Fuzzy Energy Management Strategy for Battery Electric Vehicles Considering Driving Style Recognition
摘要
With the rapid development of electric vehicle, the energy utilization efficiency of battery electric vehicle (BEV) becomes particularly important in real applications. This paper presents a fuzzy energy management strategy that uses a BP neural network to identify the type of driving conditions, and designs a specific fuzzy controller to calculate the torque percentage values of the motor controller output under different driving styles. Finally, the results show that the proposed method is verified and has higher energy efficiency than the one that does not consider driving style and fuzzy control method.