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The reliability of thermography- and luminescence-based series resistance and saturation current density imaging

机译:基于热成像和发光的串联电阻和饱和电流密度成像的可靠性

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The conventional quantitative evaluation of dark lock-in thermography (DLIT), electroluminescence (EL), and photoluminescence (PL) images of solar cells is based on the model of independent diodes, where each image pixel is assumed to be connected with the terminals by an independent series resistance. In reality, however, the solar cell represents a 2-dimensional resistance-diode network. In this work solar cells containing well-defined spatial distributions of the saturation current density J(01) and also containing J(02)-type and ohmic shunts are modeled for various externally applied biases and illumination conditions realistically as a 2-dimensional resistance-diode network. The resulting local diode voltage distributions are converted into DLIT, EL and PL images, which are further processed by conventional evaluation methods, which rely on the simple model of independent diodes. These are the so-called "Local-IV" method for the DLIT analysis, which may be supported by EL results to obtain series resistance images, and "C-DCR" for the PL analysis. This leads to calculated images of the local effective series resistance R-s and of J(01). Regarding the resulting R-s images, PL shows the expected series resistance distribution and is not affected by the shunt regions. The DLIT-EL R-s images instead yield expected values only in the homogeneous regions, which are not affected by the assumed shunts. DLIT-EL determines higher values of R-s in local shunt regions and lower values around these regions and in spatially extended shunt regions. Regarding the J(01) images both methods again give the expected results if J(01) is distributed homogeneously. However, in the shunted regions, PL suffers from balancing currents within the emitter and DLIT from optical blurring. By comparing local and extended regions of increased J(01) we find that DLIT approximates the expected J(01) value better than PL, which clearly underestimates even extended local maxima offal. For a local current analysis of silicon solar cells we recommend the use of DLIT for the determination of hi images and PL for the determination of R-s images. (C) 2015 Elsevier B.V. All rights reserved.
机译:太阳能电池的暗锁定热成像(DLIT),电致发光(EL)和光致发光(PL)图像的常规定量评估基于独立二极管的模型,其中每个图像像素均假定通过以下方式与端子连接:一个独立的串联电阻。然而,实际上,太阳能电池代表二维电阻二极管网络。在这项工作中,将包含明确定义的饱和电流密度J(01)的空间分布并且还包含J(02)型和欧姆分流器的太阳能电池建模为各种外部施加的偏置和照明条件,实际上是二维电阻,二极管网络。由此产生的局部二极管电压分布转换为DLIT,EL和PL图像,这些图像将通过常规评估方法进一步处理,这些评估方法依赖于独立二极管的简单模型。这些是用于DLIT分析的所谓“ Local-IV”方法,可以通过EL结果支持以获得串联电阻图像,而使用“ C-DCR”进行PLIT分析。这导致了局部有效串联电阻Rs和J(01)的计算图像。关于生成的R-s图像,PL显示了预期的串联电阻分布,并且不受分流区域的影响。相反,DLIT-EL R-s图像仅在均质区域中产生期望值,不受假定分流的影响。 DLIT-EL确定局部分流区域中较高的R-s值,以及这些区域周围以及空间扩展的分流区域中的较低R-s值。关于J(01)图像,如果J(01)均匀分布,则这两种方法都会再次给出预期结果。然而,在并联区域中,PL遭受发射器内电流平衡的困扰,而DLIT受光学模糊影响。通过比较增加的J(01)的局部和扩展区域,我们发现DLIT比PL更好地估计了预期的J(01)值,这显然低估了扩展的局部最大内脏。对于硅太阳能电池的局部电流分析,我们建议使用DLIT来确定hi图像,使用PL来确定R-s图像。 (C)2015 Elsevier B.V.保留所有权利。

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