Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2025, Vol. 16 ›› Issue (2): 217-225.DOI: 10.3969/j.issn.1674-8484.2025.02.004

• Automotive Safety • Previous Articles     Next Articles

Multi-objective torque distribution strategy for hub motor electric vehicles under emergency steering conditions

FAN Xiaobin(), PENG Jiaxing   

  1. Henan Polytechnic University, School of Mechanical and Power Engineering, Jiaozuo 454000, China
  • Received:2024-08-31 Revised:2024-09-24 Online:2025-04-30 Published:2025-04-22

Abstract:

A multi-objective optimization strategy based on the non-dominated sorting genetic algorithmⅡ (NSGA-Ⅱ) was developed to improve steering stability and occupant comfort in hub-motor electric vehicles under emergency steering conditions. The strategy adopted a direct yaw moment control method to design the optimized objective function for handling stability and occupant comfort, taking into account generalized force equation constraints such as longitudinal desired torque and additional yaw moment. The optimal torque solution was selected in the pareto front calculated by NSGA-Ⅱ according to the dynamic conditions of the vehicle. The results show that compared to the axle load ratio (ALR) and weighted least squares (WLS) strategies, for high-speed steering, the root-mean-square errors of the vehicle sideslip angle and the yaw rate of the optimization strategy with respect to the reference values are reduced by 37.45%, 52.08%, and 41.98%, 56.95%, respectively, and the amplitudes of its lateral acceleration and torque are also smaller. The effectiveness of the proposed strategy for torque distribution during emergency steering of hub-motor electric vehicles is demonstrated to improve the vehicle steering stability and occupant comfort.

Key words: hub-motor electric vehicles, non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ), torque distribution, handling stability, occupant comfort

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