Compensation Fuzzy Neural Network Power Management Strategy for Hybrid Electric Vehicle

Abstract:

A power control strategy of compensation fuzzy neural network (CFNN) is put forward based on the design requirement of a hybrid electric vehicle (HEV) of Shanghai Volkswagken company,the proposed algorithm speeds up the convergence rate by adjusting step dynamically.An analysis is made of the influence of sample data selecting,fuzzy sets for input and output and the determination of fuzzy rules.Based on the redevelopment of the ADVISOR2002,a comparison is conducted on the CFNN control strategy,the electricassisted control strategy and the fuzzy logic control strategy.The simulation results show that the CFNN controller is of good selfadaptive ability and helpful to fuel economy and emission.