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

被引：0
作者：
Chen, Wei [1 ,3 ]
Zhang, Yunqing [1 ,4 ]
Liang, Yuan [1 ,5 ]
Chen, Liping [1 ,6 ]
Yang, Jingzhou [2 ,7 ]
机构：
[1] Center for Computer Aided Design, Huazhong University of Science and Technology, Wuhan, Hubei
[2] Department of Mechanical Engineering, Texas Tech. University, Lubbock
[3] Center for Computer Aided Design (CCAD), University of Science and Technology
[4] Center for CCAD, Huazhong University of Science and Technology
[5] Department of Mechanical Engineering, Texas Tech. University
来源：
| 2008年 / Inderscience Publishers, Switzerland卷 / 06期
关键词：
FLC; Fuzzy logic control; Membership function; Multi-objective optimisation; PHEV; Simulation;
D O I：
10.1504/ijvas.2008.023579
中图分类号：
学科分类号：
摘要：
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. Copyright © 2008 Inderscience Enterprises Ltd.
引用
收藏
页码：236 / 250
页数：14
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