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Spatially Resolved Performance Analysis for Perovskite Solar Cells

机译:钙钛矿太阳能电池的空间解决性能分析

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Abstract This review explores the current state of the art in spatially resolved characterization of mixed‐halide perovskite solar cells. As the size of perovskite cells and modules continues to grow, quantification of the spatial distribution of key cell parameters will become increasingly valuable in predicting ultimate cell‐level performance and tracking process homogeneity. Here, both high resolution microscopic approaches using scanning techniques and camera‐based methods for full‐area cell and/or module analysis are discussed. The value of this local data in predicting performance losses at the cell level is particularly emphasized. Measurable physical parameters sensitive to losses of voltage, current, fill factor, and efficiency are discussed together with selected experimental results. It is demonstrated that a combination of spatially resolved cell parameter mapping/imaging can be used to quantitatively discriminate various loss contributions at high resolution. The impact and control of inhomogeneities become particularly important when upscaling from small devices to large formats compatible with industrial mass production.
机译:摘要本综述探讨了在空间解决混合卤化卤化钙太阳能电池的特征中的现有技术状态。随着钙钛矿细胞和模块的尺寸继续生长,在预测最终的细胞级性能和跟踪过程均匀性时,关键电池参数的空间分布的量化将变得越来越有价值。这里,讨论了使用扫描技术和基于相机的用于全面积小区和/或模块分析的高分辨率微观方法。特别强调,在预测细胞级的性能损失时,该本地数据的值尤其得到。与所选实验结果一起讨论了对电压,电流,填充因子和效率损失敏感的可测量物理参数。据证明,空间分辨的小区参数映射/成像的组合可用于以高分辨率定量区分各种损耗贡献。当从小型设备到与工业批量生产兼容的大型格式上升时,不均匀性的影响和控制变得尤为重要。

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