@inproceedings{f1af4d2008d94f9fa27873c202f556c8,
title = "Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization",
abstract = "In this paper, the Improved Chaotic Electromagnetic Field optimization (ICEFO) algorithm is adopted to generate the optimal values of unknown parameters of fuel cells (FCs). The mathematical model of polymer electrolyte membrane FC (PEMFC) is considered nonlinear and complex optimization problem with different control variables. The sum of squared error (SSE) between the measured and computed stack voltages is considered as the main objective function. The performance of ICEFO algorithm is tested on three PEMFC stacks. Moreover, sensitivity and statistical measures have been presented to confirm the reliability and accuracy of ICEFO. In addition, the effect of changing the cell temperature and reactants pressures are studied for more validation of ICEFO. Furthermore, the results obtained by ICEFO are competitively compared with other optimization methods. These results confirm the effectiveness of ICEFO in solving the optimization problem of PEMFC parameter estimation.",
keywords = "Chaotic maps, ICEFO., Parameter estimation, PEMFC, Statistical analysis",
author = "Menesy, {Ahmed S.} and Sultan, {Hamdy M.} and Salah Kamel and Turky, {Rania A.} and Ahmed Al-Durra and Hasanien, {Hany M.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Industry Applications Society Annual Meeting, IAS 2020 ; Conference date: 10-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
day = "10",
doi = "10.1109/IAS44978.2020.9334898",
language = "British English",
series = "2020 IEEE Industry Applications Society Annual Meeting, IAS 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE Industry Applications Society Annual Meeting, IAS 2020",
address = "United States",
}
