Novel Analytical Approach for Parameters Identification of PEM Electrolyzer

Electrochemical modeling is commonly used to model the characteristics of proton exchange membrane (PEM) electrolyzer cells where all losses caused during the electrolysis process are taken into account. The model has a nonlinear relationship between current density and voltage (
J–V
), with five model parameters that are subjected to change depending on the physical properties and chemical conditions of the PEM electrolyzer. In this article, a novel analytical approach based on the least square error method is proposed to estimate the model parameters and characterize the electrochemical behavior of the PEM electrolyzer under various operating conditions. The accuracy and validity of the proposed approach are tested under different case studies at various operating temperatures, output pressures, hydrogen production rates, and sizes of the dataset. Also, the relationship between the estimated parameters and the operating conditions of the PEM electrolyzer is explored. Finally, the superiority of the proposed approach is demonstrated by comparison to numerical and heuristic optimization parameter identification methods.