Fuzzy Logic Control Approach to the Energy Management of Parallel Hybrid Electric Vehicles

被引:0
|
作者
Lu, Dengke [1 ,2 ]
Li, Weimin [1 ]
Xu, Guoqing [1 ,3 ,4 ]
Zhou, Meilan [2 ]
机构
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
[2] Harbin Univ Sci & Technol, Harbin 150080, Peoples R China
[3] Tongji Univ, Dept Elect Engn, Shanghai 200092, Peoples R China
[4] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Shatin, Hong Kong, Peoples R China
来源
PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION | 2012年
关键词
Parallel Hybrid Electric Vehicle (PHEV); State of charge (SOC); Energy Management Strategy (EMS);
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the author proposed an energy management strategy of the Parallel Hybrid Electric Vehicle (PHEV) was that based on the fuzzy logic control for torque distribution between motor and engine. The value D which is the difference value between the torque of the vehicle requirements Tr and the engine goal requires torque Te, and the battery state of charge (SOC) as two of the fuzzy controller input variables and the torque control coefficient C is the output variable of the fuzzy controller. With three different road conditions, simulated respectively between the rule-based of electric assist control strategy and the fuzzy logic control strategies by using the electric vehicle software ADVISOR. The result shows that the design of fuzzy logic energy management strategy can easily control the engine and motor, significantly increasing fuel economy performance and reduced exhaust emissions.
引用
收藏
页码:592 / 596
页数:5
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