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A Firefly Algorithm Optimization-Based Equivalent Consumption Minimization Strategy for Fuel Cell Hybrid Light Rail Vehicle

Author

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  • Han Zhang

    (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China
    School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China)

  • Jibin Yang

    (Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China
    Key Laboratory of Automobile Measurement and Control & Safety, School of Automobile & Transportation, Xihua University, Chengdu 610039, China)

  • Jiye Zhang

    (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China
    School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China)

  • Pengyun Song

    (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China
    College of Electrical and Information Engineering, Southwest Minzu University, Chengdu 610041, China)

  • Xiaohui Xu

    (Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China
    Key Laboratory of Automobile Measurement and Control & Safety, School of Automobile & Transportation, Xihua University, Chengdu 610039, China)

Abstract

To coordinate multiple power sources properly, this paper presents an optimal control strategy for a fuel cell/battery/supercapacitor light rail vehicle. The proposed strategy, which uses the firefly algorithm to optimize the equivalent consumption minimization strategy, improves the drawback that the conventional equivalent consumption minimization strategy takes insufficient account of the global performance for the vehicle. Moreover, the strategy considers the difference between the two sets of optimized variables. The optimization objective is to minimize the daily operating cost of the vehicle, which includes the total fuel consumption, initial investment, and cycling costs of power sources. The selected case study is a 100% low-floor light rail vehicle. The advantages of the proposed strategy are investigated by comparison with the operating mode control, firefly algorithm-based operating mode control, and equivalent consumption minimization strategy. In contrast to other methods, the proposed strategy shows cost reductions of up to 39.62% (from operating mode control), 18.28% (from firefly algorithm-based operating mode control), and 13.81% (from equivalent consumption minimization strategy). In addition, the proposed strategy can reduce fuel consumption and increase the efficiency of the fuel cell system.

Suggested Citation

  • Han Zhang & Jibin Yang & Jiye Zhang & Pengyun Song & Xiaohui Xu, 2019. "A Firefly Algorithm Optimization-Based Equivalent Consumption Minimization Strategy for Fuel Cell Hybrid Light Rail Vehicle," Energies, MDPI, vol. 12(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2665-:d:247581
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    References listed on IDEAS

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    Cited by:

    1. Michela Robba & Mansueto Rossi, 2021. "Optimal Control of Hybrid Systems and Renewable Energies," Energies, MDPI, vol. 15(1), pages 1-3, December.
    2. Francesco Piraino & Petronilla Fragiacomo, 2020. "Design of an Equivalent Consumption Minimization Strategy-Based Control in Relation to the Passenger Number for a Fuel Cell Tram Propulsion," Energies, MDPI, vol. 13(15), pages 1-16, August.
    3. Younes Zahraoui & Ibrahim Alhamrouni & Saad Mekhilef & M. Reyasudin Basir Khan & Mehdi Seyedmahmoudian & Alex Stojcevski & Ben Horan, 2021. "Energy Management System in Microgrids: A Comprehensive Review," Sustainability, MDPI, vol. 13(19), pages 1-33, September.

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