An Intelligent Energy Management Strategy of Hybrid Vehicles Based on Traffic Preview Information

被引：0
|
作者：
Zheng, Chunhua [1 ,2 ]
Xu, Guoqing [1 ,2 ]
Cha, Suk Won [3 ]
机构：
[1] Shenzhen Inst Adv Technol, Automot Elect Res Ctr, Shenzhen, Peoples R China
[2] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Hong Kong, Hong Kong, Peoples R China
[3] Seoul Natl Univ, Sch Mech & Aerosp Engn, Seoul, South Korea
来源：
2014 IEEE 79TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-SPRING) | 2014年
关键词：
energy management; hybrid vehicles; optimal control theory; traffic preview information; POWER MANAGEMENT;
D O I：
暂无
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：
Traffic preview information is helpful when constructing energy management strategies for hybrid vehicles. In this paper, an optimal control theory-based energy management strategy for fuel cell hybrid vehicles is proposed, which optimizes the vehicle's velocity profile when minimizing the fuel consumption based on the traffic preview information. The control problem is formulated and the proposed energy management strategy is applied to a fuel cell hybrid vehicle in a computer simulation environment. Simulation results show that the fuel economy is improved by the proposed energy management strategy compared to the case where the vehicle velocity is not optimized.
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页数：4
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