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Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells Including Reversible and Irreversible Losses

Received: 21 February 2022    Accepted: 9 March 2022    Published: 20 April 2022
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Abstract

Today the world is full of time-dependent phenomena in all fields: physics, chemistry, mechanics and many others. Time acts on the performance of any system whatever its nature is. Moreover, proton exchange membrane fuel cells are promising alternatives to conventional power sources due to their high energy density and zero gas emission. However, this technology is still not sufficiently mature to reach large-scale deployment due to its limited lifespan. To extend the lifespan, the “Prognosis and Health Management” discipline has been developed, which is considered to be efficient in improving the reliability, durability and maintainability of fuel cell systems. However, it involves a deep understanding of the reversible and irreversible degradation phenomena and their impacts on fuel cell performance. Based on this, this paper deals with analyses of reversible and irreversible degradation. The criticalities of these losses and their impacts on the fuel cell lifetime are underlined with a useful lifetime estimation based on an autoregressive moving average model. Indeed, to do so, three scenarios are studied. First, the remaining useful life is predicted by taking into account only reversible degradation, and this gives the minimum lifetime. Second, the real remaining useful life is estimated by taking into account both reversible and irreversible degradation. Finally, the maximum lifetime that can be reached is estimated by taking into account only irreversible degradation.

Published in International Journal of Energy and Power Engineering (Volume 11, Issue 2)
DOI 10.11648/j.ijepe.20221102.13
Page(s) 39-46
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Prognostics, Proton Exchange Membrane Fuel Cell, Reversible/Irreversible Degradation, Remaining Useful Life, Fuel Cell Ageing

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  • APA Style

    Abdelkader Detti, Elodie Pahon, Nadia Yousfi Steiner, Samir Jemei, Laurent Bouillaut, et al. (2022). Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells Including Reversible and Irreversible Losses. International Journal of Energy and Power Engineering, 11(2), 39-46. https://doi.org/10.11648/j.ijepe.20221102.13

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    ACS Style

    Abdelkader Detti; Elodie Pahon; Nadia Yousfi Steiner; Samir Jemei; Laurent Bouillaut, et al. Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells Including Reversible and Irreversible Losses. Int. J. Energy Power Eng. 2022, 11(2), 39-46. doi: 10.11648/j.ijepe.20221102.13

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    AMA Style

    Abdelkader Detti, Elodie Pahon, Nadia Yousfi Steiner, Samir Jemei, Laurent Bouillaut, et al. Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells Including Reversible and Irreversible Losses. Int J Energy Power Eng. 2022;11(2):39-46. doi: 10.11648/j.ijepe.20221102.13

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  • @article{10.11648/j.ijepe.20221102.13,
      author = {Abdelkader Detti and Elodie Pahon and Nadia Yousfi Steiner and Samir Jemei and Laurent Bouillaut and Allou Badara Same and Daniel Hissel},
      title = {Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells Including Reversible and Irreversible Losses},
      journal = {International Journal of Energy and Power Engineering},
      volume = {11},
      number = {2},
      pages = {39-46},
      doi = {10.11648/j.ijepe.20221102.13},
      url = {https://doi.org/10.11648/j.ijepe.20221102.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20221102.13},
      abstract = {Today the world is full of time-dependent phenomena in all fields: physics, chemistry, mechanics and many others. Time acts on the performance of any system whatever its nature is. Moreover, proton exchange membrane fuel cells are promising alternatives to conventional power sources due to their high energy density and zero gas emission. However, this technology is still not sufficiently mature to reach large-scale deployment due to its limited lifespan. To extend the lifespan, the “Prognosis and Health Management” discipline has been developed, which is considered to be efficient in improving the reliability, durability and maintainability of fuel cell systems. However, it involves a deep understanding of the reversible and irreversible degradation phenomena and their impacts on fuel cell performance. Based on this, this paper deals with analyses of reversible and irreversible degradation. The criticalities of these losses and their impacts on the fuel cell lifetime are underlined with a useful lifetime estimation based on an autoregressive moving average model. Indeed, to do so, three scenarios are studied. First, the remaining useful life is predicted by taking into account only reversible degradation, and this gives the minimum lifetime. Second, the real remaining useful life is estimated by taking into account both reversible and irreversible degradation. Finally, the maximum lifetime that can be reached is estimated by taking into account only irreversible degradation.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells Including Reversible and Irreversible Losses
    AU  - Abdelkader Detti
    AU  - Elodie Pahon
    AU  - Nadia Yousfi Steiner
    AU  - Samir Jemei
    AU  - Laurent Bouillaut
    AU  - Allou Badara Same
    AU  - Daniel Hissel
    Y1  - 2022/04/20
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijepe.20221102.13
    DO  - 10.11648/j.ijepe.20221102.13
    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
    JO  - International Journal of Energy and Power Engineering
    SP  - 39
    EP  - 46
    PB  - Science Publishing Group
    SN  - 2326-960X
    UR  - https://doi.org/10.11648/j.ijepe.20221102.13
    AB  - Today the world is full of time-dependent phenomena in all fields: physics, chemistry, mechanics and many others. Time acts on the performance of any system whatever its nature is. Moreover, proton exchange membrane fuel cells are promising alternatives to conventional power sources due to their high energy density and zero gas emission. However, this technology is still not sufficiently mature to reach large-scale deployment due to its limited lifespan. To extend the lifespan, the “Prognosis and Health Management” discipline has been developed, which is considered to be efficient in improving the reliability, durability and maintainability of fuel cell systems. However, it involves a deep understanding of the reversible and irreversible degradation phenomena and their impacts on fuel cell performance. Based on this, this paper deals with analyses of reversible and irreversible degradation. The criticalities of these losses and their impacts on the fuel cell lifetime are underlined with a useful lifetime estimation based on an autoregressive moving average model. Indeed, to do so, three scenarios are studied. First, the remaining useful life is predicted by taking into account only reversible degradation, and this gives the minimum lifetime. Second, the real remaining useful life is estimated by taking into account both reversible and irreversible degradation. Finally, the maximum lifetime that can be reached is estimated by taking into account only irreversible degradation.
    VL  - 11
    IS  - 2
    ER  - 

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Author Information
  • Franche-Comte Electronics Mechanics Thermal Science and Optics Sciences and Technologies, University of Bourgogne Franche-Comte, Belfort, France; Fuel Cell Laboratory, University of Bourgogne Franche-Comte, Belfort, France

  • Franche-Comte Electronics Mechanics Thermal Science and Optics Sciences and Technologies, University of Bourgogne Franche-Comte, Belfort, France; Fuel Cell Laboratory, University of Bourgogne Franche-Comte, Belfort, France

  • Franche-Comte Electronics Mechanics Thermal Science and Optics Sciences and Technologies, University of Bourgogne Franche-Comte, Belfort, France; Fuel Cell Laboratory, University of Bourgogne Franche-Comte, Belfort, France

  • Franche-Comte Electronics Mechanics Thermal Science and Optics Sciences and Technologies, University of Bourgogne Franche-Comte, Belfort, France; Fuel Cell Laboratory, University of Bourgogne Franche-Comte, Belfort, France

  • Engineering of Surface Transportation Networks and Advanced Computing Laboratory, University Gustave Eiffel, Marne-la-Vallée, France

  • Engineering of Surface Transportation Networks and Advanced Computing Laboratory, University Gustave Eiffel, Marne-la-Vallée, France

  • Franche-Comte Electronics Mechanics Thermal Science and Optics Sciences and Technologies, University of Bourgogne Franche-Comte, Belfort, France; Fuel Cell Laboratory, University of Bourgogne Franche-Comte, Belfort, France

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