Preprint / Version 1

A multi-scale analysis method for catalyst layers in PEMFC catalyst coated membranes: Correlation of catalyst layer microstructure with dispersion recipes and hot-press pressure

##article.authors##

  • Ahammed Suhail Odungat Institute for Energy and Material Processes – Particle Science and Technology (EMPI-PST), University of Duisburg-Essen, Duisburg, Germany
  • Lars Grebener Institute for Energy and Material Processes – Particle Science and Technology (EMPI-PST), University of Duisburg-Essen, Duisburg, Germany
  • Oliver Pasdag ZBT GmbH – The Hydrogen and Fuel Cell Center, Duisburg, Germany
  • Thai Binh Nguyen CENIDE – Center for Nanointegration Duisburg-Essen, Germany; Interdisciplinary Center for Analytics on the Nanoscale (ICAN), University of Duisburg-Essen, Duisburg, Germany
  • Yawen Zhu Institute for Energy and Material Processes – Particle Science and Technology (EMPI-PST), University of Duisburg-Essen, Duisburg, Germany
  • Sebastian Kohsakowski Laufenberg GmbH, Krefeld, Germany
  • Ivan Radev ZBT GmbH – The Hydrogen and Fuel Cell Center, Duisburg, Germany; Institute of Electrochemistry and Energy Systems – Academician Evgeni Budevski, Bulgarian Academy of Sciences, Bulgaria
  • Fatih Özcan Institute for Energy and Material Processes – Particle Science and Technology (EMPI-PST), University of Duisburg-Essen, Duisburg, Germany; CENIDE – Center for Nanointegration Duisburg-Essen, Germany
  • Doris Segets Institute for Energy and Material Processes – Particle Science and Technology (EMPI-PST), University of Duisburg-Essen, Duisburg, Germany; CENIDE – Center for Nanointegration Duisburg-Essen, Germany

DOI:

https://doi.org/10.31224/4228

Keywords:

proton exchange membrane fuel cell, microstructure, catalyst layer

Abstract

This study introduces a comprehensive multi-scale framework for analyzing and optimizing the microstructural properties of catalyst-coated membranes (CCMs) in polymer electrolyte membrane fuel cells (PEMFCs). The approach integrates mercury intrusion porosimetry (MIP), multiple microscopy techniques, and non-destructive focused ion beam scanning electron microscopy (FIB-SEM), enabling detailed characterization across microstructural scales, from tens of nanometers to hundreds of micrometers. A custom MATLAB-based image-processing algorithm was developed to extract pore attributes—including size, porosity, and geometry—from FIB-SEM cross-sections, providing unprecedented insights into microstructural variations under varying fabrication conditions. By employing this multi-scale analysis, the study revealed significant correlations between process parameters (such as hot-pressing) and dispersion formulations with the resulting microstructural properties and electrochemical performance. The study revealed previously hidden dependencies, demonstrating that catalyst layers produced from different dispersions exhibit distinct responses to hot-pressing and further elucidating the critical interplay between pore structure, internal resistance, and adhesion in achieving CCMs with optimal performance. This novel approach provides a scalable, cost-effective tool for probing CCM structure-property-performance correlations. By enabling the characterization of both surface and internal features within catalyst layers, our method lays the foundation for rational, data-driven design of CCMs and other electrochemical systems, such as proton exchange membrane electrolyzers.

Downloads

Download data is not yet available.

Downloads

Posted

2024-12-16