University of Oulu

Ohenoja, M. and Leiviskä, K. (2020), Observations on the Parameter Estimation Problem of Polymer Electrolyte Membrane Fuel Cell Polarization Curves. Fuel Cells, 20: 516-526. https://doi.org/10.1002/fuce.201900155

Observations on the parameter estimation problem of polymer electrolyte membrane fuel cell polarization curves

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Author: Ohenoja, M.1; Leiviska, K.1
Organizations: 1Control Engineering, Faculty of Technology, University ofOulu, PO Box 4300, 90014Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020111790920
Language: English
Published: John Wiley & Sons, 2020
Publish Date: 2020-11-17
Description:

Abstract

The optimal operation of fuel cells in changing environmental and variable load conditions requires mathematical modeling. The electrochemical behavior of polymer electrolyte membrane fuel cells (PEMFC) is commonly described with a semi‐empirical model requiring fuel cell specific model parameter values. A large number of different nature inspired, heuristic optimization methods have been proposed for this PEMFC parameter estimation problem. In this study, those studies are listed and critically reviewed. In particular, the aim is to elaborate the generalization ability of the results and discuss the fair comparison of the algorithms used for the parameter estimation of the polarization curve. The observations made in this review could further increase the quality of future contributions in this particular area, as well as applications of heuristic optimization methods in other related problems in fuel cell systems.

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Series: Fuel cells
ISSN: 1615-6846
ISSN-E: 1615-6854
ISSN-L: 1615-6846
Volume: 20
Issue: 5
Pages: 516 - 526
DOI: 10.1002/fuce.201900155
OADOI: https://oadoi.org/10.1002/fuce.201900155
Type of Publication: A2 Review article in a scientific journal
Field of Science: 215 Chemical engineering
Subjects:
Copyright information: © 2020 The Authors. Published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
  https://creativecommons.org/licenses/by/4.0/