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《Journal of Wuhan University of Technology(Information & Management Engineering)》 2008-04
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Fuzzy Logic-Based Energy Management Strategies for Hybrid Electric Vehicles

ZI Xinyun,DU Changqing,ZHANG Zengjian,YAN Fuwu:Prof.;Department of Automotion,Academy of Military Transportation,Tianjin 300161,China.  
Based on the operating modes of parallel hybrid powertrain and the attribute of engine and electric motor,a fuzzy logic-based control model was built by using the difference between the requested torque and optimal engine torque and the battery State-of-Charge(SOC) as inputs,and the proportion of output engine torque to optimal engine torque as the output.It works as the kernel of a fuzzy torque distribution controller determines the optimal torque distribution between the engine and the electric motor to optimize the overall energy conversion efficiency of the PHEV.The simulation results reveal that compared with the conventional strategy which uses precise threshold parameters,the proposed fuzzy logic-based control model improves fuel economy and maintains battery SOC within its steady operation range more effectively.
【Fund】: 天津市自然科学基金资助项目(023800911)
【CateGory Index】: U469.7
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