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Modelling of PEM Fuel Cell Performance: Steady-State and Dynamic Experimental Validation

Author

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  • Idoia San Martín

    (Department of Electrical and Electronic Engineering, Public University of Navarre, Campus de Arrosadía, 31006 Pamplona, Spain)

  • Alfredo Ursúa

    (Department of Electrical and Electronic Engineering, Public University of Navarre, Campus de Arrosadía, 31006 Pamplona, Spain)

  • Pablo Sanchis

    (Department of Electrical and Electronic Engineering, Public University of Navarre, Campus de Arrosadía, 31006 Pamplona, Spain)

Abstract

This paper reports on the modelling of a commercial 1.2 kW proton exchange membrane fuel cell (PEMFC), based on interrelated electrical and thermal models. The electrical model proposed is based on the integration of the thermodynamic and electrochemical phenomena taking place in the FC whilst the thermal model is established from the FC thermal energy balance. The combination of both models makes it possible to predict the FC voltage, based on the current demanded and the ambient temperature. Furthermore, an experimental characterization is conducted and the parameters for the models associated with the FC electrical and thermal performance are obtained. The models are implemented in Matlab Simulink and validated in a number of operating environments, for steady-state and dynamic modes alike. In turn, the FC models are validated in an actual microgrid operating environment, through the series connection of 4 PEMFC. The simulations of the models precisely and accurately reproduce the FC electrical and thermal performance.

Suggested Citation

  • Idoia San Martín & Alfredo Ursúa & Pablo Sanchis, 2014. "Modelling of PEM Fuel Cell Performance: Steady-State and Dynamic Experimental Validation," Energies, MDPI, vol. 7(2), pages 1-31, February.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:2:p:670-700:d:32818
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    Cited by:

    1. Jonny Esteban Villa Londono & Andrea Mazza & Enrico Pons & Harm Lok & Ettore Bompard, 2021. "Modelling and Control of a Grid-Connected RES-Hydrogen Hybrid Microgrid," Energies, MDPI, vol. 14(6), pages 1-25, March.
    2. Sutharssan, Thamo & Montalvao, Diogo & Chen, Yong Kang & Wang, Wen-Chung & Pisac, Claudia & Elemara, Hakim, 2017. "A review on prognostics and health monitoring of proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 440-450.
    3. Yasser Diab & Francois Auger & Emmanuel Schaeffer & Stéphane Chevalier & Adib Allahham, 2022. "Real-Time Estimation of PEMFC Parameters Using a Continuous-Discrete Extended Kalman Filter Derived from a Pseudo Two-Dimensional Model," Energies, MDPI, vol. 15(7), pages 1-23, March.
    4. Xuqu Hu & Xingyi Wang & Juanzhong Chen & Qinwen Yang & Dapeng Jin & Xiang Qiu, 2017. "Numerical Investigations of the Combined Effects of Flow Rate and Methanol Concentration on DMFC Performance," Energies, MDPI, vol. 10(8), pages 1-15, July.
    5. Macias, A. & Kandidayeni, M. & Boulon, L. & Trovão, J.P., 2021. "Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain," Energy, Elsevier, vol. 224(C).
    6. Chavan, Sudarshan L. & Talange, Dhananjay B., 2017. "Modeling and performance evaluation of PEM fuel cell by controlling its input parameters," Energy, Elsevier, vol. 138(C), pages 437-445.
    7. San Martín, Idoia & Berrueta, Alberto & Sanchis, Pablo & Ursúa, Alfredo, 2018. "Methodology for sizing stand-alone hybrid systems: A case study of a traffic control system," Energy, Elsevier, vol. 153(C), pages 870-881.
    8. Apostolou, Dimitrios, 2020. "Optimisation of a hydrogen production – storage – re-powering system participating in electricity and transportation markets. A case study for Denmark," Applied Energy, Elsevier, vol. 265(C).
    9. Geonhui Gwak & Minwoo Kim & Dohwan Kim & Muhammad Faizan & Kyeongmin Oh & Jaeseung Lee & Jaeyoo Choi & Nammin Lee & Kisung Lim & Hyunchul Ju, 2019. "Performance and Efficiency Analysis of an HT-PEMFC System with an Absorption Chiller for Tri-Generation Applications," Energies, MDPI, vol. 12(5), pages 1-21, March.
    10. Asensio, F.J. & San Martín, J.I. & Zamora, I. & Saldaña, G. & Oñederra, O., 2019. "Analysis of electrochemical and thermal models and modeling techniques for polymer electrolyte membrane fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    11. Jonas Breitinger & Mark Hellmann & Helerson Kemmer & Stephan Kabelac, 2023. "Automotive Fuel Cell Systems: Testing Highly Dynamic Scenarios," Energies, MDPI, vol. 16(2), pages 1-15, January.
    12. Andrzej Wilk & Daniel Węcel, 2020. "Measurements Based Analysis of the Proton Exchange Membrane Fuel Cell Operation in Transient State and Power of Own Needs," Energies, MDPI, vol. 13(2), pages 1-19, January.
    13. Devin Fowler & Vladimir Gurau & Daniel Cox, 2019. "Bridging the Gap between Automated Manufacturing of Fuel Cell Components and Robotic Assembly of Fuel Cell Stacks," Energies, MDPI, vol. 12(19), pages 1-14, September.
    14. Umap, Vrushali M. & Ugwekar, Rajendra P., 2020. "Performance analysis of gas diffusion electrode with varying platinum loading under different oxidant condition," Renewable Energy, Elsevier, vol. 155(C), pages 1339-1346.
    15. Ahmed M. Agwa & Attia A. El-Fergany & Gamal M. Sarhan, 2019. "Steady-State Modeling of Fuel Cells Based on Atom Search Optimizer," Energies, MDPI, vol. 12(10), pages 1-14, May.

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