Multi-objective Optimization of Differential Steering System of Electric Vehicle with Motorized Whee

• 作 者: 赵万忠 王春燕 段婷婷 叶嘉冀 周协
• 机 构: Department of Vehicle Engineering,Nanjing University of Aeronautics and Astronautics,State Key Labor
• 出 处: Transactions of Nanjing University of Aeronautics and Astron
• 发表日期: 2014年01期
• 关键词: steering freedom guarantee constraint constrained wheel objectives torque inerti

A differential steering system is presented for electric vehicle with motorized wheels and a dynamic model of three-freedom car is built.Based on these models,the quantitative expressions of the road feel,sensitivity,and operation stability of the steering are derived.Then,according to the features of multi-constrained optimization of multi-objective function,a multi-island genetic algorithm(MIGA)is designed.Taking the road feel and the sensitivity of the steering as optimization objectives and the operation stability of the steering as a constraint,the system parameters are optimized.The simulation results show that the system optimized with MIGA can improve the steering road feel,and guarantee the operation stability and steering sensibility.

A differential steering system is presented for electric vehicle with motorized wheels and a dynamic model of three-freedom car is built.Based on these models, the quantitative expressions of the road feel, sensitivity, and operation stability of the steering are derived. Then, according to the features of multi-constrained optimization of multi-objective function, a multi-island genetic algorithm (MIGA) is designed .aking the road feel and the sensitivity of the steering as optimization objectives and the operation stability of the steering as a constraint the system parameters are optimized. the simulation results show that the system optimized with MIGA can improve the steering road feel, and guarantee the operation stability and steering sensibility.