Spatially resolved power conversion efficiency for perovskite solar cells via bias-dependent photoluminescence imaging
Abstract: Hybrid organic-inorganic perovskite solar cells (PSCs) offer a highly promising solution for achieving low-cost, high-performance photovoltaics. However, to accelerate the development of the PSC technology, it is critical to quantify local performance losses and identify problematic regions across the device. Obtaining spatially resolved information is essential not only for device fabrication but also for material optimization, particularly when scaling up the perovskite technology. In this work, we propose an imaging-based approach to spatially resolve local series resistance, power conversion efficiency (PCE), and charge-transfer efficiency across PSCs by employing bias-dependent photoluminescence (PL). By analyzing these parameters' images, we find a significant correlation between the charge-transfer efficiency and the PCE. However, we observe a weak correlation between the intensity of the PL image taken under open-circuit conditions and the final PCE of the device. This finding highlights the risk of misinterpreting the device performance if using only PL intensities. Moreover, we demonstrate the impact of the voltage-dependent series resistance on the accuracy of the device simulation. This work presents another important contribution of luminescence imaging to the research and development of the perovskite solar cells technology
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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Cell reports. - 4, 11 (2023) , 101641, ISSN: 2666-3864
- Klassifikation
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Elektrotechnik, Elektronik
- Ereignis
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Veröffentlichung
- (wo)
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Freiburg
- (wer)
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Universität
- (wann)
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2024
- Urheber
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Bui, Anh Dinh
Nguyen, Dang-Thuan
Fell, Andreas
Mozaffari, Naeimeh
Ahmad, Viqar
Duong, The
Li, Li
Truong, Thien N.
Wibowo, Ary Anggara
Nguyen, Khoa
Fischer, Oliver
Schindler, Florian
Schubert, Martin
Weber, Klaus-Josef
White, Thomas P.
Catchpole, Kylie R.
Macdonald, Daniel
Nguyen, Hieu T.
- DOI
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10.1016/j.xcrp.2023.101641
- URN
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urn:nbn:de:bsz:25-freidok-2544002
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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25.03.2025, 13:43 MEZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Bui, Anh Dinh
- Nguyen, Dang-Thuan
- Fell, Andreas
- Mozaffari, Naeimeh
- Ahmad, Viqar
- Duong, The
- Li, Li
- Truong, Thien N.
- Wibowo, Ary Anggara
- Nguyen, Khoa
- Fischer, Oliver
- Schindler, Florian
- Schubert, Martin
- Weber, Klaus-Josef
- White, Thomas P.
- Catchpole, Kylie R.
- Macdonald, Daniel
- Nguyen, Hieu T.
- Universität
Entstanden
- 2024