Series resistance

Hikmat S. Hilal's picture

Modelling and Simulation of Ingap Solar Cells Under Solar Concentration: Series Resistance Measurement and Prediction

Journal Title, Volume, Page: 
Solid State Sciences, Volume 8, Issue 5,Pages 556-559
Year of Publication: 
2006
Authors: 
H.S. Hilal
An-Najah N. University, P.O. Box 7, Nablus, West Bank, Palestine
Current Affiliation: 
Department of Chemistry, An-Najah N. University, Nablus, PO Box 7, West Bank, Palestine
A. Cheknane
Unité de Recherche des Matériaux et Energies Renouvelables, Université Abou Bakr Belkaid Tlemcen, Algérie
J.P. Charles
MOPS, SUPELEC, 2 rue Edouard Belin, 57070 Metz, France
B. Benyoucef
Unité de Recherche des Matériaux et Energies Renouvelables, Université Abou Bakr Belkaid Tlemcen, Algérie
G. Campet
CNRS, Université Bordeaux I, Château Brivazac, Ave du Dr. A. Schweitzer, 33600 Pessac, France
Preferred Abstract (Original): 

One of the important parameters, that commonly affect solar cell performances, is the series resistance. Such effect becomes more pronounced when working under higher illumination intensities due to higher generated photocurrents. Therefore, it is necessary to predict series resistance effects under such conditions. To know more about the series resistance effect and its interpretation, InGaP based solar cell performances were investigated, using high solar concentration levels (73.36 X, 201.19 X). To facilitate the prediction of series resistance effect, as a function of insolation level, a computerised analytical model, using neural network, is presented.

 SERIES RESISTANCE MEASUREMENT AND PREDICTION
 

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