Energy Management System Optimal Strategy for Pure Electric Vehicle Based on the Dynamic Programming

被引:2
作者
Dong Bing [1 ]
Tian Yantao [1 ]
Zhou Changjiu [1 ]
机构
[1] Jilin Univ Changchun, Coll Commun Engn, Changchun, Jilin Province, Peoples R China
来源
MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷
关键词
Pure electric vehicle; Energy management system; Dynamic programming;
D O I
10.4028/www.scientific.net/AMM.556-562.1472
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This thesis puts forward one optimal adaptive fuzzy control method based on the pure electric vehicle energy management system of the fuzzy control which has been founded already. By adding an optimizing researching model based on the conventional fuzzy control strategy, the thesis can pick up the valuable control rules based on the dynamic programming theory and also can adjust the parameter of the fuzzy controller automatically according to the system operating. These can make the sum of the energy loss reduce to the min. The experiment points out that this method makes the vehicle possess good economic performance in the same driving cycle.
引用
收藏
页码:1472 / 1475
页数:4
相关论文
共 4 条
  • [1] GU Zhongli, 2006, T BEIJING I TECHNOLO
  • [2] Assessing the potential of predictive control for hybrid vehicle powertrains using stochastic dynamic programming
    Johannesson, Lars
    Asbogard, Mattias
    Egardt, Bo
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2007, 8 (01) : 71 - 83
  • [3] Power and life enhancement of battery-electrical double layer capacitor for hybrid electric and charge-depleting plug-in vehicle applications
    Omar, Noshin
    Van Mierlo, Joeri
    Verbrugge, Bavo
    Van den Bossche, Peter
    [J]. ELECTROCHIMICA ACTA, 2010, 55 (25) : 7524 - 7531
  • [4] Zou Yuan, 2012, Journal of Mechanical Engineering, V48, P91, DOI 10.3901/JME.2012.14.091