Optimal Values of Unknown Parameters of Polymer Electrolyte Membrane Fuel Cells Using Improved Chaotic Electromagnetic Field Optimization

摘要

In this paper, the Improved Chaotic Electromagnetic Field optimization (ICEFO) algorithm is adopted to generate the optimal values of unknown parameters of fuel cells (FCs). The mathematical model of polymer electrolyte membrane FC (PEMFC) is considered nonlinear and complex optimization problem with different control variables. The sum of squared error (SSE) between the measured and computed stack voltages is considered as the main objective function. The performance of ICEFO algorithm is tested on three PEMFC stacks. Moreover, sensitivity and statistical measures have been presented to confirm the reliability and accuracy of ICEFO. In addition, the effect of changing the cell temperature and reactants pressures are studied for more validation of ICEFO. Furthermore, the results obtained by ICEFO are competitively compared with other optimization methods. These results confirm the effectiveness of ICEFO in solving the optimization problem of PEMFC parameter estimation.