English
Comparative study of PEM fuel cell parameter extraction using genetic algorithm
N. Rajasekar - VIT University
Basil Jacob, VIT University
Karthik Balasubramanian, VIT University
K. Priya, VIT University
K. Sangeetha, VIT University
T. Sudhakar Babu, VIT University
Karthik Balasubramanian, VIT University
K. Priya, VIT University
K. Sangeetha, VIT University
T. Sudhakar Babu, VIT University
(in lingua inglese)
In this paper, a novel problem formulation based on derivative of power with respect to current at maximum power point is proposed. A simple Genetic Algorithm is used to solve the above formulation. The seven model parameters e1;e2;e3;e4; b; Rc and k are extracted via GA procedure. For demonstration, results obtained with GA are benchmarked with the widely used curve fitting approach. The results demonstrate that the new MPP formulation applying GA performs better than curve fitting method in terms of accuracy, convergence characteristics, convergence speed and objective function value.
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Fonte: Articolo Ain Shams Engineering Journal, 2015
Settori: Idrogeno, Rinnovabili
Parole chiave: Celle a combustibile
