Parameter optimization of power control strategy for series hybrid electric vehicle

被引：0
|
作者：
Huang, Bufu [1 ]
Shi, Xi [1 ]
Xu, Yangsheng [1 ]
机构：
[1] Chinese Univ Hong Kong, Dept Automat & Comp Aided Engn, Shatin, Hong Kong, Peoples R China
来源：
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Aimed at the more and more serious problems of energy and pollution, Hybrid Electric Vehicle (HEV) is one of the best practical applications for transportation with high fuel economy and low emission. Since the power control strategy has a critical effect on the performance of HEV, genetic algorithm is introduced to optimize the strategy parameters for fuel economy and emissions in this paper. Compared with two main strategies, Thermostatic and DIRECT, the computation procedures of genetic algorithm are discussed, and simulation study based on the model of series hybrid electric vehicle is given to illustrate the optimization validity of the genetic algorithm.
引用
收藏
页码：1974 / +
页数：2
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