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Author:

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

Indexed by:

CPCI-S EI Scopus

Abstract:

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.

Keyword:

optimal sizing genetic algorithm optimization hybrid electric vehicle

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

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

Year: 2007

Page: 1125-1129

Language: English

Cited Count:

WoS CC Cited Count: 18

SCOPUS Cited Count: 32

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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