Parameterization optimization analysis method, device and equipment for comprehensive performance of frame structure

Abstract

The invention relates to the technical field of vehicles, in particular to a parameterized optimization analysis method, device and equipment for the comprehensive performance of a vehicle frame structure. Comprising the steps of obtaining a geometric model of a to-be-optimized frame, and determining a wheelbase parameter, a material thickness parameter and a change interval of each parameter of a target frame according to the model; an automatic parameter analysis system based on the rigidity and modal performance of the frame is established, and based on the automatic parameter analysis system, the rigidity and modal of the frame assembly structure corresponding to the multiple parameter combinations are obtained according to the wheelbase parameter, the material thickness parameter and the change interval of each parameter; and determining an optimal parameter combination and at least one group of suboptimal parameter combinations according to the rigidity and modal generation parameters of the frame assembly structure corresponding to each parameter combination, and obtaining final parameters of the to-be-optimized frame according to the optimal parameter combination and the at least one group of suboptimal parameter combinations. Therefore, the problems of repeated adjustment, development cycle prolonging and substandard optimization in related technologies are solved, and the development efficiency and the performance quality of the frame are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a parameterized optimization analysis method, device and equipment for comprehensive performance of a vehicle frame structure. BACKGROUND

[0002] Hard off-road vehicle models and truck chassis both contain frame assembly structures, which are composed of two longitudinal beams, multiple cross beams and connecting plates, bear the core function of connecting the chassis suspension and the upper vehicle body, and bearing the main load of the vehicle, and the bending stiffness, torsional stiffness and modal comprehensive performance of the frame directly determine the performance of the vehicle.

[0003] In related technologies, when developing the stiffness and modal of the frame assembly, the structure thickness is modified to achieve the target when the stiffness and modal are not up to standard.

[0004] However, due to the lack of sensitivity of the thickness of each structure in the frame assembly to the stiffness and modal comprehensive performance, the lack of contribution of the thickness of each structure to the performance, and the inability to determine the optimal thickness combination of the longitudinal beam, cross beam and connecting plate, the related technology causes problems such as repeated adjustment, prolonged development cycle and substandard optimization, which need to be solved urgently. SUMMARY

[0005] The present application provides a parameterized optimization analysis method, device and equipment for comprehensive performance of a vehicle frame structure to solve the problems of repeated adjustment, prolonged development cycle and substandard optimization in related technologies, and improve the development efficiency and performance quality of the frame.

[0006] To achieve the above-mentioned purpose, the first aspect of the present application proposes a parameterized optimization analysis method for comprehensive performance of a vehicle frame structure, comprising the following steps: Obtain the geometric model of the frame to be optimized, and determine the wheelbase parameters, thickness parameters and variation range of each parameter of the target frame according to the geometric model; Establish a parameter automatic analysis system based on the stiffness and modal performance of the frame, and based on the parameter automatic analysis system, obtain the stiffness and modal of the frame assembly structure corresponding to a plurality of parameter combinations according to the wheelbase parameters, thickness parameters and variation range of each parameter; Generate parameter-determined optimal parameter combinations and at least one set of suboptimal parameter combinations according to the stiffness and modal of the frame assembly structure corresponding to the plurality of parameter combinations, and obtain the final parameters of the frame to be optimized according to the optimal parameter combinations and the at least one set of suboptimal parameter combinations.

[0007] According to one embodiment of the present application, the optimal parameter combinations and at least one set of suboptimal parameter combinations are generated according to the stiffness and modal of the frame assembly structure corresponding to the plurality of parameter combinations, comprising: generating a parameter contribution to frame vertical bending stiffness performance chart, a parameter contribution to frame torsional stiffness performance chart, a parameter contribution to frame vertical modal frequency performance chart, a parameter contribution to frame torsional modal frequency performance chart, a parameter sensitivity to frame vertical bending stiffness performance chart and a parameter correlation matrix chart according to stiffness and modal of frame assembly structure corresponding to the plurality of parameter combinations; determining the optimal parameter combination and the at least one suboptimal parameter combination according to the parameter contribution to frame vertical bending stiffness performance chart, the parameter contribution to frame torsional stiffness performance chart, the parameter contribution to frame vertical modal frequency performance chart, the parameter contribution to frame torsional modal frequency performance chart, the parameter sensitivity to frame vertical bending stiffness performance chart and the parameter correlation matrix chart.

[0008] According to one embodiment of the present application, after generating a parameter contribution to frame vertical bending stiffness performance chart, a parameter contribution to frame torsional stiffness performance chart, a parameter contribution to frame vertical modal frequency performance chart, a parameter contribution to frame torsional modal frequency performance chart, a parameter sensitivity to frame vertical bending stiffness performance chart and a parameter correlation matrix chart according to stiffness and modal of frame assembly structure corresponding to the plurality of parameter combinations, it further comprises: judging whether the current structural performance of the frame to be optimized meets the preset standard condition based on the parameter contribution to frame vertical bending stiffness performance chart, the parameter contribution to frame torsional stiffness performance chart, the parameter contribution to frame vertical modal frequency performance chart, the parameter contribution to frame torsional modal frequency performance chart, the parameter sensitivity to frame vertical bending stiffness performance chart and the parameter correlation matrix chart; if the current structural performance of the frame to be optimized does not meet the preset standard condition, generating an optimization suggestion and sending the optimization suggestion to a preset mobile terminal.

[0009] According to one embodiment of the present application, after obtaining stiffness and modal of frame assembly structure corresponding to the plurality of parameter combinations according to the wheelbase parameter, the material thickness parameter and the variation interval of each parameter based on the parameter automatic analysis system, it further comprises: judging whether all parameter combinations are analyzed; if any parameter combination is not analyzed, analyzing the any parameter combination to obtain stiffness and modal of frame assembly structure corresponding to the any parameter combination through the parameter automatic analysis system.

[0010] According to one embodiment of the present application, after obtaining stiffness and modal of frame assembly structure corresponding to the plurality of parameter combinations according to the wheelbase parameter, the material thickness parameter and the variation interval of each parameter based on the parameter automatic analysis system, it further comprises: The rigidity and mode of the corresponding frame assembly structure of the plurality of parameter combinations are stored in a preset database.

[0011] According to the parameterized optimization analysis method for comprehensive performance of a frame structure provided in the embodiments of the present application, a geometric model of a frame to be optimized is obtained, the wheelbase, thickness parameters and respective variation intervals are determined, a parameter automatic analysis system for frame rigidity and mode is established, and the frame rigidity and mode corresponding to each parameter combination are obtained accordingly. The optimal and at least one sub-optimal parameter combination is determined based on the above data, and the final parameters of the frame to be optimized are obtained. Thus, the problems of repeated adjustment, prolonged development cycle and substandard optimization in the related art are solved, and the frame development efficiency and performance quality are improved.

[0012] To achieve the above object, the second aspect of the present application provides a parameterized optimization analysis device for comprehensive performance of a frame structure, comprising: An acquisition module acquires a geometric model of a frame to be optimized, and determines wheelbase parameters, thickness parameters and variation intervals of each parameter of a target frame according to the geometric model; A construction module establishes a parameter automatic analysis system based on frame rigidity and mode performance, and obtains the rigidity and mode of a frame assembly structure corresponding to a plurality of parameter combinations according to the wheelbase parameters, the thickness parameters and the variation intervals of each parameter based on the parameter automatic analysis system; A determination module generates an optimal parameter combination and at least one sub-optimal parameter combination according to the rigidity and mode of the frame assembly structure corresponding to the plurality of parameter combinations, and obtains the final parameters of the frame to be optimized according to the optimal parameter combination and the at least one sub-optimal parameter combination.

[0013] According to one embodiment of the present application, the determination module is specifically configured to: generate a parameter contribution degree graph for frame vertical bending stiffness performance, a parameter contribution degree graph for frame torsional stiffness performance, a parameter contribution degree graph for frame vertical mode frequency performance, a parameter contribution degree graph for frame torsional mode frequency performance, a parameter sensitivity graph for frame vertical bending stiffness performance and a parameter correlation matrix graph according to the rigidity and mode of the frame assembly structure corresponding to the plurality of parameter combinations; determine the optimal parameter combination and the at least one sub-optimal parameter combination according to the parameter contribution degree graph for frame vertical bending stiffness performance, the parameter contribution degree graph for frame torsional stiffness performance, the parameter contribution degree graph for frame vertical mode frequency performance, the parameter contribution degree graph for frame torsional mode frequency performance, the parameter sensitivity graph for frame vertical bending stiffness performance and the parameter correlation matrix graph.

[0014] According to one embodiment of the present application, the determination module is further configured to: Based on the contribution diagrams of the parameters to the vertical bending stiffness performance of the frame, the contribution diagrams of the parameters to the torsional stiffness performance of the frame, the contribution diagrams of the parameters to the vertical modal frequency performance of the frame, the contribution diagrams of the parameters to the torsional modal frequency performance of the frame, the sensitivity diagram of the parameters to the vertical bending stiffness performance of the frame, and the correlation matrix diagram of the parameters, it is determined whether the current structural performance of the frame to be optimized meets the preset compliance conditions. If the current structural performance of the frame to be optimized does not meet the preset compliance conditions, an optimization suggestion is generated and sent to a preset mobile terminal.

[0015] According to one embodiment of this application, the building module is further configured to: Determine whether all parameter combinations have been analyzed. If any parameter combination is not analyzed, the automatic parameter analysis system will analyze the parameter combination to obtain the stiffness and modal characteristics of the chassis assembly structure corresponding to the parameter combination.

[0016] According to one embodiment of this application, the building module is further configured to: The stiffness and modal characteristics of the chassis assembly structure corresponding to the combination of the multiple parameters are stored in a preset database.

[0017] The parametric optimization analysis device for the comprehensive performance of the frame structure proposed in this application obtains the geometric model of the frame to be optimized, determines the wheelbase, material thickness parameters and their respective variation ranges, and establishes an automated parameter analysis system for frame stiffness and modal characteristics. Based on this, the frame stiffness and modal characteristics corresponding to each parameter combination are obtained. Based on the above data, the optimal and at least one set of suboptimal parameter combinations are determined, thereby obtaining the final parameters of the frame to be optimized. This solves the problems of repeated adjustments, extended development cycles, and substandard optimization in related technologies, improving frame development efficiency and performance quality.

[0018] To achieve the above objectives, a third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the parametric optimization analysis method for the comprehensive performance of the vehicle frame structure as described in the above embodiments.

[0019] To achieve the above objectives, a fourth aspect of this application provides a computer-readable storage medium storing a computer program that is executed by a processor to implement the parametric optimization analysis method for the comprehensive performance of the vehicle frame structure as described in the above embodiments.

[0020] To achieve the above objectives, the fifth aspect of this application provides a computer program product, which, when executed by a processor, implements the parameterized optimization analysis method for the comprehensive performance of the vehicle frame structure as described in the above embodiments.

[0021] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0022] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a parametric optimization analysis method for the comprehensive performance of a vehicle frame structure according to an embodiment of this application; Figure 2 This is a schematic diagram of a vehicle frame assembly structure according to an embodiment of this application; Figure 3 This is a schematic diagram of an automated analysis system for comprehensive vehicle frame performance parameters according to an embodiment of this application; Figure 4 This is a schematic diagram of a formula for a Calculator-cons application component provided according to an embodiment of this application; Figure 5 This is a schematic diagram illustrating the calculation formulas for the vertical and horizontal bending stiffness and torsional stiffness of a frame assembly according to an embodiment of this application. Figure 6 This is a schematic diagram illustrating the contribution of parameters provided according to an embodiment of this application to the vertical bending stiffness performance of the vehicle frame; Figure 7 This is a schematic diagram illustrating the contribution of parameters provided according to an embodiment of this application to the torsional stiffness performance of the vehicle frame; Figure 8 This is a schematic diagram illustrating the contribution of parameters provided according to an embodiment of this application to the vertical modal frequency performance of the vehicle frame; Figure 9 This is a schematic diagram illustrating the contribution of parameters provided in one embodiment of this application to the torsional modal frequency performance of the vehicle frame. Figure 10 This is a schematic diagram illustrating the sensitivity of a vehicle frame to vertical bending stiffness performance based on parameters provided in one embodiment of this application. Figure 11 A correlation matrix diagram of input and output variables provided according to an embodiment of this application; Figure 12 This is a schematic diagram of the optimal combination of parameters for a vehicle frame assembly structure according to an embodiment of this application; Figure 13This is a flowchart of a parametric optimization analysis method for the comprehensive performance of a vehicle frame structure according to an embodiment of this application; Figure 14 This is a block diagram of a parametric optimization analysis device for the comprehensive performance of a vehicle frame structure provided in an embodiment of this application; Figure 15 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0023] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0024] The following describes, with reference to the accompanying drawings, a parametric optimization analysis method, apparatus, and electronic equipment for the comprehensive performance of a vehicle frame structure according to embodiments of this application. First, the parametric optimization analysis method for the comprehensive performance of a vehicle frame structure according to embodiments of this application will be described with reference to the accompanying drawings.

[0025] Figure 1 This is a flowchart of a parametric optimization analysis method for the comprehensive performance of a vehicle frame structure according to an embodiment of this application.

[0026] like Figure 1 As shown, the parametric optimization analysis method for the overall performance of the chassis structure includes the following steps: In step S101, the geometric model of the frame to be optimized is obtained, and the wheelbase parameter, material thickness parameter and variation range of each parameter of the target frame are determined based on the geometric model.

[0027] The geometric model of the frame to be optimized refers to a three-dimensional mathematical representation model constructed digitally to improve frame performance, containing complete geometric features of the frame and requiring parameter adjustments. The target frame is the frame to be optimized. The wheelbase parameter refers to the vertical distance between the centerlines of two adjacent axles on the vehicle within the longitudinal plane of symmetry. The material thickness parameter refers to the wall thickness of the structural components used in the frame.

[0028] Specifically, the geometric model of the frame to be optimized is obtained, including typical structures such as longitudinal beams, longitudinal beam reinforcements, crossbeams, and connecting plates between crossbeams and longitudinal beams. For example, such as Figure 2 As shown, Figure 2 This is a schematic diagram of a vehicle frame assembly structure according to an embodiment of this application. Figure 2For example, the wheelbase parameter tran1 of the target frame is determined according to the geometric model. It is located between the middle 1 crossbeam and the middle 2 crossbeam, and the parameter can vary within a range of ±200mm. Then, the thickness parameters of the structural materials such as the longitudinal beam, longitudinal beam reinforcing plate, crossbeam, and crossbeam connecting plate are determined. The thickness of the longitudinal beam (zl) is used as the parameter, and the parameter varies within an integer range of 4-10mm. Finally, the performance index corresponding to the frame assembly structure, i.e., the output parameter (response), is determined. In this embodiment, the torsional, horizontal, and vertical stiffness of the frame, as well as the torsional, horizontal, and vertical modal frequencies are included. The input and output parameters and their value ranges are shown in Table 1.

[0029] Table 1

[0030] In step S102, an automated parameter analysis system based on frame stiffness and modal performance is established. Based on the automated parameter analysis system, the stiffness and modal performance of the frame assembly structure corresponding to multiple parameter combinations are obtained according to the wheelbase parameter, material thickness parameter and the variation range of each parameter.

[0031] Modal performance refers to the inherent set of vibration properties of a vehicle frame under no external excitation. An automated parameter analysis system is an intelligent engineering analysis tool that integrates parameter management, geometric modeling, simulation calculation, result analysis, and output, with parameter-driven operation at its core.

[0032] Specifically, embodiments of this application establish an automated parameter system for frame stiffness and modal performance based on software (such as ISIGHT software). Taking ISIGHT as an example, a system is established as follows: Figure 3 The parameter automated analysis system shown Figure 3 This is a schematic diagram of an automated analysis system for comprehensive vehicle frame performance parameters according to an embodiment of this application. The system includes a drive component and six application components. The function of the drive component is to drive the changes in variables and the automated repetitive operation of the application components until all parameter combinations have been calculated. Further, the six application components are the Calculators-cons application component (constraint calculator component), the Hm-morph application component (network deformation component), the Hm-translate application component (network transformation component), the ABAQUS-cal application component (ABAQUS parametric analysis component), the ABAQUS-out application component (ABAQUS result output component), and the Calculators-form application component (calculator form component), each with its own function.

[0033] Taking the parameters in Table 1 as an example, the Calculators-cons application component establishes the constraint relationship between the wheelbase variation parameters trans1, trans2, and trans3 and the loading position translation distance parameter (node_trans1) and the constraint point translation distance parameter (node_trans2). This is because when calculating the vertical bending stiffness of the frame, the load needs to be applied to the middle of the frame wheelbase. Each time the frame wheelbase parameter changes, the loading position of the concentrated force also needs to move accordingly, and the position of the constraint point also needs to change. This constraint relationship ensures that after the wheelbase changes, the loading point position remains at the midpoint of the inter-axle longitudinal beam. Figure 4 As shown, Figure 4 This is a schematic diagram of the formula of the Calculators-cons application component provided according to an embodiment of this application.

[0034] The Hm-morph application component is based on the morph (network deformation) function of HyperMesh (HyperMesh finite element preprocessing software), which imports hypermesh script files to identify the values ​​of the wheelbase parameter changes, and establishes the wheelbase input parameters trans1, trans2, trans3 and the parameter change range in ISIGHT software.

[0035] The Hm-translate application component is designed to: establish the translation distance parameters node_trans1 and node_trans2 of the loading point and constraint point after the wheelbase changes, and output the vertical, horizontal and torsional stiffness calculation files of the chassis assembly structure for subsequent use.

[0036] The ABAQUS-cal application component functions to: establish the thickness parameters of longitudinal beams, cross beams, and connecting plates; establish the output parameters of the modal frequency response of the vehicle frame assembly structure; and simultaneously call ABAQUS to calculate the vertical, horizontal, and torsional stiffness output by the previous application component, with the calculation results used by the next component.

[0037] The function of the ABAQUS-out application component is to establish the displacement and support reaction response parameters obtained after calculating the vertical, horizontal, and torsional stiffness of the chassis assembly structure, so that subsequent application components can use them to calculate the corresponding stiffness.

[0038] The Calculators-cons application component functions to calculate the vertical and horizontal bending stiffness and torsional stiffness of the chassis assembly using the displacement, support reaction force, and changed wheelbase output by the previous application component. Figure 5 As shown, Figure 5 This is a schematic diagram illustrating the calculation formulas for the vertical and horizontal bending stiffness and torsional stiffness of a vehicle frame assembly according to an embodiment of this application.

[0039] The automated system for chassis performance parameters based on ISIGHT software adjusts the input parameters of the drive components after each set of parameter combinations is calculated, and then loops through the six application components again until all parameter combinations are calculated. Finally, the stiffness and modal characteristics of the chassis assembly structure corresponding to multiple parameter combinations are calculated.

[0040] In step S103, the optimal parameter combination and at least one set of suboptimal parameter combinations are determined based on the stiffness and modal generation parameters of the frame assembly structure corresponding to multiple parameter combinations, and the final parameters of the frame to be optimized are obtained based on the optimal parameter combination and at least one set of suboptimal parameter combinations.

[0041] Furthermore, in some embodiments, determining the optimal parameter combination and at least one set of suboptimal parameter combinations based on the stiffness and modal generation parameters of the frame assembly structure corresponding to multiple parameter combinations includes: determining the contribution diagrams of the stiffness and modal generation parameters of the frame assembly structure corresponding to multiple parameter combinations to the vertical bending stiffness performance of the frame, the contribution diagrams of the parameters to the torsional stiffness performance of the frame, the contribution diagrams of the parameters to the vertical modal frequency performance of the frame, the contribution diagrams of the parameters to the torsional modal frequency performance of the frame, the sensitivity diagrams of the parameters to the vertical bending stiffness performance of the frame, and the parameter correlation matrix diagram; and determining the optimal parameter combination and at least one set of suboptimal parameter combinations based on the contribution diagrams of the parameters to the vertical bending stiffness performance of the frame, the contribution diagrams of the parameters to the torsional stiffness performance of the frame, the contribution diagrams of the parameters to the vertical modal frequency performance of the frame, the contribution diagrams of the parameters to the torsional modal frequency performance of the frame, the sensitivity diagrams of the parameters to the vertical bending stiffness performance of the frame, and the parameter correlation matrix diagram.

[0042] The optimal parameter combination refers to a set of parameters selected through analysis and calculation within a preset range of design variable values. This set enables the chassis to achieve the preset optimal target while simultaneously satisfying all engineering constraints. The suboptimal parameter combination refers to a set of parameters selected from all feasible parameter combinations that meet engineering constraints, based on the optimal parameter combination as the performance benchmark. These combinations ensure that the deviation of core performance indicators from the optimal combination is controlled within an acceptable engineering range and that they possess significant advantages in specific engineering dimensions.

[0043] Specifically, the stiffness and modal generation parameters of the frame assembly structure corresponding to multiple parameter combinations are used as input parameters: This yields a Pareto diagram of the input parameters' contribution to the frame's vertical bending stiffness performance, i.e., a contribution diagram, as shown below. Figure 6 As shown, Figure 6 This is a schematic diagram illustrating the contribution of parameters provided in one embodiment of this application to the vertical bending stiffness performance of the vehicle frame. As shown in the diagram, the thickness parameter of the longitudinal beam has the largest contribution to the vertical bending stiffness performance of the vehicle frame, ranging from 50% to 55%. The contribution diagram of input parameters to the vertical bending stiffness performance of the vehicle frame is obtained as follows: Figure 7 As shown, Figure 7This is a schematic diagram illustrating the contribution of parameters provided in one embodiment of this application to the torsional stiffness performance of the vehicle frame. The thickness parameter of the longitudinal beam has the largest contribution to the torsional stiffness performance of the frame, ranging from 35% to 40%. A diagram showing the contribution of input parameters to the vertical modal frequency performance of the frame is also obtained. Figure 8 As shown, Figure 8 This is a schematic diagram illustrating the contribution of parameters provided in one embodiment of this application to the vertical modal frequency performance of the vehicle frame. In the diagram, blue represents a positive correlation (i.e., performance improves with increasing parameter thickness), and red represents a negative correlation (i.e., performance improves with decreasing parameter thickness). It can be seen that the thickness parameter of the longitudinal beam stiffener has the largest contribution to the vertical modal frequency performance of the vehicle frame, ranging from 30% to 40%. The contribution diagram of input parameters to the torsional modal frequency performance of the vehicle frame is also obtained, as shown below. Figure 9 As shown, Figure 9 This is a schematic diagram illustrating the contribution of parameters provided in one embodiment of this application to the torsional modal frequency performance of the frame. In the diagram, blue represents a positive correlation (i.e., increased parameter thickness leads to improved performance), and red represents a negative correlation (i.e., decreased parameter leads to improved performance). It can be seen that the thickness parameter of the longitudinal beam stiffening plate has the largest contribution to the torsional modal frequency performance of the frame, ranging from 15% to 20%. The main effect diagram of the input parameters on the vertical bending stiffness performance of the frame, i.e., the sensitivity diagram, is obtained as follows: Figure 10 As shown, Figure 10 This diagram illustrates the sensitivity of parameters provided in one embodiment of this application to the vertical bending stiffness performance of the vehicle frame. A higher slope indicates greater sensitivity of this parameter to performance; that is, minor adjustments to the parameter result in a larger change in performance. It is evident that the longitudinal beam thickness parameter has the highest sensitivity to the bending stiffness performance of the vehicle frame. Other performance parameters, such as torsional stiffness and modal frequencies of the vehicle frame, can also be analyzed using the same method.

[0044] Based on all the analyzed data, a parameter correlation matrix is ​​plotted to comprehensively display the correlation between all input and output parameters, such as... Figure 11 As shown, Figure 11 This is a correlation matrix diagram of input and output variables provided according to an embodiment of this application. It represents a matrix diagram where the correlation coefficient between the input parameter and the output parameter is greater than 0.3. When the correlation coefficient r is between 0 and 1, it indicates that the input parameter and the output parameter are positively correlated, that is, when one variable increases, the other variable also increases. When the correlation coefficient r is between -1 and 0, it indicates that the input parameter and the output parameter are negatively correlated, that is, when one variable increases, the other variable decreases. The closer the absolute value of r is to 1, the higher the degree of relationship between the two variables.

[0045] Based on all the analytical data, determine the optimal parameter combination and at least one suboptimal parameter combination. For example... Figure 12 As shown, Figure 12This is a schematic diagram of the optimal parameter combination of the chassis assembly structure according to an embodiment of this application. In the diagram, green represents the optimal parameter combination and blue represents the suboptimal parameter combination.

[0046] It should be noted that the parameterized optimization analysis method for the overall performance of the frame structure in this application embodiment can also be applied to assembly structures with a large amount of sheet metal structure, such as subframes and body-in-white. It is not limited here.

[0047] Therefore, a geometric model of the chassis to be optimized is obtained, the wheelbase, material thickness parameters and their respective variation ranges are determined, and an automated parameter analysis system for chassis stiffness and modal characteristics is established. Based on this, the chassis stiffness and modal characteristics corresponding to each parameter combination are obtained. Based on the above data, the optimal and at least one set of suboptimal parameter combinations are determined, and thus the final parameters of the chassis to be optimized are obtained. This solves the problems of repeated adjustments, extended development cycles, and unsatisfactory optimization in related technologies, and improves chassis development efficiency and performance quality.

[0048] Furthermore, it is necessary to verify whether the current structural performance of the frame to be optimized meets the design expectations.

[0049] Optionally, in some embodiments, after generating a graph showing the contribution of parameters to the vertical bending stiffness performance, torsional stiffness performance, vertical modal frequency performance, torsional modal frequency performance, sensitivity to vertical bending stiffness performance, and parameter correlation matrix based on the stiffness and modal characteristics of the frame assembly structure corresponding to multiple parameter combinations, the method further includes: determining whether the current structural performance of the frame to be optimized meets preset compliance conditions based on the graphs showing the contribution of parameters to the vertical bending stiffness performance, torsional stiffness performance, vertical modal frequency performance, torsional modal frequency performance, sensitivity to vertical bending stiffness performance, and parameter correlation matrix; if the current structural performance of the frame to be optimized does not meet the preset compliance conditions, an optimization suggestion is generated and sent to a preset mobile terminal.

[0050] The preset compliance conditions can be user-defined conditions, conditions obtained through a limited number of experiments, or conditions obtained through a limited number of computer simulations. The preset mobile terminal refers to a pre-configured portable electronic device used to receive performance optimization suggestions.

[0051] Specifically, after generating graphs showing the contribution of parameters to the vertical bending stiffness performance, torsional stiffness performance, vertical modal frequency performance, torsional modal frequency performance, sensitivity to vertical bending stiffness performance, and correlation matrix of the frame assembly structure based on multiple parameter combinations, the following steps are taken: By identifying the contribution and sensitivity of input parameters to structural performance (output parameters), it is determined whether the current structural performance of the frame to be optimized meets the preset compliance conditions. If it is determined that it does not meet the conditions, an accurate positive guidance direction for structural improvement is directly generated and sent to a preset mobile terminal, thereby quickly achieving the target. It should be noted that the method can be applied to other structures. By identifying the correlation and degree of correlation between input parameters and structural performance (output parameters), including positive and negative correlation, it is determined whether the current structural performance of the frame to be optimized meets the preset compliance conditions. If it is determined that it does not meet the conditions, the relevant parameter variables are accurately adjusted to provide positive guidance for structural design and sent to a preset mobile terminal, thereby achieving the performance target.

[0052] This allows for rapid achievement of goals, meets cost control requirements, and reduces the cost of repetitive development.

[0053] Furthermore, in order to provide a complete and reliable dataset for selecting the optimal and suboptimal parameter combinations, this application ensures that no frame stiffness and modal data corresponding to all combinations of wheelbase and material thickness parameters are omitted.

[0054] Optionally, in some embodiments, after obtaining the stiffness and modal characteristics of the frame assembly structure corresponding to multiple parameter combinations based on the wheelbase parameter, material thickness parameter, and the variation range of each parameter using the parameter automated analysis system, the method further includes: determining whether all parameter combinations have been analyzed; if any parameter combination has not been analyzed, then analyzing any parameter combination using the parameter automated analysis system to obtain the stiffness and modal characteristics of the frame assembly structure corresponding to any parameter combination.

[0055] Specifically, when a systematic verification of the analysis status of all parameter combinations is required, if the verification finds that there are parameter combinations that have not been analyzed, including combinations that have not started analysis or have failed analysis, the automated parameter analysis system will complete the calculation of the stiffness and modal characteristics of the frame assembly structure corresponding to the unanalyzed combination.

[0056] This ensures that the final parameter combination is complete and effective, providing reliable data support for subsequent screening and optimization.

[0057] Furthermore, to avoid data loss due to sudden system interruptions or computational iterations, these data need to be stored in a database.

[0058] Optionally, in some embodiments, after obtaining the stiffness and modal characteristics of the frame assembly structure corresponding to multiple parameter combinations based on the wheelbase parameter, material thickness parameter, and the variation range of each parameter using the parameter-based automated analysis system, the method further includes: storing the stiffness and modal characteristics of the frame assembly structure corresponding to multiple parameter combinations in a preset database.

[0059] Specifically, in the parameter-based automated analysis system, after obtaining the stiffness and modal characteristics of the frame assembly structure corresponding to multiple parameter combinations based on wheelbase parameters, material thickness parameters, and the variation range of each parameter, all data is stored in a preset database for subsequent data analysis.

[0060] This ensures the integrity, traceability, and security of all data, providing a foundation for data retrieval in subsequent analyses, and also reserving data support for the reuse of historical data and the verification of results for similar chassis structure optimizations.

[0061] To facilitate a deeper understanding of parametric optimization analysis methods for the comprehensive performance of vehicle frame structures among those skilled in the art, the following section combines... Figure 13 Please provide an explanation.

[0062] like Figure 13 As shown, Figure 13 This is a flowchart of a method for parameterizing the comprehensive performance of a vehicle frame structure according to an embodiment of this application. The method includes the following steps: S1301, begin parametric optimization analysis of the overall performance of the chassis assembly structure.

[0063] S1302, identify and clarify the wheelbase parameters, material thickness parameters and variation range of the frame structure.

[0064] S1303 identifies the output parameters, i.e., performance parameters, of the clearly defined chassis structure.

[0065] S1304, Establish a frame parametric optimization analysis system based on ISIGHT software, including drive components.

[0066] S1305 clarifies the functions of the six application components in the system and the relevant formula inputs.

[0067] S1306, Determine whether the system can automatically repeat the 6 application components. If yes, proceed to step S1307; otherwise, return to steps S1304 and S1305.

[0068] S1307 runs the calculation of the output parameters, i.e., the performance, corresponding to all combinations of input parameters.

[0069] S1308, based on the calculated analysis data, plots the contribution of input parameters to output parameters.

[0070] S1309, based on the calculated and analyzed data, plots the main effect diagram, i.e., the sensitivity diagram, of the input and output parameters.

[0071] S1310, based on the calculated and analyzed data, draw a correlation matrix diagram between the input parameters and the output parameters.

[0072] S1311, based on computational analysis data, calculates the optimal solution of input parameters related to computational performance.

[0073] S1312, concludes the parametric optimization analysis of the overall structural performance of the chassis assembly.

[0074] According to the parameterized optimization analysis method for the comprehensive performance of the frame structure proposed in this application, the geometric model of the frame to be optimized is obtained, the wheelbase, material thickness parameters and their respective variation ranges are determined, and an automated parameter analysis system for frame stiffness and modal characteristics is established. Based on this, the frame stiffness and modal characteristics corresponding to each parameter combination are obtained. Based on the above data, the optimal and at least one set of suboptimal parameter combinations are determined, thereby obtaining the final parameters of the frame to be optimized. This solves the problems of repeated adjustments, extended development cycles, and substandard optimization in related technologies, improving frame development efficiency and performance quality.

[0075] Next, referring to the accompanying drawings, a parametric optimization analysis device for the comprehensive performance of the vehicle frame structure proposed in the embodiments of this application is described.

[0076] Figure 14 This is a block diagram of a parametric optimization analysis device for the comprehensive performance of a vehicle frame structure according to an embodiment of this application.

[0077] like Figure 14 As shown, the parametric optimization analysis device 10 for the comprehensive performance of the chassis structure includes: an acquisition module 100, a construction module 200, and a determination module 300.

[0078] The acquisition module 100 acquires the geometric model of the frame to be optimized, and determines the wheelbase parameters, material thickness parameters, and variation range of each parameter of the target frame based on the geometric model. Module 200 is constructed to establish an automated parameter analysis system based on frame stiffness and modal performance. Based on the automated parameter analysis system, the stiffness and modal performance of the frame assembly structure corresponding to multiple parameter combinations are obtained according to the wheelbase parameter, material thickness parameter and the variation range of each parameter. Module 300 determines the optimal parameter combination and at least one set of suboptimal parameter combinations based on the stiffness and modal generation parameters of the frame assembly structure corresponding to multiple parameter combinations, and obtains the final parameters of the frame to be optimized based on the optimal parameter combination and at least one set of suboptimal parameter combinations.

[0079] According to one embodiment of this application, the determining module 300 is specifically used for: The graphs show the contribution of parameters to the vertical bending stiffness performance, torsional stiffness performance, vertical modal frequency performance, torsional modal frequency performance, sensitivity of parameters to vertical bending stiffness performance, and parameter correlation matrix of the frame assembly structure corresponding to multiple parameter combinations. The optimal parameter combination and at least one suboptimal parameter combination are determined based on the parameter contribution diagrams to the vertical bending stiffness performance, torsional stiffness performance, vertical modal frequency performance, torsional modal frequency performance, sensitivity of parameters to vertical bending stiffness performance, and parameter correlation matrix.

[0080] According to one embodiment of this application, the determining module 300 is further configured to: Based on the parameter contribution diagrams to the vertical bending stiffness performance of the frame, the parameter contribution diagrams to the torsional stiffness performance of the frame, the parameter contribution diagrams to the vertical modal frequency performance of the frame, the parameter contribution diagrams to the torsional modal frequency performance of the frame, the parameter sensitivity diagram to the vertical bending stiffness performance of the frame, and the parameter correlation matrix, it is determined whether the current structural performance of the frame to be optimized meets the preset compliance conditions. If the current structural performance of the frame to be optimized does not meet the preset compliance conditions, optimization suggestions are generated and sent to the preset mobile terminal.

[0081] According to one embodiment of this application, the construction module 200 is further configured to: Determine whether all parameter combinations have been analyzed. If any parameter combination is not analyzed, the stiffness and modal characteristics of the chassis assembly structure corresponding to any parameter combination will be obtained by analyzing any parameter combination through the parameter automated analysis system.

[0082] According to one embodiment of this application, the construction module 200 is further configured to: The stiffness and modal characteristics of the chassis assembly structure corresponding to multiple parameter combinations are stored in a preset database.

[0083] It should be noted that the explanation of the aforementioned embodiment of the parametric optimization analysis method for the comprehensive performance of the vehicle frame structure also applies to the parametric optimization analysis device for the comprehensive performance of the vehicle frame structure in this embodiment, and will not be repeated here.

[0084] The parametric optimization analysis device for the comprehensive performance of the frame structure proposed in this application obtains the geometric model of the frame to be optimized, determines the wheelbase, material thickness parameters and their respective variation ranges, and establishes an automated parameter analysis system for frame stiffness and modal characteristics. Based on this, the frame stiffness and modal characteristics corresponding to each parameter combination are obtained. Based on the above data, the optimal and at least one set of suboptimal parameter combinations are determined, thereby obtaining the final parameters of the frame to be optimized. This solves the problems of repeated adjustments, extended development cycles, and substandard optimization in related technologies, improving frame development efficiency and performance quality.

[0085] Figure 15 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. The electronic device may include: The memory 1501, the processor 1502, and the computer program stored on the memory 1501 and executable on the processor 1502.

[0086] When the processor 1502 executes the program, it implements the parameterized optimization analysis method for the comprehensive performance of the chassis structure provided in the above embodiments.

[0087] Furthermore, electronic devices also include: Communication interface 1503 is used for communication between memory 1501 and processor 1502.

[0088] The memory 1501 is used to store computer programs that can run on the processor 1502.

[0089] The memory 1501 may include high-speed RAM (Random Access Memory) memory, and may also include non-volatile memory, such as at least one disk storage.

[0090] If the memory 1501, processor 1502, and communication interface 1503 are implemented independently, then the communication interface 1503, memory 1501, and processor 1502 can be interconnected via a bus to complete communication between them. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 15 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0091] Optionally, in a specific implementation, if the memory 1501, processor 1502, and communication interface 1503 are integrated on a single chip, then the memory 1501, processor 1502, and communication interface 1503 can communicate with each other through an internal interface.

[0092] Processor 1502 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention.

[0093] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the parametric optimization analysis method for the overall performance of the vehicle frame structure as described above.

[0094] This application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps in the parametric optimization analysis method embodiment for the comprehensive performance of any of the above-mentioned vehicle frame structures.

[0095] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0096] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0097] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A parametric optimization analysis method for the comprehensive performance of a vehicle frame structure, characterized in that, Includes the following steps: Obtain the geometric model of the frame to be optimized, and determine the wheelbase parameters, material thickness parameters, and variation range of each parameter of the target frame based on the geometric model; An automated parameter analysis system based on frame stiffness and modal performance is established. Based on the automated parameter analysis system, the stiffness and modal performance of the frame assembly structure corresponding to multiple parameter combinations are obtained according to the wheelbase parameter, the material thickness parameter, and the variation range of each parameter. The optimal parameter combination and at least one set of suboptimal parameter combinations are determined based on the stiffness and modal generation parameters of the frame assembly structure corresponding to the multiple parameter combinations, and the final parameters of the frame to be optimized are obtained based on the optimal parameter combination and the at least one set of suboptimal parameter combinations.

2. The method according to claim 1, characterized in that, The process of determining the optimal parameter combination and at least one set of suboptimal parameter combinations based on the stiffness and modal generation parameters of the vehicle frame assembly structure corresponding to the multiple parameter combinations includes: The graphs show the contribution of the stiffness and modal generation parameters of the frame assembly structure corresponding to the multiple parameter combinations to the vertical bending stiffness performance of the frame, the contribution of the parameters to the torsional stiffness performance of the frame, the contribution of the parameters to the vertical modal frequency performance of the frame, the contribution of the parameters to the torsional modal frequency performance of the frame, the sensitivity of the parameters to the vertical bending stiffness performance of the frame, and the parameter correlation matrix. The optimal parameter combination and the at least one set of suboptimal parameter combinations are determined based on the contribution diagrams of the parameters to the vertical bending stiffness performance of the frame, the contribution diagrams of the parameters to the torsional stiffness performance of the frame, the contribution diagrams of the parameters to the vertical modal frequency performance of the frame, the contribution diagrams of the parameters to the torsional modal frequency performance of the frame, the sensitivity diagrams of the parameters to the vertical bending stiffness performance of the frame, and the correlation matrix diagram of the parameters.

3. The method according to claim 1, characterized in that, Following the graphs showing the contribution of the stiffness and modal generation parameters of the chassis assembly structure corresponding to the multiple parameter combinations to the vertical bending stiffness performance, torsional stiffness performance, vertical modal frequency performance, torsional modal frequency performance, sensitivity of parameters to vertical bending stiffness performance, and parameter correlation matrix, the system also includes: Based on the contribution diagrams of the parameters to the vertical bending stiffness performance of the frame, the contribution diagrams of the parameters to the torsional stiffness performance of the frame, the contribution diagrams of the parameters to the vertical modal frequency performance of the frame, the contribution diagrams of the parameters to the torsional modal frequency performance of the frame, the sensitivity diagram of the parameters to the vertical bending stiffness performance of the frame, and the correlation matrix diagram of the parameters, it is determined whether the current structural performance of the frame to be optimized meets the preset compliance conditions. If the current structural performance of the frame to be optimized does not meet the preset compliance conditions, an optimization suggestion is generated and sent to a preset mobile terminal.

4. The method according to claim 1, characterized in that, After obtaining the stiffness and modal characteristics of the frame assembly structure corresponding to the multiple parameter combinations based on the parameter-based automated analysis system, according to the wheelbase parameter, the material thickness parameter, and the variation range of each parameter, the method further includes: Determine whether all parameter combinations have been analyzed. If any parameter combination is not analyzed, the automatic parameter analysis system will analyze the parameter combination to obtain the stiffness and modal characteristics of the chassis assembly structure corresponding to the parameter combination.

5. The method according to claim 1, characterized in that, After obtaining the stiffness and modal characteristics of the frame assembly structure corresponding to multiple parameter combinations based on the parameter-based automated analysis system, according to the wheelbase parameter, the material thickness parameter, and the variation range of each parameter, the system further includes: The stiffness and modal characteristics of the chassis assembly structure corresponding to the combination of the multiple parameters are stored in a preset database.

6. A parametric optimization analysis device for the comprehensive performance of a vehicle frame structure, characterized in that, include: The acquisition module acquires the geometric model of the frame to be optimized, and determines the wheelbase parameters, material thickness parameters, and variation range of each parameter of the target frame based on the geometric model. The module establishes an automated parameter analysis system based on frame stiffness and modal performance. Based on the automated parameter analysis system, the stiffness and modal performance of the frame assembly structure corresponding to multiple parameter combinations are obtained according to the wheelbase parameter, the material thickness parameter, and the variation range of each parameter. The determination module determines the optimal parameter combination and at least one set of suboptimal parameter combinations based on the stiffness and modal generation parameters of the frame assembly structure corresponding to each parameter combination, and obtains the final parameters of the frame to be optimized based on the optimal parameter combination and / or the at least one set of suboptimal parameter combinations.

7. The apparatus according to claim 6, characterized in that, The determining module is specifically used for: The graphs show the contribution of the stiffness and modal generation parameters of the frame assembly structure corresponding to the multiple parameter combinations to the vertical bending stiffness performance of the frame, the contribution of the parameters to the torsional stiffness performance of the frame, the contribution of the parameters to the vertical modal frequency performance of the frame, the contribution of the parameters to the torsional modal frequency performance of the frame, the sensitivity of the parameters to the vertical bending stiffness performance of the frame, and the parameter correlation matrix. The optimal parameter combination and the at least one set of suboptimal parameter combinations are determined based on the contribution diagrams of the parameters to the vertical bending stiffness performance of the frame, the contribution diagrams of the parameters to the torsional stiffness performance of the frame, the contribution diagrams of the parameters to the vertical modal frequency performance of the frame, the contribution diagrams of the parameters to the torsional modal frequency performance of the frame, the sensitivity diagrams of the parameters to the vertical bending stiffness performance of the frame, and the correlation matrix diagram of the parameters.

8. An electronic device, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the parametric optimization analysis method for the comprehensive performance of the chassis structure as described in any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the parametric optimization analysis method for the comprehensive performance of the chassis structure as described in any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the parameterized optimization analysis method for the comprehensive performance of the chassis structure as described in any one of claims 1-5.

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