Quantifying the Spatial Distribution of Series Resistance in Monolithic Perovskite/Silicon Tandem Solar Cells Using Voltage‐Dependent Photoluminescence Imaging

To enhance the performance of monolithic perovskite/silicon tandem solar cells toward their theoretical limits and enable commercial-scale deployment, it is essential to quantify local power losses and identify their physical origins. In this study, we apply a method to extract the local tandem series resistance (LTR<sub>S</sub>), a key contributor to the performance degradation of perovskite/silicon tandem devices. The method is based on bias-voltage-dependent photoluminescence (PL) imaging under two different illumination intensities, coupled with the generalized Planck's law. Finite element simulations demonstrate the robustness of the method under a range of realistic conditions, including current mismatch, low shunt resistance, and luminescence coupling effects. When exemplarily applied to a high-efficiency perovskite/silicon tandem device with a power conversion efficiency PCE of 29%, the method reveals that approximately 1.9% absolute efficiency loss can be attributed to resistive effects. We further investigate the influence of the transient behavior of perovskites on LTR<sub>S</sub> measurements using a metastable device. The results show that, even for unstable samples, reliable estimations of LTR<sub>S</sub> can be achieved if an appropriate stabilization protocol is employed. These findings establish PL imaging as a powerful diagnostic tool for identifying performance-limiting regions and guiding the design and processing improvements of next-generation tandem photovoltaics.

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Small
Published
2026-02-27
DOI
https://doi.org/10.1002/smll.202513958
Primary Topic
Perovskite Materials and Applications
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article
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article

Quantifying the Spatial Distribution of Series Resistance in Monolithic Perovskite/Silicon Tandem Solar Cells Using Voltage‐Dependent Photoluminescence Imaging

Anh Dinh Bui, Martin C. Schubert, Stefan W. Glunz, Ary Anggara Wibowo et al.
Small
Perovskite Materials and Applications
article

Quantifying the Spatial Distribution of Series Resistance in Monolithic Perovskite/Silicon Tandem Solar Cells Using Voltage‐Dependent Photoluminescence Imaging

Anh Dinh Bui, Martin C. Schubert, Stefan W. Glunz, Ary Anggara Wibowo, Shuai Nie, Hieu T. M. Nguyen, J. M. Landgraf, Juliane Borchert, Heping Shen, Oliver Fischer, Khoa Nguyen, Yan Zhu, Wei Wang, Daniel Macdonald, Klaus Weber, Yi Hui Hou, Tanushree J B Nath
article en

Abstract

To enhance the performance of monolithic perovskite/silicon tandem solar cells toward their theoretical limits and enable commercial-scale deployment, it is essential to quantify local power losses and identify their physical origins. In this study, we apply a method to extract the local tandem series resistance (LTR<sub>S</sub>), a key contributor to the performance degradation of perovskite/silicon tandem devices. The method is based on bias-voltage-dependent photoluminescence (PL) imaging under two different illumination intensities, coupled with the generalized Planck's law. Finite element simulations demonstrate the robustness of the method under a range of realistic conditions, including current mismatch, low shunt resistance, and luminescence coupling effects. When exemplarily applied to a high-efficiency perovskite/silicon tandem device with a power conversion efficiency PCE of 29%, the method reveals that approximately 1.9% absolute efficiency loss can be attributed to resistive effects. We further investigate the influence of the transient behavior of perovskites on LTR<sub>S</sub> measurements using a metastable device. The results show that, even for unstable samples, reliable estimations of LTR<sub>S</sub> can be achieved if an appropriate stabilization protocol is employed. These findings establish PL imaging as a powerful diagnostic tool for identifying performance-limiting regions and guiding the design and processing improvements of next-generation tandem photovoltaics.

Small
Australian National University (AU), University of Freiburg (DE), UNSW Sydney (AU), Fraunhofer Institute for Solar Energy Systems (DE)
Affordable and clean energy
Openalex Percentile: Top 42%
Perovskite Materials and Applications
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