Akademik Veri Yönetim Sistemi
9th International Hydrogen Technologies Congress (IHTEC-2025), İzmir, Türkiye, 25 - 28 Mayıs 2025, ss.932-934, (Tam Metin Bildiri)
Proton
Exchange Membrane Fuel Cell (PEMFC) systems' complex and non-linear
characteristics necessitate precise modeling for design and optimization
purposes. The mathematical representation of fuel cells is typically
constructed using empirical equations, as the output voltage is influenced by
various losses, including activation, ohmic, and concentration losses. These
losses depend on specific parametric coefficients; thus, optimizing these
parameters is crucial for minimizing losses and enhancing fuel cell
performance.
In
this study, a novel heuristic optimization approach—the Manta Ray Foraging
Optimization (MRFO) algorithm—is employed to determine the optimal parameters
of PEMFC models. The MRFO algorithm is also applied to optimize the parameters
of various fuel cell types for which experimental data are available. Based on
the resulting parameter selections, error calculations are conducted.
Furthermore, the proposed validation technique validates the voltage-current
(V-I) curve against experimental data.