Energy Management System Optimal Strategy for Pure Electric Vehicle Based on the Dynamic Programming
被引:2
作者:
Dong Bing
论文数: 0引用数: 0
h-index: 0
机构:
Jilin Univ Changchun, Coll Commun Engn, Changchun, Jilin Province, Peoples R ChinaJilin Univ Changchun, Coll Commun Engn, Changchun, Jilin Province, Peoples R China
Dong Bing
[1
]
Tian Yantao
论文数: 0引用数: 0
h-index: 0
机构:
Jilin Univ Changchun, Coll Commun Engn, Changchun, Jilin Province, Peoples R ChinaJilin Univ Changchun, Coll Commun Engn, Changchun, Jilin Province, Peoples R China
Tian Yantao
[1
]
Zhou Changjiu
论文数: 0引用数: 0
h-index: 0
机构:
Jilin Univ Changchun, Coll Commun Engn, Changchun, Jilin Province, Peoples R ChinaJilin Univ Changchun, Coll Commun Engn, Changchun, Jilin Province, Peoples R China
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.