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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.

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