Chassis performance evaluation method
By optimizing suspension parameters through vehicle dynamics models and parametric testing methods, the problem of low efficiency in traditional chassis verification was solved, enabling efficient and accurate chassis performance evaluation and improving vehicle safety and performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SINO TRUK JINAN POWER CO LTD
- Filing Date
- 2025-12-31
- Publication Date
- 2026-04-10
AI Technical Summary
Traditional chassis performance verification methods are inefficient, have long verification cycles, and are prone to human error, which affects design optimization and vehicle safety.
By using a vehicle dynamics model and parametric testing methods, combined with Isight and Adams Car software, factors such as suspension stiffness, damping, and steering ratio are optimized, and virtual simulation analysis is conducted to determine the optimal solution.
This improved the efficiency and accuracy of chassis performance verification, reduced the number of prototype trials, optimized suspension dynamics response, and enhanced vehicle ride comfort and handling stability.
Abstract
Description
Technical Field
[0001] This invention belongs to the field of chassis performance technology, and specifically relates to a method for evaluating chassis performance. Background Technology
[0002] In modern automotive design, chassis performance verification is a core component of vehicle design and manufacturing, aiming to ensure the chassis's performance and reliability under various operating conditions. Traditional verification methods primarily rely on performance verification of large batches of prototypes to calculate and evaluate verification indicators; however, this approach has some significant shortcomings.
[0003] Traditional verification methods are inefficient, requiring continuous testing and comparison on a large number of chassis samples, resulting in long verification cycles and impacting the efficiency of the entire design and manufacturing process. Furthermore, frequent testing during traditional verification processes can lead to human fatigue and memory confusion, inevitably introducing errors. These errors accumulate at various stages of data processing and analysis, potentially resulting in inaccurate verification results. Inaccurate results not only affect the optimization of chassis design but may also negatively impact vehicle safety and performance. Summary of the Invention
[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a chassis performance evaluation method that can effectively locate and adjust the reference parameters of the calibration sample, reduce the number of calibration sample sets, and improve the efficiency and accuracy of chassis performance verification.
[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for evaluating chassis performance includes the following steps: Step 1: Obtain vehicle parameters; Step 2: Establish a vehicle dynamics model based on the vehicle parameters; Step 3: Parameterize the vehicle dynamics model and select optimization factors; Step 4: Based on the vehicle dynamics model and factors, use parametric testing methods to analyze the optimal solution of the response of the six indicators.
[0006] Preferably, the vehicle parameters in step 1 include: hard point coordinates, mass of each component, moment of inertia, suspension bushing stiffness, front and rear spring stiffness, front and rear shock absorber damping, front and rear stabilizer bar stiffness, and steering subsystem transmission ratio.
[0007] Preferably, the optimization factors in step 3 include the front and rear spring stiffness, the front and rear shock absorber damping, and the front and rear stabilizer bar diameters.
[0008] Preferably, the six indicators in step 4 include understeer, roll gradient, yaw rate response peak time, yaw rate overshoot, yaw rate gain, and peak vertical acceleration at the driver's position.
[0009] Preferably, step 3 is implemented by integrating the Isight software with the multibody dynamics software Adams Car.
[0010] Preferably, the stiffness coefficient of the front and rear springs and the damping coefficient of the front and rear shock absorbers are 0.8-1.2, and the front and rear shock absorbers are dual-channel shock absorbers.
[0011] Preferably, in step 1, a parametric experimental method is used to perform sensitivity analysis on the vehicle response index, determine the single-variable sensitivity of the optimization factor corresponding to each vehicle response index, and perform optimized Latin hypercube sampling on the single-variable sensitivity of all vehicle response indices to determine the interaction effect between each optimization factor.
[0012] Preferably, in step 4, the optimal solution is found through the Adams simulation terminal, which includes: a parameter acquisition module, a model building module, a parameterization module, an index response module, a sensitivity analysis module, and a calculation module.
[0013] The beneficial effects of this invention are: 1) It can effectively locate and adjust the reference parameters of the test sample, reduce the number of test sample sets, and improve the efficiency and accuracy of chassis performance verification.
[0014] 2) Virtual simulations can be carried out during the conceptual design phase using the vehicle dynamics model, which can verify the impact of chassis parameters (such as suspension stiffness, damping, and steering ratio) on performance in advance, and significantly reduce the number of prototype trials.
[0015] 3) The front and rear spring stiffness coefficients and the front and rear shock absorber damping coefficients are 0.8-1.2, which can optimize the suspension dynamic response, suppress abnormal body movement, and at the same time take into account the smoothness and handling stability, adapt to the needs of multiple driving scenarios, reduce suspension system wear, and improve component durability. Detailed Implementation
[0016] The technical solutions in the embodiments of the present invention have been clearly and completely described. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0017] In the description of this invention, it should be understood that the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicating orientation or positional relationships are only for the convenience of describing this invention, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.
[0018] A method for evaluating chassis performance includes the following steps: Step 1: Obtain vehicle parameters; Step 2: Establish a vehicle dynamics model based on the vehicle parameters; Step 3: Parameterize the vehicle dynamics model and select optimization factors; Step 4: Based on the vehicle dynamics model and factors, use parametric testing methods to analyze the optimal solution of the response of the six indicators.
[0019] The vehicle parameters in step 1 include: hard point coordinates, mass of each component, moment of inertia, suspension bushing stiffness, front and rear spring stiffness, front and rear shock absorber damping, front and rear stabilizer bar stiffness, and steering subsystem transmission ratio. The optimization factors in step 3 include front and rear spring stiffness, front and rear shock absorber damping, and front and rear stabilizer bar diameter.
[0020] The six indicators in step 4 include understeer, roll gradient, yaw rate response peak time, yaw rate overshoot, yaw rate gain, and peak vertical acceleration at the driver's position. Step 3 is implemented by integrating the Isight software with the multibody dynamics software Adams Car.
[0021] The front and rear spring stiffness coefficients and the front and rear shock absorber damping coefficients are 0.8-1.2. The front and rear shock absorbers are dual-channel shock absorbers. In step 1, a parametric test method is used to perform sensitivity analysis on the vehicle response index, determine the single variable sensitivity of the optimization factor corresponding to each vehicle response index, and perform optimized Latin hypercube sampling on the single variable sensitivity of all vehicle response indices to determine the interaction effect between each optimization factor.
[0022] In step 4, the optimal solution is found through the Adams simulation terminal, which includes: a parameter acquisition module, a model building module, a parameterization module, an index response module, a sensitivity analysis module, and a calculation module.
[0023] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.
Claims
1. A method for evaluating chassis performance, characterized in that, Includes the following steps: Step 1: Obtain vehicle parameters; Step 2: Establish a vehicle dynamics model based on the vehicle parameters; Step 3: Parameterize the vehicle dynamics model and select optimization factors; Step 4: Based on the vehicle dynamics model and factors, use parametric testing methods to analyze the optimal solution of the response of the six indicators.
2. The chassis performance evaluation method according to claim 1, characterized in that, The vehicle parameters in step 1 include: hard point coordinates, mass of each component, moment of inertia, suspension bushing stiffness, front and rear spring stiffness, front and rear shock absorber damping, front and rear stabilizer bar stiffness, and steering subsystem transmission ratio.
3. The chassis performance evaluation method according to claim 1, characterized in that, The optimization factors in step 3 include the front and rear spring stiffness, the front and rear shock absorber damping, and the front and rear stabilizer bar diameters.
4. The chassis performance evaluation method according to claim 1, characterized in that, The six indicators in step 4 include understeer, roll gradient, yaw rate response peak time, yaw rate overshoot, yaw rate gain, and peak vertical acceleration at the driver's position.
5. The chassis performance evaluation method according to claim 2, characterized in that, The stiffness coefficients of the front and rear springs and the damping coefficients of the front and rear shock absorbers are 0.8-1.
2.
6. The chassis performance evaluation method according to claim 1, characterized in that, In step 1, a parametric testing method is used to perform sensitivity analysis on the vehicle response index and determine the single-variable sensitivity of the optimization factor corresponding to each vehicle response index.
7. The chassis performance evaluation method according to claim 1, characterized in that, Step 3 is implemented by integrating the Isight software with the multibody dynamics software Adams Car.
8. The chassis performance evaluation method according to claim 1, characterized in that, In step 4, the optimal solution is found through the Adams simulation terminal, which includes: a parameter acquisition module, a model building module, a parameterization module, an index response module, a sensitivity analysis module, and a calculation module.
9. The chassis performance evaluation method according to claim 1, characterized in that, In step 1, a parametric experimental method is used to optimize the sensitivity of single variables of all vehicle response indicators by Latin hypercube sampling, and to determine the interaction effect between each optimization factor.
10. The chassis performance evaluation method according to claim 2, characterized in that, The front and rear shock absorbers are dual-channel shock absorbers.