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On the Use of Luminescence Intensity Images for Quantified Characterization of Perovskite Solar Cells: Spatial Distribution of Series Resistance
Advanced Energy Materials ( IF 27.8 ) Pub Date : 2017-09-18 , DOI: 10.1002/aenm.201701522
Daniel Walter 1 , Yiliang Wu 1 , The Duong 1 , Jun Peng 1 , Liangcong Jiang 2 , Kean Chern Fong 1 , Klaus Weber 1
Affiliation  

Perovskite solar cells (PSCs) have made rapid advances in efficiency when fabricated as small‐area devices. A key challenge is to increase the active area while retaining high performance, which requires fast and reliable measurement techniques to spatially resolve cell properties. Luminescence imaging‐based techniques are one attractive possibility. A thermodynamic treatment of the luminescence radiation from MAPbI3 and related perovskite semiconductors predicts that the intensity of luminescence emission is proportional to the electrochemical potential in the perovskite absorber, bringing with it numerous experimental advantages. However, concerns arise about the impact of the often‐observed hysteretic behavior on the interpretation of luminescence‐based measurements. This study demonstrates that despite their hysteretic phenomena, at steady‐state perovskite solar cells are amenable to quantitative analysis of luminescence images. This is demonstrated by calculating the spatial distribution of series resistance from steady‐state photoluminescence images. This study observes good consistency between the magnitude, voltage‐dependence, and spatial distribution of series resistance calculated from luminescence images and from cell‐level current–voltage curves and uncalibrated luminescence images, respectively. This method has significant value for the development of PSC process control, design and material selection, and illustrates the possibilities for large‐area, spatially resolved, quantitative luminescence imaging‐based characterization of PSCs.

中文翻译:

使用发光强度图像定量表征钙钛矿太阳能电池:串联电阻的空间分布

钙钛矿型太阳能电池(PSC)在制造为小面积设备时效率得到了迅速提高。一个关键的挑战是在保持高性能的同时增加有效面积,这需要快速而可靠的测量技术来空间分辨电池的性能。基于发光成像的技术是一种有吸引力的可能性。MAPbI 3发光辐射的热力学处理钙钛矿半导体及其相关材料预测,发光强度与钙钛矿吸收剂中的电化学势成正比,因此具有许多实验优势。但是,人们担心经常观察到的磁滞行为会影响基于发光的测量结果的解释。这项研究表明,尽管钙钛矿型太阳能电池具有滞后现象,但它们仍可用于发光图像的定量分析。通过从稳态光致发光图像计算串联电阻的空间分布可以证明这一点。这项研究观察到幅度,电压相关性,从发光图像,电池级电流-电压曲线和未校准的发光图像分别计算出的串联电阻的空间分布和空间分布。该方法对于PSC过程控制,设计和材料选择的开发具有重要价值,并说明了基于大面积,空间分辨,定量发光成像的PSC表征的可能性。
更新日期:2017-09-18
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