Experimental and Simulation Study on Vehicle Ride Comfort and Parameter Optimization

Junnan Chen,Jiqing Chen,Fengchong Lan, Jun Fang, Dexing Liu

Lecture Notes in Electrical EngineeringProceedings of the 19th Asia Pacific Automotive Engineering Conference & SAE-China Congress 2017: Selected Papers(2018)

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摘要
Ride comfort is one of the most important indexes to evaluate the comfort of automobile. But how to improve the ride comfort is the most challenging problem in practical engineering. Adding the three seat system to the two-degree-of-freedom system used as the calculation model of the target vehicle, the calculation formula of vibration response is deduced theoretically by using virtual excitation method and road surface excitation model. Through the test method, the total weighted acceleration root mean square value under different vehicle speed is taken as the index to evaluate the vehicle ride comfort. At the same time, the calculation model is simulated in MATLAB. The simulation results show that the calculation model has sufficient accuracy and can be used to optimize the parameters affecting vehicle ride comfort, such as quality parameters, shock absorber parameters, tires and seat parameters. Finally, a specific optimization design is put forward to improve the ride comfort of the car, considering the design requirements of suspension dynamic deflection and the practical engineering optimization experience.
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关键词
Car ride comfort, Virtual incentive method, Trial, MATLAB, Parameter optimization
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