Linking model and experiment - interpreting the impedance spectroscopy of perovskite solar cells
Petra Cameron a, Will Clarke c, Giles Richardson b
a Department of Chemistry, University of Bath, Claverton Down, Bath BA2 7AY, United Kingdom
b School of Mathematical Sciences, University of Southampton, Southampton, United Kingdom
c School of Mathematics & Physics, University of Portsmouth
Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV25)
Roma, Italy, 2025 May 12th - 14th
Organizers: Filippo De Angelis, Francesca Brunetti and Claudia Barolo
Oral, Petra Cameron, presentation 082
Publication date: 17th February 2025

This presentation will cover our recent work measuring and modelling the impedance spectra of a wide variety of perovskite solar cells (PSCs); and introduce the wealth of information that can be obtained from the mid- and low- frequency impedance response. The low frequency impedance response gives insight into which part of a fully operational device is limiting cell efficiency [1]; and our recent modelling suggests that the mid-frequency response may be able to rapidly predict the long-term stability of perovskite solar cells; saving time by suggesting which cells to submit for long term testing [2].

The dual electronic-ionic nature of perovskite solar cells has complicated the interpretation of almost all the standard PV characterisation techniques. For example, when ions move on the timescale of current-voltage measurements, they can act to modify carrier recombination rates and carrier extraction, influencing the shape of the response. Ions can also modify fast measurements, where the ‘frozen in’ ion distribution impacts the electronic response of the device [3]. Impedance spectroscopy is a common characterisation technique used to probe the physics of the device on different timescales. The Nyquist plots measured for PSCs show a wide variety of different shapes, and many different interpretations of these spectra can be found in the literature. We recently showed that all of these experimentally observed shapes can be reproduced by a standard three layer drift diffusion model with a single mobile ion species, without the need to invoke any exotic physics within the device [2]. Furthermore, we show that the low- and mid-frequency responses convey a wealth of information about the internal workings of the cell that can be obtained purely from shape recognition of the Nyquist plot without any modelling expertise. More recently we have looked at the effect of cell degradation (in the form of an increasing recombination rate) on the impedance spectrum, and the results suggest that impedance is a powerful tool for rapidly predicting the long term stability of perovskite solar cells.

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