COMBINED QUANTITATIVE ANALYSIS OF ELECTROLUMINESCENCE IMAGES AND LBIC MAPPINGS

机译：电致发光图像和LBIC映射的组合定量分析

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Solar cells are large area semiconductor devices. Thus, spatial information about the electronicand optical parameters is essential for process monitoring as well as for research and development.To provide a detailed analysis of the performance limiting mechanisms in a solar cell the separation ofbulk and surface effects is of major interest. Based on an approach of Basore taking advantage of differentcollection probabilities of carriers generated by near-infrared and near-band-gap light, we present amethod combining electroluminescence images and spectrally resolved light beam induced current mappingsto obtain mappings of the local base diffusion length and the local rear surface recombination velocityof crystalline silicon solar cell.

机译：太阳能电池是大面积的半导体器件。因此，关于电子的空间信息光学参数对于过程监控以及研发至关重要。为了详细分析太阳能电池的性能限制机制，体积和表面效应是主要关注的问题。基于Basore的方法，利用了不同的优势收集由近红外和近带隙光产生的载波的概率，我们提出了一个结合电致发光图像和光谱分辨光束感应电流映射的方法获得局部基础扩散长度和局部后表面复合速度的映射晶体硅太阳能电池。

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《European photovoltaic solar energy conference》|2007年|p.1673-1677|共5页
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Karsten Bothe; David Hinken; Klaus Ramspeck; Bernhard Fischer; Rolf Brendel;
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中图分类太阳能技术;太阳能电池;
关键词
luminescence imaging; diffusion length; recombination velocity;

机译：发光成像;扩散长度;复合速度;

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专利

1. Cerebral metabolic rate of oxygen (CMRO 2 2 ) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level‐dependent imaging (qBOLD) [J] . Cho Junghun, Kee Youngwook, Spincemaille Pascal, Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine . 2018,第4期

机译：通过组合定量敏感性映射（QSM）和定量血氧化水平依赖性成像（QBOLD）通过组合定量敏感性映射（QBOLD）来绘制氧气代谢速率（CMO 2 2）映射
2. Quantitative analysis of electroluminescence images from polymer solar cells [J] . Marco Seeland, Roland Roescn, Harald Hoppe Journal of Applied Physics . 2012,第2期

机译：聚合物太阳能电池电致发光图像的定量分析
3. Quantitative Electroluminescence Imaging Analysis for Performance Estimation of PID-Influenced PV Modules [J] . Karl G. Bedrich, Wei Luo, Mauro Pravettoni, Photovoltaics, IEEE Journal of . 2018,第5期

机译：定量电致发光成像分析用于影响PID的PV组件的性能评估
4. QUANTITATIVE MAPPING OF PV MODULES PERFORMANCE USING ELECTROLUMINESCENCE BASED IMAGING [C] . G. El Hajje, J. Dupuis, P. Dupeyrat European Photovoltaic Solar Energy Conference and Exhibition . 2020

机译：使用基于电致发光的成像的PV模块性能的定量映射
5. Imaging of spatial non-uniformities and the characterization of defects in photovoltaic devices using a LASER-beam-induced-current (LBIC) mapping technique. [D] . Frey, Jonathan Mack. 2006

机译：使用激光束感应电流（LBIC）映射技术对光伏设备中的空间不均匀性进行成像和缺陷表征。
6. Cerebral Metabolic Rate of Oxygen (CMRO2) Mapping by Combining Quantitative Susceptibility Mapping (QSM) and Quantitative Blood Oxygenation Level Dependent Imaging (qBOLD) [O] . Junghun Cho, Youngwook Kee, Pascal Spincemaille, -1

机译：结合定量磁化率图（QSM）和定量血氧水平依赖性成像（qBOLD）的大脑氧代谢率（CMRO2）映射
7. Cerebral metabolic rate of oxygen (CMRO2) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level-dependent imaging (qBOLD) [O] . Junghun Cho, Youngwook Kee, Pascal Spincemaille, 2018

机译：通过组合定量敏感性映射（QSM）和定量血氧水平依赖性成像（QBOLD）通过组合氧气代谢率氧气（CMOO2）映射率

COMBINED QUANTITATIVE ANALYSIS OF ELECTROLUMINESCENCE IMAGES AND LBIC MAPPINGS

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