Abstract: After the welding process of Lithium battery tabs, it is necessary to detect the surface defects of the welded products. The Gap is one of the common defects, and the defect forms are changeable, which brings a great challenge to the detection. This paper proposes a lithium battery tab gap defect technology based on multi-task deep learning …
About Photovoltaic Energy StorageBecause of their power density, lithium-ion batteries as used by electric vehicles (EV) are subject to strict quality monitoring. Industrial computed tomography (CT) increasingly is being used to …
About Photovoltaic Energy StorageDefective regions in battery materials often generate excess or non-uniform heat profiles during operation. Here, we discuss lock-in thermography as a high-sensitivity, spatially-resolved, and non-destructive technique to characterize defects and guide the targeted ...
About Photovoltaic Energy StorageSurface Defect Detection Methods for Industrial Products
About Photovoltaic Energy StorageThe Application of Industrial CT Detection Technology in Defects inspection of lithium Ion Battery, Shuai Hu, Jiankang Xu, Mengchuan Lv, Zhengbing Zhu, Jusheng Jia, Weiquan Li, Wenxiang Weng [1] Zhang M. F. 2020 Impact of new energy vehicles on automobile manufacturing technology and equipment Southern Agricultural …
About Photovoltaic Energy StorageTomography Study of Metal Defect Detection in Lithium-Ion Battery. Front. Energy Res. 9:806929. doi: 10.3389/fenrg.2021.806929
About Photovoltaic Energy StorageThis research addresses the critical challenge of classifying surface defects in lithium electronic components, crucial for ensuring the reliability and safety of lithium batteries. With a scarcity of specific defect data, we introduce an innovative Cross-Domain Generalization (CDG) approach, incorporating Cross-domain Augmentation, Multi-task Learning, and …
About Photovoltaic Energy StorageA 3D visual measurement system is a promising solution for detecting surface defects based on their roughness and height. This paper proposes an integrated approach to …
About Photovoltaic Energy StorageIn order to reduce the cost of lithium-ion batteries, production scrap has to be minimized. The reliable detection of electrode defects allows for a quality control and fast operator reaction in ideal closed control loops and a well-founded decision regarding whether a piece of electrode is scrap. A widely used inline system for defect detection is …
About Photovoltaic Energy StorageISSN: 3006-2004 (Print), ISSN: 3006-0826 (Online) | Volume 2, Number 2, Year 2024
About Photovoltaic Energy StorageDeep-Learning-Based Lithium Battery Defect Detection via ...
About Photovoltaic Energy StorageA main waterline was used to transport batteries from one place to another. It is composed of three branches that are 11050 m m in length, 2550 m m in width, and 2050 m m in height (L × D × H). In order to accomplish laser welding, a laser welding machine and ...
About Photovoltaic Energy StorageThe analysis of actual electric vehicle data from three different models shows that the method proposed in this paper can accurately identify anomalous cells of …
About Photovoltaic Energy StorageRequest PDF | Image-based defect detection in lithium-ion battery electrode using convolutional neural networks | During the manufacturing of lithium-ion battery electrodes, it is difficult to ...
About Photovoltaic Energy StorageIntroduction With its advantages in high energy and power densities, long cycling span, and environmental friendliness, the lithium-ion battery (LIB) has become one of the most promising energy storage configurations for electric vehicles (EVs). 1, 2 To meet the requirements in acceleration power and endurance mileage, a large number of LIBs …
About Photovoltaic Energy StorageIn order to realize the automatic detection of surface defects of lithium battery pole piece, a method for detection and identification of surface defects of lithium battery pole piece based on multi-feature fusion and PSO-SVM was proposed in this paper. Firstly, image subtraction and contrast adjustment were used to preprocess the defect …
About Photovoltaic Energy StorageAiming to address the problems of uneven brightness and small defects of low contrast on the surface of lithium-ion battery electrode (LIBE) coatings, this study proposes a defect detection method that combines background reconstruction with an enhanced Canny algorithm. Firstly, we acquire and pre-process the electrode coating …
About Photovoltaic Energy StorageExperiments show that AIA DETR model can well detect the defect target of lithium battery, effectively reduce the missed detection problem, and reach 81.9% AP in the lithium …
About Photovoltaic Energy StorageThe multi-exposure-based structured light method is introduced to reconstruct the 3D shape of the lithium battery using the MiniImageNet datasets as the source domain to pretrain the Cross-Domain Few-Shot Learning (CD-FSL) model. Detecting the surface defects in a lithium battery with an aluminium/steel shell is a difficult task. The effect of reflectivity, the …
About Photovoltaic Energy StorageIn this work, an experimental analysis of eight interconnection topologies of six battery cells is performed using EIS based on the insertion of one cell with deviating …
About Photovoltaic Energy StorageA YOLOv8-Based Approach for Real-Time Lithium-Ion ...
About Photovoltaic Energy StorageUnfortunately, traditional methods for defect detection in battery manufacturing have encountered several challenges. Conventional techniques, such as visual inspection or basic electronic testing, often lack the precision necessary to detect minute flaws, especially those not visible to the naked eye. These methods can be labor …
About Photovoltaic Energy StorageWith the continuous development of science and technology, cylindrical lithium batteries, as new energy batteries, are widely used in many fields. In the production process of lithium batteries, various defects may occur. To detect the defects of lithium batteries, a detection algorithm based on convolutional neural networks is proposed in …
About Photovoltaic Energy StorageHundreds of electric vehicle (EV) battery thermal runaway accidents resulting from untreated defects restrict further development of EV industry. Battery defect detection based on the abnormality of external parameters is a promising way to reduce this kind of thermal runaway accidents and protect EV consumers from fire danger. However, …
About Photovoltaic Energy StorageTo address the typical structural defects that are prone to occur during the preparation and storage processes of thermal battery, experiments of battery image acquisition were …
About Photovoltaic Energy Storage1 Introduction Li-ion batteries (LIBs) have become the energy supply backbone of today''s portable electronic devices, electric vehicles and stationery (micro-)grid storage. 1, 2 The current trend of decarbonization in the mobility sector will lead to a tremendous demand and increase in Li-ion battery production. 3 Following recent …
About Photovoltaic Energy StorageThe detection of product defects is essential in quality control in manufacturing. This study surveys stateoftheart deep-learning methods in defect detection. First, we classify the defects of products, such as electronic components, pipes, welded parts, and textile materials, into categories. Second, recent mainstream techniques and …
About Photovoltaic Energy StorageNoncontact, nondestructive, ultrasonic system inspects lithium-ion battery welds. • Detection of invisible weld defects on battery cap surface • Simple but effective defect indicator developed with Lamb waves amplitude …
About Photovoltaic Energy StorageThe defect detection methodologies for lithium battery electrode plates predominantly fall into two categories: traditional defect detection algorithms and those …
About Photovoltaic Energy StorageThree types of techniques, A-scan, 2D TFM, and 3D TFM, are applied in this work and are both based on the reflection-wave-mode. The schematic diagram and detecting outcomes are shown in Fig. 1.A-scan technique is used …
About Photovoltaic Energy StorageDuring the manufacturing of lithium-ion battery electrodes, it is difficult to prevent certain types of defects, which affect the overall battery performance and lifespan. Deep learning computer vision methods were used to evaluate the quality of lithium-ion battery electrode for automated detection of microstructural defects from light …
About Photovoltaic Energy StorageSurface defect detection of cylindrical lithium-ion battery by ...
About Photovoltaic Energy StorageWe propose the utilization of YOLOv5, a Deep Learning-based object detection framework, for detection of defects early in electrode production process. …
About Photovoltaic Energy StorageCharmve/Surface-Defect-Detection
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