A reliable model for photovoltaic (PV) cell/panel is of great interest; it helps to simulate and better understand the behavior of PV systems. Consequently, better control and optimization of the system can be achieved. The most used models of PV cell/panel in literature are the one-diode (ODM) and double-diode (DDM) models. Their accuracy strongly depends on their parameters which must be obtained carefully. Optimization-based approaches are widely adopted for this purpose. In this context, this paper presents two main references studies: The first one focuses on optimization methods and their three basic elements: model, objective function and algorithm. The study highlights the improvement that can be made to the accuracy of the final I-V curve and to the CPU-time required for the extraction by choosing the right combination of the three elements. This is done through the analysis of more than 50 results obtained by different combinations of algorithms, objective functions and models applied to benchmark PV cells and panels widely used in literature. The best combinations are identified and recommended. The second is a detailed comparison and classification of 47 I-V curve estimation methods based on three different approaches: optimization techniques, analytical methods and explicit models of PV cells/panels.

光伏（PV）电池/面板的可靠模型备受关注。它有助于模拟和更好地了解光伏系统的行为。因此，可以实现更好的系统控制和优化。文献中最常用的PV电池/面板模型是一二极管（ODM）和双二极管（DDM）模型。它们的准确性在很大程度上取决于必须仔细获取的参数。为此，广泛采用基于优化的方法。在这种情况下，本文提出了两个主要的参考研究：第一个研究重点是优化方法及其三个基本要素：模型，目标函数和算法。该研究强调了通过选择三个元素的正确组合可以改善最终IV曲线的准确性以及提取所需的CPU时间的改进。这是通过分析50多种结果的分析来完成的，这些结果是通过将算法，目标函数和模型的不同组合应用到文献中广泛使用的基准PV电池和面板而获得的。确定并推荐最佳组合。第二个是基于三种不同方法的47种IV曲线估计方法的详细比较和分类：优化技术，分析方法和PV电池/面板的显式模型。目标函数和模型适用于文献中广泛使用的基准PV电池和面板。确定并推荐最佳组合。第二个是基于三种不同方法的47种IV曲线估计方法的详细比较和分类：优化技术，分析方法和PV电池/面板的显式模型。目标函数和模型适用于文献中广泛使用的基准PV电池和面板。确定并推荐最佳组合。第二个是基于三种不同方法的47种IV曲线估计方法的详细比较和分类：优化技术，分析方法和PV电池/面板的显式模型。