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作者:

Liu, Xudong (Liu, Xudong.) | Fan, Qingwu (Fan, Qingwu.) | Zheng, Kun (Zheng, Kun.) (学者:郑坤) | Duan, Jianmin (Duan, Jianmin.) (学者:段建民) | Wang, Yu (Wang, Yu.)

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摘要:

The efficiency improvement of Hybrid Electric Vehicle (HEV) is strongly dependent on the system-level control of the power flow in both the mechanical and the electrical paths of the vehicle. This is realized by the HEV control strategy. In this paper, a control strategy is proposed for a medium sized Series Hybrid Electric Vehicle (SHEV) designed for campus and gymnasium. The control strategy is composed of two parts: constant SOC control and driving range optimization. In constant SOC control, fuzzy logic is used to regulate the power flow and maintain the SOC of batteries always at a high level. Fuel economy and emissions are also considered by the controller. Both off-line and real-time simulations are performed and the results verify the design idea. In driving range optimization, Ant Colony Algorithm (ACA) is used to find the appropriate power sequence of Auxiliary Power Unit (APU). By comparing to thermostat control strategy, with the same fuel consumption the vehicle after optimization may have longer driving range. ©2010 IEEE.

关键词:

Ant colony optimization Auxiliary power systems Charging (batteries) Computer circuits Electric load flow Electric power system control Fuel economy Fuzzy logic Hybrid vehicles

作者机构:

  • [ 1 ] [Liu, Xudong]Pilot College, Beijing University of Technology, Beijing, 101101, China
  • [ 2 ] [Fan, Qingwu]Pilot College, Beijing University of Technology, Beijing, 101101, China
  • [ 3 ] [Zheng, Kun]Pilot College, Beijing University of Technology, Beijing, 101101, China
  • [ 4 ] [Duan, Jianmin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Wang, Yu]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China

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年份: 2010

页码: 1603-1608

语种: 英文

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SCOPUS被引频次: 11

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