Electrical Impedance Tomography for Spatial Conductivity Mapping of PEM Fuel Cell Components

IF 14.7 Q1 CHEMISTRY, ANALYTICAL
ACS Measurement Science Au Pub Date : 2026-10-21 Epub Date: 2026-09-09 DOI:10.1021/acsmeasuresciau.6c00202
Susanne Thiel, Lennart Mozer, Maik Eichelbaum
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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.

PEM燃料电池组件空间电导率映射的电阻抗层析成像
电阻抗层析(EIT)作为电化学能量系统材料(如聚合物电解质膜燃料电池组件)空间电导率测绘的测量方法进行了评估。聚合物电解质膜被选择性激活或失活,并在催化剂涂层膜(CCMs)和气体扩散层中引入定义的人工缺陷,以评估EIT的灵敏度和诊断能力。利用扫描电化学显微镜对重建的电导率分布进行了独立验证,以确定空间对比和重建的准确性。EIT能够快速、无损地检测激活状态和降解的大面积变化。局部缺陷可以可靠地检测到,该方法优先考虑空间定位和故障识别,这比电阻抗谱法具有明显的优势,电阻抗谱法缺乏空间背景来区分局部和全局退化。ccm的可重复性研究表明,测量变异性和样品重新安装效果仍然足够低,以一致的缺陷识别,缺陷和背景信号在不同的置信区间内被清楚地分开。模拟研究了不同的电极计数和位置,缺陷排列和样品大小,包括现实的燃料电池应用规模eccm样品,作为未来可能的EIT应用的定性设计说明。这一发展为燃料电池材料的快速无损电化学成像迈出了重要的一步,并可能为在线、原位和操作研究电化学能量器件中的局部激活、降解、缺陷和异质性提供了有力的工具。
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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
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.
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