How much physics is in a current-voltage curve? Inferring defect properties from photovoltaic device measurements

Rachel C Kurchin, Jeremy R Poindexter, Ville Vähänissi, Hele Savin, Carlos del Cañizo, Tonio Buonassisi

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

1 Lataukset (Pure)

Abstrakti

Defect-assisted recombination processes are critical to understand, as they frequently limit photovoltaic (PV) device performance. However, the physical parameters governing these processes can be extremely challenging to measure, requiring specialized techniques and sample preparation. And yet the fact that they limit performance as measured by current-voltage (JV) characterization indicates that they must have some detectable signal in that measurement. In this work, we use numerical device models that explicitly account for these parameters with high-throughput JV measurements and Bayesian inference to construct probability distributions over recombination parameters, showing the ability to recover values consistent with previously-reported literature measurements. The Bayesian approach enables easy incorporation of data and models from other sources; we demonstrate this with temperature dependence of carrier capture cross-sections. The ability to extract these fundamental physical parameters from standardized, automated measurements on completed devices is promising for both established industrial PV technologies and newer research-stage ones.
AlkuperäiskieliEnglanti
JulkaisuIEEE Journal of Photovoltaics
TilaHyväksytty/In press - 2020
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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  • Projektit

    Fotoniikan Tutkimus ja Innovaatio

    Savin, H. & Mulbagal Rajanna, P.

    01/01/201931/12/2022

    Projekti: Academy of Finland: Other research funding

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    OtaNano

    Anna Rissanen (Manager)

    Aalto-yliopisto

    Laitteistot/tilat: Facility

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