电容
太阳能电池
算法
磁滞
功率(物理)
稳态(化学)
电压
计算机科学
补偿(心理学)
太阳模拟器
点(几何)
生物系统
控制理论(社会学)
模拟
物理
材料科学
数学
电气工程
光电子学
化学
几何学
工程类
热力学
生物
心理学
物理化学
人工智能
精神分析
量子力学
控制(管理)
电极
作者
David Hevisov,Kai Sporleder,Marko Turek
标识
DOI:10.1016/j.solmat.2022.111628
摘要
State-of-the-art solar cell technologies, such as hetero-junction cells or PERC cells, exhibit a time-dependent deformation of their current-voltage characteristics in fast solar simulator measurements. This hysteresis effect is due to an increased internal capacitance. It manifests itself as a pronounced difference between I–V-curves depending on the measurement direction, i.e. Isc→Voc or Voc→Isc. Thus, it leads to an imprecise determination of the cell performance parameters in particular at the maximum power point. In this study, an algorithm-based correction procedure for these capacitance-induced effects is presented. Using evolutionary optimization algorithms, our correction approach allows the determination of a steady-state curve together with the extraction of all cell parameters featured in a time-dependent equivalent circuit model. It can be implemented without any hardware upgrades and applied to measurement times as low as a few milliseconds. As our basic approach is entirely independent of the underlying model, it is applicable to any solar cell technology by adapting the model under consideration.
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