Developing an Automated Tool for Quantitative Analysis of the Deconvoluted Electrochemical Impedance Response of a Solid Oxide Fuel Cell

Mohammad Alboghobeish, Andrea Monforti Ferrario, Davide Pumiglia, Massimiliano Della Pietra, Stephen J. McPhail, Sergii Pylypko and Domenico Borello
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Mohammad Alboghobeish: ENEA Department of Energy Technologies and Renewable Sources, Energy Storage, Batteries and Hydrogen Production & Use (TERIN-PSU-ABI), Via Anguillarese, 00123 Rome, Italy
Andrea Monforti Ferrario: ENEA Department of Energy Technologies and Renewable Sources, Energy Storage, Batteries and Hydrogen Production & Use (TERIN-PSU-ABI), Via Anguillarese, 00123 Rome, Italy
Davide Pumiglia: ENEA Department of Energy Technologies and Renewable Sources, Energy Storage, Batteries and Hydrogen Production & Use (TERIN-PSU-ABI), Via Anguillarese, 00123 Rome, Italy
Massimiliano Della Pietra: ENEA Department of Energy Technologies and Renewable Sources, Energy Storage, Batteries and Hydrogen Production & Use (TERIN-PSU-ABI), Via Anguillarese, 00123 Rome, Italy
Stephen J. McPhail: ENEA Department of Energy Technologies and Renewable Sources, Energy Storage, Batteries and Hydrogen Production & Use (TERIN-PSU-ABI), Via Anguillarese, 00123 Rome, Italy
Sergii Pylypko: Elcogen AS, Valukoja 23, 11415 Tallinn, Estonia
Domenico Borello: Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMA), Sapienza University of Rome, Via Eudossiana, 18, 00184 Roma, Italy

Energies, 2022, vol. 15, issue 10, 1-22

Abstract: Despite being commercially available, solid oxide fuel cell (SOFC) technology requires further study to understand its physicochemical processes for diagnostics, prognostics, and quality assurance purposes. Electrochemical impedance spectroscopy (EIS), a widely used characterization technique for SOFCs, is often accompanied by the distribution of relaxation times (DRT) as a method for deconvoluting the contribution of each physicochemical process from the aggregated impedance response spectra. While EIS yields valuable information for the operation of SOFCs, the quantitative analysis of the DRT and its shifts remains cumbersome. To address this issue, and to create a replicable benchmark for the assessment of DRT results, a custom tool was developed in MATLAB to numerically analyze the DRT spectra, identify the DRT peaks, and assess their deviation in terms of peak frequency and DRT amplitude from nominal operating conditions. The preliminary validation of the tool was carried out by applying the tool to an extensive experimental campaign on 23 SOFC button-sized samples from three production batches in which EIS measurements were performed in parametric operating conditions. It was concluded that the results of the automated analysis via the developed tool were in accordance with the qualitative analysis of previous studies. It is capable of providing adequate additional quantitative results in terms of DRT shifts for further analysis and provides the basis for better interoperability of DRT analyses between laboratories.

Keywords: solid oxide fuel cell; physicochemical processes; electrochemical impedance spectroscopy; distribution of relaxation times; MATLAB tool; electrochemical characterization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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