Energy Management of Plug-in Hybrid Electric Vehicle Based on Fuzzy Logic Control

被引：0
|
作者：
Yao, Fuxing [1 ]
机构：
[1] Politecn Torino, Dept Mech & Aerosp Engn, I-10129 Turin, Italy
来源：
4TH INTERNATIONAL CONFERENCE ON VEHICLE, MECHANICAL AND ELECTRICAL ENGINEERING (ICVMEE 2017) | 2017年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to optimize the energy distribution of plug-in hybrid electric vehicle (PHEV) and improve the fuel economy and discharge performance of PHEV, a double fuzzy controller composed of two sets of input variables which are accelerator opening and change rate, torque requirement and state of charge (SOC) is designed. Particle swarm optimization algorithm is used to optimize the fuzzy control strategy to obtain the global optimal. The simulation results show that the energy management strategy with optimized fuzzy logic control can effectively reduce the fuel consumption and exhaust emissions.
引用
收藏
页码：182 / 190
页数：9
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