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Spatially Resolved Performance Analysis for Perovskite Solar Cells
Author(s) -
Schubert Martin C.,
Mundt Laura E.,
Walter Daniel,
Fell Andreas,
Glunz Stefan W.
Publication year - 2020
Publication title -
advanced energy materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.08
H-Index - 220
eISSN - 1614-6840
pISSN - 1614-6832
DOI - 10.1002/aenm.201904001
Subject(s) - materials science , perovskite (structure) , homogeneity (statistics) , characterization (materials science) , solar cell , perovskite solar cell , voltage , image resolution , profiling (computer programming) , biological system , optoelectronics , computer science , nanotechnology , artificial intelligence , electrical engineering , chemical engineering , machine learning , engineering , biology , operating system
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.