Parameter Identification of Proton Exchange Membrane Fuel Cell Stacks Using Bonobo Optimizer
Hamdy M. Sultan, Ahmed S. Menesy, Salah Kamel, Marcos Tostado‐Véliz, Francisco Jurado
Abstract
The quality of electrochemical simulation characteristics of fuel cell (FC) stacks mainly affected by the accurateness of its mathematical model. Because of the lack of information in the datasheets, a set of unknown parameters have to be precisely evaluated by developing a precise model of proton exchange membrane FCs (PEMFCs). In this paper, a novel metaheuristic Bonobo Optimizer (BO) algorithm is adopted for identifying the unknown parameters of different commercial PEMFC stacks. The viability of the BO algorithm is assessed by comparing the polarization curves obtained from the models with the corresponding measured ones for various PEM fuel cell stacks. The results obtained by the BO algorithm are compared with those obtained from other recent optimization techniques, where the BO algorithm provided a superior performance in addressing the optimization problem. Finally, statistical study is performed, which ensured the stability and thoroughness of the BO algorithm.