The current work aims at developing an efficient methodology based on pathfinder algorithm (PFA) to study and examine the dynamic performances of fuel cells. At initial stage of this work, the uncertain parameters of fuel cells are defined by using the PFA complete with necessary discussions, comparisons and validations. The best obtained errors of the studied fuel cells modules such as Mark V, and H-12 are equal to 0.853608 , and 0.0965364 ; respectively. Then, the impacts of changeable conditions are performed. At a later stage, a generalized dynamic model of the fuel cell is constructed via Simulink/MATLAB facilities utilizing the cropped parameters produced by the PFA. Just a representative example, various scenarios are demonstrated to indicate the accurateness of the proposed PFA-based methodology on Mark V module. These dynamic scenarios include connections of resistive load and DC motor to the fuel cell under study. At which, various operating parameters such the dynamic responses of inlet pressures, flow rates, and output voltage are observed and analyzed. In addition to that, the detailed responses of the internal voltage declines of fuel cell are traced. It can be confirmed after intensive analyses and verifications that the PFA proves its competency in the accurate modeling of the fuel cells for the purposes of steady-state and dynamic analysis.