4.5 Article

Shelf lifetime analysis of organic solar cells combining frequency and time resolved techniques

Journal

SUSTAINABLE ENERGY & FUELS
Volume 5, Issue 24, Pages 6498-6508

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1se01107c

Keywords

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Funding

  1. European Union [713679]
  2. Spanish Ministerio de Ciencia, Innovacion y Universidades (MICINN/FEDER) [RTI2018-094040-B-I00]
  3. Agency for Management of University and Research Grants (AGAUR) [2017-SGR-1527]
  4. Diputacio de Tarragona [2021CM14]
  5. Catalan Institution for Research and Advanced Studies (ICREA) under the ICREA Academia Award

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The operational lifetime and degradation pathways of inverted organic solar cells (iOSCs) are crucial for their entry into the energy market. This study utilized impedance spectroscopy (IS) and photovoltage/photocurrent transient (TPV/TPC) techniques to analyze the degradation of PTB7-Th:PC70BM-based iOSCs, revealing the impact of different electron transport layers on device stability, with interface traps formation identified as the main cause of degradation.
The device operational lifetime and the understanding of the degradation pathways are critical steps for inverted organic solar cells (iOSCs) to enter the energy market. In this work, a combined study of impedance spectroscopy (IS) and photovoltage/photocurrent transient (TPV/TPC) techniques was employed to analyze the degradation of PTB7-Th:PC70BM-based iOSCs in accordance with the ISOS-D1 protocol under ambient conditions without encapsulation. Both techniques provide real information on how devices with different electron transport layers (PFN, TiOx, and ZnO) were degraded, affecting the stability of the active layer. We found that the main cause of degradation is the formation of interface traps in the dark and upon air exposure. The increase of trap density in the active layer upon degradation was revealed by TPV. The change in interface trap density due to the interfacial defect over the shelf-lifetime was further confirmed by the data from IS measurements. Last but not least, modelling dark current-voltage (J-V) using the IS data as well as the morphological changes of each ETL verified our hypothesis.

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