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Modelling and simulation of InGaP solar cells under solar concentration: Series resistance measurement and prediction

机译:InGaP太阳能电池在太阳光下的建模与仿真:串联电阻的测量与预测

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摘要

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. (C) 2006 Elsevier SAS. All fights reserved.
机译:通常会影响太阳能电池性能的重要参数之一是串联电阻。当在较高的照明强度下工作时,由于产生的较高的光电流,这种效果会更加明显。因此,有必要在这种条件下预测串联电阻效应。要了解更多有关串联电阻效应及其解释的信息,使用高太阳光浓度水平(73.36 X,201.19 X)对基于InGaP的太阳能电池性能进行了研究。为了便于预测串联电阻效应,根据日射水平,提出了使用神经网络的计算机分析模型。 (C)2006 Elsevier SAS。保留所有战斗。

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