Abstract: Based on the analysis of the control strategy of extended range electric vehicle,an energy management strategy based on adaptive neuro-fuzzy inference system for multi operating point of extended range electric vehicle is proposed.This strategy combines the advantages of neural network and fuzzy logic system,and uses the neural network to optimize the fuzzy logic system to establish the fuzzy neural network model that allocate the energy of the multi power source reasonably.After vehicle test based on this strategy in the drum dynamometer bench and verification,the control strategy is helpful to save development time,can effectively control the energy allocation of the vehicle,the work point of extended range divice constrained in the high efficiency area,and improve the vehicle economy significantly.

Key words: extended range electric vehicle, neuro-fuzzy interence, multi operating point, Energy Management Strategy(EMS), experimental analysis