Energy management strategy of a plug-in parallel hybrid electric vehicle using fuzzy control

被引:35
|
作者
Ming, Lv [1 ]
Ying, Yang [1 ]
Liang, Lijie [1 ]
Yao, Lu [1 ]
Zhou, Wenyu [1 ]
机构
[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110819, Peoples R China
关键词
hybrid electric vehicle; rule-based; fuzzy control; energy management; OPTIMIZATION; ALGORITHM;
D O I
10.1016/j.egypro.2017.03.771
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Plug-in hybrid electric vehicle is an important measure to achieve energy saving and emission reduction. Energy management strategy is one of the most important parts in the research of PHEV, which has important influence on the performance of the whole vehicle. In this paper, a plug-in parallel hybrid electric vehicle is employed as the research object: firstly, a rule-based algorithm is established; then, an energy management strategy using fuzzy control is presented to improve the rule-based algorithm; finally, the proposed control strategies are simulated and verified under three typical driving cycles. The result shows that the proposed fuzzy control strategy can achieve a more smooth control effect to alleviate the decline rate of the battery State of Charge (SoC) and significant fuel consumption reduction could be achieved compared with the rule-based algorithm. Under certain driving conditions, fuzzy control strategy can achieve an extension of Charge Depleting (CD) phase by up to 4.45% and the reduction in energy loss can be up to 5.99%. (C) 2017 Published by Elsevier Ltd.
引用
收藏
页码:2660 / 2665
页数:6
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