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 |
|
||||
Affiliations |
|
Abstract:
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.
Cite:
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
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
Dates:
Published print: | Oct 28, 2022 |
Identifiers:
Web of science: | WOS:000903487600001 |
Scopus: | 2-s2.0-85147659420 |
Elibrary: | 57365137 |
OpenAlex: | W4307944981 |