Vertical dynamics optimization of a light bus suspension system

In order to improve the ride comfort of a light bus, the performance matching research of the air spring and suspension system was carried out. The multi-body dynamics model of the whole vehicle was established, and the accuracy of the suspension simulation model was verified through the K & C bench tests of the front suspension and the theoretical calculation of the rear suspension. It is found the vertical acceleration at 20 km/h at the passenger position is too big when running on impulse roads. A co-simulation platform was built, and the parameters of the torsion bar spring and air spring were used as design variables, and the radial basis neural network and other neural network were used to establish the vertical acceleration surrogate model at the driver position and passenger position, and combining the multi-objective surrogate model with the genetic algorithm optimization, a suspension parameter optimization scheme was obtained. The results show that: when the optimized vehicle passes on impulse roads at 20 km/h and 30 km/h, the maximum vertical acceleration at the passenger position is reduced by 26. 46% and 24. 88% respectively; the RMS value of the vertical acceleration at the passenger position is reduced by 23. 72%, at the same time, the smoothness at the driver' s position remains basically unchanged, which significantly improves the smoothness of the entire vehicle. © 2023 Chinese Vibration Engineering Society. All rights reserved.