Study on Global Optimization of Plug-In Hybrid Electric Vehicle Energy Management Strategies

被引：0

作者：

Yang, Chenghong ^{[1
]}

Li, Jun ^{[1
]}

Sun, Wei ^{[1
]}

Zhang, Bo ^{[1
]}

Gao, Ying ^{[1
]}

Yin, Xuefeng ^{[2
]}

机构：

[1] Jilin Univ, State Key Lab Automobile Dynam Simulat, Changchun 130025, Peoples R China

[2] Yantai Engn & Technol Coll, Yantai 264006, Peoples R China

来源：

2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2010年

基金：

国家高技术研究发展计划(863计划);

关键词：

plug-in hybrid electric vehicle; energy management strategy; dynamic programming; optimal design;

D O I：

暂无

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：

By using dynamic programming (DP) which is kind of global optimization algorithm, an energy management control strategy for a parallel plug-in hybrid electric vehicle (PHEV) on different charging depleting range (CDR) has been studied. The results show that Motor-Dominant control strategy should be applied to the PHEV when CDR is less than 55 km, and Engine-Dominant control strategy should be used when CDR is more than 55 km. With optimal control strategies from DP, the best economic performance can be obtained as CDR is 55 km; PHEV average equivalence fuel consumption could be reduced to 2.7L/100km which is 58% lower than that of prototype vehicle.

引用

页数：5

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