Assessing the origins and impacts of inhomogeneities in perovskite solar cells by imaging techniques and device simulations
Sandra Jenatsch a, Urs Aeberhard a, Ennio Luigi Comi b, Davide Moia a, Matthias Diethelm a, Ralph van den Heuvel a c, Nelly Mossig a, Evelyne Knapp b, Beat Ruhstaller a b
a Fluxim AG, 8400 Winterthur, Switzerland
b Institute of Computational Physics, Zurich University of Applied Sciences (ZHAW), 8401 Winterthur (Switzerland)
c Molecular Materials and Nanosystems and Institute of Complex Molecular Systems, Eindhoven University of Technology
Proceedings of MATSUS Fall 2025 Conference (MATSUSFall25)
A.7 Simulation and Characterization of OptoElectroIonic Devices: Performance, Degradation Mechanisms and Stability - #SimChar
València, Spain, 2025 October 20th - 24th
Organizers: Pilar López Varo and Sonia R. Raga
Invited Speaker, Sandra Jenatsch, presentation 213
Publication date: 17th July 2025

Emerging photovoltaic technologies are commonly processed using solution deposition methods. Layers deposited in this way often suffer from non-uniformities in thickness and composition, resulting in locally varied cell performance. Such inhomogeneities and defects can be visualized by various imaging techniques, such as photo- and electroluminescence (PL/EL), dark and illuminated lock-in thermography, as well as optical imaging. Such non-uniformities can be challenging for upscaling emerging solar cells, as they result in performance losses and may lead to local hot-spots, which are the origin of degradation.

In this contribution, we first present EL images of carbon-based perovskite solar cells with a mesoporous layer stack which exhibit locally varying temporal evolutions. The scan-rate dependent current-voltage characteristics of perovskite solar cells and the temporal evolution of the EL signal are generally associated with the presence of mobile ions in the cell.[1] To analyse the transient EL images, we set up a device model in the drift-diffusion simulation software Setfos which quantitatively reproduces a set of steady-state and transient measurements. By employing this model, we are able to attribute the inhomogeneities in EL intensity to spatially varying ion densities. We further show how the mobile ion density influences the reverse bias breakdown behaviour in perovskite solar cells due to the strongly varying potential at layer interfaces, which facilitates tunnelling current.[2] Reverse bias conditions are imposed on shaded sub cells in modules or can be induced by current mismatch situations in monolithically stacked tandem devices. Non-uniformities caused by a spatially varying ion density and consequently reverse bias breakdown voltages result in strongly varying (reverse) bias potentials, inducing current (and temperature) hot-spots.[2]

The effect of reverse bias stressing on perovskite solar cells is further assessed by a combination of characterization techniques. To this end, cells are stressed below their breakdown voltage while the EL or PL signal is recorded. During regular intermittent measurements, current-voltage scans, impedance measurements, as well as (forward) electroluminescence images are taken to assess the underlying degradation mechanisms induced by reverse bias conditions.

Funding through the Swiss State Secretariat for Education, Research and Innovation (SERI) under grant no. 22.00379/101075605 (Horizon Europe project “SuPerTandem”), the Innosuisse projects ”AIPV” (Grant No. 58054.1 IP-EE) and "PACSTATE" (Grant No. 108.968 INT-EE) is gratefully acknowledged.

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