Genetic Algorithms based Optimal Energy Management Strategy for Four-wheel Independent Drive Electric Vehicles

نویسندگان

  • Xiaoshuai Xin
  • Jiajun Wu
  • Yisong Peng
چکیده

This paper focuses on the design of power management strategy for four-wheel independent drive electric vehicles (4WID EVs). Since the efficiency of the motor and inverter is different under different driving conditions, genetic algorithm based optimal energy management strategy is proposed to maximize the efficiency of motor drive systems. Not only the efficiency of motor, but also the efficiency of inverter is considered in the proposed strategy. Based on the knowledge of motor and inverter efficiency map, genetic algorithm based strategy can calculate proper torque of the four motor drive according to the total desired torque. The proposed energy management strategy is examined by ADVISOR with a number of predefined drive cycles. Energy efficiency of the proposed strategy is better than the evenly distributed torque control.

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تاریخ انتشار 2015