Hysteresis Transition Governed by Capacitive and Inductive Impedances in Perovskite Solar Cells
Cedric Gonzales a, Antonio Guerrero a, Juan Bisquert a
a Institute of Advanced Materials (INAM), Universitat Jaume I, Avinguda de Vicent Sos Baynat, s/n, Castelló de la Plana, Spain
International Conference on Hybrid and Organic Photovoltaics
Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV22)
València, Spain, 2022 May 19th - 25th
Organizers: Pablo Docampo, Eva Unger and Elizabeth Gibson
Poster, Cedric Gonzales, 262
Publication date: 20th April 2022

Metal halide perovskite semiconductors are known to exhibit mixed ionic-electronic conduction causing hysteresis (regular or inverted) in the current-voltage curves that leads to substantial differences in the forward and reverse scan currents.1, 2 However, perovskite solar cells can exhibit a transition from a regular (capacitive response) to an inverted (inductive response) type hysteresis in different voltage regimes. Here, we formulate a general dynamical model that allows to track the hysteresis transformation of a standard n-i-p mesoporous methylammonium lead bromide solar cell from capacitive to inductive, both by impedance spectroscopy and current-voltage measurements at different scan rates. The model enables to predict if, and when, the transformation will happen by the analysis of the voltage-dependent characteristic times. The characteristic times of the low frequency impedance features explain the strong correlation of the low frequency capacitance and inductance as both originate from the same mechanism.3 The application of the model provides a great degree of control over the kinetic properties of metal halide perovskite solar cells, including the amount and type of hysteresis that may be expected from the impedance spectroscopy measurements at a broad range of voltages. The general model can track the transformation of the low frequency capacitor into a chemical inductor, both related to ionic-controlled surface recombination process.

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