4.7 Article

Short-circuit current density mapping for solar cells

期刊

SOLAR ENERGY MATERIALS AND SOLAR CELLS
卷 120, 期 -, 页码 282-288

出版社

ELSEVIER
DOI: 10.1016/j.solmat.2013.09.019

关键词

Silicon; Solar cell; Current density; Loss-analysis; Mapping; Cast-mono

资金

  1. German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety [0325447]
  2. Reiner Lemoine Stiftung

向作者/读者索取更多资源

A map of local short-circuit current density (J(SC)) of a solar cell at standard irradiance spectra is a desirable source of information for current-loss analysis and device optimization. In this work, we present a new and easily implementable method to obtain such J(SC) maps as well as local external quantum efficiency graphs with a spatial resolution of about 100 mu m, exemplified for silicon solar cells. The method is based on a pixel by pixel interpolation of external quantum efficiency maps obtained by spectrally resolved light-beam induced current measurements (SR-LBiC). The local data is integrated with an AM1.5G spectrum to obtain a J(SC) map with no additional measurement time beyond SR-LBIC image acquisition. The averaged currents over a map are in good agreement with global current-voltage measurements. Some of the possible applications of this method are presented and exemplified, including local quantum efficiency of a cast-mono solar cell, separation of J(SC) contributions from front side and bulk, quantitative determination of the electrical shading effect in IBC cells, the impact of the irradiance spectrum on local J(SC) for indoor photovoltaic applications and also the separation of optical and electrical current losses with newly introduced Pseudo-J(SC) maps based on internal quantum efficiency maps. Finally, the resulting J(SC) maps also present valuable information for several existing local cell-parameter imaging methods. This basic approach leads to an easily accessible, spatially resolved short-circuit current loss-analysis, which is in principle applicable to any solar cell structure. (C) 2013 Elsevier B.V. All rights reserved.

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