Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

On the Use of Luminescence Intensity Images for Quantified Characterization of Perovskite Solar Cells: Spatial Distribution of Series Resistance

On the Use of Luminescence Intensity Images for Quantified Characterization of Perovskite Solar... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advanced Energy Materials Wiley

On the Use of Luminescence Intensity Images for Quantified Characterization of Perovskite Solar Cells: Spatial Distribution of Series Resistance

Loading next page...
 
/lp/wiley/on-the-use-of-luminescence-intensity-images-for-quantified-uvjkNYSUK6

References (49)

Publisher
Wiley
Copyright
© 2018 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim
ISSN
1614-6832
eISSN
1614-6840
DOI
10.1002/aenm.201701522
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Advanced Energy MaterialsWiley

Published: Jan 1, 2018

Keywords: ; ; ;

There are no references for this article.