Energy management strategies for parallel hybrid vehicles using fuzzy logic

被引:166
作者
Schouten, NJ
Salman, MA
Kheir, NA
机构
[1] Oakland Univ, Sch Engn & Comp Sci, Dept Elect & Syst Engn, Rochester, MI 48309 USA
[2] GM Corp, Ctr Res & Dev, Warren, MI 48090 USA
关键词
hybrid vehicles; energy management systems; fuzzy control; optimal power flow; automotive control;
D O I
10.1016/S0967-0661(02)00072-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a fuzzy-logic-based energy management and power control strategy for parallel hybrid vehicles (PHV). The main objective is to optimize the fuel economy of the PHV, by optimizing the operational efficiency of all its components. The controller optimizes the power output of the electric motor/generator and the internal combustion. engine by using vehicle speed, driver commands from accelerator and braking pedals, state of charge (SOC) of the battery, and the-electric motor/generator speed. Separate controllers optimize braking and gear shifting. Simulation results show potential fuel economy improvement relative to other strategies that only maximize the efficiency of the combustion engine. (C) 2003 Published by Elsevier Science Ltd.
引用
收藏
页码:171 / 177
页数:7
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