Proceedings of MATSUS Spring 2024 Conference (MATSUS24)
DOI: https://doi.org/10.29363/nanoge.matsus.2024.392
Publication date: 18th December 2023
In typical stability studies, perovskite solar cells (PSC) are tracked at its maximum power point (MPP) under continuous or cycled illumination at elevated temperature to simulate outdoor conditions. MPP decay curves evolve differently on different device configurations, depending on the perovskite composition, the selective contact materials or even batch-to-batch variations. Having a better understanding of the complex mechanisms that cause the performance decay at different timeframes is key for the future development of PSCs. In this work we propose a non-destructive method that can be used quasi in-situ along the MPP to gain additional information on the evolution of various mechanisms that govern the device efficiency, beyond merely measure JV curves. We analyzed several PSC devices with electrochemical impedance spectroscopy (EIS) and steady-state- and time-resolved- photoluminescence (PL/TRPL) before and after different stages of its MPP tracking and show the consecutive changes of multiple parameters including shunt resistances, recombination, ionic density/kinetics and formation of barriers and propose a model on the evolution of the degradation. We also show the importance of analyzing statistically-significant number of samples to account for the intrinsic –uncontrolled- variability existing within a batch.
We thank the Project ProperPotoMile, which is supported under the umbrella of SOLAR-ERA.NET Cofund 2 by the Spanish Ministry of Science and Education and the AEI under the Project No. PCI2020-112185 and CDTI Project No. IDI-20210171. The ICN2 is currently supported by the Severo Ochoa Centers of Excellence program (Grant No. CEX2021-001214-S), funded by MCIN/AEI/10.13039.501100011033, and also funded by the CERCA Program/Generalitat de Catalunya. S.R.R. acknowledges the support from “la Caixa” Foundation (ID 100010434) with fellowship code LCF/BQ/PI20/11760024 and Grant No. PID2021-122349OA-I00 funded by MCIN/AEI/10.13039/501100011033 and “ERDF A way of making Europe.” The authors acknowledge the Spanish Ministry of Science and Innovation for the predoctoral contract to F.B. with Reference No. PRE2020-092669 of the Project No. SEV-2017-0706-20-3.
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