Optimal Estimation of Proton Exchange Membrane Fuel Cells Parameter Based on Coyote Optimization Algorithm

In recent years, the penetration of fuel cells in distribution systems is significantly increased worldwide. The cell considered an electrochemical energy conversion component. It has ability to convert chemical electrical energies as well heat. proton exchange membrane (PEM) uses hydrogen and oxygen fuel. a low-temperature type that noble metal catalyst, such platinum, at reaction sites. optimal modeling PEM improves performance different applications smart microgrid. Extracting parameters model can be achieved using efficient optimization technique. this line, paper proposes novel swarm-based algorithm called coyote (COA) for finding parameter stack. sum square deviation between measured voltages estimated obtained from COA minimized. Two practical including 250 W stack Ned Stack PS6 are modeled validate capability proposed under operating conditions. effectiveness demonstrated through comparison with four optimizers considering same final results statistical analysis show significant accuracy method. These emphasize estimate more precisely.