Method and device for determining design model of power battery box body

Abstract

The invention provides a determination method and a determination device for a power battery box body design model. The determination method comprises the following steps: obtaining design parameters of a to-be-designed power battery box body; determining at least one power battery box body design model corresponding to the design parameters from a power battery box body model library based on the design parameters; wherein the power battery box body model library comprises a plurality of pre-constructed power battery box body original models, and the design parameter characteristic value of each power battery box body original model is determined through a pre-trained characteristic value determination model. According to the method and the device, various battery box body design models can be quickly obtained by inputting the design parameters of different to-be-designed power battery box bodies, so that the development speed of the power battery box bodies is increased, the agile design of the power battery box bodies is realized, and the development period of power batteries is shortened.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a method and device for determining a design model of a power battery box. Background Art

[0002] New energy vehicles have the advantages of being green and environmentally friendly. Power batteries are developing rapidly. It is a key problem to quickly design power batteries with high strength, light weight, good safety, low cost and high reliability. As an important component of power batteries, the power battery box plays multiple roles, such as protecting the battery cells, fixing high and low voltage electrical parts, ensuring sealing, and connecting the whole vehicle. Therefore, promoting the agile design of power battery boxes is of great significance to speeding up the production of power batteries.

[0003] Currently in the power battery industry, the development cycle of power battery boxes is long and requires a lot of manpower and material resources. Therefore, how to quickly determine the design model of the power battery box to speed up the development of the power battery box has become a technical issue that cannot be underestimated. Summary of the invention

[0004] In view of this, the purpose of the present application is to provide a method and a device for determining a power battery case design model. By inputting design parameters of different power battery cases to be designed, a variety of battery case design models can be quickly obtained to speed up the development of the power battery case, thereby realizing agile design of the power battery case and shortening the development cycle of the power battery.

[0005] In a first aspect, an embodiment of the present application provides a method for determining a power battery box design model, the method comprising:

[0006] Obtain design parameters of the power battery box to be designed;

[0007] Based on the design parameters, at least one power battery case design model corresponding to the design parameters is determined from a power battery case model library; wherein the power battery case model library includes a plurality of pre-built power battery case original models, and the design parameter feature values ​​of each power battery case original model are determined by a pre-trained feature value determination model.

[0008] Furthermore, the design parameters include outer envelope space parameters, inner envelope space parameters, box structure form parameters, product design rule parameters, product function performance parameters and box manufacturing feasibility parameters of the power battery box to be designed.

[0009] Further, the determining, based on the design parameters, at least one power battery case design model corresponding to the design parameters from a power battery case model library comprises:

[0010] Determine the initial structure of the power battery case to be designed based on the outer envelope space parameters and the inner envelope space parameters, and select a first candidate model from a plurality of power battery case original models in the power battery case model library based on the initial structure; wherein the case structure of the first candidate model is the initial structure;

[0011] Determine, based on the box structure form parameters, a second candidate model corresponding to the box structure form parameters from the first candidate models;

[0012] Determining a third candidate model corresponding to the product design rule parameter from the second candidate model based on the product design rule parameter;

[0013] Determine, based on the product function performance parameters, a fourth candidate model corresponding to the product function performance parameters from the third candidate model;

[0014] At least one power battery case design model is determined from the fourth candidate models based on the case manufacturing feasibility parameters.

[0015] Furthermore, each power battery box original model in the power battery box model library is constructed through the following steps:

[0016] Obtain product design data for multiple power battery boxes;

[0017] For each power battery box product design data, the power battery box product design data is input into the characteristic value determination model to determine the corresponding design parameter characteristic value, and the power battery box original model corresponding to the power battery box product design data is generated based on the design parameter characteristic value.

[0018] Furthermore, the feature value determination model is trained by the following steps:

[0019] Acquire multiple product design sample data and design parameter sample characteristic values ​​corresponding to each product design sample data;

[0020] For each product design sample data, the product design sample data is input into the original characteristic value determination model to determine the preset characteristic value of the design parameter corresponding to the product design sample data;

[0021] Compare the sample characteristic value of the design parameter corresponding to each product design sample data with the preset characteristic value of the design parameter, and calculate the loss function of the original determination model of the characteristic value in the current state;

[0022] Based on the loss function of the original eigenvalue determination model, the model parameters of the original eigenvalue determination model are continuously adjusted until the original eigenvalue determination model reaches a convergence state, thereby obtaining the eigenvalue determination model.

[0023] Further, after determining at least one power battery case design model corresponding to the design parameters from a power battery case model library based on the design parameters, the determination method further includes:

[0024] For each power battery box design model, obtain a review score after review and analysis of the power battery box design model;

[0025] Based on the review scores corresponding to each power battery box design model, a power battery box target model with the highest review score is determined from at least one of the power battery box design models.

[0026] In a second aspect, an embodiment of the present application further provides a device for determining a power battery box design model, the device comprising:

[0027] A design parameter acquisition module, used to obtain the design parameters of the power battery box to be designed;

[0028] A design model determination module is used to determine at least one power battery case design model corresponding to the design parameters from a power battery case model library based on the design parameters; wherein the power battery case model library includes a plurality of pre-built power battery case original models, and the design parameter feature value of each power battery case original model is determined by a pre-trained feature value determination model.

[0029] Furthermore, the design parameters include outer envelope space parameters, inner envelope space parameters, box structure form parameters, product design rule parameters, product function performance parameters and box manufacturing feasibility parameters of the power battery box to be designed.

[0030] In a third aspect, an embodiment of the present application further provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory through the bus, and when the machine-readable instructions are executed by the processor, the steps of the method for determining the power battery case design model as described above are performed.

[0031] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method for determining the power battery case design model as described above are executed.

[0032] A method and device for determining a power battery case design model provided in an embodiment of the present application include: first, obtaining design parameters of a power battery case to be designed; then, based on the design parameters, determining at least one power battery case design model corresponding to the design parameters from a power battery case model library; wherein the power battery case model library includes a plurality of pre-constructed power battery case original models, and the design parameter feature values ​​of each power battery case original model are determined by a pre-trained feature value determination model.

[0033] The present application can quickly obtain a variety of battery case design models by inputting design parameters of different power battery cases to be designed, so that the user can determine the design scheme of the power battery case to be designed according to the power battery case design model, and develop the power battery case to be designed according to the power battery case design model. By quickly determining the design model of the power battery case, the development speed of the power battery case can be accelerated, so as to realize the agile design of the power battery case and shorten the development cycle of the power battery.

[0034] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 A flowchart of a method for determining a power battery box design model provided in an embodiment of the present application;

[0037] Figure 2 One of the structural schematic diagrams of a device for determining a power battery box design model provided in an embodiment of the present application;

[0038] Figure 3 A second structural schematic diagram of a device for determining a power battery box design model provided in an embodiment of the present application;

[0039] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application usually described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work belongs to the scope of protection of the present application.

[0041] First, the application scenarios to which the present application is applicable are introduced. The present application can be applied in the field of battery technology.

[0042] New energy vehicles have the advantages of being green and environmentally friendly. Power batteries are developing rapidly. It is a key problem to quickly design power batteries with high strength, light weight, good safety, low cost and high reliability. As an important component of power batteries, the power battery box plays multiple roles, such as protecting the battery cells, fixing high and low voltage electrical parts, ensuring sealing, and connecting the whole vehicle. Therefore, promoting the agile design of power battery boxes is of great significance to speeding up the production of power batteries.

[0043] Research has found that in the current power battery industry, the development cycle of power battery boxes is long and requires a lot of manpower and material resources. Therefore, how to quickly determine the design model of the power battery box to speed up the development of the power battery box has become a technical issue that cannot be underestimated.

[0044] Based on this, an embodiment of the present application provides a method for determining a power battery case design model, which quickly determines the design model of the power battery case to speed up the development of the power battery case, thereby realizing agile design of the power battery case and shortening the development cycle of the power battery.

[0045] See also Figure 1 , Figure 1 This is a flow chart of a method for determining a power battery box design model provided in an embodiment of the present application. Figure 1 As shown in , the determination method provided in the embodiment of the present application includes:

[0046] S101, obtaining design parameters of a power battery box to be designed.

[0047] For the above step S101, in the specific implementation, the design parameters of the power battery box to be designed are obtained. Specifically, according to the embodiment provided by the present application, the design parameters of the power battery box to be designed include the outer envelope space parameters, inner envelope space parameters, box structure form parameters, product design rule parameters, product function performance parameters and box manufacturing feasibility parameters of the power battery box to be designed.

[0048] S102: Determine at least one power battery case design model corresponding to the design parameter from a power battery case model library based on the design parameter.

[0049] The power battery box model library includes multiple pre-built power battery box primitive models, and the design parameter characteristic values ​​of each power battery box primitive model are determined by a pre-trained characteristic value determination model. Here, the design parameter characteristic values ​​include the outer envelope space X, inner envelope space Y, product design rules M, functional performance requirements N and manufacturing feasibility requirements K of the power battery box.

[0050] With respect to the above step S102, in the specific implementation, at least one power battery case design model corresponding to the design parameters is determined from the power battery case model library based on the design parameters obtained in step S101. In this way, according to the product development and design input, the design parameters of the power battery case to be designed are confirmed, and the product design of the power battery case to be designed is completed using the trained power battery case model library, and at least one power battery case design model is output. In this way, the user can determine the design scheme of the power battery case to be designed according to the power battery case design model, and develop the power battery case to be designed according to the power battery case design model.

[0051] As an optional embodiment, each power battery box original model in the power battery box model library is constructed by the following steps:

[0052] A: Obtain product design data for multiple power battery boxes.

[0053] B: For each power battery box product design data, the power battery box product design data is input into the characteristic value determination model to determine the corresponding design parameter characteristic value, and the power battery box original model corresponding to the power battery box product design data is generated based on the design parameter characteristic value.

[0054] In the specific implementation of the above steps A-B, multiple power battery case product design data are obtained. For each power battery case product design data, the power battery case product design data is input into the characteristic value determination model to determine the corresponding design parameter characteristic value, and the power battery case original model corresponding to the power battery case product design data is generated based on the design parameter characteristic value.

[0055] Specifically, according to the embodiment provided by this application, firstly, according to external input, confirm the outer envelope space X of the power battery box to be designed and the inner envelope space Y of the power battery; according to past project experience and design scheme accumulation, confirm the box structure form Z; according to project experience, design specifications, technical conditions, DFMEA, problem avoidance and other knowledge accumulation, transform them into product design rules M; the product scheme designed according to the power battery box design model must also meet the mechanical reliability, thermal safety, electrical safety, sealing, environmental resistance, etc. of the battery pack, as well as the manufacturing feasibility requirements. Therefore, the functional performance requirements N and the manufacturing feasibility requirements K are introduced to generate the power battery box model, which is expressed as follows:

[0056] F{X,Y,Z,M,N}

[0057] F={f1,f2,f3...}

[0058] X={x1,x2,x3…}

[0059] Y={y1,y2,y3…}

[0060] Z={z1,z2,z3…}

[0061] M={m1,m2,m3…}

[0062] N={n1,n2,n3…}

[0063] K = {k1, k2, k3 ...}

[0064] Among them, F is the power battery box model.

[0065] Among them, f1, f2, f3... are different power battery box models; x1, x2, x3... are different external envelope spaces, y1, y2, y3... are different internal envelope spaces; z1, z2, z3... are different box structure forms; m1, m2, m3... are different product design rules.

[0066] The outer envelope space includes but is not limited to the maximum outer envelope size of the box x 11 , hanging points matching the vehicle floor, door sill, etc. 12 , connection points that match the vehicle's underbody guard, exterior trim, wheel covers, wiring harnesses, etc. 13, interface installation points such as high-pressure connectors, low-pressure connectors, water inlet and outlet pipes, etc. that match the vehicle 14 , some of the fixing points of functional components such as explosion-proof valves and breathable valves fixed on the box body x 15 .

[0067] The inner envelope space includes but is not limited to the module (cell) envelope and the installation point y 11 , battery master / slave control unit envelope and installation point 12 , the envelope and installation points of safety protection components 13 , Envelope and installation point of low voltage wire harness 14 , the envelope of the connecting strip and the mounting point y 15 , Envelope and installation point of high voltage electrical disconnection unit 16 .

[0068] The box structure includes but is not limited to a steel plate stamping box. 11 , aluminum stamping box 12 , Aluminum profile box 13 , steel roller box 14 , non-metallic box 15 , die-cast aluminum housing 16 .

[0069] The product design rules include but are not limited to vehicle development inspection clearance inspection m 11 , power battery development inspection internal clearance inspection m 12 , Check of lifting and transport equipmentm 13 , assembly space verification m 14 , Standard parts selection and verification 15 , dimensional chain check m 16 .

[0070] The product functional performance requirements include but are not limited to the requirements for the entire package modality n 11 , the whole package bottom protection requirements 12 , Mechanical shock requirement for the whole package n 13 , the whole package extrusion requirements n 14 , random vibration requirement for the whole package n 15 , battery cell expansion force requirement n 16 , the whole package sealing requirements 17 .

[0071] The feasibility of manufacturing the lower box includes but is not limited to requiring 3D data interference (repetition, missing parts) inspection. 11 , connection (welding, riveting, screwing, etc.) relationship inspection k 12 , rationality check of molding process (stamping, machining, casting) 13 , product special performance (airtightness, flame retardancy, insulation, etc.) requirements14 .

[0072] Here, deep learning technology is used to establish an eigenvalue determination model. As an example, the eigenvalue determination model can be a deep neural network algorithm model, which is not specifically limited in this application. Multiple power battery box product design data are input, and the parameter eigenvalue of each design parameter is determined by the eigenvalue determination model, and the original power battery box model corresponding to each power battery box product design data is generated based on the design parameter eigenvalue, and finally a mature, stable and reliable power battery box model library is obtained.

[0073] Specifically, the feature value determination model is trained through the following steps:

[0074] a: Obtain multiple product design sample data and the design parameter sample characteristic value corresponding to each product design sample data.

[0075] b: For each product design sample data, the product design sample data is input into the original characteristic value determination model to determine the preset characteristic value of the design parameter corresponding to the product design sample data.

[0076] Here, the design parameter sample characteristic values ​​also include the various design parameters mentioned above, which will not be described in detail here.

[0077] In the specific implementation of the above steps a and b, a plurality of product design sample data and a design parameter sample characteristic value corresponding to each product design sample data are obtained. For each product design sample data, the product design sample data is input into the characteristic value original determination model to determine the preset characteristic value of the design parameter corresponding to the product design sample data predicted by the characteristic value original determination model.

[0078] c: Compare the design parameter sample characteristic value corresponding to each product design sample data with the design parameter preset characteristic value, and calculate the loss function of the original determination model of the characteristic value in the current state.

[0079] d: Based on the loss function of the original eigenvalue determination model, the model parameters of the original eigenvalue determination model are continuously adjusted until the original eigenvalue determination model reaches a convergence state, thereby obtaining the eigenvalue determination model.

[0080] For the above steps c-d, in the specific implementation, for each product design sample data, the design parameter sample characteristic value of the product design sample data is compared with the preset characteristic value of the design parameter, and the prediction of the original characteristic value determination model is judged by comparing the design parameter sample characteristic value of the product design sample data with the preset characteristic value of the design parameter. When the design parameter sample characteristic value of the product design sample data is different from the preset characteristic value of the design parameter, it is considered that the prediction of the original characteristic value determination model is inaccurate. At this time, it is necessary to calculate the loss function of the original characteristic value determination model in the current state. The method of calculating the loss function is described in detail in the prior art, and will not be described in detail here. Then the model parameters of the original characteristic value determination model are continuously adjusted, and the original characteristic value determination model will continuously minimize the loss through iteration. At each step of the iteration, the loss value of the original characteristic value determination model will be calculated. When the loss value of the original characteristic value determination model cannot reach the loss threshold, the model parameters of the original characteristic value determination model are continuously updated, and the new parameters will calculate a new loss value, so that the loss value shows a trend of fluctuating downward during the iteration process. Finally, when the loss value reaches smoothness, that is, the loss value of the trained eigenvalue original determination model is not greater than the loss threshold, that is, when the loss value does not decrease significantly compared with the loss value calculated last time, it is considered that the eigenvalue original determination model has reached a convergence state. At this time, the prediction of the eigenvalue original determination model is more accurate. At this time, the training is ended and the eigenvalue determination model is obtained.

[0081] Specifically, with respect to the above step S102, determining at least one power battery case design model corresponding to the design parameter from a power battery case model library based on the design parameter includes:

[0082] Step 1021 : determining the initial structure of the power battery case to be designed based on the outer envelope space parameters and the inner envelope space parameters, and selecting a first candidate model from a plurality of power battery case original models in the power battery case model library based on the initial structure.

[0083] Among them, the box structure of the first candidate model is the initial structure.

[0084] For the above step 1021, in the specific implementation, the basic size and structure of the power battery case to be designed, that is, the initial structure, are determined based on the externally input outer envelope space parameters and inner envelope space parameters, and based on the initial structure, the case structure is screened out from multiple power battery case original models in the power battery case model library as the first candidate model for the initial structure.

[0085] Step 1022: Determine a second candidate model corresponding to the box structure form parameters from the first candidate models based on the box structure form parameters.

[0086] For the above step 1022, in the specific implementation, based on the box structure form parameters, the second candidate model corresponding to the box structure form parameters is determined from the first candidate model. Here, as an example, considering the project platform requirements and supplier resources, the box structure form parameters select the aluminum profile box z 13 , according to the aluminum profile box 13 Determine the second candidate model f1~f of the same aluminum profile box in the power battery box model library 100 .

[0087] Step 1023: Determine a third candidate model corresponding to the product design rule parameter from the second candidate models based on the product design rule parameter.

[0088] For the above step 1023, in the specific implementation, based on the product design rule parameter, a third candidate model corresponding to the product design rule parameter is determined from the second candidate model. Here, as an example, when the product design rule parameter is the vehicle development inspection gap inspection m 11 ≥10mm, power battery development inspection internal clearance inspection m 12 ≥5mm, according to the product design rule parameters, the second candidate model f1~f 100 The third candidate models f1 to f1 with the same product design rule parameters are determined 30 .

[0089] Step 1024: Determine a fourth candidate model corresponding to the product function performance parameter from the third candidate model based on the product function performance parameter.

[0090] For the above step 1024, in the specific implementation, based on the product function performance parameters, a fourth candidate model corresponding to the product function performance parameters is determined from the third candidate model. Here, as an example, when the product function performance parameters are the whole package modal requirements n 11 ≥35Hz, preferably ≥45Hz, the bottom protection requirement of the whole package is n 12 ≥300J, mechanical impact requirement for the whole package 13 、Whole package extrusion requirements 14 、Random vibration requirements for the whole package n 15 All are implemented according to GB 38031 standard, and the battery expansion force requirement is n 16 ≥50KN, the whole package sealing requirement is n 17 When IPX7 is reached, select the third candidate model f1 to f2 according to the product function performance parameters. 30 The fourth candidate model f1~f is determined 10 .

[0091] Step 1025: Determine at least one power battery case design model from the fourth candidate models based on the case manufacturing feasibility parameters.

[0092] For the above step 1025, in the specific implementation, at least one power battery box design model is determined from the fourth candidate model based on the box manufacturing feasibility parameters. Here, as an example, when the box manufacturing feasibility parameters are that the 3D data cannot interfere, repeat, or have missing parts, whether the welding of each component is grooved, whether the welding gun is accessible, whether the welding is continuous, whether the key parts of the lower box are insulated, etc., the fourth candidate model f1~f2 is selected according to the box manufacturing feasibility parameters. 10 To determine the power battery box design models f1~f5.

[0093] As an optional embodiment, after determining at least one power battery case design model corresponding to the design parameters from a power battery case model library based on the design parameters in the above step S102, the determination method further includes:

[0094] I: For each power battery case design model, obtain a review score after review and analysis of the power battery case design model.

[0095] II: Based on the review scores corresponding to each power battery case design model, a power battery case target model with the highest review score is determined from at least one of the power battery case design models.

[0096] Here, the review and analysis includes cost analysis of the power battery box design model, mass production feasibility analysis, modular development needs analysis, supplier resource analysis, etc. The review and analysis are conducted manually to determine the review score after the review and analysis.

[0097] For the above steps I to II, in the specific implementation, for each power battery case design model, obtain the review score after manual review and analysis of the power battery case design model. Based on the review score corresponding to each power battery case design model, determine the power battery case target model with the highest review score from at least one of the power battery case design models. In this way, the optimal power battery case target model is determined from at least one power battery case design model through the review score, so as to determine the design scheme of the power battery case to be designed according to the power battery case target model.

[0098] The method for determining the power battery case design model provided in the embodiment of the present application first obtains the design parameters of the power battery case to be designed; then, based on the design parameters, at least one power battery case design model corresponding to the design parameters is determined from a power battery case model library; wherein the power battery case model library includes a plurality of pre-built power battery case original models, and the design parameter feature values ​​of each power battery case original model are determined by a pre-trained feature value determination model.

[0099] The present application can quickly obtain a variety of battery case design models by inputting design parameters of different power battery cases to be designed, so that the user can determine the design scheme of the power battery case to be designed according to the power battery case design model, and develop the power battery case to be designed according to the power battery case design model. By quickly determining the design model of the power battery case, the development speed of the power battery case can be accelerated, so as to realize the agile design of the power battery case and shorten the development cycle of the power battery.

[0100] See also Figure 2 , Figure 3 , Figure 2 This is one of the structural schematic diagrams of a device for determining a power battery box design model provided in an embodiment of the present application, Figure 3 This is a second structural diagram of a device for determining a power battery box design model provided in an embodiment of the present application. Figure 2 As shown in , the determining device 200 includes:

[0101] A design parameter acquisition module 201 is used to acquire design parameters of the power battery box to be designed;

[0102] The design model determination module 202 is used to determine at least one power battery case design model corresponding to the design parameters from the power battery case model library based on the design parameters; wherein the power battery case model library includes a plurality of pre-built power battery case original models, and the design parameter feature value of each power battery case original model is determined by a pre-trained feature value determination model.

[0103] Furthermore, the design parameters include outer envelope space parameters, inner envelope space parameters, box structure form parameters, product design rule parameters, product function performance parameters and box manufacturing feasibility parameters of the power battery box to be designed.

[0104] Further, when the design model determination module 202 is used to determine at least one power battery box design model corresponding to the design parameters from the power battery box model library based on the design parameters, the design model determination module 202 is also used to:

[0105] Determine the initial structure of the power battery case to be designed based on the outer envelope space parameters and the inner envelope space parameters, and select a first candidate model from a plurality of power battery case original models in the power battery case model library based on the initial structure; wherein the case structure of the first candidate model is the initial structure;

[0106] Determining a second candidate model corresponding to the box structure form parameters from the first candidate models based on the box structure form parameters;

[0107] Determining a third candidate model corresponding to the product design rule parameter from the second candidate model based on the product design rule parameter;

[0108] Determine, based on the product function performance parameters, a fourth candidate model corresponding to the product function performance parameters from the third candidate model;

[0109] At least one power battery case design model is determined from the fourth candidate models based on the case manufacturing feasibility parameters.

[0110] See also Figure 3 The determining device 200 further includes a design model building module 203, and the design model building module 203 is used to build each power battery box original model in the power battery box model library through the following steps:

[0111] Obtain product design data for multiple power battery boxes;

[0112] For each power battery box product design data, the power battery box product design data is input into the characteristic value determination model to determine the corresponding design parameter characteristic value, and the power battery box original model corresponding to the power battery box product design data is generated based on the design parameter characteristic value.

[0113] See also Figure 3 The determining device 200 further includes a model training module 204, and the model training module 204 is used to train the feature value determination model through the following steps:

[0114] Acquire multiple product design sample data and design parameter sample characteristic values ​​corresponding to each product design sample data;

[0115] For each product design sample data, the product design sample data is input into the original characteristic value determination model to determine the preset characteristic value of the design parameter corresponding to the product design sample data;

[0116] Compare the sample characteristic value of the design parameter corresponding to each product design sample data with the preset characteristic value of the design parameter, and calculate the loss function of the original determination model of the characteristic value in the current state;

[0117] Based on the loss function of the original eigenvalue determination model, the model parameters of the original eigenvalue determination model are continuously adjusted until the original eigenvalue determination model reaches a convergence state, thereby obtaining the eigenvalue determination model.

[0118] See also Figure 3 The determining device 200 further includes a design model screening module 205. After determining at least one power battery box design model corresponding to the design parameters from the power battery box model library based on the design parameters, the design model screening module 205 is used to:

[0119] For each power battery box design model, obtain a review score after review and analysis of the power battery box design model;

[0120] Based on the review scores corresponding to each power battery box design model, a power battery box target model with the highest review score is determined from at least one of the power battery box design models.

[0121] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 4 As shown in , the electronic device 400 includes a processor 410 , a memory 420 and a bus 430 .

[0122] The memory 420 stores machine-readable instructions executable by the processor 410. When the electronic device 400 is running, the processor 410 communicates with the memory 420 via the bus 430. When the machine-readable instructions are executed by the processor 410, the above-mentioned Figure 1 The steps of the method for determining the power battery box design model in the method embodiment shown, the specific implementation method can be found in the method embodiment, and will not be repeated here.

[0123] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer program can execute the above-mentioned Figure 1 The steps of the method for determining the power battery box design model in the method embodiment shown, the specific implementation method can be found in the method embodiment, and will not be repeated here.

[0124] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0125] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0126] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0127] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0128] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application can essentially be embodied in the form of a software product, or in other words, the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0129] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for determining a power battery box design model, characterized in that: The determination method comprises: Obtain design parameters of the power battery box to be designed; Based on the design parameters, at least one power battery case design model corresponding to the design parameters is determined from a power battery case model library; wherein the power battery case model library includes a plurality of pre-built power battery case original models, and the design parameter feature values ​​of each power battery case original model are determined by a pre-trained feature value determination model.

2. The determination method according to claim 1, characterized in that: The design parameters include outer envelope space parameters, inner envelope space parameters, box structure form parameters, product design rule parameters, product function performance parameters and box manufacturing feasibility parameters of the power battery box to be designed.

3. The determination method according to claim 2, characterized in that: The determining, based on the design parameters, at least one power battery case design model corresponding to the design parameters from a power battery case model library comprises: Determine the initial structure of the power battery case to be designed based on the outer envelope space parameters and the inner envelope space parameters, and select a first candidate model from a plurality of power battery case original models in the power battery case model library based on the initial structure; wherein the case structure of the first candidate model is the initial structure; Determine, based on the box structure form parameters, a second candidate model corresponding to the box structure form parameters from the first candidate models; Determining a third candidate model corresponding to the product design rule parameter from the second candidate model based on the product design rule parameter; Determine, based on the product function performance parameters, a fourth candidate model corresponding to the product function performance parameters from the third candidate model; At least one power battery case design model is determined from the fourth candidate models based on the case manufacturing feasibility parameters.

4. The determination method according to claim 1, characterized in that: Each power battery box original model in the power battery box model library is constructed by the following steps: Obtain product design data for multiple power battery boxes; For each power battery box product design data, the power battery box product design data is input into the characteristic value determination model to determine the corresponding design parameter characteristic value, and the power battery box original model corresponding to the power battery box product design data is generated based on the design parameter characteristic value.

5. The determination method according to claim 4, characterized in that: The feature value determination model is trained by the following steps: Acquire multiple product design sample data and design parameter sample characteristic values ​​corresponding to each product design sample data; For each product design sample data, the product design sample data is input into the original characteristic value determination model to determine the preset characteristic value of the design parameter corresponding to the product design sample data; Compare the sample characteristic value of the design parameter corresponding to each product design sample data with the preset characteristic value of the design parameter, and calculate the loss function of the original determination model of the characteristic value in the current state; Based on the loss function of the original eigenvalue determination model, the model parameters of the original eigenvalue determination model are continuously adjusted until the original eigenvalue determination model reaches a convergence state, thereby obtaining the eigenvalue determination model.

6. The determination method according to claim 1, characterized in that: After determining at least one power battery case design model corresponding to the design parameters from a power battery case model library based on the design parameters, the determination method further includes: For each power battery box design model, obtain a review score after review and analysis of the power battery box design model; Based on the review scores corresponding to each power battery box design model, a power battery box target model with the highest review score is determined from at least one of the power battery box design models.

7. A device for determining a design model of a power battery box, characterized in that: The determining device comprises: A design parameter acquisition module, used to obtain the design parameters of the power battery box to be designed; A design model determination module is used to determine at least one power battery case design model corresponding to the design parameters from a power battery case model library based on the design parameters; wherein the power battery case model library includes a plurality of pre-built power battery case original models, and the design parameter feature value of each power battery case original model is determined by a pre-trained feature value determination model.

8. The determination device according to claim 7, characterized in that: The design parameters include outer envelope space parameters, inner envelope space parameters, box structure form parameters, product design rule parameters, product function performance parameters and box manufacturing feasibility parameters of the power battery box to be designed.

9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and the machine-readable instructions are executed by the processor to execute the steps of the method for determining the power battery box design model as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for determining the power battery box design model according to any one of claims 1 to 6 are executed.

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