Internal quantum efficiency analysis of solar cell by genetic algorithm

被引：11
|
作者：
Xiong, Kanglin [1 ,2 ]
Lu, Shulong [2 ]
Zhou, Taofei [2 ]
Jiang, Desheng [1 ]
Wang, Rongxin [2 ]
Qiu, Kai [2 ]
Dong, Jianrong [2 ]
Yang, Hui [1 ,2 ]
机构：
[1] Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China
[2] Chinese Acad Sci, Suzhou Inst Nanotech & Nanobion, Suzhou 215125, Peoples R China
来源：
SOLAR ENERGY | 2010年 / 84卷 / 11期
关键词：
Internal quantum efficiency; Surface recombination; Genetic algorithm; Full spectra;
D O I：
10.1016/j.solener.2010.05.013
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
To investigate factors limiting the performance of a GaAs solar cell, genetic algorithm is employed to fit the experimentally measured internal quantum efficiency (IQE) in the full spectra range. The device parameters such as diffusion lengths and surface recombination velocities are extracted. Electron beam induced current (EBIC) is performed in the base region of the cell with obtained diffusion length agreeing with the fit result. The advantage of genetic algorithm is illustrated. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1888 / 1891
页数：4
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