The research of energy management strategy for HEV

被引:0
作者
Wang, Yeqin [1 ]
Chen, Yuyan [1 ,2 ]
Chen, Jichu [1 ]
机构
[1] Huaiyin Inst Technol, Fac Automat, Huaian, Peoples R China
[2] Nanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing, Jiangsu, Peoples R China
来源
2018 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT GREEN BUILDING AND SMART GRID (IGBSG 2018) | 2018年
基金
中国国家自然科学基金;
关键词
hybrid electric vehicle (HEV); energy management strategy; Pontryagin's Minimum Principle (PMP); working conditions identification; driving intention forecast; HYBRID ELECTRIC VEHICLES; POWER MANAGEMENT; FUZZY-LOGIC; DESIGN; OPTIMIZATION; SYSTEM;
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
The driving performance and fuel economy of hybrid electric vehicle(HEV) largely depend on energy management strategy. The principle of power system energy management for HEV is presented in this paper, and energy management strategies from the country and the abroad are reviewed, their advantages and disadvantages are also analyzed. The paper concludes the existing problems of those strategies, and looks forward to the development trends of energy management strategy Aiming at the problem of the misbalance in practical and global optimization using traditional energy management strategies, a new energy management strategy for HEV based on Pontryagin's Minimum Principle (PMP) is developed, which research the intent of the driver and the operation state identification of HEV based on Markov theory, in full consideration of the people-vehicle-road influence on power management control system, and finally, the problem of global optimum in energy management in case of variation of real operating conditions is solved.
引用
收藏
页数:5
相关论文
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