{"title":"Electrical Impedance Tomography for Spatial Conductivity Mapping of PEM Fuel Cell Components","authors":"Susanne Thiel, Lennart Mozer, Maik Eichelbaum","doi":"10.1021/acsmeasuresciau.6c00202","DOIUrl":null,"url":null,"abstract":"<p>Electrical impedance\r\ntomography (EIT) was assessed as a measurement\r\napproach for spatial conductivity mapping of electrochemical energy\r\nsystem materials such as polymer electrolyte membrane fuel cell components.\r\nPolymer electrolyte membranes were selectively activated or deactivated,\r\nand defined artificial defects were introduced into catalyst-coated\r\nmembranes (CCMs) and gas diffusion layers to evaluate the sensitivity\r\nand diagnostic capability of EIT. Reconstructed conductivity distributions\r\nwere independently verified using scanning electrochemical microscopy\r\nto confirm spatial contrast and reconstruction accuracy. EIT enabled\r\nrapid, nondestructive detection of large-area variations in activation\r\nstate and degradation. Localized defects were reliably detected, with\r\nthe methodology prioritizing spatial localization and fault identification\r\nproviding a distinct advantage over electrical impedance spectroscopy,\r\nwhich lacks the spatial context to distinguish between localized and\r\nglobal degradation. Reproducibility studies on CCMs showed that measurement\r\nvariability and sample remounting effects remained sufficiently low\r\nfor consistent defect identification, with defect and background signals\r\nclearly separated for different confidence intervals. Simulation studies\r\nwith different electrode counts and positions, defect arrangements,\r\nand sample sizes including a realistic fuel cell application-scale\r\nCCM sample were performed as a qualitative design illustration for\r\npossible future EIT applications. This development constitutes an\r\nimportant methodological step toward fast nondestructive electrochemical\r\nimaging of fuel cell materials and may provide a powerful tool for\r\nin-line, in situ, and operando investigations of localized activation,\r\ndegradation, defects, and heterogeneities in electrochemical energy\r\ndevices.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 5","pages":"1809–1824"},"PeriodicalIF":14.7000,"publicationDate":"2026-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Measurement Science Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsmeasuresciau.6c00202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Electrical impedance
tomography (EIT) was assessed as a measurement
approach for spatial conductivity mapping of electrochemical energy
system materials such as polymer electrolyte membrane fuel cell components.
Polymer electrolyte membranes were selectively activated or deactivated,
and defined artificial defects were introduced into catalyst-coated
membranes (CCMs) and gas diffusion layers to evaluate the sensitivity
and diagnostic capability of EIT. Reconstructed conductivity distributions
were independently verified using scanning electrochemical microscopy
to confirm spatial contrast and reconstruction accuracy. EIT enabled
rapid, nondestructive detection of large-area variations in activation
state and degradation. Localized defects were reliably detected, with
the methodology prioritizing spatial localization and fault identification
providing a distinct advantage over electrical impedance spectroscopy,
which lacks the spatial context to distinguish between localized and
global degradation. Reproducibility studies on CCMs showed that measurement
variability and sample remounting effects remained sufficiently low
for consistent defect identification, with defect and background signals
clearly separated for different confidence intervals. Simulation studies
with different electrode counts and positions, defect arrangements,
and sample sizes including a realistic fuel cell application-scale
CCM sample were performed as a qualitative design illustration for
possible future EIT applications. This development constitutes an
important methodological step toward fast nondestructive electrochemical
imaging of fuel cell materials and may provide a powerful tool for
in-line, in situ, and operando investigations of localized activation,
degradation, defects, and heterogeneities in electrochemical energy
devices.
期刊介绍:
ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.