Parameter Identification of Proton Exchange Membrane Fuel Cell Based on Hunger Games Search Algorithm

This paper presents a novel minimum seeking algorithm referred to as the Hunger Games Search (HGS) algorithm. The HGS is used obtain optimal values in model describing proton exchange membrane fuel cells (PEMFCs). PEMFC has many parameters that are linked nonlinear manner, well set of constraints. was with aforementioned test its performance against models. main aim optimization problem accurate parameters. proposed heuristic two commercial PEMFCs: Ballard Mark V and BCS 500 W. simulation results obtained using HGS-based were compared experimental results. effectiveness verified under various temperature partial pressure conditions. numerical output cell other algorithm-based models respect their efficiency. Moreover, parametric t-test statistical analysis methods employed check robustness independent runs. Using model, very high precision could be obtained, affecting operation control analyses.