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Particle size distribution in Holby-Morgan degradation model of platinum on carbon catalyst in fuel cell: normal distribution Full article

Journal Technologies
, E-ISSN: 2227-7080
Output data Year: 2024, Volume: 12, Number: 10, Article number : 202, Pages count : 14 DOI: 10.3390/technologies12100202
Tags polymer electrolyte membrane fuel cell; catalyst on carbon; platinum degradation; accelerated stress test; particle diameter distribution
Authors Kovtunenko Victor Anatolʹevich 1,2
Affiliations
1 Lavrentyev Institute of Hydrodynamics
2 University of Graz

Funding (1)

1 Министерство науки и высшего образования Российской Федерации FWGG-2021-0010

Abstract: The influence of particle size distribution in platinum catalysts on the aging of PEM fuel cells described by Holby–Morgan electrochemical degradation model is under investigation. The nondiffusive model simulates mechanisms of particle drop by Pt dissolution and particle growth through Pt ion deposition. Without spatial dependence, the number of differential equations can be reduced using the first integral of the system. For an accelerated stress test, a non-symmetric square-wave potential profile is applied according to the European harmonized protocol. The normal particle size distribution determined by two probability parameters of the expectation and the standard deviation is represented within finite groups. Numerical solution of the nonlinear diffusion equation justifies dispersion for small and narrowing for large distribution means, decrease or increase in amplitude, and movement of Pt particle diameters towards small sizes, which is faster for small particles.
Cite: Kovtunenko V.A.
Particle size distribution in Holby-Morgan degradation model of platinum on carbon catalyst in fuel cell: normal distribution
Technologies. 2024. V.12. N10. 202 :1-14. DOI: 10.3390/technologies12100202 WOS Scopus OpenAlex
Dates:
Submitted: Sep 15, 2024
Accepted: Oct 14, 2024
Published print: Oct 17, 2024
Identifiers:
Web of science: WOS:001341969900001
Scopus: 2-s2.0-85207288523
OpenAlex: W4403484605
Citing: Пока нет цитирований
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