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.
Plug-in hybrid electric vehicle Fuzzy energy management strategy driving cycle modeling
WU Jian
Department of Information Science and Technology,Shandong University of Political Science and Law,Jinan Shandong,250014,China;Evidence Forensic laboratory in Colleges and universities of Shandong Province,Shandong University of Political Science and Law,Jinan Shandong,250014,China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
4472-4476
2014-07-28(万方平台首次上网日期,不代表论文的发表时间)