Multi-objective optimization for ride comfort of hydro-pneumatic suspension vehicles with mechanical elastic wheel

Abstract

The new mechanical elastic wheel has the following advantages: non-pneumatic, anti-puncture, and explosion-proof. However, the larger radial stiffness is detrimental to vehicle ride comfort. To solve this problem, an integrated design method of hydro-pneumatic suspension matching mechanical elastic wheel is proposed in this paper. First, the nonlinear radial stiffness of mechanical elastic wheel is fitted by static loading experiment. Next, the mathematical model of hydro-pneumatic suspension is derived. Then, a half-car model, integrating hydro-pneumatic suspension and mechanical elastic wheel, is established. Finally, the top two optimization objectives, including vertical centroid acceleration root mean square and pitch acceleration root mean square, are optimized simultaneously, based on the Pareto multi-objective artificial fish swarm algorithm. The obtained results show that the optimization effect of multi-objective artificial fish swarm algorithm is obvious; the two optimization objectives have been optimized significantly. The proposed method that hydro-pneumatic suspension integrated with mechanical elastic wheel gains critical reference value for the design and optimization of vehicle chassis in theory and practice.