Container design method and device based on simulation analysis, equipment and medium

Abstract

The invention provides a container design method and device based on simulation analysis, equipment and a medium. The method comprises the steps that a container finite element model is established based on container attribute information; the cargo box attribute information comprises cargo box target cargo loading quality, cargo box target bearing capacity and cargo box use materials; physical and mechanical characteristics of materials used by all parts of the container are obtained based on the materials used by the container; according to different working conditions, the target cargo carrying mass is evenly distributed on a cargo container bottom plate for weight balancing through non-structural mass units in the finite element model; through CAE simulation bearing capacity analysis, whether the maximum stress of each part of the container exceeds the yield strength of a material used by the container under different working conditions is compared, if not, the bearing capacity analysis of the container design scheme is passed, and the container design scheme after the bearing capacity analysis is passed is output, so that the efficiency and reliability of container design are improved.

Description

Technical Field

[0001] This invention relates to the field of automotive exterior parts, and in particular to a design method, apparatus, equipment and medium for cargo boxes based on simulation analysis. Background Technology

[0002] Pickup trucks are suitable for a variety of uses, including commercial transportation, construction site use, and household transport. Therefore, the load-bearing capacity of the cargo box is particularly important for its structural design. Consequently, the design methodology for the load-bearing capacity system of the vehicle cargo box must be a key design focus.

[0003] Depending on the purpose and requirements of the cargo box, high-strength aluminum alloy, steel, etc. are usually selected. Steel is widely used because of its high strength and good durability; aluminum alloy is favored because of its light weight, strength and durability. To improve the load-bearing capacity of the cargo box, the following aspects can be considered: 1. Material improvement: Use higher strength materials to manufacture the cargo box. For example, use high-strength steel or composite materials, which can provide higher load-bearing capacity without significantly increasing weight. 2. Structural optimization: (1) Reinforcing rib design: Add reinforcing ribs to the bottom and side walls of the cargo box to distribute the load and enhance structural stability. (2) Frame reinforcement: By thickening the cargo box frame or adding support points, the overall load-bearing capacity can be effectively improved.

[0004] In the relevant technical solutions, designers rely on experience and do not conduct extreme working condition simulation analysis, making it difficult to ensure the load-bearing capacity of the cargo box. Moreover, due to design cycle and cost constraints, without simulation analysis, it is impossible to verify whether the cargo box meets the load-bearing capacity design requirements under different working conditions, resulting in low efficiency and reliability of cargo box design.

[0005] To address this problem, the present invention provides a design method, apparatus, equipment, and medium for cargo containers based on simulation analysis, thereby solving the aforementioned issues. Summary of the Invention

[0006] In order to solve the problems existing in the prior art, this invention innovatively proposes a design method, device, equipment and medium for cargo boxes based on simulation analysis, which effectively solves the problem of low efficiency and reliability of cargo box design caused by the prior art, and effectively improves the efficiency and reliability of cargo box design.

[0007] The first aspect of this invention provides a design method for cargo boxes based on simulation analysis, comprising: A finite element model of the cargo box is established based on the cargo box attribute information; the cargo box attribute information includes the target cargo load capacity, the target load-bearing capacity, and the materials used in the cargo box. Based on the materials used in the cargo box, obtain the physical and mechanical properties of the materials used in each component of the cargo box; Depending on the working conditions, the target cargo mass is evenly distributed onto the cargo box floor plate using non-structural mass elements in the finite element model for counterweighting. The load-bearing capacity analysis is performed using CAE simulation. Under different working conditions, the maximum stress of each component of the cargo box is compared to see if it exceeds the yield strength of the material used in the cargo box. If it does not exceed the yield strength, the load-bearing capacity analysis of the cargo box design scheme is passed, and the cargo box design scheme after the load-bearing capacity analysis is passed is output.

[0008] Optionally, the cargo box attribute information may also include cargo box type, cargo box connection method to vehicle body, main cross-section of cargo box and vehicle body, and cross-section between main cross-sections of cargo box.

[0009] Optionally, the operating conditions include bumpy operating conditions, braking operating conditions, turning operating conditions, bump-crossing operating conditions, and combined operating conditions.

[0010] Furthermore, it also includes: under different working conditions, when the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box, structural optimization of the cargo box design scheme is carried out based on the load-bearing capacity analysis results of CAE simulation.

[0011] Furthermore, the structural optimization of the cargo box design scheme is one or more optional structural optimization schemes, wherein the optional structural optimization schemes include: Increase the number of weld points between the various components of the cargo box; Add structural adhesive to the spot welding points between the various components of the cargo box; Increase the number of reinforcing ribs in the cargo box; Increase the stress-bearing area between the various components of the cargo box; Replace the cargo box material with one that has a higher yield strength.

[0012] Optionally, it also includes: after the cargo box design scheme passes the load-bearing capacity analysis, a durability test is conducted on the cargo box.

[0013] Furthermore, after the load-bearing capacity analysis of the cargo box design is passed, a durability test is conducted on the cargo box, specifically as follows: Road tests were conducted on the cargo box of the vehicle with a preset load to compare whether the maximum stress of each component in the cargo box under different working conditions exceeded the yield strength of the material used in the cargo box. If it did not exceed the yield strength, the cargo box design scheme was approved.

[0014] A second aspect of the present invention provides a design apparatus for cargo containers based on simulation analysis, comprising: A module is established to create a finite element model of the cargo box based on its attribute information; the cargo box attribute information includes the target cargo load capacity, the target load-bearing capacity, and the materials used in the cargo box. The acquisition module, based on the materials used in the cargo box, acquires the physical and mechanical properties of the materials used in each component of the cargo box; The counterweight module distributes the target cargo mass evenly onto the cargo box floor using non-structural mass elements in the finite element model, according to different working conditions. The simulation module uses CAE simulation to analyze the load-bearing capacity and compares whether the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box under different working conditions. If it does not exceed the yield strength, the cargo box design scheme is approved, and the output cargo box design scheme after the load-bearing capacity analysis is approved is generated.

[0015] A third aspect of the present invention provides an electronic device comprising: a memory for storing a computer program; and a processor for executing the computer program to implement the simulation analysis-based cargo box design method as described in the first aspect of the present invention.

[0016] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the simulation analysis-based cargo box design method as described in the first aspect of the present invention.

[0017] The technical solution adopted in this invention has the following technical effects: 1. This invention establishes a finite element model of a cargo box based on its attribute information. The cargo box attribute information includes the target cargo load, target load-bearing capacity, and materials used in the cargo box. Based on the materials used in the cargo box, the physical and mechanical properties of the materials used in each component are obtained. According to different working conditions, the target cargo load is evenly distributed onto the cargo box floor plate using non-structural mass elements in the finite element model for counterweighting. Through CAE simulation, the load-bearing capacity is analyzed, and it is compared whether the maximum stress of each component of the cargo box exceeds the yield strength of the materials used in the cargo box under different working conditions. If it does not exceed the yield strength, the load-bearing capacity analysis of the cargo box design scheme passes, and the cargo box design scheme after passing the load-bearing capacity analysis is output. This effectively solves the problem of low efficiency and reliability in cargo box design caused by existing technologies, and effectively improves the efficiency and reliability of cargo box design.

[0018] 2. The cargo box attribute information in the technical solution of the present invention also includes cargo box type, cargo box connection method with vehicle body, main cross-section of cargo box and vehicle body, and cross-section between main cross-section of cargo box. Finite element model of cargo box can be established based on different cargo box attribute information, ensuring the reliability of cargo box design.

[0019] 3. The working conditions in the technical solution of this invention include bumpy working conditions, braking working conditions, turning working conditions, bump-crossing working conditions, and combined working conditions. According to different working conditions, the target cargo mass can be evenly distributed on the cargo box bottom plate for counterweight using non-structural mass elements in the finite element model. Through CAE simulation and load-bearing capacity analysis, the maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box, further ensuring the reliability of the cargo box design.

[0020] 4. In the technical solution of this invention, when the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box under different working conditions, the cargo box design is structurally optimized based on the CAE simulation load-bearing capacity analysis results. This structural optimization can be one or more optional structural optimization schemes, including: increasing the number of weld points between the cargo box components; increasing the amount of structural adhesive used for spot welding between the cargo box components; increasing the number of reinforcing ribs in the cargo box; increasing the stress-bearing area between the cargo box components; and replacing the cargo box material with one that has a higher yield strength. CAE simulation analysis can replace traditional empirical judgment and theoretical strength verification calculation methods to optimize the design scheme, improving the efficiency and accuracy of verification analysis. This provides a basis for the design of lightweight cargo boxes with high load-bearing capacity, avoiding the high cost problem caused by single-material optimization schemes. Simultaneously, this method significantly shortens the development cycle of automotive parts and improves the market competitiveness of automotive parts.

[0021] 5. After the cargo box design scheme passes the load-bearing capacity analysis in the technical solution of this invention, a durability test is conducted on the cargo box. A road test is conducted on the cargo box of the whole vehicle with a preset load. The maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box. This avoids the problem that without a durability test, it is impossible to determine the attenuation of the installation torque of the cargo box and the deformation in the height direction of the cargo box assembly.

[0022] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart illustrating the method of Embodiment 1 in the present invention; Figure 2 This is an exploded top view of the finite element model of the cargo box in the method of Embodiment 1 of the present invention; Figure 3 This is an exploded view of the cargo box finite element model box in the method of Embodiment 1 of the present invention; Figure 4 This is a schematic diagram of the finite element model of the cargo box in the method of Embodiment 1 of the present invention; Figure 5This is a schematic diagram of the stress of the DC01 material group under bumpy conditions in the method of Embodiment 1 of the present invention; Figure 6 This is a schematic diagram of the stress of the DC01 material group under braking conditions in the method of Embodiment 1 of the present invention; Figure 7 This is a schematic diagram of the stress of the DC01 material group under turning conditions in the method of Embodiment 1 of the present invention; Figure 8 This is a schematic diagram of the stress of the DC01 material group under the condition of crossing the ridge in the method of Embodiment 1 of the present invention; Figure 9 This is a schematic diagram of the stress of the DC01 material group under combined working conditions in the method of Embodiment 1 of the present invention; Figure 10 This is a schematic diagram of the stress of the CR220IF material group under bumpy conditions in the method of Embodiment 1 of the present invention; Figure 11 This is a schematic diagram of the stress of the HC260LA material group under bumpy conditions in the method of Embodiment 1 of the present invention; Figure 12 This is a schematic diagram of the stress of the HC340LA material group under bumpy conditions in the method of Embodiment 1 of the present invention; Figure 13 This is another flowchart illustrating the method of Embodiment 1 in the present invention; Figure 14 This is a schematic diagram of the device in Embodiment 2 of the present invention; Figure 15 This is a schematic diagram of the device in Embodiment 3 of the present invention.

[0025] In the figure, ① represents the DC01 material group, ② represents the CR220IF material group, ③ represents the HC260LA material group, and ④ represents the HC340LA material group. Detailed Implementation

[0026] To clearly illustrate the technical features of this solution, the invention will be described in detail below through specific embodiments and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the invention. To simplify the disclosure of the invention, components and arrangements of specific examples are described below. Furthermore, reference numerals and / or letters may be repeated in different examples. This repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that the components illustrated in the drawings are not necessarily drawn to scale. Descriptions of well-known components, processing techniques, and processes are omitted in this invention to avoid unnecessarily limiting the invention.

[0027] Example 1 like Figure 1 As shown, this invention provides a design method for cargo boxes based on simulation analysis, including: S1. Establish a finite element model of the cargo box based on the cargo box attribute information; the cargo box attribute information includes the target cargo load capacity, the target load-bearing capacity, and the materials used in the cargo box. S2, based on the materials used in the cargo box, obtain the physical and mechanical properties of the materials used in each component of the cargo box; S3, depending on different working conditions, the target cargo mass is evenly distributed onto the cargo box bottom plate for counterweight using non-structural mass elements in the finite element model; S4. Through CAE simulation, analyze the load-bearing capacity and compare whether the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box under different working conditions. If the result is no, proceed to step S5. If the result is yes, proceed to step S6. If S5 is passed, the load-bearing capacity analysis of the cargo box design scheme is passed, and the cargo box design scheme after the load-bearing capacity analysis is passed is output. S6, Modify the cargo box attribute information. Based on the modified cargo box attribute information, modify the cargo box finite element model, and then repeat steps S2-S4 in sequence.

[0028] In step S1, the cargo box attribute information also includes the cargo box type, the connection method between the cargo box and the vehicle body, the main cross-section of the cargo box and the vehicle body, and the sub-sections between the main cross-sections of the cargo box.

[0029] Specifically, step S1 includes: S11. Based on market positioning and customer needs, determine the design requirements for the type of cargo box, whether it is a large cargo box, a small cargo box, or a flat cargo box, and benchmark the weight of the cargo box products of competitors.

[0030] S12. Based on the cargo box design and customer requirements, set the target weight and load-bearing capacity of the cargo box. If the vehicle can be disassembled, analyze the material composition and weight of each component (part).

[0031] S13 defines the installation method between the cargo box and the vehicle body based on the vehicle type and usage requirements. This includes choosing between a positioning plate connection, bolt fixing, or a saddle-to-tow pin connection. Each installation method has its advantages and disadvantages and is suitable for different scenarios. Choosing the appropriate installation method can improve vehicle stability and safety, while also facilitating cargo transportation and loading / unloading.

[0032] S14, a typical main section design, the main section is the section of the relationship between the cargo box and the body, involving surface clearance, motion verification, etc.

[0033] S15: Different cargo box types will have different cross-sections. The cross-section refers to the section between the main sections of the cargo box. If the load-bearing capacity is high, the main section and the cross-section structure need to be reinforced.

[0034] S16: Selection of cargo box materials. For cargo boxes requiring high load-bearing capacity, steel plates are a common choice, especially high-strength steels such as Q345 or higher strength grades (such as Q700). These materials have high resistance to compression and deformation, making them suitable for the cargo box floor or side panels.

[0035] Based on customer needs, benchmarking product weight against competitor cargo boxes, and determining product dimensions and size. Determining whether the design requires a large, small, or flat cargo box. After finalizing the design, setting load-bearing capacity targets, defining the structural form, and deciding on the cargo box structure. Designing the cargo box cross-section (main and sub-sections) based on the A-side of the design, including installation methods and positioning strategies. Selecting materials and structural arrangements for different locations within the cargo box. Different cargo box types will have different typical cross-sections; for high load-bearing strength and durability, steel is chosen; aluminum alloy is chosen due to its lighter weight; and high-density materials such as polypropylene are used for plastic cargo boxes.

[0036] The cargo box is constructed primarily of thin steel plates and is bolted to the vehicle frame. First, a finite element model of the cargo box is created using ANSYS. In ANSYS, the mesh density can be controlled by specifying the element size. To meet the requirement of an average element size of 10mm, the global element size is set to 10mm in the mesh generation settings. The resulting finite element model of the cargo box is shown below. Figures 2-4 As shown.

[0037] Among them, ① is the DC01 material group, ② is the CR220IF material group, ③ is the HC260LA material group, and ④ is the HC340LA material group.

[0038] In step S2, the physical and mechanical properties of the materials used in each component of the cargo box are obtained based on the materials used in the cargo box. Defining material properties: The physical and mechanical properties of the materials used, input by the user (or obtained from a pre-set material-parameter correspondence table), are crucial for obtaining reliable simulation results. The various components of the cargo box may include the cargo box floor, inner cargo box panel, lower part of the outer mask panel, mask support, etc. The materials of each component are shown in Table 1.

[0039] Table 1: Physical and Mechanical Properties of Materials Used in Various Components of the Cargo Box

[0040] In step S3, the target cargo mass is evenly distributed onto the cargo box floor using non-structural mass elements in the finite element model for counterweighting, according to different working conditions. Boundary conditions and loads are applied: 700kg of cargo mass (taking the rated load of the cargo box design as 700kg as an example, in actual driving, the cargo box is subjected to forces from all directions) is evenly distributed onto the cargo box floor using non-structural mass elements in the finite element model for counterweighting.

[0041] The operating conditions can include bumpy conditions, braking conditions, turning conditions, bump-crossing conditions, and combined operating conditions.

[0042] The test conditions for the cargo box under different working conditions are shown in Table 2 below: Table 2: Cargo Box Test Conditions Table

[0043] Preferably, before step S4, SE analysis can be performed on the finite element model of the cargo box (SE analysis is a definition and decomposition process to ensure the correctness of the design; CAE simulation analysis is a verification and optimization process to ensure the feasibility of the design), and the finite element model of the cargo box can be optimized based on the analysis of stamping, welding, painting and final assembly problems.

[0044] In steps S4-S6, after completing step S3, run the solver to calculate the results. View the displacement, stress, and strain distribution diagrams, and analyze the strength and deformation of the cargo box structure.

[0045] The calculation results were verified to ensure they conformed to actual physical phenomena. If inaccurate results were found due to excessively coarse meshes in certain areas, the element sizes could be adjusted and the calculations recalculated. Cargo box stress analysis: Through CAE simulation analysis, the yield strength of the cargo box under five working conditions met the design requirements. The stress analysis results for each working condition are as follows: Figure 5-12 As shown, Figure 5 Stress diagram of DC01 material group under bumpy conditions.

[0046] Taking the bumpy driving condition as an example, the simulation analysis results show that the maximum yield strength (maximum stress) is 173 MPa, which is less than the yield strength of DC01 (180 MPa), thus meeting the requirements. Taking the DC01 material group as an example, through simulation analysis, under five driving conditions—bumpy driving, braking, turning, crossing bumps, and combined driving—the maximum stress of the parts is less than 180 MPa, meeting the material's yield strength requirements. Figure 5-9 As shown.

[0047] Specifically, the stress diagrams of the three material groups under bumpy conditions, and the simulation analysis results show that the maximum stresses are as follows: CR220IF: 111 MPa < 220 MPa; HC260LA: 137 MPa < 260 MPa; HC340LA: 334 MPa < 340 MPa. The allowable stresses for all conditions are less than the yield strength of the materials, meeting the design requirements. The stress distribution cloud diagram is shown below. Figure 11-13 As shown.

[0048] Furthermore, the simulation-based cargo box design method in the technical solution of the present invention also includes: Under different working conditions, when the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box, the cargo box design scheme is structurally optimized based on the load-bearing capacity analysis results of CAE simulation.

[0049] That is, after step S6, steps S1-S4 are executed repeatedly to optimize and improve the finite element model of the cargo box, and to acquire materials, counterweight, and perform simulation analysis on the modified finite element model of the cargo box until the maximum stress of each component of the cargo box does not exceed the yield strength of the material used in the cargo box under different working conditions through CAE simulation of load-bearing capacity analysis.

[0050] It should be noted that while the simulations described above were particularly successful, in the development of new products, simulation results often cannot guarantee a successful first attempt. Therefore, targeted optimization of the design scheme is necessary. Figure 6 For example, the maximum yield strength of cargo box DC01 is 180MPa; if the stress structure after simulation is greater than 180MPa, the solution should be upgraded.

[0051] The following are common ways to improve the design (structural optimization is an optional option): 1. Optimize the number and location of weld points between various components of the cargo box. 2. Increase the amount of structural adhesive used for spot welding of weld points between various components of the cargo box. 3. Optimize the structure by increasing the number and distribution of reinforcing ribs in the cargo box. 4. Increase the stress-bearing area between various components of the cargo box to reduce stress concentration. 5. Change the cargo box material to provide higher yield strength. Structural optimization of the cargo box design is one or more optional options. The specific option(s) selected can be determined based on the CAE simulation analysis results; this embodiment does not impose any restrictions.

[0052] In summary, the technical solution of this invention avoids blindly using new materials in cargo box structure optimization, thus preventing the impact on market acceptance due to their typically high cost. Simulation analysis reduces the need for physical prototypes, thereby lowering development costs. Simulation allows for rapid evaluation of multiple design schemes in the early design stages, shortening the product development cycle. Simulation helps identify potential design problems and optimize them before manufacturing, improving product reliability and performance. By simulating various working conditions and extreme situations, the safety of the product in actual use is ensured. Simulation allows for adjustment and testing of different parameters, providing high flexibility and repeatable results. It helps designers systematically, completely, and comprehensively master the design methods for cargo box load-bearing capacity.

[0053] Furthermore, such as Figure 13 As shown, the simulation-based cargo box design method in the technical solution of this invention further includes: S7, after the cargo box design scheme passes the load-bearing capacity analysis, conducts a durability test on the cargo box.

[0054] Furthermore, after the load-bearing capacity analysis of the cargo box design is approved, a durability test is conducted on the cargo box, specifically as follows: Road tests were conducted on the cargo box of the vehicle with a preset load to compare whether the maximum stress of each component in the cargo box under different working conditions exceeded the yield strength of the material used in the cargo box. If it did not exceed the yield strength, the cargo box design scheme was approved.

[0055] The rated load of the cargo box in this case is 700kg. During actual driving, the cargo box is subjected to forces from all directions. The maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box. If it does not exceed the yield strength, the cargo box design is approved; if it does, the cargo box design is not approved and the design is revised.

[0056] This invention employs CAE simulation analysis to replace traditional empirical judgment and theoretical strength verification calculation methods, improving the efficiency and accuracy of verification analysis. It provides a basis for the design of lightweight products with high load-bearing capacity, resulting in significant lightweighting effects and greatly reducing material costs. At the same time, this method greatly shortens the development cycle of automotive parts and enhances their market competitiveness.

[0057] This invention establishes a finite element model of a cargo box based on its attribute information. This attribute information includes the target cargo load, target load-bearing capacity, and materials used in the cargo box. Based on the materials used, the physical and mechanical properties of the materials used in each component of the cargo box are obtained. According to different working conditions, the target cargo load is evenly distributed onto the cargo box floor plate using non-structural mass elements in the finite element model for counterweighting. Through CAE simulation, the load-bearing capacity is analyzed, and it is compared whether the maximum stress of each component of the cargo box exceeds the yield strength of the materials used in the cargo box under different working conditions. If it does not exceed the yield strength, the load-bearing capacity analysis of the cargo box design scheme is passed, and the cargo box design scheme after passing the load-bearing capacity analysis is output. This effectively solves the problem of low efficiency and reliability in cargo box design caused by existing technologies, and effectively improves the efficiency and reliability of cargo box design.

[0058] The cargo box attribute information in the technical solution of this invention also includes cargo box type, cargo box connection method with vehicle body, main cross-section of cargo box and vehicle body, and cross-section between main cross-section of cargo box. Finite element model of cargo box can be established based on different cargo box attribute information, ensuring the reliability of cargo box design.

[0059] The working conditions in the technical solution of this invention include bumpy working conditions, braking working conditions, turning working conditions, bump-crossing working conditions, and combined working conditions. According to different working conditions, the target cargo mass can be evenly distributed on the cargo box bottom plate for counterweight using non-structural mass elements in the finite element model. Through CAE simulation and load-bearing capacity analysis, the maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box, further ensuring the reliability of the cargo box design.

[0060] In this invention, when the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box under different working conditions, the cargo box design is structurally optimized based on the load-bearing capacity analysis results from CAE simulation. This structural optimization involves one or more optional optimization schemes, including: increasing the number of weld points between cargo box components; increasing the amount of structural adhesive used for spot welding between cargo box components; increasing the number of reinforcing ribs in the cargo box; increasing the stress-bearing area between cargo box components; and replacing the cargo box material with one that has a higher yield strength. CAE simulation analysis can replace traditional empirical judgment and theoretical strength verification calculation methods to optimize the design, improving the efficiency and accuracy of verification analysis. This provides a basis for the design of lightweight cargo boxes with high load-bearing capacity and avoids the high cost associated with single-material optimization schemes. Simultaneously, this method significantly shortens the development cycle of automotive parts and enhances their market competitiveness.

[0061] After the cargo box design scheme passes the load-bearing capacity analysis, the technical solution of this invention conducts a durability test on the cargo box and a road test with a preset load on the cargo box of the whole vehicle. The maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box. This avoids the problem that without a durability test, it is impossible to determine the attenuation of the cargo box installation torque and the deformation in the height direction of the cargo box assembly.

[0062] Example 2 like Figure 14 As shown, a second aspect of the present invention provides a design apparatus for cargo boxes based on simulation analysis, comprising: Module 101 is used to establish a finite element model of the cargo box based on the cargo box attribute information; the cargo box attribute information includes the target cargo load capacity, the target load-bearing capacity, and the materials used in the cargo box. Module 102 acquires the physical and mechanical properties of the materials used in each component of the cargo box based on the materials used in the cargo box. The counterweight module 103 distributes the target cargo mass evenly onto the cargo box bottom plate using non-structural mass elements in the finite element model, according to different working conditions. The simulation module 104 uses CAE simulation to perform load-bearing capacity analysis and SE analysis. It compares whether the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box under different working conditions. If it does not exceed the yield strength, the cargo box design scheme is approved, and the cargo box design scheme after the load-bearing capacity analysis is approved is output.

[0063] It should be noted that the implementation process of module 101, acquisition module 102, counterweight module 103, and simulation module 104 corresponds to the method steps in embodiment 1, and will not be repeated here.

[0064] This invention establishes a finite element model of a cargo box based on its attribute information. This attribute information includes the target cargo load, target load-bearing capacity, and materials used in the cargo box. Based on the materials used, the physical and mechanical properties of the materials used in each component of the cargo box are obtained. According to different working conditions, the target cargo load is evenly distributed onto the cargo box floor plate using non-structural mass elements in the finite element model for counterweighting. Through CAE simulation, the load-bearing capacity is analyzed, and it is compared whether the maximum stress of each component of the cargo box exceeds the yield strength of the materials used in the cargo box under different working conditions. If it does not exceed the yield strength, the load-bearing capacity analysis of the cargo box design scheme is passed, and the cargo box design scheme after passing the load-bearing capacity analysis is output. This effectively solves the problem of low efficiency and reliability in cargo box design caused by existing technologies, and effectively improves the efficiency and reliability of cargo box design.

[0065] The cargo box attribute information in the technical solution of this invention also includes cargo box type, cargo box connection method with vehicle body, main cross-section of cargo box and vehicle body, and cross-section between main cross-section of cargo box. Finite element model of cargo box can be established based on different cargo box attribute information, ensuring the reliability of cargo box design.

[0066] The working conditions in the technical solution of this invention include bumpy working conditions, braking working conditions, turning working conditions, bump-crossing working conditions, and combined working conditions. According to different working conditions, the target cargo mass can be evenly distributed on the cargo box bottom plate for counterweight using non-structural mass elements in the finite element model. Through CAE simulation and load-bearing capacity analysis, the maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box, further ensuring the reliability of the cargo box design.

[0067] In this invention, when the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box under different working conditions, the cargo box design is structurally optimized based on the load-bearing capacity analysis results from CAE simulation. This structural optimization involves one or more optional optimization schemes, including: increasing the number of weld points between cargo box components; increasing the amount of structural adhesive used for spot welding between cargo box components; increasing the number of reinforcing ribs in the cargo box; increasing the stress-bearing area between cargo box components; and replacing the cargo box material with one that has a higher yield strength. CAE simulation analysis can replace traditional empirical judgment and theoretical strength verification calculation methods to optimize the design, improving the efficiency and accuracy of verification analysis. This provides a basis for the design of lightweight cargo boxes with high load-bearing capacity and avoids the high cost associated with single-material optimization schemes. Simultaneously, this method significantly shortens the development cycle of automotive parts and enhances their market competitiveness.

[0068] After the cargo box design scheme passes the load-bearing capacity analysis, the technical solution of this invention conducts a durability test on the cargo box and a road test with a preset load on the cargo box of the whole vehicle. The maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box. This avoids the problem that without a durability test, it is impossible to determine the attenuation of the cargo box installation torque and the deformation in the height direction of the cargo box assembly.

[0069] Example 3 like Figure 15 As shown. A third aspect of the present invention provides an electronic device, comprising: a memory 201 for storing a computer program; and a processor 202 for executing the computer program to implement the simulation analysis-based cargo box design method of Embodiment 1.

[0070] The memory 201 in this embodiment is used to store various types of data to support the operation of the electronic device. Examples of such data include any computer program used to operate on the electronic device. It is understood that the memory 201 can be volatile memory or non-volatile memory, or both. Specifically, the non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disc, or compact disc read-only memory (CD-ROM); the magnetic surface memory can be disk storage or magnetic tape storage. Volatile memory can be random access memory (RAM), which is used as an external cache.By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), SyncLink Dynamic Random Access Memory (SLDRAM), and Direct Rambus Random Access Memory (DRRAM). The memory 201 described in the embodiments of this application is intended to include, but is not limited to, these and any other suitable types of memory.

[0071] The methods disclosed in the embodiments of this application can be applied to processor 202, or implemented by processor 202. Processor 202 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 202 or by instructions in the form of software. The processor 202 may be a general-purpose processor, a DSP (Digital Signal Processing, i.e., a chip capable of implementing digital signal processing technology), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 202 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. A general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the methods disclosed in the embodiments of this application can be directly manifested as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium, which is located in memory 201. Processor 202 reads the program in memory 201 and combines it with its hardware to complete the steps of the aforementioned method. When the processor 202 executes the program, it implements the corresponding processes in the various methods of the embodiments of this application. For the sake of brevity, these will not be described in detail here.

[0072] This invention establishes a finite element model of a cargo box based on its attribute information. This attribute information includes the target cargo load, target load-bearing capacity, and materials used in the cargo box. Based on the materials used, the physical and mechanical properties of the materials used in each component of the cargo box are obtained. According to different working conditions, the target cargo load is evenly distributed onto the cargo box floor plate using non-structural mass elements in the finite element model for counterweighting. Through CAE simulation, the load-bearing capacity is analyzed, and it is compared whether the maximum stress of each component of the cargo box exceeds the yield strength of the materials used in the cargo box under different working conditions. If it does not exceed the yield strength, the load-bearing capacity analysis of the cargo box design scheme is passed, and the cargo box design scheme after passing the load-bearing capacity analysis is output. This effectively solves the problem of low efficiency and reliability in cargo box design caused by existing technologies, and effectively improves the efficiency and reliability of cargo box design.

[0073] The cargo box attribute information in the technical solution of this invention also includes cargo box type, cargo box connection method with vehicle body, main cross-section of cargo box and vehicle body, and cross-section between main cross-section of cargo box. Finite element model of cargo box can be established based on different cargo box attribute information, ensuring the reliability of cargo box design.

[0074] The working conditions in the technical solution of this invention include bumpy working conditions, braking working conditions, turning working conditions, bump-crossing working conditions, and combined working conditions. According to different working conditions, the target cargo mass can be evenly distributed on the cargo box bottom plate for counterweight using non-structural mass elements in the finite element model. Through CAE simulation and load-bearing capacity analysis, the maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box, further ensuring the reliability of the cargo box design.

[0075] In this invention, when the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box under different working conditions, the cargo box design is structurally optimized based on the load-bearing capacity analysis results from CAE simulation. This structural optimization involves one or more optional optimization schemes, including: increasing the number of weld points between cargo box components; increasing the amount of structural adhesive used for spot welding between cargo box components; increasing the number of reinforcing ribs in the cargo box; increasing the stress-bearing area between cargo box components; and replacing the cargo box material with one that has a higher yield strength. CAE simulation analysis can replace traditional empirical judgment and theoretical strength verification calculation methods to optimize the design, improving the efficiency and accuracy of verification analysis. This provides a basis for the design of lightweight cargo boxes with high load-bearing capacity and avoids the high cost associated with single-material optimization schemes. Simultaneously, this method significantly shortens the development cycle of automotive parts and enhances their market competitiveness.

[0076] After the cargo box design scheme passes the load-bearing capacity analysis, the technical solution of this invention conducts a durability test on the cargo box and a road test with a preset load on the cargo box of the whole vehicle. The maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box. This avoids the problem that without a durability test, it is impossible to determine the attenuation of the cargo box installation torque and the deformation in the height direction of the cargo box assembly.

[0077] Example 4 A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the simulation analysis-based cargo box design method as described in the first aspect of the present invention.

[0078] For example, it may include a memory 201 storing a computer program, which can be executed by a processor 202 to perform the steps described in the aforementioned method. The computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disc, or CD-ROM.

[0079] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks. Alternatively, if the integrated units of this application are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause an electronic device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0080] This invention establishes a finite element model of a cargo box based on its attribute information. This attribute information includes the target cargo load, target load-bearing capacity, and materials used in the cargo box. Based on the materials used, the physical and mechanical properties of the materials used in each component of the cargo box are obtained. According to different working conditions, the target cargo load is evenly distributed onto the cargo box floor plate using non-structural mass elements in the finite element model for counterweighting. Through CAE simulation, the load-bearing capacity is analyzed, and it is compared whether the maximum stress of each component of the cargo box exceeds the yield strength of the materials used in the cargo box under different working conditions. If it does not exceed the yield strength, the load-bearing capacity analysis of the cargo box design scheme is passed, and the cargo box design scheme after passing the load-bearing capacity analysis is output. This effectively solves the problem of low efficiency and reliability in cargo box design caused by existing technologies, and effectively improves the efficiency and reliability of cargo box design.

[0081] The cargo box attribute information in the technical solution of this invention also includes cargo box type, cargo box connection method with vehicle body, main cross-section of cargo box and vehicle body, and cross-section between main cross-section of cargo box. Finite element model of cargo box can be established based on different cargo box attribute information, ensuring the reliability of cargo box design.

[0082] The working conditions in the technical solution of this invention include bumpy working conditions, braking working conditions, turning working conditions, bump-crossing working conditions, and combined working conditions. According to different working conditions, the target cargo mass can be evenly distributed on the cargo box bottom plate for counterweight using non-structural mass elements in the finite element model. Through CAE simulation and load-bearing capacity analysis, the maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box, further ensuring the reliability of the cargo box design.

[0083] In this invention, when the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box under different working conditions, the cargo box design is structurally optimized based on the load-bearing capacity analysis results from CAE simulation. This structural optimization involves one or more optional optimization schemes, including: increasing the number of weld points between cargo box components; increasing the amount of structural adhesive used for spot welding between cargo box components; increasing the number of reinforcing ribs in the cargo box; increasing the stress-bearing area between cargo box components; and replacing the cargo box material with one that has a higher yield strength. CAE simulation analysis can replace traditional empirical judgment and theoretical strength verification calculation methods to optimize the design, improving the efficiency and accuracy of verification analysis. This provides a basis for the design of lightweight cargo boxes with high load-bearing capacity and avoids the high cost associated with single-material optimization schemes. Simultaneously, this method significantly shortens the development cycle of automotive parts and enhances their market competitiveness.

[0084] After the cargo box design scheme passes the load-bearing capacity analysis, the technical solution of this invention conducts a durability test on the cargo box and a road test with a preset load on the cargo box of the whole vehicle. The maximum stress of each component of the cargo box under different working conditions is compared to see if it exceeds the yield strength of the material used in the cargo box. This avoids the problem that without a durability test, it is impossible to determine the attenuation of the cargo box installation torque and the deformation in the height direction of the cargo box assembly.

[0085] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A design method for cargo boxes based on simulation analysis, characterized in that, include: A finite element model of the cargo box is established based on the cargo box attribute information; the cargo box attribute information includes the target cargo load capacity, the target load-bearing capacity, and the materials used in the cargo box. Based on the materials used in the cargo box, obtain the physical and mechanical properties of the materials used in each component of the cargo box; Depending on the working conditions, the target cargo mass is evenly distributed onto the cargo box floor plate using non-structural mass elements in the finite element model for counterweighting. The load-bearing capacity analysis is performed using CAE simulation. Under different working conditions, the maximum stress of each component of the cargo box is compared to see if it exceeds the yield strength of the material used in the cargo box. If it does not exceed the yield strength, the load-bearing capacity analysis of the cargo box design scheme is passed, and the cargo box design scheme after the load-bearing capacity analysis is passed is output.

2. The cargo box design method based on simulation analysis according to claim 1, characterized in that, The cargo box attribute information also includes cargo box type, cargo box connection method to vehicle body, main cross-section of cargo box and vehicle body, and cross-section between main cross-section of cargo box.

3. The cargo box design method based on simulation analysis according to claim 1, characterized in that, The operating conditions include bumpy conditions, braking conditions, turning conditions, bump-crossing conditions, and combined operating conditions.

4. The cargo box design method based on simulation analysis according to claim 3, characterized in that, Also includes: Under different working conditions, when the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box, the cargo box design scheme is structurally optimized based on the load-bearing capacity analysis results of CAE simulation.

5. The cargo box design method based on simulation analysis according to claim 4, characterized in that, The structural optimization of the cargo box design scheme is one or more optional structural optimization schemes, wherein the optional structural optimization schemes include: Increase the number of weld points between the various components of the cargo box; Add structural adhesive to the spot welding points between the various components of the cargo box; Increase the number of reinforcing ribs in the cargo box; Increase the stress-bearing area between the various components of the cargo box; Replace the cargo box material with one that has a higher yield strength.

6. The cargo box design method based on simulation analysis according to claim 1, characterized in that, Also includes: After the cargo box design scheme passes the load-bearing capacity analysis, a durability test is conducted on the cargo box.

7. The cargo box design method based on simulation analysis according to claim 6, characterized in that, After the load-bearing capacity analysis of the cargo box design is passed, the durability test of the cargo box is carried out as follows: Road tests were conducted on the cargo box of the vehicle with a preset load to compare whether the maximum stress of each component in the cargo box under different working conditions exceeded the yield strength of the material used in the cargo box. If it did not exceed the yield strength, the cargo box design scheme was approved.

8. A cargo box design device based on simulation analysis, characterized in that, include: A module is established to create a finite element model of the cargo box based on its attribute information; the cargo box attribute information includes the target cargo load capacity, the target load-bearing capacity, and the materials used in the cargo box. The acquisition module, based on the materials used in the cargo box, acquires the physical and mechanical properties of the materials used in each component of the cargo box; The counterweight module distributes the target cargo mass evenly onto the cargo box floor using non-structural mass elements in the finite element model, according to different working conditions. The simulation module uses CAE simulation to analyze the load-bearing capacity and compares whether the maximum stress of each component of the cargo box exceeds the yield strength of the material used in the cargo box under different working conditions. If it does not exceed the yield strength, the cargo box design scheme is approved, and the output cargo box design scheme after the load-bearing capacity analysis is approved is generated.

9. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor is configured to implement the simulation analysis-based cargo box design method as described in any one of claims 1-7 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the simulation analysis-based cargo box design method as described in any one of claims 1-7.

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