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DOI: 10.14569/IJACSA.2017.080845
PDF

The Identification of Randles Impedance Model Parameters of a PEM Fuel Cell by the Least Square Method

Author 1: Selméne Ben Yahia
Author 2: Hatem Allagui
Author 3: Abdelkader Mami

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 8, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: One of the problems of industrial development of fuel cells is the reliability of their performances with time. The solution of this problem is through by the development of improved diagnostic methods such as the identification of parameters. This work focuses on the modeling and the identification of the impedance model parameters of a Proton Exchange Membrane (PEM) fuel cell. It is based on the Randles model represented by specific complex impedance at each cell. We have used the “Least square” method to determine the parameters model using measured reference values. The proposed authentication method is valid for Randles model, but it can be generalized to be applied to others.

Keywords: Randles model; impedance; Proton Exchange Membrane (PEM) fuel cell; modeling; parameters identification; least square

Selméne Ben Yahia, Hatem Allagui and Abdelkader Mami, “The Identification of Randles Impedance Model Parameters of a PEM Fuel Cell by the Least Square Method” International Journal of Advanced Computer Science and Applications(IJACSA), 8(8), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080845

@article{Yahia2017,
title = {The Identification of Randles Impedance Model Parameters of a PEM Fuel Cell by the Least Square Method},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080845},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080845},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {8},
author = {Selméne Ben Yahia and Hatem Allagui and Abdelkader Mami}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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