A Universal Extraction Method for Physical Parameters Applied for J-V Curves of Solar Cells

被引:1
|
作者
Wang, Zuo [1 ,2 ,3 ]
Luo, Sifei [4 ]
Tan, Jie [1 ,2 ]
Liu, Kun [2 ]
Wangyang, Peihua [1 ,2 ,5 ]
Huanglong, Sibo [6 ]
Sun, Tangyou [1 ]
Liu, Xingpeng [1 ]
Deng, Yanrong [1 ]
Li, Haiou [1 ]
机构
[1] Guilin Univ Elect Technol, Guangxi Key Lab Precis Nav Technol & Applicat, Guilin 541004, Peoples R China
[2] Chengdu Univ Informat Technol, Coll Optoelect Technol, Chengdu 610054, Peoples R China
[3] South China Normal Univ, Sch Phys & Telecommun Engn, Guangzhou 510006, Peoples R China
[4] South China Normal Univ, Sch Chem, Guangzhou 510006, Peoples R China
[5] Univ Elect Sci & Technol China, Elect Thin Film & Integrated Devices, Chengdu 610054, Peoples R China
[6] Australian Natl Univ, Res Sch Phys & Engn, Dept Elect Mat Engn, Canberra, ACT 2601, Australia
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Physical parameter; diode model; solar cell; least squares method; LEARNING-BASED OPTIMIZATION; MODEL PARAMETERS; DIODE;
D O I
10.1007/s11664-022-09588-6
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, we discuss a straightforward method of parameter extraction, which was used in two back-to-back connected Schottky diodes previously. We verified the universality and feasibility of this method by extracting the solar cell parameters from J to V curves. This method provides a flexible approach to extract parameters of some complex models that are impracticable using other methods. In addition, we discussed the authenticity problem for parameter extraction and its widely used solution, deforming the formula by using some approximation to make the object parameter the slope or intercept. We argued that it is necessary to analyze how the error transformed into the deductive curve, which is generally overlooked. Moreover, we illustrated the defect of the ordinary least squares method under the absolute least squares criterion. Under some conditions, such as when the point under larger coordinates has a larger error, it is more accurate to use the least squares method under the relative least-squares criterion.
引用
收藏
页码:2843 / 2855
页数:13
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