Battery cell electrolyte simulation method and device and storage medium

Abstract

The invention discloses a battery cell electrolyte simulation method and device and a storage medium, and relates to the technical field of battery simulation, and the battery cell electrolyte simulation method comprises the following steps: obtaining pole piece attributes, electrolyte attributes and charging and discharging working conditions; determining simulation boundary conditions of a control equation according to the charging and discharging working conditions; and determining an electrolyte flow simulation result based on the simulation boundary condition, the pole piece attribute, the electrolyte attribute, the charging and discharging working conditions and the control equation. The technical problem that simulation results are low in robustness when only battery cell data exist due to the fact that simulation needs auxiliary porous medium images in related technologies is solved, and the technical effect of rapidly outputting accurate electrolyte simulation results is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of battery simulation, and in particular to a battery cell electrolyte simulation method, device and storage medium. BACKGROUND

[0002] If the negative electrode of a battery cell changes the crystal lattice during operation due to lithium intercalation, it will cause the material porosity to change, which in turn will cause the electrolyte to be "extruded" out of the battery cell, resulting in a local electrolyte deficiency. In order to analyze the electrolyte deficiency over time under various working conditions, it is necessary to simulate the flow of electrolyte in the battery cell. To this end, the technical solution mainly adopted in the related art is to pre-shoot a high-resolution porous medium image, and then use a large number of grid nodes to accurately simulate the electrolyte flow based on the porous medium image.

[0003] Therefore, the current simulation needs to be assisted by a porous medium image, and the simulation result is low in robustness when only battery cell data is available. SUMMARY

[0004] The main purpose of the present application is to provide a battery cell electrolyte simulation method, device and storage medium, which aims to solve the technical problem that simulation needs to be assisted by a porous medium image, and the simulation result is low in robustness when only battery cell data is available.

[0005] In a first aspect, the present application provides a battery cell electrolyte simulation method, which comprises:

[0006] obtaining electrode sheet attributes, electrolyte attributes and charging and discharging conditions;

[0007] determining simulation boundary conditions of a control equation according to the charging and discharging conditions;

[0008] determining an electrolyte flow simulation result based on the electrode sheet attributes, the electrolyte attributes and the charging and discharging conditions as inputs of the control equation, and the simulation boundary conditions as constraints of the control equation.

[0009] In the technical solution of the present application, by obtaining the electrode sheet attributes, the electrolyte attributes and the charging and discharging conditions, and combining the control equation and the boundary conditions, the flow of the electrolyte can be accurately simulated.

[0010] In some embodiments, the obtaining of the electrode sheet attributes, the electrolyte attributes and the charging and discharging conditions comprises:

[0011] based on user input parameters and / or preset parameters as the electrode sheet attributes, the electrolyte attributes and the charging and discharging conditions.

[0012] The technical scheme of the embodiment of the application determines the pole piece attribute, the electrolyte attribute and the charging and discharging condition through user input parameters, fills in the parameters through preset parameters when the user input data is not comprehensive, and the refined parameter acquisition method makes the simulation result more realistic and reliable, thereby improving the scientificity of battery design.

[0013] In some embodiments, the pole piece attribute includes at least one of a pole piece surface tension, a pole piece contact angle and a pole piece porosity, the electrolyte attribute includes at least one of an electrolyte viscosity and an electrolyte density, and the charging and discharging condition includes a charging rate or a discharging rate.

[0014] In the technical scheme of the embodiment of the application, the specific parameters of the pole piece attribute and the electrolyte attribute are defined, so that the performance of the battery under actual working conditions can be more accurately reflected.

[0015] In some embodiments, the control equation includes a whole control equation and a flow control equation, and the simulation boundary condition of the control equation determined according to the charging and discharging condition includes:

[0016] If the charging and discharging condition is a discharging rate, the upper boundary and the lower boundary of the whole control equation are determined as capillary pressure boundary conditions, the upper boundary of the flow control equation is determined as an air boundary condition, and the lower boundary of the flow control equation is determined as an electrolyte boundary condition;

[0017] If the charging and discharging condition is a charging rate, the upper boundary and the lower boundary of the whole control equation are determined as environment pressure boundary conditions, the upper boundary of the flow control equation is determined as a flow boundary condition, and the lower boundary of the flow control equation is determined as the electrolyte boundary condition.

[0018] In the technical scheme of the embodiment of the application, the boundary condition of the control equation is determined according to different charging and discharging conditions, so that the behavior of the electrolyte under different working states can be simulated in a targeted manner. This flexibility enables the simulation method to adapt to various charging and discharging scenarios, thereby improving the application range of the simulation.

[0019] In some embodiments, the initial parameters of the control equation are determined based on the pole piece attribute, the electrolyte attribute and the charging and discharging condition as inputs, and the electrolyte flow simulation result is determined by solving the control equation under the constraint of the simulation boundary condition.

[0020] The initial parameters of the control equation are determined based on the pole piece attribute, the electrolyte attribute and the charging and discharging condition as inputs;

[0021] The electrolyte flow simulation result is determined by solving the control equation according to the initial parameters under the constraint of the simulation boundary condition.

[0022] In the technical solution of the embodiment of the application, by taking the electrode sheet attribute, the electrolyte attribute and the charging and discharging working condition as initial parameters, the control equation is solved in combination with the boundary condition, and the electrolyte flow can be analyzed systematically. This method ensures the scientificity and systematicness of the simulation process, and helps to deeply understand the behavior of the electrolyte in the battery cell.

[0023] In some embodiments, the determining the electrolyte flow simulation result according to the initial parameters under the constraint of the simulation boundary condition comprises:

[0024] obtaining a set simulation time;

[0025] solving the control equation according to the initial parameters and the simulation boundary condition to determine a solution result;

[0026] recursively solving the control equation according to the solution result as an iteration parameter until the simulation time meets the set simulation time, and outputting the electrolyte flow simulation result.

[0027] In the technical solution of the embodiment of the application, the simulation time is set and the control equation is solved by iteration, and a dynamic electrolyte flow simulation result can be obtained. This iterative solving method improves the accuracy and stability of the simulation, and makes the result more timely and practical.

[0028] In some embodiments, the control equation comprises a whole control equation and a flow control equation, and the solving the control equation according to the initial parameters and the simulation boundary condition to determine a solution result comprises:

[0029] disassembling an electrolyte flow minimum period, and the flow minimum period is a five-layer structure of a positive electrode, a first gap, a separator, a second gap and a negative electrode;

[0030] respectively determining the flow control equation corresponding to each layer of the structure;

[0031] substituting the initial parameters into the whole control equation and the flow control equation, and solving under the constraint of the simulation boundary condition to determine the solution result.

[0032] In the technical solution of the embodiment of the application, the electrolyte flow is divided into multiple structure layers for solving, and the flow characteristics of each layer can be analyzed in more detail. This hierarchical solving method improves the fineness of the simulation, and makes the result more operable and instructive.

[0033] In some embodiments, the respectively determining the flow control equation corresponding to each layer of the structure comprises:

[0034] determining the surface tension, the contact angle, the porosity and the capillary force corresponding to each layer of the structure;

[0035] The flow control equation is determined according to the surface tension, the contact angle, the porosity, and the capillary force, in combination with a preset porous medium multiphase flow equation.

[0036] In the technical solution of the embodiments of the present application, the influence of different levels on the electrolyte flow is comprehensively considered by determining the flow control equation corresponding to each layer structure. This method enhances the comprehensiveness of the simulation, and makes the result more scientific.

[0037] In some embodiments, after the step of determining the electrolyte flow simulation result under the constraint of the simulation boundary condition according to the initial parameters, the method further comprises:

[0038] determining a vertical boundary of the electrolyte flow simulation result;

[0039] multiplexing the electrolyte flow simulation result according to the vertical boundary as a symmetry axis to determine an updated electrolyte flow simulation result.

[0040] In the technical solution of the embodiments of the present application, the calculation amount is effectively reduced and the simulation efficiency is improved by determining the vertical boundary of the electrolyte flow simulation result and performing symmetric multiplexing. This method optimizes the simulation process, so that the result can be obtained more quickly while maintaining accuracy.

[0041] In a second aspect, the present application provides an electrolyte simulation device for battery cell, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the electrolyte simulation method for battery cell.

[0042] In a third aspect, the present application provides a storage medium, which is a computer readable storage medium, and a program for implementing an electrolyte simulation method for battery cell is stored on the computer readable storage medium, and the program is executed by a processor to implement the steps of the electrolyte simulation method for battery cell.

[0043] The above description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the above description can be implemented according to the content of the specification, and in order to make the above and other purposes, characteristics and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0044] Various other advantages and benefits will become apparent to those of ordinary skill in the art, upon reading the following detailed description of the preferred embodiment. The accompanying drawings are included to provide a better understanding of the preferred embodiment, and are not intended to limit the scope of the application. Moreover, in the drawings, like reference numerals refer to similar components, and:

[0045] Figure 1 Flowchart for steps S10-S30 in one embodiment of the battery cell electrolyte simulation method of the present application;

[0046] Figure 2 Flowchart for electrolyte real-time distribution solving in one embodiment of the battery cell electrolyte simulation method of the present application;

[0047] Figure 3 Flowchart for steps S3221-S3223 in another embodiment of the battery cell electrolyte simulation method of the present application;

[0048] Figure 4 Schematic diagram of the contact angle between the gap and the separator and the negative electrode in yet another embodiment of the battery cell electrolyte simulation method of the present application;

[0049] Figure 5 Schematic diagram of the appearance of the wound battery cell in still another embodiment of the battery cell electrolyte simulation method of the present application;

[0050] Figure 6 Schematic diagram of the quarter-wound geometry in still another embodiment of the battery cell electrolyte simulation method of the present application;

[0051] Figure 7 Schematic diagram of the electrolyte flow simulation result in still another embodiment of the battery cell electrolyte simulation method of the present application;

[0052] Figure 8 Schematic diagram of the hardware structure involved in the battery cell electrolyte simulation device embodiment of the present application.

[0053] The object, functional features and advantages of the present application will be further described with reference to the embodiments, with reference to the accompanying drawings. DETAILED DESCRIPTION

[0054] The embodiments of the technical solutions of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and therefore only serve as examples, and cannot limit the protection scope of the present application.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of this application; the use of the terms "including," "comprising," or "having" and variations thereof herein is intended to be broad and encompass the terms "consisting of" and "consisting essentially of" and variations thereof. Unless otherwise noted, the terms "including" and "comprising" are open-ended and do not exclude the presence of unrecited elements or limitations.

[0056] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly and specifically limited.

[0057] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily independent or alternative embodiments to each other. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0058] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in this paper generally represents that the front and rear associated objects are a "or" relationship.

[0059] In the description of the embodiments of the present application, the term "a plurality of" refers to two or more (including two), and similarly, "a plurality of groups" refers to two or more groups (including two groups), and "a plurality of pieces" refers to two or more pieces (including two pieces).

[0060] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and therefore cannot be understood as limiting the embodiments of the present application. The orientation or position of the device or element indicated, and therefore cannot be understood as limiting the embodiments of the present application.

[0061] In the description of the embodiments of the present application, unless otherwise explicitly specified and limited, the technical terms "mounting", "connection", "connecting", "fixing" and the like should be understood in a broad sense, for example, can be fixed connection, can also be detachable connection, or integral; can be mechanical connection, can also be electrical connection; can be direct connection, can also be indirect connection through an intermediate medium, can be internal communication of two elements or interaction relationship between two elements. For those skilled in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0062] Currently, when the battery cell is running, the lattice changes due to the lithium insertion of the negative electrode, which causes the change of the material porosity. This will cause the electrolyte to be "extruded" out of the battery cell, resulting in local electrolyte loss, and in severe cases, even causing the battery cell to lithiumize and "dive".

[0063] In order to simulate the flow condition of the electrolyte of the battery cell, a high-resolution porous medium image is required in the related art, and a large number of grid nodes are required for accurate simulation, which results in low robustness of the electrolyte simulation result when only the battery cell data is missing.

[0064] The main solution of the present application is: obtaining the properties of the pole piece, the properties of the electrolyte and the charging and discharging working condition; determining the simulation boundary condition of the control equation according to the charging and discharging working condition; determining the electrolyte flow simulation result based on the simulation boundary condition, the properties of the pole piece, the properties of the electrolyte, the charging and discharging working condition and the control equation.

[0065] The present application determines different simulation boundary conditions based on the charging and discharging working condition, and simplifies the model of the wound battery cell, thereby solving the technical problem of low robustness of the electrolyte simulation result when only the battery cell data is missing in the related art, and thereby achieving the technical effect of improving the accuracy of the electrolyte flow simulation of the battery cell.

[0066] In a first aspect, an embodiment of the present application provides a battery cell electrolyte simulation method, please refer to Figure 1 In the present embodiment, the battery cell electrolyte simulation method comprises the following steps:

[0067] Step S10, obtaining the properties of the pole piece, the properties of the electrolyte and the charging and discharging working condition.

[0068] The execution subject of the embodiment can be an electrolyte simulation system of a battery cell, or a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, or an electrolyte simulation device capable of achieving the above functions, or an electronic device or a host computer capable of achieving the above functions, and the embodiment does not make specific limitations thereon. The host computer is taken as an example to describe the embodiment and the following embodiments.

[0069] The tab properties refer to physical and chemical properties of the electrode tab, including but not limited to at least one of tab surface tension, tab contact angle, tab porosity, permeability, and electrical conductivity. These properties affect the flow and reaction kinetics of the electrolyte in the electrode. The electrolyte properties include at least one of electrolyte viscosity, electrolyte density, and electrical conductivity, which determine the flow performance and ion transport efficiency of the electrolyte. The charge and discharge conditions describe the operating conditions during the battery charging process, including at least one of charging current, voltage, temperature, charge rate, and discharge rate. Different charge and discharge conditions will affect the flow and distribution of the electrolyte.

[0070] To improve the accuracy of the electrolyte simulation of the battery cell, the user input parameters and / or preset parameters are used as the tab properties, the electrolyte properties, and the charge and discharge conditions. The tab properties include at least one of tab surface tension, tab contact angle, and tab porosity. The electrolyte properties include at least one of electrolyte viscosity and electrolyte density. The charge and discharge conditions include charge rate or discharge rate. The user input parameters are the parameters input by the user.

[0071] To improve the accuracy of the user input parameters, before obtaining the tab properties, the electrolyte properties, and the charge and discharge conditions, a parameter input control is displayed on the interactive interface. The parameter input control displays an input window for each battery cell related parameter, so that the user can input the battery cell related parameters in the input window. After receiving the user input parameters, it is determined whether the user input parameters are complete, i.e., whether all types of sub-parameters of the tab properties, the electrolyte properties, and the charge and discharge conditions required for the electrolyte simulation of the battery cell are input completely. If they are complete, step S20 is executed. If they are not complete, the missing parameters are filled with preset parameters, and then the tab properties, the electrolyte properties, and the charge and discharge conditions are determined.

[0072] In this embodiment, a multi-layer electrolyte wetting model is constructed to predict the electrolyte wetting distribution during the cell's charging and discharging process in real time. By inputting the cell's geometry, electrode material, Young's modulus, electrolyte viscosity, electrolyte density, electrode surface tension, electrode contact angle, and electrode porosity, combined with the cell's operating conditions, the electrolyte wetting field of the cell can be obtained, thus visually demonstrating the flow of the electrolyte under various charging and discharging conditions. Furthermore, users can use the model's output results to determine if there is a risk of localized electrolyte insufficiency, thereby adjusting the cell design accordingly.

[0073] Step S20: Determine the simulation boundary conditions of the control equations based on the charging and discharging conditions.

[0074] The governing equations simulate the electrolyte flow. Using input electrode properties, electrolyte properties, and charge / discharge conditions as input parameters, the equations progressively simulate the electrolyte flow within the battery cell. Simulation boundary conditions are the boundary conditions of the governing equations based on the charge / discharge conditions. These typically include pressure or flow velocity conditions on the upper and lower surfaces of the battery cell to ensure that the simulation results accurately reflect the dynamic behavior of the electrolyte during actual charging.

[0075] To improve the accuracy of electrolyte simulation, the governing equations are constrained by simulation boundary conditions to ensure that the electrolyte simulation does not exceed the physical limits of the battery cell. Charge / discharge conditions include either charging rate or discharging rate. If the charge / discharge condition is a charging rate, the simulation represents a charging process; if it is a discharging rate, the simulation represents a discharging process. The charging process has corresponding first simulation boundary conditions, and the discharging process has corresponding second simulation boundary conditions.

[0076] Electrolytes exhibit different physical and dynamic characteristics under different charge and discharge conditions. By applying different simulation boundary conditions through charge and discharge conditions, the simulation boundary conditions become more consistent with actual usage, thereby improving the accuracy of electrolyte simulation.

[0077] Step S30: Based on the electrode properties, electrolyte properties, and charge / discharge conditions as input parameters for the control equation, and constraining the control equation with the simulation boundary conditions, iteratively determine the electrolyte flow simulation results.

[0078] The simulation results of electrolyte flow show the distribution of electrolyte within the battery cell. The format in which this is presented is not limited.

[0079] To improve the accuracy of electrolyte simulation, the electrode properties, electrolyte properties, and charge-discharge conditions are input as initial parameters to control equations for iteration. During the iteration process, the simulation boundary conditions are used as constraints to limit the flow range of the electrolyte. The simulation time is preset, and if the current simulation time meets the preset simulation time, the electrolyte flow simulation result is output. At the same time, the electrolyte flow simulation results of each simulation node are also stored.

[0080] For ease of understanding, the following is illustrated by way of example, but does not limit the present application. As an example, refer to Figure 2 The electrode properties, electrolyte properties, and charge-discharge conditions are input as initial parameters to control equations for iteration. The electrode properties include surface tension, contact angle, and porosity, the electrolyte properties include viscosity and density, and the charge-discharge conditions include charge rate or discharge rate. During the iteration process, the simulation boundary conditions are used as constraints, and the simulation time is set to 4 hours. Then, according to the control equation, the iteration is continuously carried out, and the results of each simulation node are output. The simulation node is any time point before the simulation time is set. At this time, the charge-discharge condition is the charge rate, and the simulation is the charging process. The battery is full at 3 hours and 40 minutes, and the output electrolyte flow simulation result is the electrolyte state after 20 minutes of standing after charging is completed. At the same time, based on the user input simulation node, the electrolyte flow simulation result corresponding to any simulation node can be determined to intuitively reflect the distribution state of the electrolyte in the battery at each time point, and then the real-time distribution of the electrolyte in the multi-layer electrode is obtained.

[0081] To improve the speed of electrolyte simulation, Darcy's equation combined with porous medium equation is used as control equation. Darcy's equation describes the flow of fluid in porous media, while the porous medium equation considers the pore structure and permeability of the medium. Numerical simulation is carried out using control equations and boundary conditions to calculate the flow of electrolyte inside the battery under different charge-discharge conditions. Considering the symmetry of the wound battery, only one corner area of the battery is calculated, and then the obtained results are extended to the entire battery through symmetry.

[0082] By obtaining parameters such as surface tension, contact angle, porosity of the electrode sheet, and viscosity, density of the electrolyte, and charging and discharging conditions such as discharge rate, the simulation model can more comprehensively reflect the actual situation inside the battery cell. These parameters directly affect the flow of electrolyte in the electrode and the reaction kinetics, thereby improving the accuracy of the simulation results. By constructing a multi-layer electrolyte infiltration model, the distribution of electrolyte during charging and discharging can be predicted in real time. This helps engineers understand the dynamic changes inside the battery cell in a timely manner, optimizing the design and manufacturing process. According to different charging and discharging conditions, set the corresponding simulation boundary conditions to ensure that the simulation process does not exceed the physical range of the battery cell. For example, when the charging and discharging condition is the charging rate, the first simulation boundary condition is used; when the charging and discharging condition is the discharging rate, the second simulation boundary condition is used. This distinction makes the simulation process more consistent with actual use, improving the accuracy of the simulation. At the same time, considering the symmetry of the wound battery cell, only one corner area of the battery cell is calculated, and the results obtained are then extended to the entire battery cell through symmetry. This method greatly reduces the amount of calculation and improves the speed of simulation. By using Darcy's equation combined with the porous medium equation as the control equation, the flow of fluid in porous media can be more accurately described. This equation combination takes into account the pore structure and permeability of the medium, making the simulation results more reliable. Thus, the technical problem of low robustness of electrolyte simulation results when only battery cell data is available is solved, and the technical effect of quickly outputting accurate electrolyte simulation results is achieved.

[0083] In some embodiments, with reference to Figure 2 In this embodiment, step S20 includes:

[0084] Step S21, if the charging and discharging condition is the discharging rate, determining that the upper boundary and the lower boundary of the overall control equation are capillary pressure boundary conditions, determining that the upper boundary of the flow control equation is an air boundary condition, and determining that the lower boundary of the flow control equation is an electrolyte boundary condition.

[0085] The control equation includes an overall control equation and a flow control equation. The charging rate refers to the ratio of the current required to charge a battery to its rated capacity within a specified time. It is usually represented by "C", where "1C" represents the current required to fully charge the battery in 1 hour. For example, a 2000mAh battery charged at a rate of 1C means that 2000mA of current is required to fully charge the battery in 1 hour. The charging rate can be calculated by the following formula: charging rate = charging current / battery capacity. For example, if a battery has a capacity of 2000mAh and is charged with a current of 4000mA, the charging rate is: charging rate = 4000mA / 2000mAh = 2C. This means that the battery will be fully charged in 30 minutes, i.e. a charging rate of 2C means that the battery will be fully charged in 1 / 2 hour.

[0086] To improve the simulation accuracy of the electrolyte under the charge and discharge condition, the upper boundary and the lower boundary of the overall control equation are determined as the capillary pressure boundary condition. During the simulation process, the upper and lower boundaries of the battery cell will be affected by the capillary pressure, which will affect the flow and distribution of the electrolyte in the electrode. The upper boundary of the flow control equation is determined as the air boundary condition. During the simulation process, the upper boundary of the battery cell will be in contact with the air, and the influence of the air on the flow of the electrolyte needs to be considered. The lower boundary of the flow control equation is determined as the electrolyte boundary condition. During the simulation process, the lower boundary of the battery cell will be filled with electrolyte, and the influence of the physical properties of the electrolyte on the flow needs to be considered.

[0087] Step S22, if the charge and discharge condition is the charge rate, the upper boundary and the lower boundary of the overall control equation are determined as the environmental pressure boundary condition, the upper boundary of the flow control equation is determined as the flow boundary condition, and the lower boundary of the flow control equation is determined as the electrolyte boundary condition.

[0088] The discharge rate refers to the ratio of the current output by the battery when discharging to its terminal voltage within a specified time to the rated capacity of the battery. Also represented by "C", where "1C" represents the current required to discharge the battery in 1 hour. For example, a 2000mAh battery discharged at a rate of 1C means that 2000mA of current is required to discharge the battery in 1 hour. The discharge rate can be calculated by the following formula: discharge rate = discharge current / battery capacity. For example, if the capacity of a battery is 2000mAh, and a current of 2000mA is used for discharge, then the discharge rate is: discharge rate = 2000mA / 2000mAh = 1C. This means that the battery will be discharged in 1 hour.

[0089] To improve the simulation accuracy of the electrolyte under the discharge condition, the upper boundary and the lower boundary of the overall control equation are determined as the environmental pressure boundary condition. During the simulation process, the upper and lower boundaries of the battery cell will be affected by the environmental pressure, which will affect the flow and distribution of the electrolyte in the electrode. The upper boundary of the flow control equation is determined as the flow boundary condition. During the simulation process, the upper boundary of the battery cell will be subject to certain flow restrictions, which will affect the inflow and outflow speed of the electrolyte. The lower boundary of the flow control equation is also determined as the electrolyte boundary condition. During the simulation process, the lower boundary of the battery cell will be filled with electrolyte, and the influence of the physical properties of the electrolyte on the flow needs to be considered.

[0090] For the convenience of understanding, the following is illustrated by way of example, but does not limit the present application. As an example, the overall control equation adopts the Darcy equation, and the flow control equation adopts the porous medium multiphase flow equation. Therefore, if it is determined according to the charge-discharge working condition that it is in the discharging process, in the Darcy equation, the upper and lower surfaces of the cell adopt the capillary pressure boundary condition. In the porous medium multiphase flow equation, the upper surface of the cell adopts the air boundary condition, and the lower surface adopts the electrolyte boundary condition. If it is determined according to the charge-discharge working condition that it is in the charging process, in the Darcy equation, the upper and lower surfaces of the cell adopt the ambient pressure boundary condition. In the porous medium multiphase flow equation, the upper surface of the cell selects the flow boundary condition; the lower surface is still considered to be in contact with the electrolyte, and selects the electrolyte boundary condition.

[0091] Since the corresponding simulation boundary conditions are selected according to different charge-discharge working conditions, and the control equation adopts the combination of the overall control equation and the flow control equation, the two control equations are provided with more suitable simulation boundary conditions under each charge-discharge working condition, and the accuracy of the electrolyte flow simulation is improved.

[0092] In some embodiments, with reference to Figure 2 In this embodiment, step S30 comprises:

[0093] Step S31, based on the tab attribute, the electrolyte attribute and the charge-discharge working condition as the initial parameters of the control equation.

[0094] The initial parameters are the input values of the control equation in the initial iteration.

[0095] In order to improve the authenticity of the electrolyte flow simulation, the tab attribute directly affects the flow and distribution state of the electrolyte in the electrode. The electrolyte attribute determines the flow performance and heat transfer performance of the electrolyte. The charge-discharge working condition is, for example, the discharge rate or the charge rate. Different charge-discharge working conditions will lead to different electrolyte flow states and distribution situations. The control equation includes the overall control equation and the flow control equation. The overall control equation is used to describe the overall flow and distribution situation in the cell. It considers the influence of the structure of the cell, the material attribute and the external conditions on the electrolyte flow. The flow control equation is the porous medium multiphase flow control equation, which is specially used to describe the multiphase flow problem in the porous medium. It considers the influence of the pore structure, the interaction between the fluid phases and the interaction between the fluid and the solid phase on the electrolyte flow. Therefore, after determining the tab attribute, the electrolyte attribute, the charge-discharge working condition, and the cell geometric size, the tab material, the tab Young's modulus according to the user input parameters and / or the preset parameters, the above parameters are taken as the initial parameters of the control equation.

[0096] For the convenience of understanding, the following is illustrated by way of example, but does not limit the present application. As an example,

[0097] Since the entire wetting process involves slow flow, the overall governing equations are determined based on Darcy's law:

[0098]

[0099] Where: u is the equivalent flow rate of the fluid; k is the overall permeability of the porous electrode; μ is the viscosity of the wetting fluid, taken as the viscosity of the electrolyte; Pressure difference between the two sides; ρ is the electrolyte density; g is the local gravitational acceleration.

[0100] The cell problem falls under the category of multiphase flow problems. Its driving force is the electrolyte extrusion and reabsorption caused by changes in porosity. Therefore, the multiphase flow equation for porous media is as follows:

[0101] p ec =2*σ*cos(θ) / R c

[0102]

[0103] In the formula: p ec The inlet capillary pressure is determined by the porous medium; p c This term represents the capillary pressure. It indicates that the inlet capillary pressure needs to be corrected for the saturation index before it can be converted into the pressure required for actual calculation. Here, λ... p These are preset parameters; σ and θ represent the surface tension of the electrode and the contact angle between the electrode and the page, respectively, i.e., the electrode contact angle; R c S represents the equivalent pore radius of the electrode, which is related to the internal structure of the porous electrode; W ε represents electrolyte saturation. p Electrode porosity; ρ si The density of the component is si; the degree of component saturation is ; u si The equivalent flux rate for each component is given. Therefore, all or part of the parameters in the above governing equations are user input parameters and preset parameters, that is, the initial parameters for iterating the governing equations are determined based on user input parameters and / or preset parameters.

[0104] Iterative calculations can reveal the flow and distribution of the electrolyte within the battery cell. This step is crucial to the entire simulation process, requiring precise setting of initial parameters and boundary conditions to ensure the accuracy and reliability of the calculation results.

[0105] Step S32: Under the constraints of the simulation boundary conditions, solve the control equations according to the initial parameters to determine the simulation results of the electrolyte flow.

[0106] Solving the governing equations based on initial parameters and simulation boundary conditions is a dynamic process. The solution result at the previous calculation time is used as the equation input value at the next calculation time, thus achieving iteration.

[0107] For ease of understanding, the following is illustrated, but does not limit the present application. As an example, the charge-discharge condition is the charge rate, which indicates that the simulation is the charging process, and thus the initial parameters of the control equation are determined according to the electrode properties, electrolyte properties, and charge-discharge condition. Both the Darcy equation and the porous medium multiphase flow equation are considered. In the Darcy equation, the simulation boundary condition is the ambient pressure boundary condition on the upper and lower surfaces of the battery cell, i.e., the charging process is outward expansion, and the external surface pressure comes from the environment. In the porous medium multiphase flow equation, the upper surface of the battery cell selects the flow boundary condition; the lower surface is still considered to be in contact with the electrolyte, and the electrolyte boundary condition is selected. The Darcy equation considers the overall flow situation, while the porous medium multiphase flow equation considers the flow of electrolyte through each layer of porous medium. Taking a wound battery cell as an example, as shown in the figure, there are multiple circulation structures inside the wound battery cell. After decomposition, the minimum cycle unit is: copper current collector - negative electrode - separator - positive electrode - aluminum current collector. The two kinds of current collectors of the positive and negative electrodes "cut off" the channel of the battery cell. Therefore, the minimum wetting cycle can be divided into the part between the two layers of current collectors, i.e., the negative electrode - the separator - the positive electrode. Therefore, the porous medium is the negative electrode, the separator, and the positive electrode, each of which has a corresponding porous medium multiphase flow equation. The overall Darcy equation and the multiphase flow equation of each porous medium are considered, and then the initial parameters are combined to iteratively solve the simulation results of the electrolyte flow.

[0108] In the technical solution of the embodiments of the present application, the electrode properties, electrolyte properties, and charge-discharge condition are used as initial parameters, and the boundary conditions are used to solve the control equation, which can systematically analyze the electrolyte flow. This method ensures the scientificity and systematicness of the simulation process, which helps to deeply understand the behavior of the electrolyte in the battery cell.

[0109] In some embodiments, with reference to Figure 2 In this embodiment, step S32 comprises:

[0110] Step S321 acquires the set simulation time.

[0111] The set simulation time is a simulation cutoff condition set by the user, which is the time to simulate the normal operation of the battery.

[0112] In order to ensure that the simulation results meet the user's needs, if the user inputs the simulation time, the user input is used as the set simulation time. If no user input is detected, the preset time is used as the set simulation time, including any time between 0 and 24 hours.

[0113] Step S322 solves the control equation according to the initial parameters and the simulation boundary conditions to determine the solution.

[0114] Step S323, according to the solving result as an iterative parameter, the control equation is solved in a loop until the simulation time meets the set simulation time, and the electrolyte flow simulation result is output.

[0115] The solving result is a single output result of the control equation. The iterative parameter is an input parameter of the control equation in the iteration process, that is, the solving result at the last calculation time is taken as the iterative parameter, and is solved as the input parameter of the control equation at the next calculation time. The simulation time is the working time of the battery that has been simulated in the simulation process.

[0116] In order to make the simulation result adapt to the user's demand, the pole piece attribute, the electrolyte attribute and the charging and discharging working condition are obtained, the pole piece attribute includes but is not limited to the material, thickness, porosity and the like of the pole piece. The electrolyte attribute includes the viscosity, density, conductivity and the like of the electrolyte. The charging and discharging working condition includes the charging current, charging voltage, temperature and the like. According to the charging and discharging working condition, the boundary condition of the electrolyte flow is set, such as the inlet flow rate, outlet pressure, wall condition and the like. The pole piece attribute, the electrolyte attribute and the charging and discharging working condition are taken as the initial parameter of the control equation. According to the initial parameter and the simulation boundary condition, the control equation is solved to obtain the preliminary simulation result of the electrolyte flow. The set simulation time is obtained, the control equation is solved in a loop, the solving result is used as the iterative parameter, and finally the electrolyte flow simulation result is output until the simulation time meets the set value.

[0117] In order to facilitate understanding, the following is illustrated by way of example, but does not limit the present application. As an example, taking a lithium ion battery as an example, the pole piece material is graphite, the thickness is 50 μm, and the porosity is 30%. The electrolyte is an organic solvent containing LiPF6, the viscosity is 1.2 mPa·s, the density is 1.1 g / cm 3 The charging current is set to 1C, the charging voltage is 4.2V, and the temperature is 25℃. The inlet flow rate is set to 0.1 m / s, the outlet pressure is set to normal pressure, and the wall condition is set to no slip condition. The above parameters are taken as the initial parameters, substituted into the control equation, and the preliminary electrolyte flow distribution is obtained. The simulation time is set to 300 seconds, the control equation is solved in a loop, the iterative parameter is updated, and finally the stable state of the electrolyte flow is obtained.

[0118] Due to the adoption of the combination of multiple control equations, the comprehensive description of the electrolyte flow is realized by combining different control equations, the boundary condition is flexibly set according to the actual charging and discharging working condition, and the accuracy of the simulation result is improved.

[0119] In the technical scheme of the embodiment of the present application, the simulation time is set and the control equation is solved by iteration, so that the dynamic electrolyte flow simulation result can be obtained. This iterative solving method improves the precision and stability of the simulation, so that the result is more time-effective and practical.

[0120] In some possible embodiments, referring to Figure 3 , step S322 comprises:

[0121] Step S3221, disassembling electrolyte flow minimum cycle, the flow minimum cycle is the five-layer structure of positive electrode, first gap, diaphragm, second gap and negative electrode.

[0122] The electrolyte flow minimum cycle refers to the electrolyte flow minimum unit simulated by the present scheme, that is, the electrolyte flows in the positive electrode, the first gap, the diaphragm, the second gap and the negative electrode, and then several electrolyte flow minimum cycles are combined into the electrolyte flow in the whole battery. The positive electrode is the electrode responsible for the oxidation reaction in the battery, usually composed of lithium-containing compounds. During the charging process, lithium ions migrate from the negative electrode to the positive electrode and combine with electrons there to form lithium compounds. The performance of the positive electrode directly affects the energy density, cycle life and safety of the battery. The first gap refers to the space between the positive electrode and the diaphragm. During the charging and discharging process of the battery, the electrolyte flows in this gap to provide a transmission channel for lithium ions. The design of the first gap affects the flowability of the electrolyte and the ion transmission efficiency, thereby affecting the overall performance of the battery. The diaphragm is a porous material located between the positive electrode and the negative electrode, and its main function is to prevent the electrodes from directly contacting and causing short circuit, while allowing lithium ions to pass through. The pore structure, thickness and material properties of the diaphragm have important influence on the ion conductivity, thermal stability and safety of the battery. The second gap refers to the space between the diaphragm and the negative electrode, similar to the first gap, the electrolyte flows in this gap to promote the transmission of lithium ions. The design of the second gap also affects the ion transmission efficiency and overall performance of the battery. The negative electrode is the electrode responsible for the reduction reaction in the battery, usually composed of graphite or other carbon-based materials. During the charging process, lithium ions migrate from the positive electrode to the negative electrode and are embedded in the negative electrode material. The performance of the negative electrode affects the charging and discharging rate, energy density and cycle stability of the battery.

[0123] In order to ensure the integrity of the model mechanism, the "gap" is regarded as a kind of porous material. After decomposition, the minimum cycle unit is: copper current collector - negative electrode - separator - positive electrode - aluminum current collector. The positive and negative current collectors will cut off the channel of the cell infiltration. Therefore, the minimum infiltration cycle can be divided into the part between the two layers of the current collector. And, since the positive and negative current collectors will not participate in the infiltration process, the model is further simplified to a five-layer model of the positive electrode - the first gap - the separator - the second gap - the negative electrode structure. Considering that there is a "gap" on the solid-solid interface of the actual cell material, which may appear at the interface of the separator - negative electrode or positive electrode, the structure needs to be processed in the model. This is the first innovation of the model, which introduces the influence of the gap. In the model, in order to ensure the integrity of the model mechanism, the "gap" is regarded as a kind of porous material. In actual circulation, the gap will be enlarged and contracted with the cycle and external stress. In the model, it is realized by changing the porosity of the porous medium. After determining the description of the gap, the performance of the gap is analyzed. The main parameters of the gap determined are capillary force, surface tension, contact angle, etc. The essence of the gap is the space formed by two rough surfaces. Therefore, in the model, the calculation of the capillary force of the gap needs to consider the adjacent two interfaces. The formula of the capillary force F is as follows:

[0124] F = πR c cos(θ neg )γ neg + πR c cos(θ sep )γ sep

[0125] Referring to Figure 4 , in the formula, θ neg , θ sep are the contact angles of the negative electrode and the separator, γ neg , γ sep are the surface tensions of the negative electrode and the separator, and R c is the equivalent pore radius of the gap gap. The capillary force of the gap can be calculated by the above formula.

[0126] Since the characteristics of each porous medium affect the flow equation of the fluid, different flow control equations are established for each medium, so as to better understand and predict the flow behavior of the electrolyte in different porous media.

[0127] Step S3222, respectively determining the flow control equation corresponding to the structure of each layer.

[0128] The structure refers to the positive electrode, the first gap, the separator, the second gap, or the negative electrode. The flow control equation is the multiphase flow equation of the porous medium.

[0129] In order to accurately predict the flow of electrolyte between each porous medium, therefore, after determining the five-layer structure, the surface tension, contact angle, and porosity of each layer are determined, and then substituted into the multiphase flow equation of the porous medium to determine the corresponding flow control equation of each layer.

[0130] In step S3223, the initial parameters are substituted into the overall control equation and the flow control equation, and the solving result is determined under the constraint of the simulation boundary conditions.

[0131] In order to accurately simulate the flow of electrolyte, the electrolyte flow in the battery is divided into five main layers: positive electrode, first gap, separator, second gap, and negative electrode. The flow characteristics of each layer may differ due to differences in materials and geometric shapes. For each layer structure, a corresponding flow control equation is established. Darcy's equation is typically used to describe the overall flow of electrolyte, combined with the multiphase flow equation to describe the flow of electrolyte in porous media. Initial parameters such as the density, viscosity, and flow velocity of the electrolyte are determined based on user input parameters and / or preset parameters. These parameters will be substituted into the overall control equation and the flow control equation of each layer. According to the working conditions of the actual battery, the simulation boundary conditions of each control equation are set, which will affect the solving result of the flow. Numerical methods such as finite element method, finite difference method or computational fluid dynamics software are used to solve the overall control equation and the flow control equation of each layer. Through iterative calculation, the flow distribution, velocity field and pressure field of the electrolyte in each layer are obtained. The solving result is analyzed to evaluate the flow characteristics of the electrolyte inside the battery, identify possible flow dead zones, flow unevenness, electrolyte unsaturation, and propose corresponding optimization suggestions.

[0132] For ease of understanding, the following examples are provided, but do not limit the present application. As an example, the battery design includes LiCoO2 as the positive electrode material, graphite as the negative electrode material, and polyethylene as the separator. The electrolyte is LiPF6 dissolved in carbonate solvent. The five-layer structure of the battery is set: positive electrode (LiCoO2), first gap, separator (PE), second gap, and negative electrode (graphite). For the overall flow, Darcy's equation is used to describe the flow of electrolyte.

[0133] For each layer of porous medium, i.e. positive electrode, first gap, separator, second gap, and negative electrode, the multiphase flow equation is considered. The initial parameters include but are not limited to electrolyte density: ρ = 1.2 kg / m 3 ; electrolyte viscosity: μ = 0.001 Pa·s; initial flow rate: u = 0.01 m / s; simulation boundary conditions of each control equation are determined, and the above parameters and boundary conditions are input for numerical solving. Through grid division, the accuracy of the flow characteristics in each layer structure is ensured.

[0134] In the technical solutions of the embodiments of the present application, the electrolyte flow is divided into multiple structural levels for solving, so that the flow characteristics of each layer can be analyzed in more detail. This layered solving method improves the simulation accuracy, and makes the results more operable and instructive.

[0135] In some embodiments, step S3222 comprises:

[0136] Step S32221 determines the surface tension, contact angle, porosity and capillary force corresponding to each layer of the structure.

[0137] Step S32222 determines the flow control equation according to the surface tension, contact angle, porosity and capillary force, in combination with a preset porous medium multiphase flow equation.

[0138] Surface tension: Surface tension refers to the mutual attraction between surface molecules of a liquid, which determines the size of the surface tension of the liquid. In this step, the surface tension value corresponding to each layer of structure needs to be obtained through experiments or by consulting literature. Contact angle: Contact angle refers to the angle between the liquid and the solid surface, which reflects the wetting degree of the liquid to the solid surface. In this step, the contact angle value corresponding to each layer of structure needs to be obtained through experiments or by consulting literature. Porosity: Porosity refers to the proportion of pore volume in the total volume in a porous medium, which directly affects the flow characteristics of the liquid in the porous medium. In this step, the porosity value corresponding to each layer of structure needs to be obtained through experiments or by consulting literature. Capillary force: Capillary force refers to the force experienced by the liquid when it rises or falls in a fine tube, which is related to the surface tension and contact angle of the liquid. In this step, the capillary force corresponding to each layer of structure needs to be calculated according to the surface tension, contact angle and porosity.

[0139] In order to accurately predict the flow state of the electrolyte, the flow control equation is determined according to the surface tension, contact angle, porosity and capillary force, in combination with a preset porous medium multiphase flow equation. The porous medium multiphase flow equation is a mathematical model describing the flow of multiphase fluid in a porous medium, which considers factors such as pore structure, interaction between fluid phases, and interaction between fluid and solid phases affecting the flow. In this step, the flow control equation needs to be constructed according to the preset porous medium multiphase flow equation. The flow control equation is a mathematical expression determined according to parameters such as surface tension, contact angle, porosity and capillary force, which describes the flow of the liquid in each layer of structure. In this step, the parameters such as surface tension, contact angle, porosity and capillary force are substituted into the porous medium multiphase flow equation, so as to obtain the flow control equation.

[0140] The technical scheme of the embodiment of the application can comprehensively consider the influence of different levels on the electrolyte flow by determining the flow control equation corresponding to each layer structure. This method enhances the comprehensiveness of the simulation, and makes the result more scientific.

[0141] In some embodiments, after step S32, the following steps are included:

[0142] Step S33, determining the vertical boundary of the electrolyte flow simulation result.

[0143] The vertical boundary is a straight line perpendicular to each other.

[0144] In order to improve the efficiency of the electrolyte flow simulation, after determining the five-layer structure of the electrolyte flow minimum cycle, i.e., the positive electrode, the first gap, the separator, the second gap, and the negative electrode, the symmetry of the whole winding cell is further considered. The winding cell is as shown in Figure 5 , the outer contour of the electrolyte flow is abstracted, which is a central symmetric figure, so it can be reduced to a 1 / 4 model, as shown in Figure 6 , and a part of the calculation amount is reduced. Therefore, taking the upper left corner of the winding cell as an example, the electrolyte flow simulation result is the upper left corner of the cell. Further, two vertical boundaries of the electrolyte flow simulation result are determined.

[0145] Step S34, multiplexing the electrolyte flow simulation result based on the vertical boundary as the symmetry axis to determine the updated electrolyte flow simulation result.

[0146] Symmetry axis multiplexing refers to determining a mirror image based on the symmetry axis, and then splicing the mirror image with the original result.

[0147] In order to improve the efficiency of the electrolyte flow simulation, after determining the two vertical boundaries of the electrolyte flow simulation result, the two vertical boundaries are respectively used as symmetry axes for multiplexing, and then the mirror image is spliced with the original electrolyte flow simulation result to obtain the updated electrolyte flow simulation result.

[0148] In order to facilitate understanding, the following examples are given, but the application is not limited thereto. As an example, refer to Figure 7 , Figure 7 The simulation of the electrolyte flow in the discharge state is shown. Among them, the simulation time is set to 2000 seconds after stopping discharging. Therefore, as shown in Figure 7 (5) is the final simulation result. Figure 7 (1) is the simulation result at the discharging moment t0; Figure 7 (2) is the simulation result at the discharging moment t1; Figure 7 (3) is the simulation result at the discharging moment t2; Figure 7(3) is the simulation result of the discharge moment t3. The top electrolyte will appear an unsaturated area with the pore expansion during the discharge process. And the area and unsaturation of the area will expand and decrease with time Figure 7 (1)- Figure 7 (4). And the most deteriorated value appears at the corner of the battery cell, i.e. Figure 7 (4). After the discharge, the battery cell is static, and the saturation of the battery cell will rise due to the capillary action, as shown in Figure 8 (5).

[0149] In the technical solution of the embodiment of the application, the vertical boundary of the electrolyte flow simulation result is determined and symmetric multiplexing is performed, so that the calculation amount can be effectively reduced and the simulation efficiency can be improved. This method optimizes the simulation process, so that the result can be obtained more quickly while the accuracy is maintained.

[0150] In a second aspect, the embodiment of the application provides a battery cell electrolyte simulation device. The battery cell electrolyte simulation device comprises at least one processor and a memory in communication connection with the at least one processor. The memory stores instructions executable by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the battery cell electrolyte simulation method in the above-mentioned embodiment one.

[0151] Reference will be made to Figure 8 which shows a structural schematic diagram of a battery cell electrolyte simulation device suitable for being used to implement the embodiment of the application. The battery cell electrolyte simulation device in the embodiment of the application can include but is not limited to mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (Personal Digital Assistant), PADs (Portable Application Description), PMPs (Portable Media Player), vehicle-mounted terminals (such as vehicle-mounted navigation terminals) and the like, and fixed terminals such as digital TVs, desktop computers and the like. Figure 8 The battery cell electrolyte simulation device shown is only an example, and should not bring any limitation to the functions and use range of the embodiment of the application.

[0152] As ​As shown, the battery electrolyte simulation device can include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.) that can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 1002 or programs loaded from a storage device 1003 into a random access memory (RAM) 1004. Various programs and data required for the operation of the battery electrolyte simulation device are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; the storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the battery electrolyte simulation device to communicate with other devices wirelessly or by wire to exchange data. Although the battery electrolyte simulation device with various systems is shown in the figure, it should be understood that all the systems shown are not required to be implemented or possessed. More or fewer systems can be alternatively implemented or possessed.

[0153] In particular, according to embodiments of the present disclosure, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by a communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are performed.

[0154] The battery electrolyte simulation device provided by the present disclosure adopts the battery electrolyte simulation method in the above embodiments, and can solve the technical problems of simulation needing auxiliary porous medium image and low robustness of simulation results when only battery data is available. Compared with the prior art, the battery electrolyte simulation device provided by the present disclosure has the same beneficial effects as the battery electrolyte simulation device provided by the above embodiments, and other technical features in the battery electrolyte simulation device are the same as the features disclosed in the previous embodiment method, which will not be repeated here.

[0155] It should be understood that various parts of the present application can be realized in hardware, software, firmware, or a combination thereof. In the description of the above-mentioned embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0156] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0157] In a third aspect, the embodiments of the present application provide a computer readable storage medium having stored thereon computer readable program instructions (i.e., computer programs) for executing the cell electrolyte simulation method in the above-mentioned embodiments.

[0158] The computer readable storage medium provided by the present application may, for example, be a U disk, but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more conductive wires, a portable computer diskette, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present embodiment, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer readable storage medium can be transmitted by any suitable medium, including but not limited to: electrical wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0159] The above-mentioned computer readable storage medium can be contained in the cell electrolyte simulation device; or can exist separately without being assembled into the cell electrolyte simulation device.

[0160] The above-mentioned computer readable storage medium carries one or more programs, which, when executed by the cell electrolyte simulation device, cause the cell electrolyte simulation device to: acquire the tab attribute, the electrolyte attribute, and the charge and discharge working condition;

[0161] determine simulation boundary conditions of the control equation according to the charge-discharge working condition;

[0162] determine an electrolyte flow simulation result based on the simulation boundary conditions, the tab attribute, the electrolyte attribute, the charge-discharge working condition, and the control equation.

[0163] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0164] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of present application. In this regard, each block in the flow diagrams or block diagrams can represent a module, a procedure, or a part of code, which comprises one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in a different order than that noted in the figures. For example, two blocks noted in succession can in fact be executed substantially concurrently or in the opposite order, depending on the functionality involved. It is also noted that each block and combination of blocks in the block diagrams or flow diagrams can be implemented by dedicated hardware-based systems which perform the specified functions or operations, or by a combination of dedicated hardware and computer instructions.

[0165] The modules involved in the embodiments of the present application can be implemented in the manner of software or hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0166] The readable storage medium provided by the application is a computer readable storage medium, and the computer readable storage medium stores computer readable program instructions (i.e. computer programs) for executing the above-mentioned battery electrolyte simulation method, and can solve the technical problems that simulation needs auxiliary porous medium images and simulation results are low in robustness when only battery data is available. Compared with the prior art, the computer readable storage medium provided by the application has the same beneficial effects as the battery electrolyte simulation method provided by the above-mentioned embodiments, and will not be described here.

[0167] In a fourth aspect, the embodiments of the application provide a computer program product comprising a computer program, which, when executed by a processor, implements the steps of the battery electrolyte simulation method as described above.

[0168] The computer program product provided by the application can solve the technical problems that simulation needs auxiliary porous medium images and simulation results are low in robustness when only battery data is available. Compared with the prior art, the computer program product provided by the embodiments of the application has the same beneficial effects as the battery electrolyte simulation method provided by the above-mentioned embodiments, and will not be described here.

[0169] The above is only the preferred embodiments of the application, and does not limit the patent scope of the application, and any equivalent structure or equivalent flow transformation using the content of the specification and drawings of the application, or direct or indirect application in other related technical fields, are also included in the patent processing scope of the application.

Claims

1. A method for simulating electrolyte in a battery cell, characterized in that, The cell electrolyte simulation method includes: Obtain electrode properties, electrolyte properties, and charge / discharge conditions; The simulation boundary conditions of the control equations are determined based on the charging and discharging conditions. The electrode properties, electrolyte properties, and charge / discharge conditions are used as input parameters for the control equation, and the control equation is constrained by the simulation boundary conditions to iteratively determine the simulation results of electrolyte flow.

2. The cell electrolyte simulation method as described in claim 1, characterized in that, The steps of obtaining electrode properties, electrolyte properties, and charge / discharge conditions include: The electrode properties, electrolyte properties, and charge / discharge conditions are based on user input parameters and / or preset parameters.

3. The cell electrolyte simulation method as described in claim 1, characterized in that, The electrode properties include at least one of electrode surface tension, electrode contact angle, and electrode porosity; the electrolyte properties include at least one of electrolyte viscosity and electrolyte density; and the charge / discharge conditions include charging rate or discharging rate.

4. The cell electrolyte simulation method as described in claim 1, characterized in that, The governing equations include global governing equations and flow governing equations; the simulation boundary conditions for determining the governing equations based on the charging and discharging conditions include: If the charge / discharge condition is a discharge rate, the upper and lower boundaries of the overall control equation are determined to be capillary pressure boundary conditions, the upper boundary of the flow control equation is determined to be an air boundary condition, and the lower boundary of the flow control equation is determined to be an electrolyte boundary condition. If the charge / discharge condition is the charging rate, the upper and lower boundaries of the overall control equation are determined to be environmental pressure boundary conditions, the upper boundary of the flow control equation is determined to be the flow rate boundary condition, and the lower boundary of the flow control equation is determined to be the electrolyte boundary condition.

5. The cell electrolyte simulation method as described in claim 1, characterized in that, The process of determining the electrolyte flow simulation results by using the electrode properties, electrolyte properties, and charge / discharge conditions as inputs to the control equations, and constraining the control equations with the simulation boundary conditions, includes: The electrode properties, electrolyte properties, and charge / discharge conditions are used as the initial parameters for the input of the control equation; Under the constraints of the simulation boundary conditions, the governing equations are solved based on the initial parameters to determine the simulation results of the electrolyte flow.

6. The cell electrolyte simulation method as described in claim 5, characterized in that, The process of solving the governing equations based on the initial parameters under the constraints of the simulation boundary conditions to determine the simulation results of the electrolyte flow includes: Obtain the set simulation time; Solve the control equations based on the initial parameters and the simulation boundary conditions, and determine the solution results; The control equations are solved iteratively using the solution results as iterative parameters until the simulation time meets the set simulation time, and then the simulation results of the electrolyte flow are output.

7. The cell electrolyte simulation method as described in claim 6, characterized in that, The governing equations include global governing equations and flow governing equations. Solving the governing equations based on the initial parameters and simulation boundary conditions, and determining the solution results, includes: The minimum flow cycle of the electrolyte is disassembled, and the minimum flow cycle is a five-layer structure consisting of the positive electrode, the first gap, the diaphragm, the second gap, and the negative electrode. Determine the flow control equations corresponding to each layer of the structure; Substitute the initial parameters into the overall control equation and the flow control equation, and solve them under the constraints of the simulation boundary conditions to determine the solution result.

8. The cell electrolyte simulation method as described in claim 7, characterized in that, The process of determining the flow control equations corresponding to each layer of the structure includes: Determine the surface tension, contact angle, porosity, and capillary force corresponding to each layer of the structure; The flow control equation is determined based on the surface tension, the contact angle, the porosity, and the capillary force, combined with a preset multiphase flow equation for porous media.

9. The cell electrolyte simulation method as described in claim 5, characterized in that, After the step of solving the governing equations based on the initial parameters under the constraints of the simulation boundary conditions to determine the simulation results of the electrolyte flow, the method includes: Determine the vertical boundary of the electrolyte flow simulation results; The electrolyte flow simulation results are reused based on the vertical boundary as the axis of symmetry to determine the updated electrolyte flow simulation results.

10. A cell electrolyte simulation device, characterized in that, The battery cell electrolyte simulation device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the battery cell electrolyte simulation method as described in any one of claims 1 to 9.

11. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, it implements the steps of the cell electrolyte simulation method as described in any one of claims 1 to 9.

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