness parameters and battery cell material. The equations include a solid-phase diffusion equation, an electric potential equation, and an interface reaction equation. The solid-phase diffusion coefficient and solid-phase particle radius in the solid-phase diffusion equation, as well as the equilibrium potential in the interface reaction equation, are related to the battery cell material. At least one constant term in the electric potential equation is related to the thickness parameters.

[0121] In other words, when the cell's main parameters include thickness, it may affect the solid-phase diffusion coefficient and solid-phase diffusion particle radius in the solid-phase diffusion equation, as well as the equilibrium potential and cell material in the interface reaction equation. Furthermore, when the cell's main parameters include the cell material, it may affect the constant term in the potential equation.

[0122] Please see Figure 12 , Figure 12This is a schematic diagram of an embodiment of the battery cell simulation device provided in this application. The battery cell simulation device 120 includes an acquisition module 121 and a simulation module 122. The acquisition module 121 is used to acquire the design parameters of the target battery cell; wherein, the design parameters include first tab parameters, and the first tab parameters include at least one of the number of tabs, tab configuration characterization parameters, and tab state characterization parameters; the simulation module 122 is used to simulate the performance parameters of the target battery cell based on the design parameters of the target battery cell.

[0123] Among them, the above-mentioned tab configuration characterization parameters are used to characterize whether the tab configuration of the target cell is a full tab configuration or a half tab configuration; the tab status characterization parameters are used to characterize whether the target tab of the target cell is broken, and the target tab is preset or determined by the user.

[0124] The aforementioned design parameters also include at least one of the second tab parameters and the cell body parameters. The second tab parameters include at least one of the positive tab width, the negative tab width, and the tab center distance. The cell body parameters include at least one of the thickness parameters and the cell material. The thickness parameters include at least one of the positive current collector thickness, the negative current collector thickness, the separator thickness, the positive electrode thickness, and the negative electrode thickness.

[0125] The simulation module 122 is used to simulate and obtain the performance parameters of the target battery cell based on the design parameters of the target battery cell, including: obtaining the electrochemical model of the target battery cell; and solving the electrochemical model based on the design parameters to obtain the performance parameters of the target battery cell.

[0126] The simulation module 122 is used to, before solving the electrochemical model based on the design parameters to obtain the performance parameters of the target cell, include: constructing the geometric configuration of the target cell using the design parameters; and solving the electrochemical model based on the geometric configuration to obtain the performance parameters of the target cell.

[0127] The geometric configuration of the target battery cell is the geometric configuration of the target battery cell in its unfolded state; the simulation module 122 is used to solve the electrochemical model based on the geometric configuration to obtain the performance parameters of the target battery cell, including: dividing the geometric configuration into several grids; solving the electrochemical model for each grid to obtain the performance parameters of the target battery cell.

[0128] The electrochemical model includes several equations. The solution process of the electrochemical model includes obtaining the boundary conditions of the target battery cell and solving the several equations based on the boundary conditions. The several equations include at least one of diffusion equation, potential equation and interface reaction equation. The diffusion equation includes at least one of solid-phase diffusion equation and liquid-phase diffusion equation. The solid-phase diffusion equation is used to describe the diffusion process of charge carriers inside the electrode active material particles, and the liquid-phase diffusion equation is used to describe the diffusion process of charge carriers in the electrolyte. The potential equation includes at least one of solid-phase potential equation and liquid-phase potential equation. The solid-phase potential equation is used to describe the potential distribution in the electrode active material particles, and the liquid-phase potential equation is used to describe the potential distribution in the electrolyte. The interface reaction equation is used to describe the change of current on the electrode with the motor potential.

[0129] The boundary conditions used in solving the electrochemical model are related to the first tab parameter; and / or, the above design parameters also include the second tab parameter, and the boundary conditions used in solving the electrochemical model are related to the second tab parameter.

[0130] The design parameters mentioned above also include the main parameters of the battery cell. The electrochemical model includes several equations, and at least one constant term in the equation is related to the main parameters of the battery cell.

[0131] Among them, the main parameters of the battery cell include thickness parameters and battery cell material. Several equations include solid-phase diffusion equation, potential equation and interface reaction equation. The solid-phase diffusion coefficient and solid-phase particle radius in the solid-phase diffusion equation and the equilibrium potential in the interface reaction equation are related to the battery cell material. At least one constant term in the potential equation is related to the thickness parameter.

[0132] The aforementioned performance parameters include at least one of the following: lithium insertion capacity of the target cell, battery voltage, anode potential, current distribution, lithium plating window, and battery capacity.

[0133] The aforementioned tab configuration characterization parameters are used to characterize whether the tab configuration of the target battery cell is a full-tab configuration or a half-tab configuration. The target battery cell includes a first target battery cell characterized by a full-tab configuration and a second target battery cell characterized by a half-tab configuration. The battery cell simulation device 120 also includes an analysis module 123, which, after obtaining the performance parameters of the first and second target battery cells, includes: analyzing the impact of full-tab and half-tab configurations on the battery cell based on the differences between the performance parameters of the first and second target battery cells; and / or, the aforementioned design parameters also include battery cell body parameters, and the target battery cells include a third and a fourth target battery cell, the third... The target battery cell and the fourth target battery cell have different main battery cell parameters. After obtaining the performance parameters of the third target battery cell and the fourth target battery cell, the analysis module 123 includes: analyzing the impact of different battery cell systems on the battery cell based on the difference between the performance parameters of the third target battery cell and the fourth target battery cell; and / or, the above-mentioned tab state characterization parameters are used to characterize whether the target tab of the target battery cell is broken, the target battery cell includes the fifth target battery cell, and the tab state characterization parameters corresponding to the fifth target battery cell are used to characterize whether the target tab is broken; after obtaining the performance parameters of the fifth target battery cell, the analysis module 123 includes: analyzing the impact of tab breakage on the battery cell based on the performance parameters of the fifth target battery cell.

[0134] The aforementioned performance parameters include the anode potential at different locations of the target battery cell. The analysis module 123 is used to analyze the impact of tab breakage on the battery cell based on the performance parameters of the fifth target battery cell, including: in response to the presence of an abnormal location in the fifth target battery cell with an anode potential lower than a first potential value, determining that the abnormal location of the fifth target battery cell has a risk of lithium plating after tab breakage; and / or, the aforementioned performance parameters include the anode potential at different locations of the target battery cell, and the impact of tab breakage on the battery cell includes the presence of a risk of lithium plating at the abnormal location of the fifth target battery cell after tab breakage. The analysis module 123 is also used to: obtain the anode potential difference between the fifth target battery cell and the sixth target battery cell at the abnormal location, wherein the tab state characterization parameter corresponding to the sixth target battery cell is used to characterize that the target tab is not broken; in response to the anode potential difference being greater than a second potential value, determining that the risk value of lithium plating at the abnormal location is greater than a preset risk value.

[0135] The performance parameters of the target battery cell are the performance parameters of the target battery cell at different times under the preset working state; the battery cell simulation device 120 also includes a display module 124, which is used to display the performance parameters of the target battery cell at different times under the preset working state.

[0136] Please see Figure 13 , Figure 13This is a schematic diagram of an embodiment of the battery cell simulation device provided in this application. The battery cell simulation device 130 includes a memory 131 and a processor 132 coupled to each other. The processor 132 is used to execute program instructions stored in the memory 131 to implement the steps of any of the above-described battery cell simulation method embodiments. In a specific implementation scenario, the battery cell simulation device 130 may include, but is not limited to, a microcomputer or a server. In addition, the battery cell simulation device 130 may also include mobile devices such as laptops and tablets, which are not limited here.

[0137] Specifically, processor 132 controls itself and memory 131 to implement the steps of any of the above-described battery cell simulation method embodiments. Processor 132 can also be referred to as a CPU (Central Processing Unit). Processor 132 may be an integrated circuit chip with signal processing capabilities. Processor 132 can also be a general-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor or any conventional processor. Furthermore, processor 132 can be implemented using integrated circuit chips.

[0138] Please see Figure 14 , Figure 14 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. The computer-readable storage medium 140 of this application embodiment stores program instructions 141. When executed, these program instructions 141 implement the methods provided by any embodiment of the battery cell simulation method of this application and any non-conflicting combination thereof. The program instructions 141 can form a program file and be stored in the aforementioned computer-readable storage medium 140 in the form of a software product, so that a computer device (which may be a personal computer, server, or network device, etc.) can execute all or part of the steps of the methods of various embodiments of this application. The aforementioned computer-readable storage medium 140 includes various media capable of storing program code, such as a USB flash drive, mobile hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, or terminal devices such as computers, servers, mobile phones, and tablets.

[0139] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A cell simulation method, characterized in that, The method includes: Obtain the design parameters of the target battery cell; wherein, the design parameters include first tab parameters, and the first tab parameters include at least one of the number of tabs, tab configuration characterization parameters, and tab state characterization parameters; Based on the design parameters of the target battery cell, the performance parameters of the target battery cell were obtained through simulation.

2. The method according to claim 1, characterized in that, The electrode configuration characterization parameters are used to characterize whether the electrode configuration of the target cell is a full electrode configuration or a half electrode configuration; The electrode state characterization parameter is used to characterize whether the target electrode of the target cell is broken. The target electrode is preset or determined by the user.

3. The method according to claim 1, characterized in that, The design parameters also include at least one of the second tab parameters and the cell body parameters. The second tab parameters include at least one of the positive tab width, the negative tab width, and the tab center distance. The cell body parameters include at least one of the thickness parameters and the cell material. The thickness parameters include at least one of the positive current collector thickness, the negative current collector thickness, the separator thickness, the positive electrode thickness, and the negative electrode thickness.

4. The method according to claim 1, characterized in that, The simulation of the performance parameters of the target battery cell based on its design parameters includes: Obtain the electrochemical model of the target battery cell; The electrochemical model is solved based on the design parameters to obtain the performance parameters of the target battery cell.

5. The method according to claim 4, characterized in that, Before solving the electrochemical model based on the design parameters to obtain the performance parameters of the target battery cell, the method further includes: Using the aforementioned design parameters, the geometric configuration of the target battery cell is constructed; The electrochemical model is solved based on the geometric configuration to obtain the performance parameters of the target battery cell.

6. The method according to claim 5, characterized in that, The geometric configuration of the target battery cell is the geometric configuration of the target battery cell in its unfolded state; the electrochemical model is solved based on the geometric configuration to obtain the performance parameters of the target battery cell, including: The geometric configuration is divided into several grids; The electrochemical model is solved for each of the grids to obtain the performance parameters of the target battery cell.

7. The method according to claim 4, characterized in that, The electrochemical model includes several equations, and the solution process of the electrochemical model includes obtaining the boundary conditions of the target battery cell and solving the several equations based on the boundary conditions. The equations include at least one of diffusion equations, potential equations, and interfacial reaction equations. The diffusion equations include at least one of solid-phase diffusion equations and liquid-phase diffusion equations. The solid-phase diffusion equations describe the diffusion process of charge carriers within the particles of the electrode active material, and the liquid-phase diffusion equations describe the diffusion process of charge carriers in the electrolyte. The potential equations include at least one of solid-phase potential equations and liquid-phase potential equations. The solid-phase potential equations describe the potential distribution within the particles of the electrode active material, and the liquid-phase potential equations describe the potential distribution in the electrolyte. The interfacial reaction equations describe the change of current on the electrode with the motor potential.

8. The method according to claim 4, characterized in that, The boundary conditions used in solving the electrochemical model are related to the parameters of the first electrode. And / or, the design parameters also include second tab parameters, and the boundary conditions used by the electrochemical model in solving the model are related to the second tab parameters.

9. The method according to claim 4, characterized in that, The design parameters also include the main parameters of the battery cell, and the electrochemical model includes several equations, at least one of the constant terms in the equations being related to the main parameters of the battery cell.

10. The method according to claim 9, characterized in that, The main parameters of the battery cell include thickness parameters and battery cell material. The equations include a solid-phase diffusion equation, a potential equation, and an interface reaction equation. The solid-phase diffusion coefficient and solid-phase particle radius in the solid-phase diffusion equation, and the equilibrium potential in the interface reaction equation are related to the battery cell material. At least one constant term in the potential equation is related to the thickness parameters.

11. The method according to claim 1, characterized in that, The performance parameters include at least one of the following: lithium insertion capacity of the target cell, battery voltage, anode potential, current distribution, lithium plating window, and battery capacity.

12. The method according to claim 1, characterized in that, The tab configuration characterization parameter is used to characterize whether the tab configuration of the target cell is a full tab configuration or a half tab configuration. The target cell includes a first target cell characterized by a full tab configuration by the tab configuration characterization parameter and a second target cell characterized by a half tab configuration by the tab configuration characterization parameter. After obtaining the performance parameters of the first target battery cell and the performance parameters of the second target battery cell, the method further includes: Based on the differences between the performance parameters of the first target cell and the performance parameters of the second target cell, the influence of full-tab configuration and half-tab configuration on the cell is analyzed. And / or, the design parameters further include cell body parameters, the target cell includes a third target cell and a fourth target cell, the third target cell and the fourth target cell have different cell body parameters; after obtaining the performance parameters of the third target cell and the fourth target cell, the method further includes; Based on the differences between the performance parameters of the third target cell and the performance parameters of the fourth target cell, the influence of different cell systems on the cell is analyzed. And / or, the tab state characterization parameter is used to characterize whether the target tab of the target cell is broken, the target cell includes a fifth target cell, and the tab state characterization parameter corresponding to the fifth target cell is used to characterize whether the target tab is broken; after obtaining the performance parameters of the fifth target cell, the method further includes: Based on the performance parameters of the fifth target cell, the impact of target tab breakage on the cell was analyzed.

13. The method according to claim 12, characterized in that, The performance parameters include the anode potential at different locations of the target cell. The analysis of the impact of target tab breakage on the cell based on the performance parameters of the fifth target cell includes: In response to the presence of an abnormal location in the fifth target cell where the anode potential is lower than the first potential value, it is determined that the abnormal location of the fifth target cell after the target tab breaks poses a risk of lithium plating. And / or, the performance parameters include the anode potential at different locations of the target cell, the impact of the target tab breakage on the cell includes the risk of lithium plating at abnormal locations of the fifth target cell caused by the target tab breakage, and the method further includes: Obtain the anode potential difference between the fifth target cell and the sixth target cell at the abnormal location, wherein the tab state characterization parameter corresponding to the sixth target cell is used to characterize that the target tab is not broken; In response to the anode potential difference being greater than the second potential value, it is determined that the risk value of lithium plating at the abnormal location is greater than a preset risk value.

14. The method according to claim 1, characterized in that, The performance parameters of the target battery cell are the performance parameters of the target battery cell at different times under a preset operating state; the method further includes: This displays the performance parameters of the target battery cell at different times under a preset operating state.

15. A battery cell simulation device, characterized in that, The device includes: An acquisition module is used to acquire the design parameters of the target battery cell; wherein, the design parameters include first tab parameters, and the first tab parameters include at least one of the number of tabs, tab configuration characterization parameters, and tab state characterization parameters; The simulation module is used to simulate and obtain the performance parameters of the target battery cell based on the design parameters of the target battery cell.

16. A battery cell simulation device, characterized in that, The cell simulation device includes a memory and a processor. The memory stores program instructions, and the processor executes the program instructions to implement the cell simulation method as described in any one of claims 1 to 14.

17. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program instructions that can be executed to implement the cell simulation method as described in any one of claims 1 to 14.

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