The equivalent circuit model of a photovoltaic cell is useful for understanding device loss mechanisms as well as the design and analysis of systems using photovoltaic cells. Although nonlinear least-squares methods are routinely applied for the extraction of equivalent circuit parameters using current–voltage characteristic curves, they only yield a point estimation sensitive to the initial value and do not provide an estimation error. In this study, a data-driven approach using Bayesian estimation is proposed to extract equivalent circuit parameters. Contrary to the conventional least-squares method, this method does not require tedious initial value adjustments and provides an estimation error.

光伏电池的等效电路模型对于理解设备损耗机制以及使用光伏电池的系统的设计和分析非常有用。尽管非线性最小二乘法通常用于使用电流-电压特性曲线提取等效电路参数，但它们仅产生对初始值敏感的点估计，并且不提供估计误差。在这项研究中，提出了一种使用贝叶斯估计的数据驱动方法来提取等效电路参数。与传统的最小二乘法相反，该方法不需要繁琐的初始值调整并提供估计误差。