A hybrid optimization algorithm for parameter identification in proton exchange membrane fuel cell
Purpose To identify parameters in a proton exchange membrane fuel cell. Design/methodology/approach A novel optimization algorithm, the sine-cosine geometric mean optimizer, is proposed for parameter identification in a proton exchange membrane fuel cell. Findings A novel optimization algorithm for parameter identification in a proton exchange membrane fuel cell. Originality/value The accuracy of parameter identification in a proton exchange membrane fuel cell is improved.
Authors
- Bin Chai (ORCID: https://orcid.org/0000-0001-5886-6390)
- Wanlin He (ORCID: https://orcid.org/0000-0002-9471-2409)
- Huijie Liu (ORCID: https://orcid.org/0000-0001-7971-9584)
- Lin Liu
Institutions
- Norwich University (US)
- Krirk University (TH)
Publication Details
- Journal
- Engineering Computations
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1108/ec-03-2025-0219
- Primary Topic
- Fuel Cells and Related Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00