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A Game Theory Energy Management Strategy for a Fuel Cell/Battery Hybrid Energy Storage System

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  • Qiao Zhang
  • Gang Li

Abstract

This paper introduces a game theory approach to implement power flow distribution mission for a fuel cell/battery hybrid system considering uncertain power information. To fully describe the vying interaction relationship between the fuel cell and the battery, we design the power distribution problem as a noncooperative game problem, in which the fuel cell and the battery are deemed to be two interactional players, and each one chooses proper amount of power supply to maximize its own optimization function relying on the other chosen. Different from all previous research work in the published papers, the power demand information of the adopted driving cycle is assumed to be absolutely known. In this paper, we discuss the case that when the power demand is uncertain how the players act and the Nash Equilibrium can be effectively achieved. Three original contributions are made. First, we develop the utility function for each player taking into account the uncertain behavior of the power demand due to inaccurate prediction of driving cycle. Second, an iterative algorithm with a fuzzy logical controller for correction is proposed to reduce the influence of uncertain power demand information on the decisions of the players. Finally, the effectiveness is validated by a comparison simulation test.

Suggested Citation

  • Qiao Zhang & Gang Li, 2019. "A Game Theory Energy Management Strategy for a Fuel Cell/Battery Hybrid Energy Storage System," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-12, January.
  • Handle: RePEc:hin:jnlmpe:7860214
    DOI: 10.1155/2019/7860214
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    Cited by:

    1. Song, Zhen & Pan, Yue & Chen, Huicui & Zhang, Tong, 2021. "Effects of temperature on the performance of fuel cell hybrid electric vehicles: A review," Applied Energy, Elsevier, vol. 302(C).
    2. Yang Gao & Changhong Liu & Yuan Liang & Sadegh Kouhestani Hamed & Fuwei Wang & Bo Bi, 2022. "Minimizing Energy Consumption and Powertrain Cost of Fuel Cell Hybrid Vehicles with Consideration of Different Driving Cycles and SOC Ranges," Energies, MDPI, vol. 15(17), pages 1-12, August.
    3. Yanwei Liu & Mingda Wang & Jialuo Tan & Jie Ye & Jiansheng Liang, 2024. "Real-Time Energy Management Strategy for Fuel Cell Vehicles Based on DP and Rule Extraction," Energies, MDPI, vol. 17(14), pages 1-20, July.
    4. Ioan-Sorin Sorlei & Nicu Bizon & Phatiphat Thounthong & Mihai Varlam & Elena Carcadea & Mihai Culcer & Mariana Iliescu & Mircea Raceanu, 2021. "Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies," Energies, MDPI, vol. 14(1), pages 1-29, January.

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