How measurement protocols influence the dynamic J-V characteristics of perovskite solar cells: theory and experiment

TL;DR

This paper investigates how measurement protocols affect the dynamic J-V characteristics of perovskite solar cells, highlighting the importance of proper procedures for accurate efficiency evaluation and hysteresis characterization through theory and experiments.

Contribution

It introduces a comprehensive analysis of measurement protocols using the dynamic electrical model, revealing their impact on observed hysteresis and performance metrics in perovskite solar cells.

Findings

Pre-poling and scan rate significantly influence J-V measurements.

Hysteresis type and magnitude depend on measurement conditions.

Proper bias scan sequences are essential for accurate characterization.

Abstract

The dynamic effects observed in the J-V measurements represent one important hallmark in the behavior of the perovskite solar cells. Proper measurement protocols (MPs) should be employed for the experimental data reproducibility, in particular for a reliable evaluation of the power conversion efficiency (PCE), as well as for a meaningful characterization of the type and magnitude of the hysteresis. We discuss here several MPs by comparing the experimental J-V characteristics with simulated ones using the dynamic electrical model (DEM). Pre-poling conditions and bias scan rate can have a dramatic influence not only on the apparent solar cell performance, but also on the hysteretic phenomena. Under certain measurement conditions, a hysteresis-free behavior with relatively high PCEs may be observed, although the J-V characteristics may be far away from the stationary case. Furthermore, forward-reverse and reverse-forward bias scans show qualitatively different behaviors regarding the type of the hysteresis, normal and inverted, depending on the bias pre-poling. We emphasize here that correlated forward-reverse or reverse-forward bias scans are essential for a correct assessment of the dynamic hysteresis. In this context, we define a hysteresis index which consistently assigns the hysteresis type and magnitude. Our DEM simulations, supported by experimental data, provide further guidance for an efficient and accurate determination of the stationary J-V characteristics, showing that the type and magnitude of the dynamic hysteresis may be affected by unintentional pre-conditioning in typical experiments.