A method, device and electronic device for obtaining battery heat generation

Abstract

The present invention discloses a method, apparatus, and electronic device for obtaining battery heat generation. The method includes: scanning an imported battery design model and parsing battery chemical system parameters and battery structure parameters from the battery design model; receiving an input target heating condition to match electrochemically generated heat, joule heat of structural components, and external heat exchange amount from a preset heat generation database based on the target heating condition, battery chemical system parameters, and battery structure parameters; and fusing the electrochemically generated heat, joule heat of structural components, and external heat exchange amount to determine the battery heat generation amount corresponding to the battery design model. The technical solution provided by the present invention improves the efficiency of obtaining battery heat generation.

Description

Technical Field

[0001] The present invention relates to the field of batteries, and in particular, to a method, device and electronic device for obtaining battery heat generation. Background Art

[0002] With the increasing maturity of the development of electric vehicles, people's acceptance of electric vehicles is also gradually increasing. At the same time, domestic automobile enterprises are constantly bringing forth new ideas to meet the needs of consumers at different levels. Under the current background, how to ensure the product R & D quality while shortening the product R & D cycle, quickly launching new products and increasing the market share has become the main problem faced by automobile enterprises. The power source of electric vehicles - lithium-ion batteries, whose operating temperature is related to the use performance and life of the whole vehicle. Rapidly evaluating battery heat generation at the battery design stage is of great significance for shortening the R & D cycle. The existing technology needs to produce the battery, and then test the adiabatic temperature rise of the battery under different charge and discharge conditions, calculate the battery heat generation, and then use commercial software to build a battery finite element model to calculate the battery temperature performance under different conditions. However, this method not only requires the production of battery products, but also requires the debugging of complex models. There are many parameters, equations and complex calculations in the model, resulting in low efficiency in the process of heat generation calculation. Therefore, how to improve the efficiency of obtaining battery heat generation is an urgent problem to be solved. Summary of the Invention

[0003] In view of this, embodiments of the present invention provide a method, device and electronic device for obtaining battery heat generation, thereby improving the efficiency of obtaining battery heat generation.

[0004] According to a first aspect, an embodiment of the present invention provides a method for obtaining battery heat generation, the method including: scanning an imported battery design model, and parsing battery chemical system parameters and battery structure parameters from the battery design model; receiving an input target heat generation condition, so as to match electrochemistry heat generation amount, structural member joule heat amount and external heat exchange amount from a preset heat generation database based on the target heat generation condition, the battery chemical system parameters and the battery structure parameters; fusing the electrochemistry heat generation amount, the structural member joule heat amount and the external heat exchange amount to determine the battery heat generation amount corresponding to the battery design model.

[0005] Optionally, the parsing battery chemical system parameters and battery structure parameters from the battery design model includes: reading the battery chemical system and battery capacity of the battery design model as the battery chemical system parameters; positioning the battery structural members in the battery design model, and reading the heat exchange area, current-carrying area, mass, thickness and material of the battery structural members as the battery structure parameters, where the battery structural members include tabs, connecting pieces, poles, housings and covers.

[0006] Optionally, the target heating condition includes heating temperature, energizing current, and energizing time.

[0007] Optionally, the preset heat generation database is obtained in the following manner: calculating the electrochemical heat generation corresponding to a number of preset heating conditions based on the P2D model under a preset system, where the preset system includes at least one of lithium iron phosphate, lithium nickel cobalt manganese oxide, cobalt-free, and medium-nickel high voltage; performing equal-proportion linear interpolation on the number of preset heating conditions and the corresponding simulated electrochemical heat generation respectively, and creating the electrochemical heat generation database of the preset system based on the obtained first interpolation result; obtaining a number of groups of internal energy parameters, and calculating a plurality of Joule heats based on each group of internal energy parameters, where the internal energy parameters include resistance, energizing current, and energizing time; performing equal-proportion linear interpolation on the four dimensions of resistance, energizing current, energizing time, and Joule heat, and creating a structural member Joule heat database according to the obtained second interpolation result; forming the preset heat generation database based on the electrochemical heat generation database, the Joule heat database, the convective heat transfer formula, and the radiative heat transfer formula.

[0008] Optionally, matching the electrochemical heat generation, the structural member Joule heat, and the external heat transfer amount from the preset heat generation database based on the target heating condition, the battery chemical system parameters, and the battery structure parameters includes: finding the target electrochemical heat generation database from the created electrochemical heat generation database based on the battery chemical system parameters; inputting the target heating condition into the target electrochemical heat generation database, and retrieving the electrochemical heat generation corresponding to the target heating condition from the target electrochemical heat generation database; determining the current resistance based on the battery structure parameters, and determining the current energizing current and the current energizing time from the target heating condition; retrieving the corresponding structural member Joule heat from the structural member Joule heat database according to the current resistance, the current energizing current, and the current energizing time; determining the current heating temperature from the target heating condition, and determining the current heat transfer area from the battery structure parameters; inputting the current heating temperature and the current heat transfer area into the convective heat transfer formula and the radiative heat transfer formula respectively, and calculating the convective heat transfer amount and the radiative heat transfer amount; determining the external heat transfer amount based on the sum of the convective heat transfer amount and the radiative heat transfer amount.

[0009] Optionally, the preset heat generation database is classified according to the battery size. Before matching the electrochemical heat generation, the structural member Joule heat, and the external heat transfer amount from the preset heat generation database based on the target heating condition, the battery chemical system parameters, and the battery structure parameters, the method further includes: determining the current battery size of the battery design model, and obtaining the preset heat generation database belonging to the current battery size.

[0010] Optionally, the method further includes: displaying the battery heat generation amount, the target heating condition, the battery chemical system, and the battery structure parameters on a popped-up display page; detecting whether there is a modification operation on the display controls for displaying the target heating condition, the battery chemical system, and the battery structure parameters on the display page; and if there is a modification operation on the display controls, updating the displayed battery heat generation amount in response to the modification operation.

[0011] According to a second aspect, an embodiment of the present invention provides a device for obtaining battery heat generation, the device includes: a model parsing module, configured to scan an imported battery design model and parse battery chemical system parameters and battery structure parameters from the battery design model; a matching module, configured to receive an input target heating condition, and match electrochemistry heat generation amount, joule heat of structural parts, and external heat exchange amount from a preset heat generation database based on the target heating condition, the battery chemical system parameters, and the battery structure parameters; and a heat generation calculation module, configured to fuse the electrochemistry heat generation amount, the joule heat of structural parts, and the external heat exchange amount to determine the battery heat generation amount corresponding to the battery design model.

[0012] According to a third aspect, an embodiment of the present invention provides an electronic device, including: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to execute the method according to the first aspect, or any optional implementation manner of the first aspect.

[0013] According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, the computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute the method according to the first aspect, or any optional implementation manner of the first aspect.

[0014] The technical solution provided by this application has the following advantages:

[0015] The technical solution provided by this application pre - creates a database based on the battery heat generation caused by different battery chemical system parameters and battery structure parameters under different heat - generating working conditions to obtain a heat generation database. Subsequently, during the battery design stage, the battery design model is parsed and split into components to parse out the battery chemical system parameters and battery structure parameters in the battery design model, and the target heat - generating working condition of the battery is input. Then, according to the parsed parameters and the input heat - generating working condition, the corresponding results are directly searched from the heat generation database to obtain the heat generation of the battery chemical system (electrochemical heat generation), the battery structure heat generation caused by the current passing through the battery structure (structural component Joule heat), and the battery heat dissipation (external heat exchange). Finally, by calculating the sum of the heat generation and heat dissipation, the final battery heat generation corresponding to the battery design model can be obtained. On the one hand, there is no need to wait for the production of battery finished products for experiments. On the other hand, there is no need to conduct a large number of model experiments, and there is no calculation of experimental equations. Only simple search and lookup are required to determine the final battery heat generation, which greatly improves the efficiency of obtaining battery heat generation. Brief Description of the Drawings

[0016] The features and advantages of the present invention will be more clearly understood by referring to the accompanying drawings. The drawings are schematic and should not be construed as imposing any limitation on the present invention. In the drawings:

[0017] Figure 1 Fig. shows a schematic diagram of the steps of a method for obtaining battery heat generation in one embodiment of the present invention;

[0018] Figure 2 Fig. shows a schematic flow diagram of a method for obtaining battery heat generation in one embodiment of the present invention;

[0019] Figure 3 Fig. shows a schematic structural diagram of a device for obtaining battery heat generation in one embodiment of the present invention;

[0020] Figure 4 Fig. shows a schematic structural diagram of an electronic device in one embodiment of the present invention. Detailed Embodiments

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] Please refer to Figure 1 and Figure 2, in one embodiment, a method for obtaining battery heat generation specifically includes the following steps:

[0023] Step S101: Scan the imported battery design model and parse out the battery chemical system parameters and battery structure parameters from the battery design model.

[0024] Step S102: Receive the input target heating condition, and match the electrochemical heat generation amount, joule heat of the structural parts, and external heat exchange amount from a preset heat generation database based on the target heating condition, battery chemical system parameters, and battery structure parameters.

[0025] Step S103: Integrate the electrochemical heat generation amount, joule heat of the structural parts, and external heat exchange amount to determine the battery heat generation amount corresponding to the battery design model.

[0026] Specifically, the embodiments of the present invention mainly consider two parts of battery heat generation. One part is the heat generated by the electrochemical reaction occurring inside the electrode assembly composed of the positive and negative active materials, separator, electrolyte, and positive and negative current collectors. The other part is the joule heat generated by the structural parts such as the positive and negative terminal posts, jumper plates, and electrode tabs when passing current. In this embodiment, a database is built through the pre-acquired electrochemical heat generation data of different chemical systems and the joule heat data of structural parts under different structural designs. Thus, rapid heat generation evaluation can be carried out at the battery design stage. The specific method is as follows: By scanning the battery design model, the model is componentized and parsed to parse out the battery chemical system parameters and battery structure parameters of the battery design model, and the target heating condition of the battery is input. Then, according to the parsed parameters and the input heating condition, the corresponding results are directly searched from the heat generation database to obtain the heat generation of the battery chemical system (electrochemical heat generation), the battery structure heat generation caused by the current passing through the battery structure (joule heat of the structural parts), and the battery heat dissipation (external heat exchange amount). Finally, by calculating the sum of heat generation and heat dissipation, the battery heat generation amount finally corresponding to the battery design model can be obtained. On the one hand, there is no need to wait for the production of battery finished products for experiments. On the other hand, there is no need to conduct a large number of model experiments, and there is no calculation of experimental equations. Only simple search and lookup are required to determine the final battery heat generation amount, which greatly improves the efficiency of obtaining battery heat generation.

[0027] Specifically, in this embodiment, the battery chemical system parameters include battery capacity and electrochemical system, so as to accurately match the electrochemical heat generation under each electrochemical system for batteries with different capacities. In this embodiment, the electrochemical systems in the heat generation database at least include one of lithium iron phosphate, lithium nickel cobalt manganese oxide, cobalt-free, and medium-nickel high voltage.

[0028] Since the structural parts of different batteries vary greatly, in this embodiment, in order to further improve the accuracy of the heat generation database, the corresponding structural part Joule heat is calculated separately for various structural part parameters. The structural parts include tabs, connecting pieces, poles, shells and cover plates, and different heat exchange areas, flow areas, masses, thicknesses and materials are set for the tabs, connecting pieces, poles, shells and cover plates, respectively, to calculate and obtain complete structural part Joule heat data.

[0029] Based on this, this embodiment parses the battery chemical system and battery capacity from the battery design model through a preset analysis module, and then determines the heat exchange area, flow area, mass, thickness and material of each structural component of the lug, connecting piece, pole, shell and cover plate. In addition, the heating conditions include heating temperature, power-on current and power-on time (for example, constant rate charging or step charging conditions of the battery at room temperature of 25°C and high temperature of 45°C). Similarly, the heat generation data in the database is also calculated separately using the above-mentioned indicators, so as to perform data matching under multiple indicators, improve the accuracy of database matching data, and improve the accuracy of the output battery heat generation.

[0030] Specifically, in one embodiment, the specific steps of creating a heat generation database include:

[0031] Step 1: Calculate the electrochemical heat generation corresponding to several preset heating conditions based on the P2D model under a preset system, where the preset system includes at least one of lithium iron phosphate, lithium nickel cobalt manganese oxide, cobalt-free and medium nickel high voltage.

[0032] Step 2: Perform proportional linear interpolation on a number of preset heating conditions and the corresponding simulated electrochemical heat generation, and create an electrochemical heat generation database of the preset system based on the first interpolation result obtained.

[0033] Step 3: Obtain several groups of internal energy parameters, and calculate multiple Joule heats based on each group of internal energy parameters, the internal energy parameters including resistance, current and time.

[0034] Step 4: Perform proportional linear interpolation on the four dimensions of resistance, current, power-on time and Joule heat, and create a structural component Joule heat database based on the obtained second interpolation results.

[0035] Step 5: A preset heat generation database is formed based on the electrochemical heat generation database, the Joule heat database, the convection heat transfer formula and the radiation heat transfer formula.

[0036] Specifically, consider that the battery heat generation = the electrochemical heat generation amount Q1 + the joule heat of the structural member Q2 - the heat exchange amount with the outside Q3. In this embodiment, at least one electrochemical system among lithium iron phosphate, lithium nickel cobalt manganese oxide, cobalt-free, and medium-nickel high voltage is selected for P2D model experiments, and the electrochemical heat generation amounts corresponding to several heating conditions are calculated. For example, for the lithium iron phosphate system, the corresponding P2D model is obtained, and then 10 heating conditions are set to calculate 10 electrochemical heat generation amount values respectively. Then, between the 10 heating conditions and between the 10 electrochemical heat generation amount values, bilinear interpolation is performed at the same proportional change interval to obtain the mapping relationship between the heating conditions and the electrochemical heat generation amount under the lithium iron phosphate system. Finally, using this mapping relationship, an electrochemical heat generation database corresponding to different heating conditions under the lithium iron phosphate system can be created. The same operation method is also applicable to the lithium nickel cobalt manganese oxide, cobalt-free, and medium-nickel high voltage systems.

[0037] In the subsequent data matching process, first, according to the battery chemistry system of the battery design model, find the target electrochemical heat generation database with the same electrochemical system as the current model from the multiple created electrochemical heat generation databases; then input the target heating condition into the target electrochemical heat generation database, and the electrochemical heat generation amount corresponding to the target heating condition can be retrieved from the target electrochemical heat generation database according to the corresponding relationship.

[0038] Then, by a principle similar to that of steps one to two, a joule heat database of the structural member is created. The joule heat Q2 of the structural member is generated when the current passes through the structural member during battery charging and discharging. Q2 = I 2 *R*t, where I represents the current passing through the structural member, t represents the energization time, R represents the resistance of the structural member, and the cross-sectional area, mass, thickness, and material of the structural member are the key factors for calculating the resistance of the structural member. First, calculate the corresponding joule heat using a variety of energization currents, energization times, and structural member resistances, and then perform equal-proportion linear interpolation on the four dimensions of resistance, energization current, energization time, and joule heat to obtain the curves of the joule heat changing with the resistance, energization current, and energization time respectively. Then, create a joule heat database of the structural member through a large amount of data obtained from the curves.

[0039] In the subsequent process of data matching, first determine the current resistance of the battery design model according to the battery structure parameters. The current resistance R = ρ * L / S, where ρ represents the resistivity, L represents the resistance length, and S represents the current-carrying area. The key to calculating Q2 lies in decomposing the material, thickness, length, and current-carrying area of different structural components. The material is used to determine the resistivity. Through the detailed structural parameters of the battery model, a highly accurate battery resistance can be calculated, and the current and energization time can be obtained from the heating conditions input by the user. Then, according to the relationship between resistance, current, energization time, and Joule heat, the corresponding Joule heat of the structural component is found in the structural component Joule heat database to achieve a rapid assessment of the heat.

[0040] In addition, the heat generation database also includes the convective heat transfer formula and the radiative heat transfer formula. In the subsequent data matching process, determine the current heating temperature from the target heating conditions, and determine the current heat transfer area from the battery structure parameters (the battery heat dissipation mainly focuses on two structural components, the housing and the cover plate. Therefore, in this embodiment, the battery heat dissipation is calculated through the structural component parameters of the housing and the cover plate); then input the current heating temperature and the current heat transfer area into the convective heat transfer formula and the radiative heat transfer formula respectively, and the convective heat transfer amount and the radiative heat transfer amount can be calculated. Among them, the convective heat transfer amount Q 3-1 = A * h * Δt. In the formula, A represents the heat transfer area, h represents the convective heat transfer surface heat transfer coefficient, and Δt represents the temperature difference between the upper surface temperature of the heat transfer surface and the external environment. The radiative heat transfer amount Q 3-2 = σT 4 = C0(T / 100) 4 , where σ is the blackbody radiation constant, with a value of 5.67×10 -8 W / (m 2 .K 4 ), C0 is called the blackbody radiation coefficient, with a value of 5.67W / (m 2 .K 4 ), and finally determine the external heat transfer amount Q3 = Q 3-1 +Q 3-2 .

[0041] Through the heat generation database created in this embodiment, the influence of the battery chemical system and the heat generation of the battery structural components is fully considered, and the heat generation and heat dissipation corresponding to a large number of specific parameters in the battery chemical system and the battery structure are calculated separately. Finally, the overall heat generation of the battery is obtained by synthesizing the heat generation and heat dissipation values of each specific parameter. On the basis of realizing a rapid assessment of the battery heat generation, the accuracy of the battery heat generation assessment is also improved.

[0042] Specifically, in one embodiment, before the above step S102, the method for obtaining the battery heat generation provided by the embodiment of the present invention further includes the following steps:

[0043] Step 6: Determine the current battery size of the battery design model and obtain a preset heat generation database belonging to the current battery size.

[0044] Specifically, the preset heat generation database in this embodiment is also classified according to the size specifications of the battery, and the categories include but are not limited to the MEB standard size, the VDA standard size, and the blade specification size. Therefore, when performing an evaluation in the battery heat generation evaluation system, first select the database corresponding to the current battery size from a large number of databases according to the size of the current battery, and then perform a data matching operation, reducing the number of retrievals in the database and further improving the efficiency of obtaining battery heat generation.

[0045] Specifically, in one embodiment, the method for obtaining battery heat generation provided by the embodiments of the present invention further includes the following steps:

[0046] Step 7: Display the battery heat generation amount, the target heating condition, the battery chemical system, and the battery structure parameters on the popped-up display page.

[0047] Step 8: Detect whether there is a modification operation on the display controls that display the target heating condition, the battery chemical system, and the battery structure parameters on the display page.

[0048] Step 9: If there is a modification operation on the display control, then update the displayed battery heat generation amount in response to the modification operation.

[0049] Specifically, in this embodiment, after a heat generation evaluation is performed on the designed battery model, a display page pops up and is displayed on the device where the evaluation system is located. The display page displays the final battery heat generation amount, and also displays the target heating condition input by the user, the parsed battery chemical system, and the battery structure parameters in a modifiable manner on the page. The background continuously detects whether there is a modification operation on the display controls that display the target heating condition, the battery chemical system, and the battery structure parameters. Once the user modifies the target heating condition, the battery chemical system, or the battery structure parameter from the outside, the data for the modified part is automatically rematched from the heat generation database, and the displayed final battery heat generation amount is updated. Therefore, when the output battery heat generation amount does not meet the design requirements, only the corresponding parameters need to be modified, and the temperature distribution at different positions of the battery can be quickly calculated, realizing a rapid evaluation of the battery temperature. There is no need to re-import the battery design model, shortening the design cycle and further improving the efficiency of obtaining battery heat generation.

[0050] Through the above steps, the technical solution provided by the present application pre-creates a database based on the battery heat generation amounts caused by different battery chemical system parameters and battery structure parameters under different heat generation conditions to obtain a heat generation database. Then, during the battery design stage, the battery design model is parsed and split into components to parse out the battery chemical system parameters and battery structure parameters in the battery design model, and the target heat generation condition of the battery is input. Then, according to the parsed parameters and the input heat generation condition, the corresponding results are directly searched from the heat generation database to obtain the heat generation of the battery chemical system (electrochemical heat generation), the battery structure heat generation caused by the current passing through the battery structure (structural component Joule heat), and the battery heat dissipation (external heat exchange amount). Finally, by calculating the sum of the heat generation and the heat dissipation, the battery heat generation amount finally corresponding to the battery design model can be obtained. On the one hand, there is no need to wait for the production of the battery finished product for experiments. On the other hand, there is no need to conduct a large number of model experiments, and there is no calculation of experimental equations. Only simple search and lookup are required to determine the final battery heat generation amount, which greatly improves the efficiency of obtaining battery heat generation.

[0051] As Figure 3 shown, this embodiment also provides a device for obtaining battery heat generation, and the device includes:

[0052] A model parsing module 101, configured to scan and import a battery design model, and parse out battery chemical system parameters and battery structure parameters from the battery design model. For detailed content, refer to the relevant description of step S101 in the above method embodiment, and details will not be repeated here.

[0053] A matching module 102, configured to receive an input target heat generation condition, and match the electrochemical heat generation amount, the structural component Joule heat amount, and the external heat exchange amount from a preset heat generation database based on the target heat generation condition, battery chemical system, and battery structure parameters. For detailed content, refer to the relevant description of step S102 in the above method embodiment, and details will not be repeated here.

[0054] A heat generation calculation module 103, configured to fuse the electrochemical heat generation amount, the structural component Joule heat amount, and the external heat exchange amount to determine the battery heat generation amount corresponding to the battery design model. For detailed content, refer to the relevant description of step S103 in the above method embodiment, and details will not be repeated here.

[0055] The device for obtaining battery heat generation provided by the embodiment of the present invention is used to execute the method for obtaining battery heat generation provided by the above embodiment, and its implementation manner and principle are the same. For detailed content, refer to the relevant description of the above method embodiment, and details will not be repeated.

[0056] Through the collaborative cooperation of the above-mentioned various components, the technical solution provided by this application pre-creates a database based on the battery heat generation amounts caused by different battery chemical system parameters and battery structure parameters under different heat generation conditions to obtain a heat generation database. Subsequently, during the battery design stage, the battery design model is parsed and split into components to parse out the battery chemical system parameters and battery structure parameters in the battery design model, and the target heat generation conditions of the battery are input. Then, according to the parsed parameters and the input heat generation conditions, the corresponding results are directly searched for in the heat generation database to obtain the heat generation of the battery chemical system (electrochemical heat generation), the battery structure heat generation caused by the current passing through the battery structure (structural component Joule heat), and the battery heat dissipation (external heat exchange amount). Finally, by calculating the sum of the heat generation and the heat dissipation, the final battery heat generation amount corresponding to the battery design model can be obtained. On the one hand, there is no need to wait for the production of battery finished products for experiments. On the other hand, there is no need to conduct a large number of model experiments, and there is no calculation of experimental equations. Only simple searching is required to determine the final battery heat generation amount, which greatly improves the efficiency of obtaining battery heat generation.

[0057] Figure 4 Fig. shows an electronic device according to an embodiment of the present invention. The device includes a processor 901 and a memory 902, which can be connected through a bus or other means. Figure 4 Taking the connection through the bus as an example.

[0058] The processor 901 can be a central processing unit (CPU). The processor 901 can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. chips, or combinations of the above various types of chips.

[0059] The memory 902, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the above method embodiments. The processor 901 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory 902, that is, to implement the methods in the above method embodiments.

[0060] The memory 902 may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function. The data storage area may store data created by the processor 901 and the like. In addition, the memory 902 may include high-speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory 902 may optionally include a memory remotely disposed relative to the processor 901, and these remote memories may be connected to the processor 901 through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0061] One or more modules are stored in the memory 902 and, when executed by the processor 901, perform the methods in the above method embodiments.

[0062] For the specific details of the above electronic device, reference may be made to the corresponding related descriptions and effects in the above method embodiments for understanding, and details are not described herein again.

[0063] Those skilled in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The implemented program can be stored in a computer-readable storage medium. When the program is executed, it may include the processes of the above method embodiments. Among them, the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD), etc.; the storage medium may also include a combination of the above types of memories.

[0064] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A method for obtaining battery heat generation, characterized in that, The method includes: Scanning the imported battery design model and parsing out battery chemical system parameters and battery structure parameters from the battery design model; Receiving the input target heating condition, and matching the electrochemical heat generation amount, the joule heat amount of the structural member, and the external heat exchange amount from a preset heat generation database based on the target heating condition, the battery chemical system parameters, and the battery structure parameters; the preset heat generation database is obtained in the following manner: calculating the electrochemical heat generation amounts corresponding to a number of preset heating conditions based on the P2D model under a preset system, where the preset system includes at least one of lithium iron phosphate, lithium nickel cobalt manganese oxide, cobalt-free, and medium-nickel high voltage; performing equal-proportion linear interpolation on the number of preset heating conditions and the corresponding simulated electrochemical heat generation amounts respectively, and creating the electrochemical heat generation database of the preset system based on the obtained first interpolation result; obtaining a number of groups of internal energy parameters, and calculating a plurality of joule heat amounts based on each group of internal energy parameters, where the internal energy parameters include resistance, energized current, and energized time; performing equal-proportion linear interpolation on the four dimensions of resistance, energized current, energized time, and joule heat amount, and creating a joule heat amount database for the structural member according to the obtained second interpolation result; forming the preset heat generation database based on the electrochemical heat generation database, the joule heat amount database, the convective heat transfer formula, and the radiative heat transfer formula; Fusing the electrochemical heat generation amount, the joule heat amount of the structural member, and the external heat exchange amount to determine the battery heat generation amount corresponding to the battery design model.

2. The method according to claim 1, characterized in that, The parsing out battery chemical system parameters and battery structure parameters from the battery design model includes: Reading the battery chemical system and battery capacity of the battery design model as the battery chemical system parameters; Locating the battery structural members in the battery design model, and reading the heat exchange area, current-carrying area, mass, thickness, and material of the battery structural members as the battery structure parameters, where the battery structural members include tabs, connecting plates, terminal posts, housings, and covers.

3. The method according to claim 1, characterized in that, The target heating condition includes heating temperature, energized current, and energized time.

4. The method according to claim 1, characterized in that, The matching of the electrochemical heat generation amount, the joule heat amount of the structural member, and the external heat exchange amount from the preset heat generation database based on the target heating condition, the battery chemical system parameters, and the battery structure parameters includes: Finding the target electrochemical heat generation database from the created electrochemical heat generation database based on the battery chemical system parameters; Inputting the target heating condition into the target electrochemical heat generation database, and retrieving the electrochemical heat generation amount corresponding to the target heating condition from the target electrochemical heat generation database; Determining the current resistance based on the battery structure parameters, and determining the current energized current and current energized time from the target heating condition; Retrieving the corresponding joule heat amount of the structural member from the joule heat amount database for the structural member according to the current resistance, current energized current, and current energized time; Determining the current heating temperature from the target heating condition, and determining the current heat exchange area from the battery structure parameters; Input the current heating temperature and the current heat transfer area into the convective heat transfer formula and the radiative heat transfer formula respectively to calculate the convective heat transfer amount and the radiative heat transfer amount; Determine the external heat transfer amount based on the sum of the convective heat transfer amount and the radiative heat transfer amount.

5. The method according to claim 1, characterized in that, The preset heat generation database is classified according to the battery size. Before matching the electrochemical heat generation amount, the joule heat amount of the structural member, and the external heat transfer amount from the preset heat generation database based on the target heating condition, the battery chemical system parameters, and the battery structure parameters, the method further includes: Determine the current battery size of the battery design model, and obtain the preset heat generation database belonging to the current battery size.

6. The method according to claim 1, characterized in that, The method further includes: Display the battery heat generation amount, the target heating condition, the battery chemical system, and the battery structure parameters on the popped-up display page; Detect whether there is a modification operation on the display control for displaying the target heating condition, the battery chemical system, and the battery structure parameters on the display page; If there is a modification operation on the display control, update the displayed battery heat generation amount in response to the modification operation.

7. A device for obtaining battery heat generation, characterized in that, The device includes: A model parsing module, configured to scan the imported battery design model, and parse the battery chemical system parameters and the battery structure parameters from the battery design model; A matching module, configured to receive the input target heating condition, and match the electrochemical heat generation amount, the joule heat amount of the structural member, and the external heat transfer amount from the preset heat generation database based on the target heating condition, the battery chemical system parameters, and the battery structure parameters; the preset heat generation database is obtained by the following method: calculating the electrochemical heat generation amounts corresponding to several preset heating conditions based on the P2D model under a preset system, where the preset system includes at least one of lithium iron phosphate, lithium nickel cobalt manganese oxide, cobalt-free, and medium nickel high voltage; performing equal-proportion linear interpolation on the several preset heating conditions and the corresponding simulated electrochemical heat generation amounts respectively, and creating the electrochemical heat generation database of the preset system based on the obtained first interpolation result; obtaining several groups of internal energy parameters, and calculating a plurality of joule heat amounts based on each group of internal energy parameters, where the internal energy parameters include resistance, energized current, and energized time; performing equal-proportion linear interpolation on the four dimensions of resistance, energized current, energized time, and joule heat amount, and creating a structural member joule heat amount database according to the obtained second interpolation result; forming the preset heat generation database based on the electrochemical heat generation database, the joule heat amount database, the convective heat transfer formula, and the radiative heat transfer formula; A heat generation calculation module, configured to fuse the electrochemical heat generation amount, the joule heat amount of the structural member, and the external heat transfer amount to determine the battery heat generation amount corresponding to the battery design model.

8. An electronic device, characterized in that, Including: A memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute the method according to any one of claims 1-6.

Images