Vertical dynamics optimization of a light bus suspension system

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (14) : 131-137.

ZHOU Tingrong1，WANG Liangmo1，WANG Tao1，YUAN Liukai2

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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

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ZHOU Tingrong1，WANG Liangmo1，WANG Tao1，YUAN Liukai2. Vertical dynamics optimization of a light bus suspension system[J]. Journal of Vibration and Shock, 2023, 42(14): 131-137

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