Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization

Ahmed S. Menesy; Hamdy M. Sultan; Salah Kamel; Rania A. Turky; Ahmed Al-Durra; Hany M. Hasanien

doi:10.1109/IAS44978.2020.9334898

Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization

Ahmed S. Menesy
, Hamdy M. Sultan
, Salah Kamel
, Rania A. Turky
, Ahmed Al-Durra
, Hany M. Hasanien

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

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.

Original language	British English
Title of host publication	2020 IEEE Industry Applications Society Annual Meeting, IAS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728171920
DOIs	https://doi.org/10.1109/IAS44978.2020.9334898
State	Published - 10 Oct 2020
Event	2020 IEEE Industry Applications Society Annual Meeting, IAS 2020 - Detroit, United States Duration: 10 Oct 2020 → 16 Oct 2020

Publication series

Name	2020 IEEE Industry Applications Society Annual Meeting, IAS 2020

Conference

Conference	2020 IEEE Industry Applications Society Annual Meeting, IAS 2020
Country/Territory	United States
City	Detroit
Period	10/10/20 → 16/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Chaotic maps
ICEFO.
Parameter estimation
PEMFC
Statistical analysis

Access to Document

10.1109/IAS44978.2020.9334898

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Menesy, A. S., Sultan, H. M., Kamel, S., Turky, R. A., Al-Durra, A., & Hasanien, H. M. (2020). Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization. In 2020 IEEE Industry Applications Society Annual Meeting, IAS 2020 Article 9334898 (2020 IEEE Industry Applications Society Annual Meeting, IAS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS44978.2020.9334898

Menesy, Ahmed S. ; Sultan, Hamdy M. ; Kamel, Salah et al. / Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization. 2020 IEEE Industry Applications Society Annual Meeting, IAS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE Industry Applications Society Annual Meeting, IAS 2020).

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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.\}",

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year = "2020",

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doi = "10.1109/IAS44978.2020.9334898",

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Menesy, AS, Sultan, HM, Kamel, S, Turky, RA, Al-Durra, A & Hasanien, HM 2020, Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization. in 2020 IEEE Industry Applications Society Annual Meeting, IAS 2020., 9334898, 2020 IEEE Industry Applications Society Annual Meeting, IAS 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Industry Applications Society Annual Meeting, IAS 2020, Detroit, United States, 10/10/20. https://doi.org/10.1109/IAS44978.2020.9334898

Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization. / Menesy, Ahmed S.; Sultan, Hamdy M.; Kamel, Salah et al.
2020 IEEE Industry Applications Society Annual Meeting, IAS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9334898 (2020 IEEE Industry Applications Society Annual Meeting, IAS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sultan, Hamdy M.

AU - Kamel, Salah

AU - Turky, Rania A.

AU - Al-Durra, Ahmed

AU - Hasanien, Hany M.

PY - 2020/10/10

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N2 - 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.

AB - 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.

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KW - Parameter estimation

KW - PEMFC

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Menesy AS, Sultan HM, Kamel S, Turky RA, Al-Durra A, Hasanien HM. Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization. In 2020 IEEE Industry Applications Society Annual Meeting, IAS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9334898. (2020 IEEE Industry Applications Society Annual Meeting, IAS 2020). doi: 10.1109/IAS44978.2020.9334898

Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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