Optimization of Control Strategy for Plug-in Hybrid Electric Vehicle Based on Differential Evolution Algorithm

被引：0
|
作者：
Zhang, Lipeng [1 ]
Lin, Cheng [1 ]
Niu, Xiang [1 ]
机构：
[1] Beijing Inst Technol, Sch Mech & Vehicular Engn, Beijing 100081, Peoples R China
来源：
2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7 | 2009年
关键词：
Plug-in hybrid electric vehicle; Control strategy; Differential evolution algorithm; Parameters optimization;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In order to improve fuel economy, reduce emission and maintain battery life, the simulation model and control strategy for plug-in hybrid electric vehicle were established by means of PSAT and MATLAB/SIMULINK. Based on differential evolution algorithm, the control parameters were global optimized. The simulation result shows that the optimized control parameters can obviously improve the vehicle economy. It not only proves the necessary of carrying out control parameters optimization, but also reflects the excellent ability of differential evolution algorithm to realize the global optimization.
引用
收藏
页码：3085 / 3089
页数：5
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