Parameter Estimation of Polymer Electrolyte Membrane Fuel Cell Using Sine-Cosine Algorithm

Polarization curves of polymer electrolyte membrane fuel cell are based on several parameters. Parameter importance differs relatively to the model specification. The aim of this paper is to obtain an accurate model by validating the model at different conditions. Its model is complicated, non-linear, and multi variable model because it needs to estimate some model parameters according to their possible ranges. In this paper, sine-cosine algorithm is a meta heuristic technique inspired from mathematical equations to estimate seven unknown parameters to develop the model accuracy. Several tests are applied to prove the superiority of the algorithm compared to two other algorithms and validate the model performance.