Paper
7 September 2022 Analysis and optimization design of K & C characteristics based on ADAMS
Genge Zhang, Yi Wei, Lin Wang
Author Affiliations +
Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123294A (2022) https://doi.org/10.1117/12.2646967
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China
Abstract
With the advancement of China's modernization, people not only pay attention to the power performance and economy of vehicles, but also pay more attention to the comfort and handling stability of vehicles.The comfort and handling stability of the car mainly depend on the chassis.Suspension system is one of the important components of the vehicle system, which directly affects the handling stability, ride comfort and safety.Therefore, it is necessary to study the optimization and conceence of automobile suspension parameters.This paper establishes the dynamic model of the heavy commercial vehicle suspension based on ADAMS, and analyzes the K & C characteristics of the suspension.The suspension model is also optimized.To optimize the control parameters and mechanical performance of the vehicle suspension and ride comfort of the vehicle has some significance to improve the vehicle comfort and control stability.
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Genge Zhang, Yi Wei, and Lin Wang "Analysis and optimization design of K & C characteristics based on ADAMS", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123294A (7 September 2022); https://doi.org/10.1117/12.2646967
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KEYWORDS
Optimization (mathematics)

Computer simulations

Analytical research

Performance modeling

Alternate lighting of surfaces

Control systems

Diffractive optical elements

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