Fuzzy energy management strategy for plug-in hev based on driving cycle modeling

The fuzzy energy management strategy for a plug-in hybrid electric vehicle (PHEV) is proposed by modeling of driving cycle and optimization of fuzzy controller. Firstly, the driving cycle model is constructed with BP neural network based on the driving data of Shandong university school bus. Then the membership functions and rules of fuzzy torque distribution controller are optimized by using particle swarm optimization in accordance with the driving cycle model. The test results from the ADVISOR platform show that compared with the un-optimized strategies, the fuzzy energy management strategy based on the driving cycle modeling can lower the cost of driving effectively.