Compressive Sensing Mapping System for Spatial Characterization of Photovoltaic Devices

Samuel Adrian Cerezo, M. Córdoba, F. P. Quintian
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Abstract

Photocurrent mapping (PM) is a non-destructive characterization method of solar cells and panels. It is used in the industry for quality control in the production of photovoltaic devices, in scientific laboratories to characterize new materials, and in photovoltaic facilities to find module failures. The PM consists of applying a laser light beam perpendicularly on a photovoltaic device, scanning the surface point by point, and measuring the induced current as a function of the position of the beam. These systems require a high degree of mechanical stability, which leads to an increase in the characterization times when the area is large. In recent years, it has been made progress in the use of compressive sensing algorithms applied in PM tests in order to reduce moving parts and the measuring times. In this work we apply the compressive sensing technique to obtain a photocurrent map of Si photovoltaic devices. Results are compared with the ones obtained by the conventional technique.
光电器件空间表征的压缩感知映射系统
光电流映射(PM)是一种无损表征太阳能电池和电池板的方法。它在工业中用于光伏设备生产的质量控制,在科学实验室中用于表征新材料,以及在光伏设施中用于查找模块故障。PM包括将激光束垂直施加在光伏器件上,逐点扫描表面,并测量感应电流作为光束位置的函数。这些系统需要高度的机械稳定性,当面积较大时,会导致表征时间的增加。近年来,压缩感知算法在粉末冶金测试中的应用取得了一定的进展,以减少运动部件和测量次数。在这项工作中,我们应用压缩感知技术来获得硅光伏器件的光电流图。并将所得结果与常规方法进行了比较。
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