Predicting long-term stability from short-term measurement: insights from modeling degradation in perovskite solar cells during voltage scans and impedance spectroscopy
Predicting long-term stability from short-term measurement: insights from modeling degradation in perovskite solar cells during voltage scans and impedance spectroscopy
A drift-diffusion model is used to investigate the effect of device degradation on current–voltage and impedance measurements of perovskite solar cells (PSCs). Modifications are made to the open-source drift-diffusion software IonMonger to model degradation via an increasing recombination rate during the course of characterization experiments. Impedance spectroscopy is shown to be a significantly more sensitive measure of degradation than current–voltage curves, reliably detecting a power conversion efficiency drop of as little as 0.06% over a 4 h measurement. Furthermore, we find that fast degradation occurring during impedance spectroscopy can induce loops lying above the axis in the Nyquist plot, the first time this experimentally observed phenomenon has been replicated in a physics-based model.
Clarke, Will
b674ce92-d0a7-48ed-ad6b-2b14cdaf87ce
Cameron, Petra
12ce7a69-eecb-4aba-b2ff-80ef69ebc402
Richardson, Giles
3fd8e08f-e615-42bb-a1ff-3346c5847b91
28 November 2024
Clarke, Will
b674ce92-d0a7-48ed-ad6b-2b14cdaf87ce
Cameron, Petra
12ce7a69-eecb-4aba-b2ff-80ef69ebc402
Richardson, Giles
3fd8e08f-e615-42bb-a1ff-3346c5847b91
Clarke, Will, Cameron, Petra and Richardson, Giles
(2024)
Predicting long-term stability from short-term measurement: insights from modeling degradation in perovskite solar cells during voltage scans and impedance spectroscopy.
The Journal of Physical Chemistry Letters, 15 (47), [11730].
(doi:10.1021/acs.jpclett.4c02343).
Abstract
A drift-diffusion model is used to investigate the effect of device degradation on current–voltage and impedance measurements of perovskite solar cells (PSCs). Modifications are made to the open-source drift-diffusion software IonMonger to model degradation via an increasing recombination rate during the course of characterization experiments. Impedance spectroscopy is shown to be a significantly more sensitive measure of degradation than current–voltage curves, reliably detecting a power conversion efficiency drop of as little as 0.06% over a 4 h measurement. Furthermore, we find that fast degradation occurring during impedance spectroscopy can induce loops lying above the axis in the Nyquist plot, the first time this experimentally observed phenomenon has been replicated in a physics-based model.
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Accepted/In Press date: 13 November 2024
e-pub ahead of print date: 15 November 2024
Published date: 28 November 2024
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Local EPrints ID: 502212
URI: http://eprints.soton.ac.uk/id/eprint/502212
ISSN: 1948-7185
PURE UUID: 9826def2-1801-489a-9790-39767925e161
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Date deposited: 18 Jun 2025 16:37
Last modified: 22 Aug 2025 02:00
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Petra Cameron
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