Intelligent Energy Management Based on Driving Cycle Identification Using Fuzzy Neural Network

Abstract

Hybrid electric vehicles (HEV) is becoming the important develop tendency of the vehicle for its better fuel economy and emission. The parameters of HEV control strategy is always optimized on some one standardized driving cycle, but the different city have its own driving cycle. So the great advantage of HEV is limited. This paper proposes an intelligent management for parallel HEV based on driving cycle identification using fuzzy neural network. Fuzzy neural network is great in model identification. The intelligent energy management of HEV identifies the driving cycle and changes the parameters of the control strategy. The applicability of the proposed intelligent control system is confirmed by simulation examples. The simulation results show that the control strategy based on driving cycle identification using fuzzy neural network could further improve the fuel consumption and reduce emissions.