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Multi-Stack Lifetime Improvement through Adapted Power Electronic Architecture in a Fuel Cell Hybrid System

Author

Listed:
  • Milad Bahrami

    (University of Lorraine, CNRS, LEMTA, 54000 Nancy, France)

  • Jean-Philippe Martin

    (University of Lorraine, CNRS, LEMTA, 54000 Nancy, France)

  • Gaël Maranzana

    (University of Lorraine, CNRS, LEMTA, 54000 Nancy, France)

  • Serge Pierfederici

    (University of Lorraine, CNRS, LEMTA, 54000 Nancy, France)

  • Mathieu Weber

    (University of Lorraine, CNRS, LEMTA, 54000 Nancy, France)

  • Farid Meibody-Tabar

    (University of Lorraine, CNRS, LEMTA, 54000 Nancy, France)

  • Majid Zandi

    (Renewable Energies Engineering Department, Shahid Beheshti University, Tehran 1983969411, Iran)

Abstract

To deal with the intermittency of renewable energy resources, hydrogen as an energy carrier is a good solution. The Polymer Electrolyte Membrane Fuel Cell (PEMFC) as a device that can directly convert hydrogen energy to electricity is an important part of this solution. However, durability and cost are two hurdles that must be overcome to enable the mass deployment of the technology. In this paper, a management system is proposed for the fuel cells that can cope with the durability issue by a suitable distribution of electrical power between cell groups. The proposed power electronics architecture is studied in this paper. A dynamical average model is developed for the proposed system. The validation of the model is verified by simulation and experimental results. Then, this model is used to prove the stability and robustness of the control method. Finally, the energy management system is assessed experimentally in three different conditions. The experimental results validate the effectiveness of the proposed topology for developing a management system with which the instability of cells can be confronted. The experimental results verify that the system can supply the load profile even during the degradation mode of one stack and while trying to cure it.

Suggested Citation

  • Milad Bahrami & Jean-Philippe Martin & Gaël Maranzana & Serge Pierfederici & Mathieu Weber & Farid Meibody-Tabar & Majid Zandi, 2020. "Multi-Stack Lifetime Improvement through Adapted Power Electronic Architecture in a Fuel Cell Hybrid System," Mathematics, MDPI, vol. 8(5), pages 1-28, May.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:5:p:739-:d:355041
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    References listed on IDEAS

    as
    1. Zandi, M. & Bahrami, M. & Eslami, S. & Gavagsaz-Ghoachani, R. & Payman, A. & Phattanasak, M. & Nahid-Mobarakeh, B. & Pierfederici, S., 2017. "Evaluation and comparison of economic policies to increase distributed generation capacity in the Iranian household consumption sector using photovoltaic systems and RETScreen software," Renewable Energy, Elsevier, vol. 107(C), pages 215-222.
    2. Sulaiman, N. & Hannan, M.A. & Mohamed, A. & Ker, P.J. & Majlan, E.H. & Wan Daud, W.R., 2018. "Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations," Applied Energy, Elsevier, vol. 228(C), pages 2061-2079.
    3. Li, Tianyu & Liu, Huiying & Ding, Daolin, 2018. "Predictive energy management of fuel cell supercapacitor hybrid construction equipment," Energy, Elsevier, vol. 149(C), pages 718-729.
    4. Bahrami, Milad & Gavagsaz-Ghoachani, Roghayeh & Zandi, Majid & Phattanasak, Matheepot & Maranzanaa, Gaël & Nahid-Mobarakeh, Babak & Pierfederici, Serge & Meibody-Tabar, Farid, 2019. "Hybrid maximum power point tracking algorithm with improved dynamic performance," Renewable Energy, Elsevier, vol. 130(C), pages 982-991.
    5. Gavagsaz-Ghoachani, R. & Phattanasak, M. & Martin, J.-P. & Pierfederici, S. & Davat, B., 2013. "Predicting the onset of bifurcation and stability study of a hybrid current controller for a boost converter," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 262-273.
    6. Zhang, Hongtao & Li, Xianguo & Liu, Xinzhi & Yan, Jinyue, 2019. "Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management," Applied Energy, Elsevier, vol. 241(C), pages 483-490.
    7. Arunkumari, T. & Indragandhi, V., 2017. "An overview of high voltage conversion ratio DC-DC converter configurations used in DC micro-grid architectures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 670-687.
    8. Wang, Junye, 2017. "System integration, durability and reliability of fuel cells: Challenges and solutions," Applied Energy, Elsevier, vol. 189(C), pages 460-479.
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    Cited by:

    1. Bahrami, Milad & Martin, Jean-Philippe & Maranzana, Gaël & Pierfederici, Serge & Weber, Mathieu & Didierjean, Sophie, 2022. "Fuel cell management system: An approach to increase its durability," Applied Energy, Elsevier, vol. 306(PB).
    2. Duan, Hao & Zhang, Caizhi & Wang, Gucheng & Chen, Yu'an & Liu, Zhixiang & Xie, Xianshu & Shuai, Qi, 2022. "Experimental study of the dynamic and transient characteristics of sub-health fuel cell multi-stack systems without DC/DC," Energy, Elsevier, vol. 238(PC).
    3. Bizon, Nicu & Pierfederici, Serge & Bahrami, Milad & Thounthong, Phatiphat, 2022. "Power equalizer for a series fuel cell architecture based on load tracking control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).

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