Computational device optimization and parameter extraction for perovskite-based solar cells

Urs Aeberhard; Martin Neukom; Andreas Schiller; Simon Zuefle; Sandra Jenatsch; Balthasar Bluelle; Stephane Altazin; Lidia Stepanova; Evelyne Knapp; Christoph Kirsch; Beat Ruhstaller

doi:10.1117/12.2545507

3 March 2020 Computational device optimization and parameter extraction for perovskite-based solar cells

Urs Aeberhard, Martin Neukom, Andreas Schiller, Simon Zuefle, Sandra Jenatsch, Balthasar Bluelle, Stephane Altazin, Lidia Stepanova, Evelyne Knapp, Christoph Kirsch, Beat Ruhstaller

Author Affiliations +

Proceedings Volume 11275, Physics, Simulation, and Photonic Engineering of Photovoltaic Devices IX; 112750B (2020) https://doi.org/10.1117/12.2545507
Event: SPIE OPTO, 2020, San Francisco, California, United States

Abstract

We present a comprehensive approach to the characterization and modeling of photovoltaic metal-halide perovskite single junction devices and perovskite-silicon tandem solar cells. The framework is based on 1D opto-electronic device simulation in steady-state and transient modes as well as frequency domain including specific features of the perovskite materials such as mobile ions, combined with a broad variety of device characterization experiments. As a salient feature, advanced optimization algorithms are used for reliable parameter extraction and opto-electronic device optimization purposes in both single junction and tandem solar cell architectures.

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Urs Aeberhard, Martin Neukom, Andreas Schiller, Simon Zuefle, Sandra Jenatsch, Balthasar Bluelle, Stephane Altazin, Lidia Stepanova, Evelyne Knapp, Christoph Kirsch, and Beat Ruhstaller "Computational device optimization and parameter extraction for perovskite-based solar cells", Proc. SPIE 11275, Physics, Simulation, and Photonic Engineering of Photovoltaic Devices IX, 112750B (3 March 2020); https://doi.org/10.1117/12.2545507

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