Transient Analysis during Maximum Power Point Tracking (TrAMPPT) to Assess Dynamic Response of Perovskite Solar Cells

Aniela Czudek; Katrin Hirselandt; Lukas Kegelmann; Amran Al-Ashouri; Marko Jošt; Weiwei Zuo; Antonio Abate; Lars Korte; Steve Albrecht; Janardan Dagar; Eva L. Unger

arXiv · 1906.05028

Transient Analysis during Maximum Power Point Tracking (TrAMPPT) to Assess Dynamic Response of Perovskite Solar Cells

Aniela Czudek·Katrin Hirselandt·Lukas Kegelmann·Amran Al-Ashouri·Marko Jošt·Weiwei Zuo·Antonio Abate·Lars Korte·Steve Albrecht·Janardan Dagar·Eva L. Unger

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Abstract

Determination of the device performance parameters of perovskite solar cells is far from trivial as transient effects may cause large discrepancies in current-voltage measurements as a function of scan rate and pre-conditioning. Maximum power point tracking, MPPT, enables to determine the steady-state maximum power conversion efficiency. However, the MPPT does not provide any information on the device performance parameters, which are reliable only if extracted from current-voltage curves collected under steady-state conditions. We show that is possible to determine the shorter settling or delay time suitable to carry out J-V measurements under steady-state conditions by analysis of the transient device response around the MPP. This procedure proves to be more time-efficient than measurement J-V measurements at a variety of scan rates. Furthermore, the generic algorithm presented here can be implemented to assess changes in the dynamic response of devices during long-term device ageing.

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Aniela Czudek, Katrin Hirselandt, Lukas Kegelmann, Amran Al-Ashouri, Marko Jošt, Weiwei Zuo, Antonio Abate, Lars Korte, Steve Albrecht, Janardan Dagar, Eva L. Unger. 2019-06-12. Transient Analysis during Maximum Power Point Tracking (TrAMPPT) to Assess Dynamic Response of Perovskite Solar Cells. https://arxiv.org/abs/1906.05028

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