Consistent Device Model of a Perovskite Solar Cell for Multiple Experiments
Evelyne Knapp a, Andreas Schiller a b, Martin T. Neukom a b, Simon Züfle a b, Beat Ruhstaller a b
a Institute of Computational Physics, Zurich University of Applied Sciences (ZHAW), 8401 Winterthur (Switzerland)
b Fluxim AG, CH, Katharina-Sulzer-Platz, 2, Winterthur, Switzerland
Materials for Sustainable Development Conference (MATSUS)
Proceedings of nanoGe Fall Meeting19 (NFM19)
#PERFuDe19. Halide perovskites: when theory meets experiment from fundamentals to devices
Berlin, Germany, 2019 November 3rd - 8th
Organizers: Claudine Katan, Wolfgang Tress and Simone Meloni
Invited Speaker, Evelyne Knapp, presentation 107
DOI: https://doi.org/10.29363/nanoge.nfm.2019.107
Publication date: 18th July 2019

Drift-diffusion models enhanced with ionic transport have successfully been used to describe hysteresis in current-voltage curves, extraordinarily high low-frequency capacitance under illumination and other particularities of perovskite solar cells. Nevertheless, previous studies focus on a single experiment and its model description.

We present and discuss a variety of steady state, transient and frequency domain experiments on vacuum-deposited methyl ammonium lead iodide perovskite solar cells that are successfully reproduced by a 1D mixed ionic-electronic drift-diffusion model. Remarkably, only one single parameter set was used to simulate the nine experiments.

The comprehensive description paves the way for a quantitative understanding of perovskite solar cell devices. In the simulation, we reduce the cell to a 3-layer device that consists of the transport layers and perovskite. We discuss the impact of certain model ingredients such as ionic charges and trap states on the set of experiments, and show the limitations of the current model.

Further, we look at the upscaling of perovskite solar cells and other applications.

We acknowledge financial support from the Swiss Commission for Technology and Innovation (project PEROLEC 18468.1 PFNM-NM), from the Swiss Federal Office of Energy (SFOE, P+D project HESTPV with number SI/501417-01), from the Swiss National Science Foundation (SNSF, project PV2050 with number 153952) and from the European Union’s
research and innovation program Horizon 2020 (project CORNET with number 760949).

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