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Toward reliable and accurate evaluation of polymer solar cells based on low band gap polymers

机译:基于低带隙聚合物的聚合物太阳能电池可靠可靠的评估

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摘要

Along with the advances in polymer solar cells (PSCs), the accurate evaluation of novel photovoltaic polymers with various band gaps is an important issue that should be concerned, as well as needs to be addressed at various research laboratories in the world. In this work, we have focused on PSCs by employing some of the most efficient and well-known low band gap (LBG) polymers, for instance, PBDTTT-C-T, PBDTBDD, PDPP3T, PTB7-Th, PSBTBT and PBDTTPD, and obtained the corresponding spectral-mismatch factors (MMFs) under various reference cell/solar simulator combinations. Generally, there still exists +/- 25% spectral error even for a simulator whose spectrum grade is labeled as AAA. The best way to accurately evaluate the power conversion efficiencies (PCEs) of LBG polymers is by choosing a combination of a spectral-matched-silicon-solar-cell (match to LBG polymer's spectral responsivity spectrum) and a Class AAA solar simulator. Furthermore, our results could provide guidance for the accurate measurements of organic molecules, perovskites, and related photovoltaic technologies.
机译:随着聚合物太阳能电池(PSC)的发展,具有各种带隙的新型光伏聚合物的准确评估是一个值得关注的重要问题,也是世界上各个研究实验室都需要解决的重要问题。在这项工作中,我们通过采用一些最有效和最著名的低带隙(LBG)聚合物来关注PSC,例如PBDTTT-CT,PBDTBDD,PDPP3T,PTB7-Th,PSBTBT和PBDTTPD。各种参考像元/太阳能模拟器组合下的对应光谱不匹配因子(MMF)。通常,即使对于频谱等级标记为AAA的模拟器,仍然存在+/- 25%的频谱误差。准确评估LBG聚合物的功率转换效率(PCE)的最佳方法是选择光谱匹配的硅太阳能电池(与LBG聚合物的光谱响应光谱匹配)和AAA级太阳模拟器。此外,我们的结果可为准确测量有机分子,钙钛矿和相关光伏技术提供指导。

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