Automatic Internal Wrinkles Detection of Lithium-ion Batteries using Convolutional Neural Network

To make sure the quality and reliability of lithium-ion batteries(LIBs) and improve detection speed, developing automatic defects detection to take the place of manual detection has been a general trend in the quality control lines of LIBs. In this paper, a detection method based on X-ray technology and convolutional neural network(CNN) is proposed for internal wrinkles detection in LIBs. Besides, for reducing false positive rate, loss fuction is modified by adding penalty coefficient when training CNN model. The proposed method has a nice performance in accuracy and false positive rate, and satisfies industrial requirements, and has been applied in the quality control of Lithium-ion battery production lines.