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厦门大学 能源研究院,福建 厦门,361005
收稿日期:2013-04-18,
修回日期:2013-05-31,
纸质出版日期:2013-08-10
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陈文志, 张凤燕, 张然, 李超. 基于电致发光成像的太阳能电池缺陷检测[J]. 发光学报, 2013,34(8): 1028-1034
CHEN Wen-zhi, ZHANG Feng-yan, ZHANG Ran, LI Chao. Defect Detection of Solar Cells Based on Electroluminescence Imaging[J]. Chinese Journal of Luminescence, 2013,34(8): 1028-1034
陈文志, 张凤燕, 张然, 李超. 基于电致发光成像的太阳能电池缺陷检测[J]. 发光学报, 2013,34(8): 1028-1034 DOI: 10.3788/fgxb20133408.1028.
CHEN Wen-zhi, ZHANG Feng-yan, ZHANG Ran, LI Chao. Defect Detection of Solar Cells Based on Electroluminescence Imaging[J]. Chinese Journal of Luminescence, 2013,34(8): 1028-1034 DOI: 10.3788/fgxb20133408.1028.
为了检测太阳能电池存在的缺陷
给太阳能电池施加一定的正向偏压
利用CCD相机在暗室中探测电池的发光。 探测分别在3种状态下进行:无滤光探测、过滤800 nm以下波长后探测和过滤800 nm以上波长后探测。研究发现:只有在过滤800 nm以下波长的镜片下探测效果最好
表明电池主要发红外光
其波长范围为850~1 200 nm。控制光探测器的探测时间
发现不同探测时间下电池的发光强度不同
探测时间相同但偏压不同则光强也不同。该方法可以检测出正向偏压下电池存在的各种缺陷类型。在反向电压下
薄膜电池会出现小光点
这表示缺陷区域和密度
研究证明薄膜电池也能发红外光且薄膜中存在区域缺陷。对低功率的电池片进行光探测发现
电池存在严重缺陷。上述结果表明
红外光探测可以直观、快速、方便地检测太阳能电池存在的缺陷。
In order to detect the hidden defects of the solar cells
the eletroluminescence image was obtained by applying a certain forward bias voltage to solar cell in the darkroom using the light sensor CCD camera. The experiments were carried out at three states: without optical filter
filtering the wavelength less than 800 nm
and filtering the wavelength greater than 800 nm. It is found that the detection effect is the best only under the lens of filtration of less than 800 nm wavelength. It proves that the cell mainly emits infrared light of 850~1 200 nm. By controlling the detecting time
it is found that the light intensity is varied with the detection time
and also varied with the forward bias voltage in the same detection time. This method can detect all kinds of hidden defect type of the solar cells. Under the reverse voltage
thin film cell appears small spots which show defect area and density
and the studies prove that thin film cell also can send infrared light and the defects exist in the cell. In detecting low power cell
it is found that there are serious defects in the cell. The results show that infrared detection has rapid and convenient intuitive features for solar cells defect detection.
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