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作者:

Liu, Xudong (Liu, Xudong.) | Wu, Yanping (Wu, Yanping.) | Duan, Jianmin (Duan, Jianmin.) (学者:段建民)

收录:

CPCI-S EI Scopus

摘要:

Hybrid electric vehicle is considered as the most promising solution to energy crisis and urban air pollution. However, as it has at least two sets of propulsion systems, its configuration is complex. To get better fuel economy and vehicle performance, the design and sizing of its powertrain components are important. In this paper, an HEV optimal sizing method combining optimization algorithm and HEV simulation tool is introduced, and then a real-coded, adaptive based hybrid genetic algorithm is developed and applied to the optimal sizing of a series hybrid electric vehicle. ADVISOR2002 is used as the vehicle simulator. The results have proved the validity of the optimal sizing methodology and the efficiency of the hybrid genetic algorithm. Based on the results, some improvements are proposed on the vehicle studied.

关键词:

optimal sizing genetic algorithm optimization hybrid electric vehicle

作者机构:

  • [ 1 ] [Liu, Xudong]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 2 ] [Wu, Yanping]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
  • [ 3 ] [Duan, Jianmin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China

通讯作者信息:

  • [Liu, Xudong]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China

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来源 :

2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6

年份: 2007

页码: 1125-1129

语种: 英文

被引次数:

WoS核心集被引频次: 17

SCOPUS被引频次: 32

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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