Modeling approach to identify physically distinct processes convoluted in electrochemical impedance spectra for proton-conducting solid oxide fuel cells

Electrochemical impedance spectroscopy (EIS) is an important characterization technique for solid oxide fuel cells (SOFCs); however, the overlap or dispersion in the frequency domain among physically distinct processes imposes great difficulties on unambiguous interpretation of EIS data. Built upon...

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Veröffentlicht in:Journal of applied electrochemistry 2014-06, Vol.44 (6), p.683-694
Hauptverfasser: Shi, Junxiang, Xue, Xingjian
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Xue, Xingjian
description Electrochemical impedance spectroscopy (EIS) is an important characterization technique for solid oxide fuel cells (SOFCs); however, the overlap or dispersion in the frequency domain among physically distinct processes imposes great difficulties on unambiguous interpretation of EIS data. Built upon mechanistic SOFC model development and calibrations using polarization curve and multiple EIS curves under different operating voltages, a process reduction strategy was studied to identify both magnitude and frequencies of physically distinct processes convoluted in EIS.
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subjects Calibration
Chemistry
Chemistry and Materials Science
Dispersions
Electric potential
Electrochemical impedance spectroscopy
Electrochemistry
Fuel cells
Industrial Chemistry/Chemical Engineering
Physical Chemistry
Research Article
Solid oxide fuel cells
Spectra
Strategy
Voltage
title Modeling approach to identify physically distinct processes convoluted in electrochemical impedance spectra for proton-conducting solid oxide fuel cells
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