用现代成像方法表征多晶硅太阳电池的不同缺陷

Shishu Lou, Huishi Zhu, P. Han
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摘要

多晶硅太阳电池中的杂质、增益边界、位错和金属杂质等缺陷对器件的最终转换效率有很大的影响。此外,多晶硅太阳电池中不同种类的缺陷和不同深度层的缺陷对器件的最终性能起着不同的作用。提出了一种利用电致发光成像技术快速识别不同类型和深度缺陷的方法。不同类型的缺陷对多余的少数载流子的分布有不同的影响,从而导致最终发光光谱和发光强度的差异。因此,我们可以在几秒钟内通过一组EL图像识别出这些缺陷。此外,我们发现不同深度的缺陷与电击穿有密切的关系,这将导致最终电致发光性能的差异。不同正向偏置电压和反向偏置电压下的EL图像可以清晰地区分前表面附近、pn结周围和大块材料中的缺陷。采用光束感应电流(LBIC)成像验证了我们提出的方法。这些现代成像方法将成为光伏测试领域的热门方法,我们希望我们的研究能为硅基器件的研究提供一些帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing different defects in multicrystalline silicon solar cells via modern imaging methods
Defects in multicrystalline silicon solar cells such as impurities, gain boundaries, dislocations and metallic impurities have great influence to the final conversion efficiency of devices. Moreover, different kinds of defects and defects at different depth layers in multicrystalline silicon solar cell play different roles to the final performance of devices. This paper proposes a fast technique via electroluminescence imaging method to distinguish different types and depths defects. Different types of defects have various influences to the distribution of extra minority carriers which would result in the distinctions in the final luminescence spectrum and intensity. Therefore, we can recognize these defects via a group of EL images in a few seconds. Also, we found that defects at different depths show a closely relationship with electrical breakdown which would lead to the differences on the final electroluminescence properties. The EL images under different forward-biased and reversed-biased voltages give a clear separation of defects near the front surface, around p-n junction and in bulk material. Light beam induced current (LBIC) imaging is used to verify the methods we proposed. These modern imaging methods could become popular methods in photovoltaic testing field, and we hope our research could give some help in the study of silicon based devices.
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