Battery cell design system and battery cell design method
Through the model establishment, simulation and optimization module of the battery cell design system, the problems of large data volume and heavy workload in battery cell design are solved, and the efficiency and accuracy of battery cell design are achieved, reducing the probability of design errors.
Patent Information
- Application Number
- CN202411332271.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-23
- Publication Date
- 2025-02-14
AI Technical Summary
The existing technology has problems such as large data volume, heavy workload, and missed design parameters in battery cell design, making it difficult to effectively improve the working efficiency and accuracy of battery cell design.
A battery cell design system is proposed, including model building module, battery cell simulation module and intelligent optimization module. Through forward and reverse design, the working efficiency of battery cell design is improved and the probability of error is reduced.
Through the combination of battery cell simulation module and intelligent optimization module, the battery cell design is efficient and accurate, and the battery cell design scheme that meets the target constraints can be quickly obtained, reducing the probability of design errors.
Smart Images

Figure CN119442580A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of battery cell design, and in particular to a battery cell design system and a battery cell design method. Background Art
[0002] With the development of the new energy industry, batteries are widely used in 3C consumer electronics, electric vehicles, energy storage power stations and other fields. With the diversified demands of battery terminals, the design parameters such as battery cell size, battery cell capacity, battery cell energy, battery cell material system, etc. are very complicated.
[0003] In the related technology, a battery cell design template is established, and the battery cell design is performed and archived in the form of EXCEL. However, this method is relatively primitive and the amount of data is extremely large, which not only greatly increases the workload of R&D personnel, but also has problems such as errors, omissions and mixing of design parameters. Summary of the invention
[0004] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the first purpose of the present invention is to propose a battery cell design system, which performs forward and reverse design of the battery cell through a battery cell simulation module and an intelligent optimization module, greatly improving the work efficiency of the battery cell design, and making it easier to obtain a target battery cell design solution that meets the target constraint conditions, greatly reducing the error probability of the battery cell design.
[0005] The second objective of the present invention is to provide a battery cell design method.
[0006] To achieve the above-mentioned objectives, the first aspect of the present invention proposes a battery cell design system, including: a model building module, used to receive preset battery cell design key input parameters, and convert the preset battery cell design key input parameters into a number of battery cell models; a battery cell simulation module, used to receive target battery cell design key input parameters, and generate corresponding battery cell design schemes based on the target battery cell design key input parameters and the battery cell model, and simulate each battery cell design scheme to obtain the battery cell design key output parameters corresponding to each battery cell design scheme; an intelligent optimization module, used to reversely deduce the target battery cell design key input parameters based on the target constraint conditions and the battery cell model to obtain the target battery cell design scheme when the battery cell design key output parameters corresponding to each battery cell design scheme do not meet the target constraint conditions.
[0007] According to the battery cell design system of the embodiment of the present invention, the preset battery cell design key input parameters are received through the model building module, and the preset battery cell design key input parameters are converted into a number of battery cell models. The battery cell simulation module receives the target battery cell design key input parameters, and generates corresponding battery cell design schemes based on the target battery cell design key input parameters and the battery cell models, and simulates each battery cell design scheme to obtain the battery cell design key output parameters corresponding to each battery cell design scheme. When the battery cell design key output parameters corresponding to each battery cell design scheme do not meet the target constraint conditions, the intelligent optimization module reversely derives the target battery cell design key input parameters based on the target constraint conditions and the battery cell model to obtain the target battery cell design scheme. Therefore, the system can perform forward and reverse design of batteries through the battery cell simulation module and the intelligent optimization module, which greatly improves the work efficiency of battery cell design, and makes it easier to obtain the target battery cell design scheme that meets the target constraint conditions, greatly reducing the error probability of battery cell design.
[0008] In addition, the battery cell design system according to the above embodiment of the present invention may also have the following additional technical features:
[0009] According to one embodiment of the present invention, the intelligent optimization module is also used to, when there are key output parameters of the battery cell design that meet the target constraint conditions, use the battery cell design scheme with the key output parameters of the battery cell design that meet the target constraint conditions as the target battery cell design scheme.
[0010] According to one embodiment of the present invention, the battery cell model includes a physical model and a mathematical model, wherein the physical model is used to generate a 2D image of the battery cell design scheme based on the key input parameters of the target battery cell design, and the mathematical model is used to generate data parameters of the battery cell design scheme based on the key input parameters of the target battery cell design.
[0011] According to one embodiment of the present invention, the preset key input parameters of the battery cell design include one or more of the battery cell appearance structure parameters, the battery cell internal structure parameters, the battery cell material parameters and the battery cell core design parameters.
[0012] According to one embodiment of the present invention, the key output parameters of the battery cell design include one or more of the number of positive and negative electrode layers of the battery cell, the battery cell capacity, the battery cell energy, the battery cell volume, the battery cell weight, the battery cell mass energy density, the battery cell volume energy density, the mass proportion of the positive electrode material, the mass proportion of the negative electrode material, the mass proportion of the positive electrode collector, the mass proportion of the negative electrode collector, the mass proportion of the electrolyte, the mass proportion of the separator, the mass proportion of the exposed tabs and the mass proportion of the aluminum-plastic film.
[0013] According to one embodiment of the present invention, the battery cell design system further includes: a visualization module for visually displaying the size model of the battery cell design scheme, the simulation results of the battery cell design scheme, the optimization process of the battery cell design scheme and the key output parameters of the battery cell design.
[0014] According to one embodiment of the present invention, the battery cell design system also includes: a data storage module, which is used to process and store data generated by the model building module, the battery cell simulation module, the intelligent optimization module and the visualization module; the data storage module is also used to interact with external systems.
[0015] According to an embodiment of the present invention, the battery cell design system further includes: a user interaction module, which is used to implement interactive operations with the user.
[0016] According to one embodiment of the present invention, the model building module is further used to receive preset key input parameters of battery cell design and / or battery cell model through the user interaction module.
[0017] To achieve the above-mentioned purpose, a second embodiment of the present invention proposes a battery cell design method, which includes: receiving preset battery cell design key input parameters, and converting the preset battery cell design key input parameters into a number of battery cell models; receiving target battery cell design key input parameters, and generating corresponding battery cell design schemes based on the target battery cell design key input parameters and the battery cell model, and simulating each battery cell design scheme to obtain the battery cell design key output parameters corresponding to each battery cell design scheme; when the battery cell design key output parameters corresponding to each battery cell design scheme do not meet the target constraint conditions, reversely deriving the target battery cell design key input parameters based on the target constraint conditions and the battery cell model to obtain the target battery cell design scheme.
[0018] According to the battery cell design method of the embodiment of the present invention, firstly, preset battery cell design key input parameters are received, and the preset battery cell design key input parameters are converted into a number of battery cell models, and the target battery cell design key input parameters are received, so as to generate corresponding battery cell design schemes based on the target battery cell design key input parameters and the battery cell models, and each battery cell design scheme is simulated to obtain the battery cell design key output parameters corresponding to each battery cell design scheme, and when the battery cell design key output parameters corresponding to each battery cell design scheme do not meet the target constraint conditions, the target battery cell design key input parameters are reversely derived based on the target constraint conditions and the battery cell model to obtain the target battery cell design scheme. Therefore, the method greatly improves the work efficiency of battery cell design through the forward and reverse design of the battery cell, and it is easier to obtain the target battery cell design scheme that meets the target constraint conditions, greatly reducing the error probability of battery cell design.
[0019] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 A connection diagram of a battery cell design system according to an embodiment of the present invention;
[0021] Figure 2 A connection diagram of a battery cell design system according to a specific embodiment of the present invention;
[0022] Figure 3 The figure is a flow chart of a battery cell design method according to an embodiment of the present invention. DETAILED DESCRIPTION
[0023] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.
[0024] The following describes a battery cell design system and a battery cell design method provided by embodiments of the present invention with reference to the accompanying drawings.
[0025] Figure 1 FIG. 4 is a connection diagram of a battery cell design system according to an embodiment of the present invention.
[0026] like Figure 1 As shown, the battery cell design system according to the embodiment of the present invention may include: a model building module 10 , a battery cell simulation module 20 and an intelligent optimization module 30 .
[0027] Among them, the model building module 10 is used to receive the preset key input parameters of the battery cell design, and convert the preset key input parameters of the battery cell design into a number of battery cell models. The battery cell simulation module 20 is used to receive the target battery cell design key input parameters, and generate the corresponding battery cell design scheme based on the target battery cell design key input parameters and the battery cell model, and simulate each battery cell design scheme to obtain the battery cell design key output parameters corresponding to each battery cell design scheme. The intelligent optimization module 30 is used to reversely deduce the target battery cell design key input parameters based on the target constraint conditions and the battery cell model to obtain the target battery cell design scheme when the battery cell design key output parameters corresponding to each battery cell design scheme do not meet the target constraint conditions.
[0028] Specifically, the model building module 10 is the basis of the battery cell design system, which is used to create and summarize information such as battery cell material parameters, battery cell core design parameters, etc., that is, preset battery cell design key parameters, and convert the received preset battery cell design key input parameters into battery cell models such as ternary battery cell models and lithium iron phosphate battery cell models, etc., so as to fix multiple battery cell models to the model building module 10 and wait for subsequent calculation calls. And the model building module 10 allows users to customize preset battery cell design key parameters such as battery cell materials and structures, and provides source data for building accurate battery cell models. Therefore, the model building module 10 includes the following two functions: 1) create and summarize preset battery cell design key parameters; 2) establish multiple battery cell models based on the stored preset battery cell design key parameters for subsequent calculation calls.
[0029] The battery cell simulation module 20 is the core part of the battery cell design system. The battery cell simulation module 20 is based on the battery cell model, obtains the corresponding battery cell design scheme according to the battery cell key input parameters set by the user, that is, the target battery cell design key input parameters, and simulates each battery cell design scheme to obtain the battery cell key output parameters corresponding to each battery cell design scheme. Taking the battery cell model in the model building module 10 as an example, including a ternary battery cell model and a lithium iron phosphate battery cell model, then based on the target battery cell design key input parameters, the first battery cell design scheme corresponding to the ternary battery cell model and the second battery cell design scheme corresponding to the lithium iron phosphate battery cell model are respectively obtained, and then the first battery cell design scheme is simulated to obtain the battery cell design key output parameters of the first battery cell design scheme, and the second battery cell design scheme is simulated to obtain the battery cell design key output parameters of the second battery cell design scheme.
[0030] The intelligent optimization module 30 is used to optimize the design parameters of the battery cell based on the battery cell simulation results output by the battery cell simulation module 20. It can automatically adjust the size, material, structure and other parameters of the battery cell according to the target constraints set by the user to find the optimal battery cell design solution (for example, the set target constraints include the battery cell capacity of 10Ah and the size of 10*10*5, which is the constraint condition. The intelligent optimization module 30 recommends the battery cell design solution that meets the target constraint conditions for the battery cell simulation results of the battery cell simulation module 20. Among them, the target constraint conditions can be set based on the key output parameters of the battery cell design, and can be selected according to the actual situation.
[0031] When the intelligent optimization module 30 determines that the key output parameters of the battery cell output by the battery cell simulation model 20 cannot meet the target constraint conditions, the corresponding target battery cell key input parameters are reversely derived based on the target constraint conditions and the battery cell model to obtain the target battery cell design solution. In addition, if the intelligent optimization module 30 forms a new battery cell model, the new battery cell model can also be stored in the model building module 10. When the key output parameters of the battery cell design of the battery cell simulation module 20 do not meet the target constraint conditions, the intelligent optimization module 30 can reversely deduce the battery cell design to achieve the purpose of reducing costs and improving efficiency.
[0032] Furthermore, the battery cell simulation module 20 and the intelligent optimization module 30 implement bidirectional design of the battery cells based on the battery cell parameter calculation logic, wherein the telecommunication simulation module 20 implements forward battery cell design by obtaining key output parameters of the battery cell design from key input parameters of the battery cell design, and the intelligent optimization module 30 implements reverse battery cell design by obtaining key input parameters of the battery cell design from key output parameters of the battery cell design.
[0033] In one embodiment of the present invention, the preset key input parameters of the battery cell design include one or more of the battery cell appearance structure parameters, the battery cell internal structure parameters, the battery cell material parameters and the battery cell core design parameters. The user's predetermined target key input parameters of the battery cell design are one or more of the above parameters.
[0034] Among them, the battery cell appearance structural parameters include battery cell length, battery cell width, battery cell thickness, battery cell exposed pole lug length, battery cell exposed pole lug width, battery cell exposed pole lug thickness, battery cell exposed pole lug margin distance, and battery cell exposed pole lug center distance.
[0035] The internal structural parameters of the battery cell include the length of the positive electrode sheet, the width of the positive electrode sheet, the thickness of the positive electrode sheet, the length of the negative electrode sheet, the width of the negative electrode sheet, the thickness of the negative electrode sheet, the length of the diaphragm, the width of the diaphragm, the thickness of the diaphragm, the length of the positive current collector tab, the width of the positive current collector tab, the margin of the positive current collector tab, the length of the negative current collector tab, the width of the negative current collector tab, the margin of the negative current collector tab, the center distance between the positive and negative current collector tabs, the length of the aluminum-plastic film, the width of the aluminum-plastic film, and the thickness of the aluminum-plastic film.
[0036] The battery cell material parameters include the type of positive electrode active material, the type of positive electrode conductive agent, the type of positive electrode auxiliary agent, the type of positive electrode current collector, the type of negative electrode active material, the type of negative electrode binder, the type of negative electrode additive, the type of negative electrode current collector, the type of separator material, the type of electrolyte lithium salt, the type of electrolyte solvent, the type of electrolyte additive, the type of aluminum-plastic film material, and the type of exposed tab material.
[0037] The core design parameters of the battery cell include the surface density of the positive electrode material, the true density of the positive electrode material, the compacted density of the positive electrode material, the charge and discharge capacity in grams of the positive electrode material, the solid content of the positive electrode material, the porosity of the positive electrode material, the discharge platform voltage of the positive electrode material, the surface density of the negative electrode material, the true density of the negative electrode material, the compacted density of the negative electrode material, the charge and discharge capacity in grams of the negative electrode material, the solid content of the negative electrode material, the porosity of the negative electrode material, the N / P value of the positive and negative electrode materials, the single / double layer of the positive and negative electrode materials, the true density of the positive current collector, the true density of the negative current collector, the surface density of the diaphragm, the porosity of the diaphragm, the true density of the electrolyte, the electrolyte balance factor, the surface density of the aluminum-plastic film, the density of the positive electrode exposed lug, and the density of the negative electrode exposed lug.
[0038] In one embodiment of the present invention, the key output parameters of the battery cell design include one or more of the number of positive and negative electrode layers of the battery cell, battery cell capacity, battery cell energy, battery cell volume, battery cell weight, battery cell mass energy density, battery cell volume energy density, positive electrode material mass proportion, negative electrode material mass proportion, positive electrode current collector mass proportion, negative electrode current collector mass proportion, electrolyte mass proportion, separator mass proportion, exposed tab mass proportion, and aluminum-plastic film mass proportion. The target constraint condition can be set based on the key output parameters of the battery cell design and is within the preset parameter range to facilitate the realization of correct battery cell design.
[0039] The cell parameter calculation logic includes the mutual definition and calculation of cell appearance structure parameters, cell internal structure parameters, cell material parameters, and cell core design parameters, which are used to realize the mutual conversion between the key input parameters and the key output parameters of the cell, that is, in different calculation scenarios, the key output parameters can be used as input parameters at the same time, and the input parameters can be deduced as output parameters. Specifically, each key input parameter can be derived from the key output parameters through mathematical function calculation. For example, the total area of the positive electrode can be calculated by multiplying the surface density of the positive electrode material, the length, width and thickness of the positive electrode material, and the number of positive electrode layers, and then multiplying it by the density of the positive electrode and the positive electrode gram capacity data to get the cell capacity. The formula is: Cell capacity = number of positive electrode layers * 2 * positive electrode length * positive electrode width * positive electrode surface density * positive electrode gram capacity.
[0040] Therefore, based on the cell parameter calculation logic, the key input parameters of the cell and the key output parameters of the cell can be converted to each other, that is, in the intelligent optimization module 30, the key output parameters are used as input parameters, and the input parameters are reversely deduced as output parameters.
[0041] This embodiment can support the bottom-up battery cell development function, that is, converting output parameters including battery cell capacity, battery cell energy density and other information into input parameters, and the system automatically matches the best solution in the database, including recommended battery cell size, battery cell material selection and other information. At the same time, it can be applied to terminal devices based on Windows system, and relevant personnel in the field of battery cell research and development can use the battery cell design system to carry out battery cell design.
[0042] In one embodiment of the present invention, the intelligent optimization module 30 is also used to, when there are key output parameters of the battery cell design that meet the target constraint conditions, use the battery cell design scheme with the key output parameters of the battery cell design that meet the target constraint conditions as the target battery cell design scheme.
[0043] That is to say, when the key output parameters of the cell design output by the cell simulation module 20 include the key output parameters of the cell design that meet the target constraints, the intelligent optimization module 30 directly uses the cell design scheme corresponding to the key output parameters of the cell design that meet the target constraints as the target cell design scheme, otherwise reverse deduction is performed to obtain the cell design scheme that meets the target constraints.
[0044] In one embodiment of the present invention, the battery cell model includes a physical model and a mathematical model, wherein the physical model is used to generate a 2D image of the battery cell design scheme based on the key input parameters of the target battery cell design, and the mathematical model is used to generate data parameters of the battery cell design scheme based on the key input parameters of the target battery cell design.
[0045] That is to say, the battery cell model in the model building module 10 includes a physical model and a digital model. The battery cell simulation module 20 can output a 2D drawing of the corresponding battery cell design scheme through the physical model, and can perform numerical calculation and analysis based on the mathematical model, so as to obtain the key battery cell output parameters corresponding to each battery cell design scheme according to the user's established target battery cell key input parameters.
[0046] Combination Figure 2 As shown, in one embodiment of the present invention, the battery cell design system also includes: a visualization module 40, which is used to visualize the size model of the battery cell design scheme, the simulation results of the battery cell design scheme, the optimization process of the battery cell design scheme and the key output parameters of the battery cell design.
[0047] Specifically, the size model of the battery cell design includes the size model of the battery cell design scheme obtained by performing forward battery cell design based on the key input parameters of the target battery cell design through the battery cell simulation module 20, and the size model of the battery cell design scheme obtained by performing reverse battery cell design based on the target constraint conditions through the intelligent optimization module 30, which can be specifically displayed in the form of 2D images, 3D images, etc. The battery cell simulation result is the simulation result of the battery cell design scheme obtained by the battery cell simulation module 20 based on the forward battery cell design, which can be specifically displayed in the form of data, images, etc. The battery cell optimization process is the working process of the intelligent optimization module 30, which can be displayed in the form of diagrams, tables, etc. The key output parameters of the battery cell design may include the key output parameters of the battery cell design of each battery cell design scheme output by the battery cell simulation module 20, the key output parameters of the battery cell design of the battery cell design scheme that meets the target constraint conditions, etc., without specific limitation.
[0048] Therefore, the battery cell design system can display the size model of the battery cell design scheme, the simulation results of the battery cell design scheme, the optimization process of the battery cell design scheme and the key output parameters of the battery cell design to the user in a graphical and data-based manner through the visualization module 40.
[0049] In one embodiment of the present invention, the battery cell design system also includes: a data storage module 50, which is used to process and store data generated by the model building module 10, the battery cell simulation module 20, the intelligent optimization module 30 and the visualization module 40; the data storage module 50 is also used to interact with external systems.
[0050] That is to say, the data storage module 50 is used to classify, organize, upload, and cloud-save the data generated by the model building module 10, the battery simulation module 20, the intelligent optimization module 30, and the visualization module 40, and can also extract key indicators, generate statistical reports, and perform trend forecasts, etc., and further complete the performance evaluation and improvement measures of the battery cells. In addition, the data storage module 50 can also interact with other systems such as ERP (Enterprise Resource Planning), MES (Manufacturing Execution System), and WMS (Warehouse Management System) to achieve data sharing and transmission.
[0051] In one embodiment of the present invention, the battery cell design system further includes: a user interaction module 60, which is used to implement interaction operations with the user.
[0052] That is, the user interaction module 60 is an interface for the battery design system to interact with the user. The user interaction module 60 can provide a simple and friendly user interface, allowing the user to easily input design parameters, view simulation results, and perform operations and controls. At the same time, the user interaction module 60 can also provide help documents, online support and other functions through the user interface to improve the user experience and efficiency.
[0053] In one embodiment of the present invention, the model building module 10 is further configured to receive preset key input parameters of the battery cell design and / or the battery cell model through the user interaction module 60 .
[0054] Specifically, in response to the problem that related technical solutions cannot be customized for development and maintenance, the battery cell design system allows the user interaction module 60 to support the independent addition of preset battery cell design key input parameters, or battery cell models, or preset battery cell key input parameters and battery cell models, thereby updating the template library of the model building module 10. In other words, R&D personnel can establish a database including basic material information, basic battery cell information, etc. through the user interaction module 60 to facilitate maintenance and meet customized development needs.
[0055] As a specific embodiment of the present invention, a battery cell design system is as follows: Figure 2 As shown, the battery design system has built a simple and easy-to-use interactive interface for users through six modules, namely, the model building module 10, the battery simulation module 20, the intelligent optimization module 30, the visualization module 40, the data storage module 50 and the user interaction module 60. Users can maintain technical parameters through the model building module 10, and perform forward or reverse design of the battery through the battery simulation module 20 and the intelligent optimization module 30. The obtained data will eventually be presented through the visualization module 40. The above modules can also interact with other systems such as ERP, MES, and WMS to realize data sharing and transmission. The system will also store the data securely through the data storage module 40 and retain it in the user-specified security database.
[0056] In addition, the battery cell design system can be applied to all terminal devices based on the Windows system, and all personnel related to the battery cell research and development field can use the software product to carry out battery cell design. The model building module 10 of the battery cell design system can support the independent addition of template libraries, and R&D personnel can establish databases including basic material information and basic battery cell information by themselves, which is easy to maintain and meet customized development needs. The intelligent optimization module 20 of the battery cell design system can support bottom-up battery cell development functions, that is, converting key output parameters of battery cell design including battery cell capacity, battery cell energy density and other information into input parameters. The system automatically matches the best solution in the database, including recommended battery cell size, battery cell material selection and other information, to achieve intelligent design, improve quality and increase efficiency.
[0057] Through this battery cell design system, battery cell design and development personnel can greatly improve their work efficiency and greatly reduce the probability of errors, and the company does not need to perform additional data management and archiving. The battery cell design system can achieve simultaneous compatibility in multiple dimensions such as battery cell data modeling, battery cell forward design, battery cell reverse design, battery cell visualization, battery cell data processing, and battery cell data storage. If it can be interconnected with the company's ERP system, MES system, etc. at the same time, it can greatly improve the R&D efficiency of lithium battery companies and achieve cost reduction and efficiency improvement.
[0058] In summary, according to the battery cell design system of the embodiment of the present invention, the model building module receives the preset battery cell design key input parameters, and converts the preset battery cell design key input parameters into a number of battery cell models. The battery cell simulation module receives the target battery cell design key input parameters, and generates the corresponding battery cell design scheme based on the target battery cell design key input parameters and the battery cell model, and simulates each battery cell design scheme to obtain the battery cell design key output parameters corresponding to each battery cell design scheme. When the battery cell design key output parameters corresponding to each battery cell design scheme do not meet the target constraint conditions, the intelligent optimization module reversely derives the target battery cell design key input parameters based on the target constraint conditions and the battery cell model to obtain the target battery cell design scheme. Therefore, the system can perform forward and reverse design of the battery cell through the battery cell simulation module and the intelligent optimization module, which greatly improves the work efficiency of the battery cell design, and makes it easier to obtain the target battery cell design scheme that meets the target constraint conditions, greatly reducing the error probability of the battery cell design.
[0059] Corresponding to the above embodiment, the present invention also proposes a battery cell design method.
[0060] like Figure 3 As shown, the battery cell design method according to the embodiment of the present invention may include:
[0061] S1, receiving preset key input parameters of battery cell design, and converting the preset key input parameters of battery cell design into a plurality of battery cell models;
[0062] S2, receiving the key input parameters of the target battery cell design, and generating corresponding battery cell design schemes based on the key input parameters of the target battery cell design and the battery cell model, and simulating each battery cell design scheme to obtain the key output parameters of the battery cell design corresponding to each battery cell design scheme;
[0063] S3, when the key output parameters of the cell design corresponding to each cell design scheme do not meet the target constraint conditions, the target cell design key input parameters are reversely derived based on the target constraint conditions and the cell model to obtain the target cell design scheme.
[0064] It should be noted that for details not disclosed in the battery cell design method of the embodiment of the present invention, please refer to the details disclosed in the battery cell design system of the above embodiment of the present invention, and the details will not be repeated here.
[0065] According to the battery cell design method of the embodiment of the present invention, firstly, preset battery cell design key input parameters are received, and the preset battery cell design key input parameters are converted into a number of battery cell models, and the target battery cell design key input parameters are received, so as to generate corresponding battery cell design schemes based on the target battery cell design key input parameters and the battery cell models, and each battery cell design scheme is simulated to obtain the battery cell design key output parameters corresponding to each battery cell design scheme, and when the battery cell design key output parameters corresponding to each battery cell design scheme do not meet the target constraint conditions, the target battery cell design key input parameters are reversely derived based on the target constraint conditions and the battery cell model to obtain the target battery cell design scheme. Therefore, the method greatly improves the work efficiency of battery cell design through the forward and reverse design of the battery cell, and it is easier to obtain the target battery cell design scheme that meets the target constraint conditions, greatly reducing the error probability of battery cell design.
[0066] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.
[0067] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0068] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.
[0069] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0070] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0071] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.
Claims
1. A battery cell design system, characterized in that: include: A model building module, used for receiving preset key input parameters of battery cell design and converting the preset key input parameters of battery cell design into a plurality of battery cell models; A cell simulation module, used for receiving key input parameters of a target cell design, generating corresponding cell design schemes based on the key input parameters of the target cell design and the cell model, and simulating each cell design scheme to obtain key output parameters of the cell design corresponding to each cell design scheme; The intelligent optimization module is used to reversely deduce the target cell design key input parameters based on the target constraint conditions and the cell model to obtain the target cell design scheme when the key cell design output parameters corresponding to each cell design scheme do not meet the target constraint conditions.
2. The battery cell design system according to claim 1, characterized in that: The intelligent optimization module is also used to, when there are key output parameters of the battery cell design that meet the target constraint conditions, use the battery cell design scheme with the key output parameters of the battery cell design that meet the target constraint conditions as the target battery cell design scheme.
3. The battery cell design system according to claim 1, characterized in that: The battery cell model includes a physical model and a mathematical model, wherein the physical model is used to generate a 2D image of the battery cell design scheme based on the key input parameters of the target battery cell design, and the mathematical model is used to generate data parameters of the battery cell design scheme based on the key input parameters of the target battery cell design.
4. The battery cell design system according to claim 1, characterized in that: The preset key input parameters of the battery cell design include one or more of the battery cell appearance structure parameters, the battery cell internal structure parameters, the battery cell material parameters and the battery cell core design parameters.
5. The battery cell design system according to claim 1, characterized in that: The key output parameters of the battery cell design include one or more of the number of positive and negative electrode layers of the battery cell, battery cell capacity, battery cell energy, battery cell volume, battery cell weight, battery cell mass energy density, battery cell volume energy density, positive electrode material mass proportion, negative electrode material mass proportion, positive electrode current collector mass proportion, negative electrode current collector mass proportion, electrolyte mass proportion, separator mass proportion, exposed tab mass proportion and aluminum-plastic film mass proportion.
6. The battery cell design system according to any one of claims 1 to 5, characterized in that: The battery cell design system further includes: The visualization module is used to visualize the size model of the battery cell design scheme, the simulation results of the battery cell design scheme, the optimization process of the battery cell design scheme and the key output parameters of the battery cell design.
7. The battery cell design system according to claim 6, characterized in that: The battery cell design system further includes: A data storage module, used for processing and storing data generated by the model building module, the battery cell simulation module, the intelligent optimization module and the visualization module; The data storage module is also used to interact with external systems for data.
8. The battery cell design system according to any one of claims 1 to 5, characterized in that: The battery cell design system further includes: The user interaction module is used to implement interactive operations with users.
9. The battery cell design system according to claim 8, characterized in that: The model building module is further used to receive the preset battery cell design key input parameters and / or the battery cell model through the user interaction module.
10. A battery cell design method, characterized in that: The method comprises: Receiving preset key input parameters of battery cell design, and converting the preset key input parameters of battery cell design into a plurality of battery cell models; Receive key input parameters of the target battery cell design, generate corresponding battery cell design schemes based on the key input parameters of the target battery cell design and the battery cell model, and simulate each battery cell design scheme to obtain key output parameters of the battery cell design corresponding to each battery cell design scheme; When the key output parameters of the battery cell design corresponding to each battery cell design scheme do not meet the target constraint conditions, the target battery cell design key input parameters are reversely derived based on the target constraint conditions and the battery cell model to obtain the target battery cell design scheme.