Optimization for Five-link Suspension Hard-points Based on NSGA-Ⅱ Algorithm
The aim of this paper is to explore the hard point structure of five-link suspension and to use MATLAB to analyze the sensitivity of each hard point coordinate so as to identify the important factors in it,which are incorporated into the structural optimization design of the five-link suspension.Multi-objective optimization is carried out through NSGA-Ⅱ algorithm to give best kinematic performance of the suspension.After the optimization of each parameter in the parallel wheel hopping process,the changes of bump steer,camber gradient and lateral roll center height of the five-link suspension are able to reach the expected state,thus achieving the best performance.