Diagnosis of Water Failures in Proton Exchange Membrane Fuel Cells via Physical Parameter Resistances of the Fractional Order Model and Fast Fourier Transform Electrochemical Impedance SpectroscopySource: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 002::page 21004Author:Arama, Fatima Zohra;Laribi, Slimane;Mammar, Khaled;Aoun, Nouar;Ghaitaoui, Touhami;Hamouda, Messaoud
DOI: 10.1115/1.4055043Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The identification of water status is the foundation for fuel cell water management, which is helpful to fuel cell reliability and longevity. In this article, a novel and reliable method for diagnosing the hydration condition of proton exchange membrane fuel cells (PEMFCs) was presented using a fractional-order model (FOM) to represent the PEMFCs impedance. The results show that the mean root-mean-squared error (RMSE) and mean absolute percentage error (MAPE) between the proposed model and experimental data (in normal, drying, or flooding cases) are about 0.034 and 0.473, respectively. The fast Fourier transform–electrochemical impedance spectroscopy technique (FFT-EIS) was used as an alternative technique that is simple and efficient to electrochemical impedance spectroscopy (EIS). The PEMFCs hydration state is monitored by observing the changing effect of the physical resistor values (membrane resistance, polarization, and diffusion resistances) of the proposed model. These resistors, characterized by their high sensitivity to the drying and flooding of PEMFCs, affect the Nyquist impedance spectra and frequency spectrum amplitudes at low and high frequencies. Based on the obtained results, it is concluded that the proposed strategy can be used to develop new domains in which the PEMFCs’ hydration states can be properly predicted.
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contributor author | Arama, Fatima Zohra;Laribi, Slimane;Mammar, Khaled;Aoun, Nouar;Ghaitaoui, Touhami;Hamouda, Messaoud | |
date accessioned | 2022-12-27T23:14:19Z | |
date available | 2022-12-27T23:14:19Z | |
date copyright | 8/11/2022 12:00:00 AM | |
date issued | 2022 | |
identifier issn | 2381-6872 | |
identifier other | jeecs_20_2_021004.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4288184 | |
description abstract | The identification of water status is the foundation for fuel cell water management, which is helpful to fuel cell reliability and longevity. In this article, a novel and reliable method for diagnosing the hydration condition of proton exchange membrane fuel cells (PEMFCs) was presented using a fractional-order model (FOM) to represent the PEMFCs impedance. The results show that the mean root-mean-squared error (RMSE) and mean absolute percentage error (MAPE) between the proposed model and experimental data (in normal, drying, or flooding cases) are about 0.034 and 0.473, respectively. The fast Fourier transform–electrochemical impedance spectroscopy technique (FFT-EIS) was used as an alternative technique that is simple and efficient to electrochemical impedance spectroscopy (EIS). The PEMFCs hydration state is monitored by observing the changing effect of the physical resistor values (membrane resistance, polarization, and diffusion resistances) of the proposed model. These resistors, characterized by their high sensitivity to the drying and flooding of PEMFCs, affect the Nyquist impedance spectra and frequency spectrum amplitudes at low and high frequencies. Based on the obtained results, it is concluded that the proposed strategy can be used to develop new domains in which the PEMFCs’ hydration states can be properly predicted. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Diagnosis of Water Failures in Proton Exchange Membrane Fuel Cells via Physical Parameter Resistances of the Fractional Order Model and Fast Fourier Transform Electrochemical Impedance Spectroscopy | |
type | Journal Paper | |
journal volume | 20 | |
journal issue | 2 | |
journal title | Journal of Electrochemical Energy Conversion and Storage | |
identifier doi | 10.1115/1.4055043 | |
journal fristpage | 21004 | |
journal lastpage | 21004_11 | |
page | 11 | |
tree | Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 002 | |
contenttype | Fulltext |