journal article·2025-06-23Open access

Benchmarking Performance and Degradation of Pt Supported on Different Carbons for PEMFC Applications Using Gas Diffusion Electrode Half-Cell

Pascal Lauf, A. Lucía Morales, Konrad Ehelebe, Andreas Hutzler, Karl J. J. Mayrhofer, Vicent Lloret, Serhiy Cherevko

ACS Applied Energy Materials· Volume 8· Issue 12

Abstract

High Resolution Image Download MS PowerPoint Slide The performance of platinum nanoparticles in proton exchange membrane fuel cells (PEMFCs) depends on carbon support. In comparison to nonporous supports (Vulcan, Pt/V), porous supports (Ketjenblack, Pt/KB) reveal higher tolerance toward the decrease in the electrochemical active surface area (ECSA), which could be attributed to suppressed dissolution (net mass loss). However, distinguishing between different degradation mechanisms is challenging in membrane electrode assembly (MEA) tests. This study uses the gas diffusion electrode (GDE) half-cell setup to gain fundamental insights into the degradation of Pt/C. Several metrics are considered to benchmark GDE to MEA. First, we confirm that the optimal ionomer to carbon (I/C) ratios for Pt/V and Pt/KB of 0.65 and 1.0 are similar in both setups. The beginning of life (BOL) performance reveals that Pt/KB suffers from mass transport losses in the high current density region going up to 2 A cm –2 . Further, an accelerated stress test (AST) consisting of 5000 potential cycles shows a decrease in ECSA for Pt/V of ∼40% and Pt/KB of ∼30%. Quantifying Pt dissolution during the AST using online inductively coupled plasma mass spectrometry (ICP–MS), similar for all studied catalyst layers, we conclude that, for the chosen AST protocols in this study, Ostwald ripening is the dominating degradation process in both supports.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrocatalysts for Energy Conversion · Fuel Cells and Related Materials · Advanced Memory and Neural Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Helmholtz-Institute Erlangen-Nürnberg for Renewable Energy (IET-2), Forschungszentrum Jülich GmbH, Cauerstr. 1, 91058 Erlangen, Germany

Department of Chemical and Biological Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Cauerstr. 1, 91058 Erlangen, Germany

Funding

Bundesministerium f?r Wirtschaft und Technologie · Heinrich B?ll Stiftung

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