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Lumped Parameter Modeling of SAE J2601 Hydrogen Fueling Tests

Author

Listed:
  • Shanshan Deng

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle and Hubei Key Laboratory of Advanced Technology for Automotive Components, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Feng Li

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle and Hubei Key Laboratory of Advanced Technology for Automotive Components, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Hao Luo

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle and Hubei Key Laboratory of Advanced Technology for Automotive Components, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Tianqi Yang

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle and Hubei Key Laboratory of Advanced Technology for Automotive Components, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Feng Ye

    (School of Artificial Intelligence, Jianghan University, Wuhan 430056, China)

  • Richard Chahine

    (Hydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, Canada)

  • Jinsheng Xiao

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle and Hubei Key Laboratory of Advanced Technology for Automotive Components, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China
    Hydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G9A 5H7, Canada)

Abstract

The safety of hydrogen storage is essential for the development of fuel cell vehicles. A mathematical model for a compressed hydrogen storage tank is established based on the mass conservation equation, the energy conservation equation and the real gas equation of state. Using the Matlab/Simulink platform, a dual-zone lumped parameter model, which divides the tank into a hydrogen gas zone and a tank wall zone, is established. The initial conditions of the MC Default method hydrogen filling from SAE J2601 are utilized in the lumped parameter model for numerical simulation. Five cases are studied, including two different tanks. One case used the Lookup table for hydrogen refueling, and four cases used the MC Default method for fueling. The hydrogen gas temperature, wall temperature, pressure in the tank and state of charge are obtained during the fueling process. The simulated results show that the dual-zone lumped parameter model can well predict the temperature, pressure and state of charge (SOC) for Type IV tanks with volumes of 249 L and 117 L during refueling. By using the averaged heat transfer coefficient (80 W/(m 2 ·K)) between gas and wall, and the constant heat transfer coefficient (20 W/(m 2 ·K)) between wall and environment, the gas temperature and pressure of our dual-zone lumped parameter model show good agreement with the experiment. The maximum difference between simulated and experimental wall temperatures for five cases is around 2 °C. The experimental wall temperatures were measured on the external surface of the tank, while the simulated wall temperature of the dual-zone lumped parameter model is representative of a mean temperature averaged alone with the radial direction.

Suggested Citation

  • Shanshan Deng & Feng Li & Hao Luo & Tianqi Yang & Feng Ye & Richard Chahine & Jinsheng Xiao, 2023. "Lumped Parameter Modeling of SAE J2601 Hydrogen Fueling Tests," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1448-:d:1033270
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    References listed on IDEAS

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    1. M. J. Benton & M. A. Wills & R. Hitchin, 2000. "Quality of the fossil record through time," Nature, Nature, vol. 403(6769), pages 534-537, February.
    2. Hoel, Michael & Kverndokk, Snorre, 1996. "Depletion of fossil fuels and the impacts of global warming," Resource and Energy Economics, Elsevier, vol. 18(2), pages 115-136, June.
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    Cited by:

    1. Tahir, Mustafa & Hu, Sideng & Khan, Tahir & Zhu, Haoqi, 2024. "Multi-energy station design for future electric vehicles: A synergistic approach starting from scratch," Applied Energy, Elsevier, vol. 372(C).
    2. Matteo Genovese & Viviana Cigolotti & Elio Jannelli & Petronilla Fragiacomo, 2023. "Hydrogen Refueling Process: Theory, Modeling, and In-Force Applications," Energies, MDPI, vol. 16(6), pages 1-31, March.
    3. Melideo, Daniele & Desideri, Umberto & Andreas, Jan & Kalisch, Thilo, 2025. "Zero-Dimensional modeling and optimization of hydrogen refueling for type IV tanks: from validation to large-scale applications," Energy, Elsevier, vol. 332(C).

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