Research Area:  Metaheuristic Computing

Abstract:

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.

Keywords:  
Temperature measurement
Parameter estimation
Voltage measurement
Fuel cells
Electrolytes
Polymers
Electromagnetic fields

Author(s) Name:  Ahmed S. Menesy,Hamdy M. Sultan,Salah Kamel,Rania A. Turky,Ahmed Al-Durra,Hany M. Hasanien

Publisher name:  IEEE

DOI:  10.1109/IAS44978.2020.9334898

Volume Information:  

Paper Link:   https://ieeexplore.ieee.org/document/9334898/authors#authors