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A Fast 3D System for AR Film Thickness Measurement of Single Crystalline Silicon Solar Cells

机译:用于单晶硅太阳能电池增透膜厚度测量的快速3D系统

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For increasing marketing competence, silicon solar cell manufacturers have adopted optical inspection techniques in production lines to perform product classification and statistical process analysis. The product classification is based on overall photoelectric conversion efficiency of the solar cell itself. Two factors directly influence the overall photoelectric conversion efficiency of the solar cell, i.e., composed materials and anti-reflection (AR) film coating on substrate. Since film thickness variation of the AR layer will induce color change on the surface of solar cell, a cost-effective three dimensional (3D) system is proposed to perform fast AR film thickness measurement of single silicon crystalline solar cells. The proposed system first uses a color CCD to capture the red-green-blue color image of inspected single silicon crystalline solar cell, and transforms it to hue-saturation-lightness image format. And then the area and boundary of different hue-value images are calculated and sorted with the image thresholding and label operation. Besides, with the corresponding measurement procedure on specified hue-value regions of using a precise height measurement instrument, such as the wavelength scanning profiler, the regression equation between the hue value and AR film thickness is obtained, and then implemented into the proposed 3D system to perform large area scanning AR film thickness measurement of single silicon crystalline solar cells. Compared to the optical ellipsometry, the measurement speed of the proposed system is fast. It take only 0.1 seconds to finish the AR film thickness measurement of a 12.5 cm × 12.5 cm solar-cell image, and the measurement accuracy can reach 3 nm.
机译:为了提高营销能力,硅太阳能电池制造商在生产线中采用了光学检测技术来执行产品分类和统计过程分析。产品分类基于太阳能电池本身的整体光电转换效率。有两个因素直接影响太阳能电池的整体光电转换效率,即,构成材料和基板上的抗反射(AR)膜涂层。由于AR层的膜厚变化会引起太阳能电池表面的颜色变化,因此,提出了一种具有成本效益的三维(3D)系统来对单晶硅太阳能电池进行快速的AR膜厚测量。拟议的系统首先使用彩色CCD捕获被检查的单晶硅太阳能电池的红-绿-蓝彩色图像,并将其转换为色相-饱和度-亮度图像格式。然后计算不同色相值图像的面积和边界,并通过图像阈值和标签操作对其进行排序。此外,利用特定的色相值区域的相应测量程序,使用精确的高度测量仪器(例如波长扫描轮廓仪),获得了色相值与AR膜厚度之间的回归方程,然后将其实现到所提出的3D系统中进行单晶硅太阳能电池的大面积扫描增透膜厚度测量。与光学椭偏仪相比,该系统的测量速度快。只需花费0.1秒即可完成12.5 cm×12.5 cm太阳电池图像的增透膜厚度测量,测量精度可达3 nm。

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