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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Fuel Cells, Electrolyzers and Membrane Reactors
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1384649

Accurate Parameters Identification of Proton Exchange Membrane Fuel Cell using Young's Double-slit Experiment Optimizer

Provisionally accepted
Ayyarao S. Tummala Ayyarao S. Tummala 1Nishanth Polumahanthi Nishanth Polumahanthi 2Baseem Khan Baseem Khan 3*Ahmed Ali Ahmed Ali 4
  • 1 GMR Institute of Technology, Rajam, Andhra Pradesh, India
  • 2 Bharat Heavy Electricals (India), New Delhi, National Capital Territory of Delhi, India
  • 3 Hawassa University, Awasa, Ethiopia
  • 4 University of Johannesburg, Johannesburg, Gauteng, South Africa

The final, formatted version of the article will be published soon.

    Fuel cell technology is a harbinger of the future for generating electricity due to their high efficiency and low emissions achieved through the direct conversion of chemical energy into electrical energy without combustion. To optimize the design and performance, a fuel cell model is essential to predict its behaviour in different conditions. This technical note presents a novel physics-based approach, the Young's Double-slit Experiment Optimizer (YDEO), for identifying parameters in Proton Exchange Membrane Fuel Cells. A performance metric is established by formulating an objective function that relies on the summation of squared errors between experimental and estimated values. The effectiveness of this approach is evaluated through the analysis of four benchmark test cases: Horizon 500W, BCS500W, NedstackPS6 & 250W. The corresponding objective function values for these test cases are 0.011243, 2.065557, 0.011698, and 5.250849, respectively. The simulation results demonstrate the efficacy of the proposed YDEO algorithm when compared with other existing popular and contemporary algorithms in the literature.

    Keywords: Fuel cell, parameter estimation, optimization, meta-heuristics, Fuel cell model

    Received: 10 Feb 2024; Accepted: 29 Jul 2024.

    Copyright: © 2024 Tummala, Polumahanthi, Khan and Ali. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Baseem Khan, Hawassa University, Awasa, Ethiopia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.