Optimal Parameter Estimation of Proton Exchange Membrane Fuel Cells

The problem of parameter estimation the proton exchange membrane fuel cell (PEMFC) model plays a significant role in simulation and optimization PEMFC system. In current research, moth flame algorithm (MFOA) is used to identify best parameters PEMFC. Two different PEMFCs, Nedstack PS6, 6 kW, SR-12 PEM 500 W are demonstrate accuracy MFOA. Throughout process, seven unidentified (℥1, ℥2, ℥3, ℥4, λ, ℛ, B) appointed be decision variables. fitness function, which needed minimum, represented by root-mean-square error between calculated voltage experimental dataset. results attained MFOA compared with sine cosine (SCA) particle swarm (PSO). following metrics considered comparison: value, worst average standard deviation, efficiency. main findings verified supremacy estimating comparison PSO SCA. For efficiency values 24.50458%, 79.477%, 38.84747% for MFOA, SCA, respectively. (SR-12 PEM), 14.965%, 79.933% 31.87% PSO,