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Journal of Renewable and Sustainable Energy / Volume 4 / Issue 1 / REGULAR ARTICLES

J. Renewable Sustainable Energy 4, 013106 (2012); http://dx.doi.org/10.1063/1.3682057 (12 pages)

Power management strategy based on adaptive neuro-fuzzy inference system for fuel cell-battery hybrid vehicle

Qi Li1, Weirong Chen1, Shukui Liu2, Zhiyu You1, Shiyong Tao1, and Yankun Li1

1School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan Province, China
2Chengdu Electric Power Bureau, Chengdu 610021, Sichuan Province, China

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(Received 12 August 2011; accepted 16 December 2011; published online 3 February 2012)

A power management strategy based on an adaptive neuro-fuzzy inference system is proposed to enhance the fuel economy of fuel cell-battery hybrid vehicle and increase the mileage of continuation of journey. The model of hybrid vehicle for fuel cell-battery structure is developed by electric vehicle simulation software advisor. The simulation results demonstrate that the proposed strategy can satisfy the power requirement of four standard drive cycles and achieve the power distribution between fuel cell system and battery. The comprehensive comparisons with a power tracking control strategy which is widely adopted in advisor verify that the proposed strategy has better validity in terms of fuel economy in four standard drive cycles. Hence, the proposed strategy will take important effect for designing advanced power management system of hybrid vehicle.

© 2012 American Institute of Physics

Article Outline

  1. INTRODUCTION
  2. POWER MANAGEMENT STRATEGY FOR HYBRID VEHICLE
    1. Fuel cell/battery structure
    2. Power management strategy based on ANFIS
  3. MODELING OF HYBRID VEHICLE
    1. Principle of advisor
    2. Simulation parameters
  4. RESULTS AND DISCUSSION
  5. CONCLUSION

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KEYWORDS, PACS, and IPC

Keywords

battery powered vehicles, fuel cell vehicles, fuzzy neural nets, fuzzy reasoning, hybrid electric vehicles, power engineering computing, hybrid vehicle, power management, adaptive neuro-fuzzy inference system (ANFIS), ADVISOR

PACS

International Patent Classification (IPC)

  • B60L11/02

    Using engine-driven generators

  • B60L11/18

    Using power supplied from primary cells, secondary cells, or fuel cells

  • G06F15/18

    In which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines

  • G06N5/00

    Computer systems utilizing knowledge based models

  • H01M8/00

    Fuel cells; Manufacture thereof

ARTICLE DATA

Digital Object Identifier
http://dx.doi.org/10.1063/1.3682057

PUBLICATION DATA

ISSN

1941-7012 (online)

Publisher

$abstract.society.value is a Member of CrossRef American Institute of Physics

For access to fully linked references, you need to log in.
    L. Qi, C. Weirong, J. Junbo, C. Yew Thean, and H. Ming, J. Renewable Sustainable Energy 1, 1 (2009)JRSEBH000001000001013105000001.


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