Abstract
In the optimization design of electric vehicle, the uncertainties in the assembly or manufacturing process rarely are taken into account, and the optimization results are lack of robustness. A robust design of electric vehicle is carried out considering the uncertain factors of the power battery system. Firstly, based on vehicle handling stability, three dynamics performance of electric vehicle, including vehicle lateral acceleration, vehicle yaw velocity and vehicle roll angle, are selected as the optimization objectives. The design variables include the structure size and position parameters of power battery system. Secondly, the adaptive simulated annealing algorithm and Taguchi method are used to optimize the power battery system of electric vehicle to improve the EV handling stability. Finally, the robust optimization results are verified applying the simulation model of electric vehicle. The results show that the electric vehicle based on the Taguchi method can effectively resist the impact of uncertainties of the power battery system.
Published Version
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