A proposed artificial neural network model for PEM fuel cells

SARI A., Balikci A., TAŞKIN S., Aydin S.

8th International Conference on Electrical and Electronics Engineering, ELECO 2013, Bursa, Türkiye, 28 - 30 Kasım 2013, ss.205-209, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/eleco.2013.6713832
  • Basıldığı Şehir: Bursa
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.205-209
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

Fuel cells convert the chemical energy directly to the electrical energy and hence they are a very favorable alternative energy source. In the literature, there are many studies related to the modeling of fuel cells. Artificial neural networks (ANNs) is one of the promising techniques for modelling nonlinear systems such as fuel cells. The proposed model in this study doesn't require many parameters like other studies. Firstly, training and testing data was obtained the dynamic model of a PEM fuel-cell. Then, proposed ANN model outputs are compared with dynamic model ouputs Simulation results shows that the proposed ANN model can be used very efficiently for PEM fuel-cells without using many parameters. © 2013 The Chamber of Turkish Electrical Engineers-Bursa.