Optimal Design Parameters of In-Wheel Motor Suspension System using Genetic Algorithm

Tran Duc Hoang, Nguyen Thi Hong Ngoc, Le Van Quynh, Nguyen Dinh Tan, The Minh Huong

electric vehicle, In Wheel Motor (IWM), IWM suspension system, optimal design parameters, ride comfort

The aim of this study is to propose an optimal design method for In Wheel Motor (IWM) suspension system of an electric vehicle (EV) so that the ride comfort can be improved. a 3-DOF quarter-vehicle dynamic model of an electric vehicle under two input excitation sources such as road surface roughness excitation and in-wheel motor excitation is established for the optimal design parameters of IWM suspension system using Genetic Algorithm (GA). The root-mean-square (RMS) acceleration of the vertical vehicle body according to the international standard ISO 2631-1 (1997) is selected as objective function. The study results indicate that the a_wb values of GA optimal parameters reduce significantly in comparison with those of the original parameters of IWM suspension system, which means that the performance optimization of IWM suspension system is better than the original IWM suspension system of electric vehicle in improving the ride comfort of electric vehicle.

https://doi.org/10.31871/WJRR.16.6.11