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

Журнал Technologies
, E-ISSN: 2227-7080
Вых. Данные Год: 2024, Том: 12, Номер: 10, Номер статьи : 202, Страниц : 14 DOI: 10.3390/technologies12100202
Ключевые слова polymer electrolyte membrane fuel cell; catalyst on carbon; platinum degradation; accelerated stress test; particle diameter distribution
Авторы Ковтуненко Виктор Анатольевич 1,2
Организации
1 Lavrentyev Institute of Hydrodynamics
2 University of Graz

Информация о финансировании (1)

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

Реферат: 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.
Библиографическая ссылка: 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
Даты:
Поступила в редакцию: 15 сент. 2024 г.
Принята к публикации: 14 окт. 2024 г.
Опубликована в печати: 17 окт. 2024 г.
Идентификаторы БД:
Web of science: WOS:001341969900001
Scopus: 2-s2.0-85207288523
OpenAlex: W4403484605
Цитирование в БД: Пока нет цитирований
Альметрики: