Vehicle body design method and system, electronic equipment and storage medium

Abstract

The invention provides a vehicle body design method and system, electronic equipment and a storage medium. The method comprises the following steps: searching a design scheme set by utilizing a multi-objective optimization model building module; comparing material performance data by using an intelligent material database; simulating and adjusting a vehicle body structure by using a structure optimization design module; adjusting and optimizing the target weight by using a real-time feedback and interactive design platform; and evaluating the life cycle cost and environmental influence of different design schemes by using an environment and economy evaluation module. According to the embodiment of the invention, by integrating an optimization algorithm, intelligent material selection, a high-precision simulation technology and a comprehensive evaluation system, the problems of low efficiency, limited material compatibility and incomplete evaluation existing in a traditional multi-material mixed structure optimization method are solved in a targeted manner; the method aims at promoting the automobile light weight technology to advance to higher-level intelligentization, high efficiency and sustainability.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile design, and in particular to a vehicle body design method, system, electronic equipment and storage medium. Background Art

[0002] With the global emphasis on energy conservation, emission reduction and sustainable development, automobile lightweighting has become an important development trend in the automotive industry. As the main component of a car, the weight of the car body directly affects the vehicle's energy consumption and emissions. However, the pursuit of lightweighting alone may sacrifice the safety, stability and comfort of the vehicle. Therefore, how to reasonably choose from a variety of high-performance materials and combine them with innovative structural design to achieve the optimal lightweight of the car body has become a major challenge in the current automotive design field.

[0003] The existing technical solution is the traditional multi-material hybrid structure optimization method in automobile body design. This method mainly focuses on the use of a combination of multiple materials such as aluminum alloy, high-strength steel, and carbon fiber composite materials to achieve lightweight body while maintaining or improving overall structural strength and safety.

[0004] Working principle of existing technology of the solution: 1. Material selection and allocation. 2. Finite element analysis. 3. Topology and size optimization. 4. Manufacturing process adaptability. Analysis of shortcomings of existing technology solutions: 1. Low optimization efficiency: The traditional multi-material optimization process often relies on the experience of engineers and trial and error, and lacks an efficient global optimization algorithm to handle multiple materials and multiple performance targets at the same time, resulting in a long design cycle and the optimization results may be locally optimal rather than globally optimal. 2. Material compatibility and connection technology limitations: The connection between different materials is a challenge, which not only involves technical difficulties, but also may increase manufacturing costs and complexity, such as the electrochemical corrosion problem of aluminum alloys and steel, and the problem of heterogeneous expansion coefficients of carbon fibers and metal materials. 3. Insufficient environmental and economic assessment: Existing technologies may not fully consider the life cycle cost (LCC) and environmental impact (LCA) during the design stage, or the evaluation method may not be systematic and accurate enough.

[0005] In summary, existing automobile designs have technical problems such as low optimization efficiency, limited material compatibility, and an imperfect evaluation system. Summary of the invention

[0006] In view of this, it is necessary to provide a body design method, system, electronic device and storage medium to solve the technical problems existing in the prior art, such as low optimization efficiency, limited material compatibility and imperfect evaluation system.

[0007] In order to solve the above technical problems, in a first aspect, the present application provides a vehicle body design method, comprising the following steps: Find a collection of design solutions; Comparative material performance data; Simulate the body structure and adjust the layout and shape; Adjust the optimization target weight and view the optimization progress and results; Evaluate the life cycle costs and environmental impacts of different design options.

[0008] In some embodiments of the present application, the step of searching for a set of design solutions includes: Define the objective function and convert the key indicators of body design into mathematical expressions; Set constraints; Select or develop a preset algorithm, and use the preset algorithm to find a Pareto front solution set; Parameter tuning.

[0009] In some embodiments of the present application, the comparative material performance data includes: Integrate the material performance data from multiple channels; Design a database architecture that supports query and expansion; A dynamic updating mechanism for the material performance data is established.

[0010] In some embodiments of the present application, simulating the vehicle body structure and adjusting the layout and shape includes: Build a 3D model of the vehicle body and import it into finite element analysis software; Apply topology optimization algorithms to automatically adjust the material distribution of the model; Simulate the dynamic response of the vehicle under different driving conditions to verify the dynamic performance and durability of the structural design.

[0011] In some embodiments of the present application, adjusting the optimization target weight and checking the optimization progress and results include: Develop user interface; Present data in graphs or 3D models; Adjust the optimization target weights, add or modify constraints, and the system will respond instantly and re-execute the optimization.

[0012] In some embodiments of the present application, the evaluating the life cycle cost and environmental impact of different design solutions includes: Develop life cycle cost models; Use life cycle assessment methods to evaluate environmental impact indicators; Generate a comprehensive assessment report.

[0013] In a second aspect, the present application also provides a vehicle body design system, including: A multi-objective optimization model building module, used to establish a multi-objective optimization model including at least some evaluation indicators of vehicle body weight, cost, safety performance, durability and environmental impact; Intelligent material database, which is used to provide material performance data and intelligently recommend the best material combination based on material characteristics; Structural optimization design module, which is used to optimize the vehicle body structure using finite element analysis, topology optimization and multi-body dynamics simulation technology; Real-time feedback and interactive design platform, which is used to provide a graphical user interface, allowing users to adjust the optimization target weight according to design requirements and provide instant feedback on optimization results; Environmental and economic assessment module to evaluate the life cycle costs and environmental impacts of different design options.

[0014] In some embodiments of the present application, the multi-objective optimization model construction module adopts at least one optimization algorithm selected from the group consisting of genetic algorithm, particle swarm optimization, and simulated annealing algorithm.

[0015] In some embodiments of the present application, the smart material database includes performance data of traditional metal materials, composite materials and emerging lightweight materials, and the performance data includes density, yield strength, elastic modulus, cost, processability score and at least some evaluation indicators of environmental impact assessment indicators.

[0016] In some embodiments of the present application, the structural optimization design module includes finite element model establishment, topology optimization algorithm and multi-body dynamics simulation.

[0017] In a third aspect, the present application further provides an electronic device, including a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the vehicle body design method described in any one of the embodiments of the first aspect above.

[0018] In a fourth aspect, the present application further provides a computer-readable storage medium for storing a computer-readable program or instruction, wherein the program or instruction, when executed by a processor, can implement the steps of the vehicle body design method described in any one of the first aspects above. The beneficial effects of the present invention are as follows: the embodiment of the present application can comprehensively consider a variety of design constraints in a relatively short period of time through a multi-objective optimization model, and quickly generate an optimized body material combination and structural design scheme. At the same time, the global optimality of the design scheme is ensured, and the overall quality and competitiveness of the design are improved. Through the combination of the intelligent material database and the optimization algorithm, an optimal balance is achieved in terms of performance, cost and environmental impact, which is conducive to reducing overall costs. By using advanced simulation technology, not only the lightweight goal is achieved, but also the structural performance of the vehicle is significantly enhanced. The real-time feedback and interactive design platform can quickly adjust the design scheme according to the multi-objective optimization results, and it is also convenient to make personalized design modifications according to market research or customer feedback, which enhances the flexibility of the design and the responsiveness of the market. The optimized design reduces the complexity and scrap rate in the production process, reduces manufacturing costs, and improves production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 A schematic flow chart of a vehicle body design method provided by the present invention; Figure 2 For the present invention Figure 1 A schematic flow chart of an embodiment of S1; Figure 3 For the present invention Figure 1 A schematic flow chart of an embodiment of S2; Figure 4 For the present invention Figure 1 A schematic flow chart of an embodiment of S3; Figure 5 For the present invention Figure 1 A schematic flow chart of an embodiment of S4; Figure 6 For the present invention Figure 1 A schematic flow chart of an embodiment of S5; Figure 7 A structural schematic diagram of a vehicle body design system provided by the present invention; Figure 8 The present invention provides a schematic structural diagram of an electronic device. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0022] In view of this, it is necessary to provide a body design method, system, electronic device and storage medium to solve the technical problems existing in the prior art, such as low optimization efficiency, limited material compatibility and imperfect evaluation system.

[0023] In order to solve the above technical problems, in the first aspect, the present application provides a vehicle body design method, such as Figure 1 As shown, Figure 1 A schematic flow chart of a vehicle body design method provided by the present invention.

[0024] A vehicle body design method comprises the following steps: S1. Find a set of design solutions; S2. Comparative material performance data; S3. Simulate the body structure and adjust the layout and shape; S4. Adjust the optimization target weight and check the optimization progress and results; S5. Evaluate the life cycle costs and environmental impacts of different design options.

[0025] The embodiment of the present application can comprehensively consider multiple design constraints in a short period of time through a multi-objective optimization model, and quickly generate an optimized body material combination and structural design scheme. At the same time, the global optimality of the design scheme is ensured, and the overall quality and competitiveness of the design are improved. Through the combination of the intelligent material database 62 and the optimization algorithm, the optimal balance is achieved in terms of performance, cost and environmental impact, which is conducive to reducing the overall cost. By using advanced simulation technology, not only the lightweight goal is achieved, but also the structural performance of the vehicle is significantly enhanced. The real-time feedback and interactive design platform 64 can quickly adjust the design scheme according to the multi-objective optimization results, and it is also convenient to make personalized design modifications according to market research or customer feedback, which enhances the flexibility of the design and the responsiveness of the market. The optimized design reduces the complexity and scrap rate in the production process, reduces manufacturing costs, and improves production efficiency.

[0026] like Figure 2 As shown, Figure 2 For the present invention Figure 1 A flow chart of an embodiment of S1 is shown in FIG.

[0027] In some embodiments of the present application, the step of searching for a set of design solutions includes: S11. Define the objective function and convert the key indicators of body design into mathematical expressions; S12. Setting constraints; S13. Select or develop a preset algorithm, and use the preset algorithm to find a Pareto front solution set; S14. Parameter tuning.

[0028] In step S1, a multi-objective optimization model is constructed: a multi-objective optimization model is established that includes multiple evaluation indicators such as vehicle weight, cost, safety performance, durability, and environmental impact. Genetic algorithms, particle swarm optimization, simulated annealing algorithms, and other efficient global optimization algorithms are used to find the best set of design solutions that meet the requirements of each objective.

[0029] Specifically: S11. Objective function definition: Identify key indicators of vehicle body design, such as weight, cost, safety performance (such as crash test scores), durability (fatigue life), NVH (noise, vibration, and harshness) performance, and environmental impact, and convert them into mathematical expressions.

[0030] S12. Constraint setting: Establish regulatory standards, manufacturing feasibility, material availability and other constraints that the design must comply with.

[0031] S13. Optimization algorithm development: Select or develop algorithms suitable for handling multi-objective optimization problems, such as NSGA-II (non-dominated sorting genetic algorithm, second generation), MOEA / D (multi-objective evolutionary algorithm based on decomposition), etc., to ensure that the algorithm can effectively explore and utilize the solution space and find the Pareto front solution set.

[0032] S14. Parameter tuning: Tune the algorithm parameters (such as crossover rate, mutation rate, population size, etc.) for specific problems to improve optimization efficiency and solution quality.

[0033] like Figure 3 As shown, Figure 3 For the present invention Figure 1 A flow chart of an embodiment of S2 is shown in FIG.

[0034] In some embodiments of the present application, the comparative material performance data includes: S21. Integrate the material performance data from multiple channels; S22. Design a database architecture that supports query and expansion; S23. Establish a dynamic update mechanism for the material performance data.

[0035] In step 2, the intelligent material database 62: integrates a database including traditional metal materials (such as high-strength steel, aluminum alloy), composite materials (such as carbon fiber reinforced plastic CFRP, glass fiber reinforced plastic GFRP) and emerging lightweight materials. The database updates material performance data in real time and supports customized search and comparative analysis of materials. The data of each material includes density, yield strength, elastic modulus, cost, processability score and environmental impact assessment indicators, forming a detailed material performance database.

[0036] Specifically: S21. Data collection and organization: Integrate material performance data from suppliers, public literature, laboratory tests and other channels, including physical, chemical, and mechanical properties.

[0037] S22. Database architecture design: Design an easy-to-query and expandable database structure to support rapid retrieval and comparison of the properties of different materials.

[0038] S23. Dynamic update mechanism: Establish a regular update process for material data to ensure that the database contains the latest material information and technological advances.

[0039] like Figure 4 As shown, Figure 4 For the present invention Figure 1 A flowchart of an embodiment of S3 is shown in FIG.

[0040] In some embodiments of the present application, simulating the vehicle body structure and adjusting the layout and shape includes: S31. Build a three-dimensional model of the vehicle body and import it into the finite element analysis software; S32. Apply topology optimization algorithm to automatically adjust the material distribution of the model; S33. Simulate the dynamic response of the vehicle under different driving conditions to verify the dynamic performance and durability of the structural design.

[0041] In step S3, the structural optimization design module 63 uses finite element analysis (FEA), topology optimization and multi-body dynamics simulation technology to perform a detailed simulation of the vehicle body structure and automatically adjust the structural layout and shape to minimize material usage while ensuring structural strength and stability.

[0042] Specifically: S31. Establishment of finite element model: Use CAD software to construct a three-dimensional model of the vehicle body, import it into the finite element analysis software, and set boundary conditions and load conditions.

[0043] S32. Topology optimization algorithm: Apply the topology optimization algorithm to automatically adjust the material distribution of the model and remove materials in non-load-bearing areas to achieve the purpose of weight reduction without reducing structural performance.

[0044] S33. Multibody dynamics simulation: simulate the dynamic response of the vehicle under different driving conditions and verify the dynamic performance and durability of the structural design.

[0045] like Figure 5 As shown, Figure 5 For the present invention Figure 1 A schematic flow chart of an embodiment of S4.

[0046] In some embodiments of the present application, adjusting the optimization target weight and checking the optimization progress and results include: S41. Develop user interface; S42. Present data in graphs or three-dimensional models; S43. Adjust the optimization target weight, add or modify constraints, and the system will respond immediately and re-execute the optimization.

[0047] In step S4, the real-time feedback and interactive design platform 64 provides an intuitive graphical user interface for designers, allowing users to adjust optimization target weights according to design requirements. The system instantly feeds back optimization results, including recommended material combinations, structural design solutions and corresponding performance predictions, to promote design iterations and decision making.

[0048] Specifically: S41. User Interface Development: Design an intuitive and easy-to-use graphical user interface that allows users to input design preferences and view optimization progress and results.

[0049] S42. Data visualization: Display complex optimization results in the form of charts, 3D models, etc., so that users can quickly understand all aspects of design optimization.

[0050] S43. Interactive function implementation: Allow users to adjust optimization target weights, add or modify constraints during the design process, and the system will respond immediately and re-execute the optimization.

[0051] like Figure 6 As shown, Figure 6 For the present invention Figure 1 A schematic flow chart of an embodiment of S5.

[0052] In some embodiments of the present application, the evaluating the life cycle cost and environmental impact of different design solutions includes: S51. Establish life cycle cost model; S52. Use life cycle assessment methods to assess environmental impact indicators; S53. Generate a comprehensive assessment report.

[0053] In step S5, the environmental and economic assessment module 65: evaluates the life cycle cost (LCC) and environmental impact (such as carbon footprint) of different design solutions to ensure that the lightweight strategy not only meets the technical and economic principles, but also meets the requirements of green and sustainable development.

[0054] Specifically: S51.LCC analysis: Establish a life cycle cost model, considering the costs of material procurement, processing, maintenance, recycling and other stages.

[0055] S52. Environmental impact assessment: Use the LCA (Life Cycle Assessment) method to evaluate environmental indicators such as carbon emissions and resource consumption of different design options.

[0056] S53. Integrated Assessment Report: Generate an integrated assessment report to provide a comprehensive economic and environmental impact analysis for design decisions.

[0057] 1. Improve optimization efficiency and global optimization capability: By introducing advanced multi-objective optimization algorithms, such as genetic algorithms, particle swarm optimization, etc., the present invention aims to significantly improve the optimization efficiency of body material selection and structural design. These algorithms can handle complex problems with multiple variables and multiple constraints, avoid local optimal solutions, and ensure that the global optimal or near-optimal solution set that balances multiple objectives such as weight, cost, safety, and environmental impact can be quickly found among many possible design solutions.

[0058] 2. Enhance material compatibility and simplify manufacturing process: The system-integrated intelligent material database 62 not only provides detailed material performance data, but also intelligently recommends the best material combination based on material properties, while taking into account the compatibility issues between materials. Combined with the structural optimization design module 63, the present invention will explore innovative connection technologies and design strategies to reduce the complexity and potential problems of connecting different materials, such as reducing direct contact between dissimilar materials through optimized design, or recommending new environmentally friendly and low-cost connection technologies, thereby simplifying the manufacturing process and reducing costs.

[0059] 3. Comprehensive and accurate environmental and economic assessment: Building an integrated environmental and economic assessment module65 ensures that the cost-benefit analysis (LCC) and environmental impact assessment (LCA) of the entire product life cycle can be fully considered at the early stage of design. By accurately calculating the economic cost and environmental footprint of each stage of material acquisition, processing, use and even recycling, designers can make more sustainable and economically reasonable decisions, and promote the development of lightweight automotive design towards green and low-carbon.

[0060] In summary, the present invention solves the problems of low efficiency, material compatibility limitations and incomplete evaluation of traditional multi-material hybrid structure optimization methods by integrating optimization algorithms, intelligent material selection, high-precision simulation technology and a comprehensive evaluation system, aiming to promote automotive lightweight technology to a higher level of intelligence, efficiency and sustainability.

[0061] In a second aspect, the present application also provides a vehicle body design system 6, such as Figure 7 As shown, Figure 7 This is a schematic structural diagram of a vehicle body design system 6 provided by the present invention.

[0062] A vehicle body design system 6, using the vehicle body design method according to any one of the embodiments of the first aspect, comprises: A multi-objective optimization model building module 61 is used to build a multi-objective optimization model including at least some evaluation indicators of vehicle body weight, cost, safety performance, durability and environmental impact; An intelligent material database 62, for providing material performance data and intelligently recommending the best material combination based on material properties; A structural optimization design module 63 is used to optimize the vehicle body structure by using finite element analysis, topology optimization and multi-body dynamics simulation technology; A real-time feedback and interactive design platform 64, used to provide a graphical user interface, allowing the user to adjust the optimization target weight according to design requirements and provide instant feedback on the optimization results; Environmental and Economic Assessment Module 65 is used to evaluate the life cycle costs and environmental impacts of different design options.

[0063] In some embodiments of the present application, the multi-objective optimization model building module 61 adopts at least one optimization algorithm selected from the group consisting of a genetic algorithm, a particle swarm optimization algorithm, and a simulated annealing algorithm.

[0064] In some embodiments of the present application, the smart material database 62 includes performance data of traditional metal materials, composite materials and emerging lightweight materials, and the performance data includes density, yield strength, elastic modulus, cost, processability score and at least some evaluation indicators of environmental impact assessment indicators.

[0065] In some embodiments of the present application, the structural optimization design module 63 includes finite element model establishment, topology optimization algorithm and multi-body dynamics simulation.

[0066] In some embodiments of the present application, machine learning and artificial intelligence-driven optimization design are introduced: Compared with traditional optimization algorithms, machine learning and deep learning models can learn from a large amount of historical data, automatically discover design rules, and may provide more innovative and efficient solutions in some cases. They can continuously learn and adapt, and the optimization results gradually improve over time.

[0067] In some embodiments of the present application, a parallel computing platform based on cloud computing is introduced: by utilizing the powerful computing power of cloud computing, the speed of multi-objective optimization and complex simulation can be greatly accelerated, allowing the search for optimal solutions in a wider parameter space, thereby improving design efficiency.

[0068] In some embodiments of the present application, topology optimization is combined with additive manufacturing (3D printing): topology optimization can generate highly optimized complex structures, while additive manufacturing technology can achieve direct manufacturing of these complex structures without being restricted by traditional manufacturing processes, further reducing weight and material waste.

[0069] In some embodiments of the present application, modular design and standardized interface: through modular design and standardized interface, different materials and structural modules can be flexibly matched, the design and production process can be simplified, and the material utilization rate and the maintainability of the design can be improved.

[0070] In a third aspect, the present invention also provides an electronic device. Figure 8 As shown, Figure 8 The structure diagram of an electronic device 7 provided by the present invention. The electronic device 7 includes a memory 71, a processor 72 and a display 73. In some embodiments, the processor 72 may be a central processing unit (CPU), a microprocessor or other data processing chip, which is used to run the program code stored in the memory 71 or process data, such as the body design method of the present invention.

[0071] Correspondingly, in a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the programs or instructions are executed by a processor, the steps or functions in the vehicle body design methods provided in the above-mentioned method embodiments can be implemented.

[0072] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0073] The present invention solves the problems of low efficiency, material compatibility limitations and incomplete evaluation in traditional multi-material hybrid structure optimization methods by integrating optimization algorithms, intelligent material selection, high-precision simulation technology and a comprehensive evaluation system, aiming to promote automotive lightweight technology to a higher level of intelligence, efficiency and sustainability.

[0074] The beneficial effects brought by the technical solution of the present invention are mainly reflected in the following aspects: 1. Significantly improve design efficiency and quality: Through the integrated multi-objective optimization algorithm, the present invention can comprehensively consider multiple design constraints (such as strength, cost, weight, environmental impact, etc.) in a relatively short period of time and quickly generate optimized body material combinations and structural design solutions. Compared with traditional design methods, it greatly shortens the design cycle while ensuring the global optimality of the design solution, improving the overall quality and competitiveness of the design.

[0075] 2. Effective control of material costs and environmental impact: The combination of the intelligent material database 62 and the optimization algorithm ensures that the selected materials not only meet the performance requirements, but also achieve the best balance in terms of cost and environmental impact. Through fine material screening and ratio optimization, the use of expensive or environmentally burdensome materials is reduced, which is conducive to reducing overall costs and promoting sustainable development.

[0076] 3. Significant improvement in structural performance: Advanced simulation technologies, such as topology optimization and multi-body dynamics simulation, are used to deeply optimize the vehicle body structure, which not only achieves the goal of lightweighting, but also significantly enhances the vehicle's structural performance, such as collision safety, torsional stiffness and NVH (noise, vibration and harshness) performance, thereby improving user experience and driving safety.

[0077] 4. Increased design flexibility and user engagement: The real-time feedback and interactive design platform 64 enables designers and engineers to quickly adjust design plans based on multi-objective optimization results. It also facilitates personalized design modifications based on market research or customer feedback, enhancing design flexibility and market responsiveness.

[0078] 5. Convenience of manufacturing and cost savings: The optimized design takes into account the feasibility of the manufacturing process. The recommended structural design and material selection are easy to process and assemble, which reduces the complexity and scrap rate in the production process, reduces manufacturing costs, and improves production efficiency.

[0079] The beneficial effects of the present invention are as follows: the embodiment of the present application can comprehensively consider a variety of design constraints in a relatively short period of time through a multi-objective optimization model, and quickly generate an optimized body material combination and structural design scheme. At the same time, the global optimality of the design scheme is ensured, and the overall quality and competitiveness of the design are improved. Through the combination of the intelligent material database 62 and the optimization algorithm, an optimal balance is achieved in terms of performance, cost and environmental impact, which is conducive to reducing overall costs. By using advanced simulation technology, not only the lightweight goal is achieved, but also the structural performance of the vehicle is significantly enhanced. The real-time feedback and interactive design platform 64 can quickly adjust the design scheme according to the multi-objective optimization results, and is also convenient for personalized design modifications based on market research or customer feedback, which enhances the flexibility of the design and the responsiveness of the market. The optimized design reduces the complexity and scrap rate in the production process, reduces manufacturing costs, and improves production efficiency.

[0080] The vehicle body design method and system provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A vehicle body design method, characterized in that: The following steps are involved: Find a collection of design solutions; Comparative material performance data; Simulate the body structure and adjust the layout and shape; Adjust the optimization target weight and view the optimization progress and results; Evaluate the life cycle costs and environmental impacts of different design options.

2. The vehicle body design method according to claim 1, characterized in that: The search for a set of design solutions includes: Define the objective function and convert the key indicators of body design into mathematical expressions; Set constraints; Selecting or developing a multi-objective optimization algorithm, and finding a Pareto front solution set using the multi-objective optimization algorithm; Parameter tuning.

3. The vehicle body design method according to claim 1, characterized in that: The comparative material performance data include: Integrate the material performance data from multiple channels; Design a database architecture that supports query and expansion; A dynamic updating mechanism for the material performance data is established.

4. The vehicle body design method according to claim 1, characterized in that: The simulation of the vehicle body structure and the adjustment of the layout and shape include: Build a 3D model of the vehicle body and import it into finite element analysis software; Apply topology optimization algorithms to automatically adjust the material distribution of the model; Simulate the dynamic response of the vehicle under different driving conditions to verify the dynamic performance and durability of the structural design.

5. The vehicle body design method according to claim 1, characterized in that: The steps of adjusting the optimization target weight and checking the optimization progress and results include: Develop user interface; Present data in graphs or 3D models; Adjust the optimization target weights, add or modify constraints, and the system will respond instantly and re-execute the optimization.

6. The vehicle body design method according to claim 1, characterized in that: The evaluation of the life cycle costs and environmental impacts of different design options included: Develop life cycle cost models; Use life cycle assessment methods to evaluate environmental impact indicators; Generate a comprehensive assessment report.

7. A vehicle body design system, characterized in that: include: A multi-objective optimization model building module, used to establish a multi-objective optimization model including at least some evaluation indicators of vehicle body weight, cost, safety performance, durability and environmental impact; Intelligent material database, which is used to provide material performance data and intelligently recommend the best material combination based on material characteristics; Structural optimization design module, which is used to optimize the vehicle body structure using finite element analysis, topology optimization and multi-body dynamics simulation technology; Real-time feedback and interactive design platform, which is used to provide a graphical user interface, allowing users to adjust the optimization target weight according to design requirements and provide instant feedback on optimization results; Environmental and economic assessment module to evaluate the life cycle costs and environmental impacts of different design options.

8. The vehicle body design system according to claim 7, characterized in that: The multi-objective optimization model building module adopts at least one optimization algorithm selected from the group consisting of genetic algorithm, particle swarm optimization, and simulated annealing algorithm. The intelligent material database includes performance data of traditional metal materials, composite materials, and emerging lightweight materials. The performance data include density, yield strength, elastic modulus, cost, machinability score, and at least some of the environmental impact assessment indicators. The structural optimization design module includes finite element model establishment, topology optimization algorithm, and multi-body dynamics simulation.

9. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the vehicle body design method described in any one of claims 1 to 6 above.

10. A computer-readable storage medium, characterized in that: Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the vehicle body design method described in any one of claims 1 to 6 above.

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