摘要
文章介绍了X-Ray光学成像技术对电芯进行OH检测、Gap检测中出现的三种场景,如图像模糊不清晰无法做出质检分辨、OH检测和Gap检测不能同时完成、超厚电芯检测异常等案例的解决方法。其中:X-Ray高动态范围图像增强算法解决了图像模糊问题;利用三维重建测量算法实现OH检测和Gap检测同步,并融合Gap特征提高了OH检测精度;针对超厚电芯在线质检,利用AI算法增加原图信息,改善图像预处理质量,增强超厚电芯极片轮廓和极片端点的特征,解决了X-Ray穿透超厚电芯出现信号衰减的问题。这些解决方法都是应用“分时频闪三维重建测量算法”来解决简单光学算法方案无法从形态上对缺陷的高度进行量化的测量的问题。
This paper introduces the solutions for three kinds of scenarios in the OH detection and Gap detection of cells by X-Ray optical imaging technology,such as the image is blurred and can not be distinguished by quality inspection,OH detection and Gap detection can not be completed at the same time,and ultra-thick cell detection is abnormal.In this paper,X-Ray high dynamic range image enhancement algorithm solves the problem of image blur.The 3D reconstruction measurement algorithm is used to realize the synchronization of OH detection and Gap detection,and it fuses Gap features to improve the OH detection precision.Aiming at the online quality inspection of ultra-thick cells,AI algorithm is used to increase the original image information,improve the quality of image preprocessing,and enhance the profile of ultra-thick cell electrode sheets and the characteristics of electrode sheet end points,and it solves the problem of signal attenuation caused by X-Ray penetration of ultrathick cells.These solution are application of“Time-sharing Stroboscopic 3D Reconstruction Measurement Algorithm”to solve the problem that the simple optical algorithm can not quantify the height of the defect morphologically.
作者
黄云龙
HUANG Yunlong(Department of Intelligent Manufacturing in CATL,Ningde 352100,China)
出处
《现代信息科技》
2024年第17期5-8,共4页
Modern Information Technology
