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Energy Management Strategy of Plug-in Hybrid Electric Vehicles Considering the Temperature Effect of Power Battery

被引：3
|
作者：
Li, Huixin [1 ]
Cui, Naxin [1 ]
Wang, Chunyu [1 ]
Du, Yi [1 ]
机构：
[1] Shandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China
来源：
2019 3RD CONFERENCE ON VEHICLE CONTROL AND INTELLIGENCE (CVCI) | 2019年
基金：
中国国家自然科学基金;
关键词：
plug-in hybrid electric vehicle; model predictive control; energy management; temperature effect; MODEL-PREDICTIVE CONTROL;
D O I：
10.1109/cvci47823.2019.8951696
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Power battery is the main power source of plug-in hybrid electric vehicles (PHEV), and the temperature change directly affects its safety and service life. Firstly, the temperature effect on the characteristics of batteries is analyzed, which reveals that the internal resistance of batteries varies greatly at different temperatures. On the basis, the thermal model of batteries is constructed. Furthermore, the energy management strategy based on model predictive control (MPC) is designed, and dynamic programming is used as receding horizon optimization. After that, three methods are used to restrict the temperature on the basis of MPC. Finally, the engine torque is obtained considering both fuel economy and battery temperature.
引用
收藏
页码：109 / 114
页数：6
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