Variance-based sensitivity analysis of fitting parameters to impact on cycling durability of polymer electrolyte fuel cells

Variance-based sensitivity analysis of fitting parameters to impact on cycling durability of polymer electrolyte fuel cells Full article

Journal

Technologies
, E-ISSN: 2227-7080

Output data

Year: 2022, Volume: 10, Number: 6, Article number : 111, Pages count : DOI: 10.3390/technologies10060111

Authors

Kovtunenko Victor Anatolʹevich ^1,2

Affiliations

1	Institute for Mathematics and Scientific Computing, Karl-Franzens University of Graz,
2	Lavrentyev Institute of Hydrodynamics, Siberian Division of the Russian Academy of Sciences

Degradation of a catalyst layer in polymer electrolyte membrane fuel cells is considered, which is caused by electrochemical reactions of the platinum ion dissolution and oxide coverage. An accelerated stress test is applied, where the electric potential cycling is given by a non-symmetric square profile. Computer simulations of the underlying one-dimensional Holby–Morgan model predict durability of the fuel cell operating. A sensitivity analysis based on the variance quantifies how loss of the platinum mass subjected to the degradation is impacted by the variation of fitting parameters in the model.

Kovtunenko V.A.
Variance-based sensitivity analysis of fitting parameters to impact on cycling durability of polymer electrolyte fuel cells
Technologies. 2022. V.10. N6. 111 . DOI: 10.3390/technologies10060111 WOS Scopus РИНЦ OpenAlex

Published print:

Oct 28, 2022

Web of science:	WOS:000903487600001
Scopus:	2-s2.0-85147659420
Elibrary:	57365137
OpenAlex:	W4307944981

DB	Citing
OpenAlex	3
Scopus	3
Web of science	2