A drift-diffusion model is used to investigate the effect of device degradation on current–voltage and impedance measurements of perovskite solar cells (PSCs). Modifications are made to the open-source drift-diffusion software IonMonger to model degradation via an increasing recombination rate during the course of characterization experiments. Impedance spectroscopy is shown to be a significantly more sensitive measure of degradation than current–voltage curves, reliably detecting a power conversion efficiency drop of as little as 0.06% over a 4 h measurement. Furthermore, we find that fast degradation occurring during impedance spectroscopy can induce loops lying above the axis in the Nyquist plot, the first time this experimentally observed phenomenon has been replicated in a physics-based model.

中文翻译：

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从短期测量预测长期稳定性：从电压扫描和阻抗谱期间钙钛矿太阳能电池退化建模中获得的见解


漂移-扩散模型用于研究器件退化对钙钛矿太阳能电池 （PSC） 的电流-电压和阻抗测量的影响。对开源漂移扩散软件 IonMonger 进行了修改，以在表征实验过程中通过增加的复合速率来模拟降解。阻抗谱被证明是一种比电流-电压曲线更敏感的劣化测量方法，在 4 小时的测量中能够可靠地检测到低至 0.06% 的功率转换效率下降。此外，我们发现阻抗谱过程中发生的快速衰减可以诱导位于奈奎斯特图中轴上方的回线，这是这种实验观察到的现象首次在基于物理的模型中复制。