Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm
In this paper, a new method is designed to effectively determine the parameters of proton exchange membrane fuel cells (PEMFCs), i.e., ?1, ?2, ?3, ?4, RC, ?, and b. The fuel�cells�(FCs) involve multiple variable quantities with complex non-linear behaviours, demanding accurate modelling to ensure op...
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Nature Research
2025
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