轻型客车悬架系统垂向动力学优化研究

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Abstract In order to improve the ride comfort of a light bus, the matching research of air spring performance and suspension system was carried out. The multi-body dynamics model of the whole vehicle is established, and the accuracy of the suspension simulation model is verified through the K&C bench test of the front suspension and the theoretical calculation of the rear suspension. is too big. A co-simulation platform is built, and the parameters of torsion bar spring and air spring are used as design variables, and radial basis neural network and neural network are used to establish the vertical acceleration surrogate model of driver position and passenger position, and the surrogate model is multi-objective combined with genetic algorithm Optimization, the suspension parameter optimization scheme is obtained. The results show that: when the optimized vehicle passes the impulse road at 20km/h and 30km/h, the maximum vertical acceleration of the passenger position is reduced by 26.46% and 24.88% respectively; The rms value of the vertical acceleration of the position is reduced by 23.72%. At the same time, the smoothness of the driver's position remains basically unchanged, which significantly improves the smoothness of the entire vehicle.

Key words： Air suspension ride comfort multi-objective optimization NSGA-II proxy model

Received: 21 April 2022 Published: 28 July 2023

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	Articles by authors
	ZHOU Tingrong1
	WANG Liangmo1
	WANG Tao1
	YUAN Liukai2

Cite this article:

ZHOU Tingrong1,WANG Liangmo1,WANG Tao1, et al. Vertical dynamics optimization of a light bus suspension system[J]. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(14): 131-137.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2023/V42/I14/131

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