Title: Multi-objective optimisation of parallel hybrid electric vehicles based on fuzzy logic control

Authors: Wei Chen, Yunqing Zhang, Yuan Liang, Liping Chen, Jingzhou (James) Yang

Addresses: Center for Computer Aided Design, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China. ' Center for Computer Aided Design, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China. ' Center for Computer Aided Design, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China. ' Center for Computer Aided Design, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China. ' Department of Mechanical Engineering, Texas Tech University, Lubbock, TX 79409, USA

Abstract: The design of HEV control strategy is difficult owing to the large amount of inter-related design parameters and conflicting design objectives. This paper implements a Fuzzy Logic Controller to manage the energy distribution for a Parallel Hybrid Electric Vehicle (PHEV). In order to improve the performance of a PHEV, a multi-objective optimisation evolutionary algorithm is then applied to optimise the fuzzy membership function automatically according to known fuzzy control rules. In addition, Design of Experiment (DOE) technology is implemented to enhance the optimisation process. Simulation results reveal that the proposed multi-objective optimisation method can effectively improve FLC. Also offers sufficiently diverse solutions for the designer.

Keywords: PHEV; parallel HEVs; hybrid electric vehicles; FLC; fuzzy logic controllers; membership functions; multi-objective optimisation; simulation; fuzzy control; design of experiments; DOE.

DOI: 10.1504/IJVAS.2008.023579

International Journal of Vehicle Autonomous Systems, 2008 Vol.6 No.3/4, pp.236 - 250

Published online: 02 Mar 2009 *

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