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Energy and AI 2024年第3期17卷 513-524页

作者： Marius Singler Akshay Patil Linda Ney Andreas Lorenz Sebastian Tepner Florian Clement Fraunhofer Institute for Solar Energy Systems(ISE) Heidenhofstr.279110 FreiburgGermany EKRA Automatisierungstechnik GmbH Zeppelinstraße 1674357 BonnigheimGermany

The industrial metallization of Si solar cells predominantly relies on screen printing,with silver as the preferred electrode ***,the design of commercial screens often leads to suboptimal silver usage and increased electrical resistance due to print-related inhomogeneities like mesh marks,constrictions and ***-time monitoring of quality parameters during production has thus become increasingly *** inline optical quality control systems usually only include 2D visualizations of the printed layout,which limits their effectiveness in quality *** that allow 3D measurements are usually slow,expensive,and therefore not worth considering in most *** research focuses on the development of a model that can estimate the three-dimensional shape of printed contact fingers from a single 2D image without the need of additional hardware using deep ***,a workflow for the generation of training data,which involves the creation of image pairs from a 2D microscope and a 3D confocal laser scanning microscope(CLSM)to accurately represent solar cell fingers,is *** model training,the predicted height maps are compared with the ground truth height maps,and the robustness of the model with respect to a paste variation and screen parameter variation is *** results confirm the feasibility and reliability of deep learning-based 3D shape estimation,extending its applicability to new,previously unseen data from screen-printed contact *** a structural similarity index(SSIM)score of 0.76,a strong correlation between the estimated and ground truth height maps is *** summary,our deep learning-based approach for height map estimation offers an effective and reliable solution for fast inline detection and analysis of the cross-sectional area of the printed contact fingers.

关键词： Deep Learning front-side metallization Image2Heigth Solar cell Screen-printing

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