Chassis dynamics simulation parameter inversion and parameter adjustment optimization method and system

Abstract

The invention provides a chassis dynamics simulation parameter inversion and parameter adjustment optimization method and system. The method comprises the steps of building a chassis kinetic model; creating a chassis kinetic parameterized model based on the chassis kinetic model; taking the actual measurement characteristic curve of any chassis component as a target curve, taking the chassis component basic parameters input by simulation as inversion variables, adjusting the chassis component basic parameters to enable a simulation curve correspondingly output by the chassis kinetic parameterized model to be close to the target curve, and obtaining inverted chassis component basic parameters; completing calibration of basic parameters of the chassis part; the calibrated chassis component basic parameters are configured to the chassis dynamical model to obtain a basic chassis dynamical model, and then a basic chassis dynamical parameterized model is created based on the basic chassis dynamical model; and taking the characteristic curve of the benchmarking vehicle as a target curve or taking a specific performance value as a target performance value, and performing multi-parameter collaborative simulation optimization by using the basic chassis kinetic parameterized model.

Description

Technical Field

[0001] The present invention relates to the technical field of chassis simulation and adjustment, and in particular to a method and system for chassis dynamics simulation parameter inversion and parameter adjustment optimization. Background Art

[0002] The maneuverability and comfort of a car are two opposite unities. With the improvement of the car's maneuverability, the comfort will generally decrease. How to find a balance between the two is the key to car chassis tuning. Chassis tuning technology plays an important role in improving car performance and ride comfort. During the tuning process, chassis components such as suspension, braking, steering and tires require manufacturers to provide accessories with multiple parameters in multiple rounds of debugging, and perform multiple debugging, which is costly and time-consuming. However, through virtual simulation analysis, the effect of replacing chassis components can be achieved by replacing different parameters, which greatly reduces the time cost and the cost of using accessories, and provides a theoretical basis and technical support for chassis tuning. However, there are two problems that cannot be ignored in the simulation process. One is that the basic parameters of the vehicle chassis components are unknown or inaccurate, which leads to the simulation not being able to truly reflect the performance of the vehicle. Second, in the process of chassis tuning or benchmarking with competing products, since there is no clear performance parameter range for each component, it is time-consuming and labor-intensive to manually adjust the parameters based on experience, and sometimes even leads to a weakening of performance. Summary of the invention

[0003] In order to solve the above technical problem or at least partially solve the above technical problem, the present invention provides a method and system for chassis dynamics simulation parameter inversion and parameter adjustment optimization.

[0004] In a first aspect, the present invention provides a method for chassis dynamics simulation parameter inversion and parameter tuning optimization, comprising:

[0005] Extract the dynamic hard points of the chassis according to the three-dimensional model and structural characteristics of the vehicle, build a chassis dynamics model through dynamics simulation software, and configure the properties of components and parameters to be inverted in the chassis dynamics model;

[0006] Create a chassis dynamics parametric model based on the chassis dynamics model that can be parametrically modified, updated and simulated;

[0007] Taking the measured characteristic curve of any chassis component as the target curve, the basic parameters of the chassis component input by simulation as the inversion variables, adjusting the basic parameters of the chassis component so that the simulation curve corresponding to the output of the chassis dynamics parameterization model is close to the target curve, obtaining the inverted basic parameters of the chassis component, and completing the calibration of the basic parameters of the chassis component, wherein the basic parameters of the chassis component include chassis structure parameters and chassis performance parameters;

[0008] Configuring the calibrated basic parameters of chassis components into the chassis dynamics model to obtain a basic chassis dynamics model, and then creating a basic chassis dynamics parameterized model that can be parameterized, updated and simulated based on the basic chassis dynamics model;

[0009] The characteristic curve of the benchmark vehicle is used as the target curve or a specific performance value is used as the target performance value, and a basic chassis dynamics parameterized model is used to perform multi-parameter collaborative simulation optimization.

[0010] Furthermore, when configuring the properties of components and parameters to be inverted in the chassis dynamics model, the mass characteristics and elastic properties of the chassis components are set according to the initial parameters provided by the manufacturer, and for the parameters to be inverted, the initial values ​​are determined according to the general properties.

[0011] Furthermore, creating a chassis dynamics parametric model that can be parametrically modified, updated and simulated based on the chassis dynamics model includes: using the SimCode interface in the Isight software to read the ADAMS CAR command file simulation code program of the chassis dynamics model, so that the ADAMS CAR command file of the chassis dynamics basic model becomes an input file that supports parametric modification and updating of the model, and the input file has the function of executing simulation code with a command line and reading simulation results.

[0012] Furthermore, measured characteristic curves of chassis components are obtained through K&C tests of the vehicle, wherein the K&C tests include vertical bounce tests, roll motion tests, steering motion conditions tests, longitudinal force loading tests, lateral force loading tests, and return torque loading tests; the measured characteristic curves of chassis components include but are not limited to leaf spring stiffness curves, buffer block characteristic curves, wheel center stiffness characteristic curves, and shock absorber characteristic curves.

[0013] Furthermore, any one or several measured characteristic curves are used as the target curve, and the objective function between the target curve and the simulation curve corresponding to the chassis dynamics parameterization model output is constructed. The objective function uses the absolute value of the area difference between the target curve and the simulation curve and the x-axis, or the square sum error of the target curve and the simulation curve. The basic parameters of the chassis components input by the simulation are used as inversion variables, and the chassis dynamics parameterization model in the Isight software is continuously optimized and iterated until the objective function value is minimized, and the inverted basic parameters of the chassis components are obtained, completing the calibration of the basic parameters of the chassis components.

[0014] Furthermore, the calibrated basic parameters of the chassis components are configured into the chassis dynamics model to obtain the basic chassis dynamics model. The SimCode interface is used in the Isight software to read the ADAMS CAR command file simulation code program of the basic chassis dynamics model, so that the ADAMS CAR command file of the basic chassis dynamics basic model becomes an input file that supports parametric modification and updating of the model. The input file has the function of executing simulation code with the command line and reading simulation results.

[0015] Furthermore, the characteristic curve of the benchmark vehicle is used as the target curve or a specific performance value is used as the target performance value. The basic chassis dynamics parametric model is used to perform multi-parameter collaborative simulation optimization, including: taking the characteristic curve of the chassis components of the benchmark vehicle as the target curve, the simulation curve corresponding to the output of the basic chassis dynamics parametric model as the optimizable curve, and the basic parameters of the chassis components to be optimized as simulation input variables. The basic chassis dynamics parametric model is continuously optimized and iterated through Isight until the simulation curve is infinitely close to the target curve, thereby achieving the optimization of the basic parameters of the chassis components.

[0016] Furthermore, the characteristic curve of the benchmark vehicle is used as the target curve or a specific performance value is used as the target performance value. The basic chassis dynamics parameterized model is used for multi-parameter collaborative simulation optimization, including: taking the numerical value of any chassis performance or the numerical combination of any multiple performances as the target performance value, and the corresponding output simulation value of the basic chassis dynamics parameterized model is continuously optimized and iterated through Isight until the corresponding output simulation performance value is infinitely close to the target performance value, so as to achieve collaborative optimization of any one or more components and any one or more performance parameters, and find the optimal performance parameter adjustment.

[0017] In a second aspect, the present invention provides a chassis dynamics simulation parameter inversion and parameter tuning optimization device, comprising: at least one processing unit, the processing unit is connected to a storage unit via a bus unit, the storage unit stores a computer program, and when the computer program is executed by the processing unit, it implements the method for chassis dynamics simulation parameter inversion and parameter tuning optimization.

[0018] In a third aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method of chassis dynamics simulation parameter inversion and parameter adjustment optimization is implemented.

[0019] The above technical solution provided by the embodiment of the present invention has the following advantages compared with the prior art:

[0020] The dynamic hard points of the chassis are extracted according to the three-dimensional model and structural characteristics of the vehicle, and the chassis dynamics model is built through the dynamics simulation software. In the chassis dynamics model, the properties of the components and the properties of the parameters to be inverted are configured; based on the chassis dynamics model, a chassis dynamics parameterized model that can be parametrically modified, updated and simulated is created; the measured characteristic curve of any chassis component is used as the target curve, and the basic parameters of the chassis component input by the simulation are used as the inversion variables, and the basic parameters of the chassis component are adjusted so that the simulation curve corresponding to the output of the chassis dynamics parameterized model is close to the target curve, and the inverted basic parameters of the chassis component are obtained, and the calibration of the basic parameters of the chassis component is completed, wherein the basic parameters of the chassis component include chassis structural parameters and chassis performance parameters; the calibrated basic parameters of the chassis component are configured to the chassis dynamics model to obtain a basic chassis dynamics model, and then a basic chassis dynamics parameterized model that can be parametrically modified, updated and simulated is created based on the basic chassis dynamics model; the characteristic curve of the benchmark vehicle is used as the target curve or a specific performance value is used as the target performance value, and the basic chassis dynamics parameterized model is used for multi-parameter collaborative simulation optimization.

[0021] The first invention can quickly invert accurate basic dynamic simulation parameters of vehicle chassis components according to vehicle test performance; the second invention can solve the problems of large chassis tuning parameter range and high time cost, and can effectively and quickly find the optimal tuning parameters through a single parameter or multi-parameter collaborative optimization method to best allocate vehicle comfort and handling performance, and provide an important basis for subjective evaluation and test tuning. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0024] Figure 1 A flow chart of the method for chassis dynamics simulation parameter inversion and parameter tuning optimization;

[0025] Figure 2 Flow chart for chassis dynamics simulation parameter inversion;

[0026] Figure 3 Schematic diagram of fitting the K&C working condition simulation curve to the target curve obtained by K&C test;

[0027] Figure 4The schematic diagram of the K&C working condition simulation curve adjustment;

[0028] Figure 5 An optimization flow chart for taking the characteristic curve of the chassis component of the benchmark vehicle as the target curve;

[0029] Figure 6 A flow chart for optimization with the goal of setting target performance;

[0030] Figure 7 Schematic diagram of the chassis dynamics simulation parameter inversion and parameter tuning optimization device. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0033] Example 1

[0034] See also Figure 1 As shown, the present application provides a method for chassis dynamics simulation parameter inversion and parameter tuning optimization, including:

[0035] A chassis dynamics model is established. The chassis dynamics hard points are extracted according to the three-dimensional model and structural characteristics of the vehicle. The chassis dynamics model is built through the dynamics simulation software ADAMS CAR. In the chassis dynamics model, the properties of chassis components and the properties of parameters to be inverted are configured. Among them, the mass characteristics and elastic properties of chassis components are set according to the initial parameters provided by the manufacturer, and the initial values ​​of the parameters to be inverted are determined according to the general properties.

[0036] Based on the chassis dynamics model, a chassis dynamics parametric model that can be parametrically modified, updated and simulated is created. The specific method is to use the SimCode interface in the Isight software to read the ADA MS CAR command file simulation code program, so that the AD AMS CAR command file of the chassis dynamics basic model becomes an input file that supports parametric modification and updating of the model. The input file has the function of command line execution of simulation code and reading simulation results.

[0037] like Figure 2 As shown, the measured characteristic curve of any chassis component is used as the target curve, and the basic parameters of the chassis component input by simulation are used as inversion variables. The basic parameters of the chassis component are adjusted so that the simulation curve corresponding to the output of the chassis dynamics parameterization model is close to the target curve, and the inverted basic parameters of the chassis component are obtained, and the calibration of the basic parameters of the chassis component is completed, wherein the basic parameters of the chassis component include chassis structure parameters and chassis performance parameters.

[0038] The measured characteristic curves of chassis components are obtained through the K&C test of the vehicle, wherein the K&C test includes vertical jump test, roll motion test, steering motion condition test, longitudinal force loading test, lateral force loading test, and return moment loading test; the characteristic curves include but are not limited to leaf spring stiffness curve, buffer block characteristic curve, wheel center stiffness characteristic curve, and shock absorber characteristic curve, and the chassis component characteristic curve group composed of different characteristic curves. Any one or several measured characteristic curves are used as the target curve, and the objective function between the target curve and the simulation curve corresponding to the output of the chassis dynamics parameterization model is constructed. The objective function adopts the absolute value of the area difference between the target curve and the simulation curve and the x-axis, or the square sum error of the target curve and the simulation curve value. The basic parameters of the chassis components input by the simulation are used as inversion variables, and the chassis dynamics parameterization model in the Isight software is continuously optimized and iterated until the objective function value is minimized, so that the simulation curve is infinitely close to the target curve, which can make the input basic parameters of the simulated chassis components close to the actual situation, and complete the calibration of the basic parameters of the chassis components.

[0039] Take the inversion of leaf spring stiffness i1 and hard point position i2 (a, b, c) as an example: a chassis dynamics model is initially established in ADAMS CAR software, and the initial leaf spring stiffness and hard point position are set, where the initial values ​​of the inversion are estimated based on general vehicles. Then the K&C working condition simulation is performed and the initial leaf spring displacement and force are output. Figure 3 As shown in the figure, the simulation data is fitted to the target curve obtained by the K&C test, and the objective function of the inverted displacement-force simulation curve and the displacement-force target curve obtained by the test is established. In this example, the minimum absolute value of the difference between the target value and the area enclosed by the simulation value and the x-axis is selected as the objective function. After N iterations, the objective function is adjusted to the extreme value, and the curve approximates the result, as shown in the figure. Figure 4As shown, at this time, the leaf spring stiffness i1 and hard point position i2 (a, b, c) can be output.

[0040] The inversion of the basic parameters of chassis components can also be performed with multiple parameters simultaneously. For example, one or more parameters of wheel alignment parameters, shock absorber damping force, coil spring stiffness, stabilizer bar stiffness and diameter, buffer block stiffness, connection bushing stiffness, etc. can be added to the inversion process as undetermined variables for simultaneous inversion.

[0041] The calibrated basic parameters of chassis components are configured into the chassis dynamics model to obtain a basic chassis dynamics model, and then a basic chassis dynamics parametric model that can be parametrically modified, updated and simulated is created based on the basic chassis dynamics model.

[0042] The characteristic curve of the benchmark vehicle is used as the target curve or the specific performance value is used as the target performance value, and the basic chassis dynamics parameterized model is used for multi-parameter collaborative simulation optimization. The present invention provides simulation optimization of multiple structural parameters and multiple performance targets for chassis tuning. Through multi-parameter optimization, the tuning vehicle can quickly reach the performance value of the benchmark vehicle or the preset target performance value, and obtain the optimal tuning parameters. The optimization process can use the characteristic curve of the benchmark vehicle as the target, or use the specific performance value as the target performance value for multi-parameter collaborative optimization.

[0043] like Figure 5 As shown in the figure, the characteristic curve of the chassis components of the benchmark vehicle is used as the target curve, the simulation curve corresponding to the output of the basic chassis dynamics parameterized model is used as the optimizable curve, and the basic parameters of the chassis components to be optimized are used as simulation input variables. The basic chassis dynamics parameterized model is continuously optimized and iterated through Isight until the simulation curve is infinitely close to the target curve, thus realizing the optimization of the basic parameters of the chassis components. In addition, multiple parameters can also be optimized simultaneously.

[0044] In addition, if Figure 6 As shown in the figure, any one performance value or multiple performance values ​​are taken as the target performance value, and the corresponding simulated performance value output by the basic chassis dynamics parameterized model is taken as the optimizable performance. The basic chassis dynamics parameterized model is continuously optimized and iterated by Isight until the simulated performance value is infinitely close to the target performance value, so as to achieve the effect of coordinated optimization of multiple components and multiple performance parameters, and effectively and quickly find the optimal combination of tuning parameters to achieve the best distribution of comfort and handling.

[0045] Take the simultaneous optimization of front spring stiffness i1, rear spring stiffness i2, stabilizer bar stiffness i3, and diameter i4 as an example: a basic chassis dynamics model is established based on the basic parameters of chassis components after inversion, and then K&C working condition simulation is performed to output the initial leaf spring displacement and force. The simulation data is fitted to the target curve obtained by the K&C test, and the objective function of the inverted displacement-force curve and the displacement-force curve obtained by the test is established. In this example, the minimum absolute value of the difference between the target curve and the area enclosed by the simulation curve and the x-axis is still selected as the objective function. After N iterations of optimization, the objective function is optimized to obtain the extreme value, and the optimized front spring stiffness i1, rear spring stiffness i2, stabilizer bar stiffness i3, and diameter i4 are obtained. In addition, the body roll angle, lateral acceleration, yaw rate and other performance values ​​can be used as target performance values ​​to optimize the front spring stiffness i1, rear spring stiffness i2, stabilizer bar stiffness i3 and diameter i4. The simulation performance value corresponding to the output of the basic chassis dynamics model is continuously optimized and iterated through Isight until the simulation performance value is infinitely close to the target performance value, and the optimal front spring stiffness i1, rear spring stiffness i2, stabilizer bar stiffness i3 and diameter i4 are obtained. Similarly, one or more parameters such as wheel alignment parameters, shock absorber damping force, buffer block stiffness, connection bushing stiffness, etc. can be added to the optimization process as undetermined variables for simultaneous optimization.

[0046] The first invention can quickly invert accurate basic dynamic simulation parameters of vehicle chassis components according to vehicle test performance; the second invention can solve the problems of large chassis tuning parameter range and high time cost, and can effectively and quickly find the optimal tuning parameters through a single parameter or multi-parameter collaborative optimization method to best allocate vehicle comfort and handling performance, and provide an important basis for subjective evaluation and test tuning.

[0047] Example 2

[0048] like Figure 7 As shown, the present invention provides a chassis dynamics simulation parameter inversion and parameter tuning optimization device, characterized in that it includes: at least one processing unit, the processing unit is connected to a storage unit through a bus unit, the storage unit stores a computer program, and when the computer program is executed by the processing unit, the method for chassis dynamics simulation parameter inversion and parameter tuning optimization is implemented, including:

[0049] Extract the dynamic hard points of the chassis according to the three-dimensional model and structural characteristics of the vehicle, build a chassis dynamics model through dynamics simulation software, and configure the properties of components and parameters to be inverted in the chassis dynamics model;

[0050] Create a chassis dynamics parametric model based on the chassis dynamics model that can be parametrically modified, updated and simulated;

[0051] Taking the measured characteristic curve of any chassis component as the target curve, the basic parameters of the chassis component input by simulation as the inversion variables, adjusting the basic parameters of the chassis component so that the simulation curve corresponding to the output of the chassis dynamics parameterization model is close to the target curve, obtaining the inverted basic parameters of the chassis component, and completing the calibration of the basic parameters of the chassis component, wherein the basic parameters of the chassis component include chassis structure parameters and chassis performance parameters;

[0052] Configuring the calibrated basic parameters of chassis components into the chassis dynamics model to obtain a basic chassis dynamics model, and then creating a basic chassis dynamics parameterized model that can be parameterized, updated and simulated based on the basic chassis dynamics model;

[0053] The characteristic curve of the benchmark vehicle is used as the target curve or a specific performance value is used as the target performance value, and a basic chassis dynamics parameterized model is used to perform multi-parameter collaborative simulation optimization.

[0054] Of course, the computer program stored in the storage unit of a chassis dynamics simulation parameter inversion and parameter adjustment optimization device provided in an embodiment of the present invention is not limited to the method operations described above, and can also execute related operations in a chassis dynamics simulation parameter inversion and parameter adjustment optimization method provided in any embodiment of the present invention.

[0055] Example 3

[0056] An embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program. When the computer program is executed by a host computer and a hardware-in-the-loop simulation test platform, the method for chassis dynamics simulation parameter inversion and parameter tuning optimization is implemented, including:

[0057] Extract the dynamic hard points of the chassis according to the three-dimensional model and structural characteristics of the vehicle, build a chassis dynamics model through dynamics simulation software, and configure the properties of components and parameters to be inverted in the chassis dynamics model;

[0058] Create a chassis dynamics parametric model based on the chassis dynamics model that can be parametrically modified, updated and simulated;

[0059] Taking the measured characteristic curve of any chassis component as the target curve, the basic parameters of the chassis component input by simulation as the inversion variables, adjusting the basic parameters of the chassis component so that the simulation curve corresponding to the output of the chassis dynamics parameterization model is close to the target curve, obtaining the inverted basic parameters of the chassis component, and completing the calibration of the basic parameters of the chassis component, wherein the basic parameters of the chassis component include chassis structure parameters and chassis performance parameters;

[0060] Configuring the calibrated basic parameters of chassis components into the chassis dynamics model to obtain a basic chassis dynamics model, and then creating a basic chassis dynamics parameterized model that can be parameterized, updated and simulated based on the basic chassis dynamics model;

[0061] The characteristic curve of the benchmark vehicle is used as the target curve or a specific performance value is used as the target performance value, and a basic chassis dynamics parameterized model is used to perform multi-parameter collaborative simulation optimization.

[0062] A computer-readable storage medium provided in an embodiment of the present invention stores a computer program which is not limited to the method operations described above, but can also execute related operations in a method for chassis dynamics simulation parameter inversion and parameter adjustment optimization provided in any embodiment of the present invention.

[0063] In the embodiments provided by the present invention, it should be understood that the disclosed methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the description division of the circuit is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling shown or discussed can be indirect coupling through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0064] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for chassis dynamics simulation parameter inversion and parameter tuning optimization, characterized in that: include: Extract the dynamic hard points of the chassis according to the three-dimensional model and structural characteristics of the vehicle, build a chassis dynamics model through dynamics simulation software, and configure the properties of components and parameters to be inverted in the chassis dynamics model; Create a chassis dynamics parametric model based on the chassis dynamics model that can be parametrically modified, updated and simulated; Taking the measured characteristic curve of any chassis component as the target curve, the basic parameters of the chassis component input by simulation as the inversion variables, adjusting the basic parameters of the chassis component so that the simulation curve corresponding to the output of the chassis dynamics parameterization model is close to the target curve, obtaining the inverted basic parameters of the chassis component, and completing the calibration of the basic parameters of the chassis component, wherein the basic parameters of the chassis component include chassis structure parameters and chassis performance parameters; Configuring the calibrated basic parameters of chassis components into the chassis dynamics model to obtain a basic chassis dynamics model, and then creating a basic chassis dynamics parameterized model that can be parameterized, updated and simulated based on the basic chassis dynamics model; The characteristic curve of the benchmark vehicle is used as the target curve or a specific performance value is used as the target performance value, and a basic chassis dynamics parameterized model is used to perform multi-parameter collaborative simulation optimization.

2. The method for chassis dynamics simulation parameter inversion and parameter tuning optimization according to claim 1, characterized in that: When configuring the properties of components and parameters to be inverted in the chassis dynamics model, the mass characteristics and elastic properties of chassis components are set according to the initial parameters provided by the manufacturer. For the parameters to be inverted, the initial values ​​are determined according to the general properties.

3. The method for chassis dynamics simulation parameter inversion and parameter tuning optimization according to claim 1 is characterized in that: Creating a chassis dynamics parametric model that can be parametrically modified, updated and simulated based on the chassis dynamics model includes: using the SimCode interface in the Isight software to read the ADAMS CAR command file simulation code program of the chassis dynamics model, so that the ADAMS CAR command file of the chassis dynamics basic model becomes an input file that supports parametric modification and updating of the model. The input file has the function of executing simulation code with a command line and reading simulation results.

4. The method for chassis dynamics simulation parameter inversion and parameter tuning optimization according to claim 1, characterized in that: The measured characteristic curves of the chassis components are obtained through the K&C test of the vehicle, wherein the K&C test includes a vertical bounce test, a roll motion test, a steering motion condition test, a longitudinal force loading test, a lateral force loading test, and a return torque loading test; the measured characteristic curves of the chassis components include but are not limited to a leaf spring stiffness curve, a buffer block characteristic curve, a wheel center stiffness characteristic curve, and a shock absorber characteristic curve.

5. The method for chassis dynamics simulation parameter inversion and parameter tuning optimization according to claim 1, characterized in that: Take any one or several measured characteristic curves as the target curve, and construct the objective function between the target curve and the simulation curve corresponding to the chassis dynamics parameterized model output. The objective function uses the absolute value of the area difference between the target curve, the simulation curve and the x-axis, or the square sum error between the target curve and the simulation curve. The basic parameters of the chassis components input by the simulation are used as inversion variables. The chassis dynamics parameterized model in the Isight software is continuously optimized and iterated until the objective function value is minimized, and the inverted basic parameters of the chassis components are obtained to complete the calibration of the basic parameters of the chassis components.

6. The method for chassis dynamics simulation parameter inversion and parameter tuning optimization according to claim 1, characterized in that: The calibrated basic parameters of chassis components are configured to the chassis dynamics model to obtain the basic chassis dynamics model. The SimCode interface is used in the Isight software to read the ADAMS CAR command file simulation code program of the basic chassis dynamics model, so that the ADAMS CAR command file of the basic chassis dynamics basic model becomes an input file that supports parametric modification and updating of the model. The input file has the function of executing simulation code and reading simulation results through the command line.

7. The method for chassis dynamics simulation parameter inversion and parameter tuning optimization according to claim 1 is characterized in that: Taking the characteristic curve of the benchmark vehicle as the target curve or taking a specific performance value as the target performance value, using the basic chassis dynamics parametric model for multi-parameter collaborative simulation optimization includes: taking the characteristic curve of the chassis components of the benchmark vehicle as the target curve, the simulation curve corresponding to the output of the basic chassis dynamics parametric model as the optimizable curve, and the basic parameters of the chassis components to be optimized as simulation input variables. Isight is used to continuously optimize and iterate the basic chassis dynamics parametric model until the simulation curve is infinitely close to the target curve, thereby optimizing the basic parameters of the chassis components.

8. The method for chassis dynamics simulation parameter inversion and parameter tuning optimization according to claim 1, characterized in that: Taking the characteristic curve of the benchmark vehicle as the target curve or taking a specific performance value as the target performance value, using the basic chassis dynamics parameterized model for multi-parameter collaborative simulation optimization includes: taking the numerical value of any chassis performance or any combination of numerical values ​​of multiple performances as the target performance value, and continuously optimizing and iterating the corresponding output simulation value of the basic chassis dynamics parameterized model through Isight until the corresponding output simulation performance value is infinitely close to the target performance value, so as to achieve collaborative optimization of any one or more components and any one or more performance parameters, and find the optimal performance parameter adjustment.

9. A chassis dynamics simulation parameter inversion and parameter adjustment optimization device, characterized in that: include: At least one processing unit, the processing unit is connected to a storage unit via a bus unit, the storage unit stores a computer program, and when the computer program is executed by the processing unit, a method for chassis dynamics simulation parameter inversion and parameter adjustment optimization as described in any one of claims 1-8 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for chassis dynamics simulation parameter inversion and parameter adjustment optimization as described in any one of claims 1 to 8 is implemented.

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