X-ray radiography-based fault detection and prediction for battery cells

• Main Authors: SCHMITZ ERIC WILHELM, BRUDER DANIEL, MCGOVERN MEGAN E, WAGNER SEAN R, WEGNER DIANA M, AHMED, TAHIR
• Format: Patent
• Language: Chinese; English
• Published: 22.03.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention relates to X-ray radiography-based fault detection and prediction for battery cells. A method for detecting defects in a battery cell includes receiving an X-ray radiographic image of the battery cell and segmenting the X-ray radiographic image into regions of interest using a classifier. The method includes processing the segmented X-ray radiographic image using a classifier to identify features of the battery cell, detecting, using the classifier, whether one or more of the features in the processed X-ray radiographic image is defective, and determining, using a classifier, whether the battery cell is defective based on whether one or more of the features in the processed X-ray radiographic image is defective. 用于电池单元的基于X射线放射摄影的故障检测和预测。一种用于检测电池单元中的缺陷的方法包括接收电池单元的X射线放射摄影图像，以及使用分类器将X射线放射摄影图像分割成感兴趣区。所述方法包括使用分类器处理分割的X射线放射摄影图像以标识电池单元的特征，使用分类器检测经处理的X射线放射摄影图像中的所述特征中的一个或多个是否有缺陷，以及基于经处理的X射线放射摄影图像中的所述特征中的一个或多个是否有缺陷，使用分类器确定电池单元是否有缺陷。