A novel approach for surface defect detection of lithium battery …
Surface defects of lithium batteries seriously affect the product quality and may lead to safety risks. In order to accurately identify the surface defects of lithium battery, a novel defect detection approach is proposed based on improved K-nearest neighbor (KNN) and Euclidean clustering segmentation. Firstly, an improved voxel density strategy for KNN is …
Air-Coupled Ultrasound Sealing Integrity Inspection Using Leaky …
Inspecting the sealing integrity of lead tabs is an important means of ensuring the reliability and safety of pouch-type lithium-ion (Li-ion) batteries with a thin multi-layered aluminum (Al) laminated film. This paper presents a new air-coupled ultrasonic non-destructive testing (NDT) inspection method based on leaky Lamb wave transmission ...
In situ detection method for Li-ion battery of separator pore …
In this study, a typical separator pore closure defect is simulated using an intentionally implanted polyethylene terephthalate tab on the anode. The effects of the lithium-ion blocking defect on the battery performance are investigated …
Lithium battery sealing detection method
The invention discloses a lithium battery sealing detection method, comprising steps of introducing inert gas to an anode and a cathode of a battery at the same time, closing a gas inlet valve...
A Few-shot Learning Method for the Defect Inspection of Lithium Battery ...
In this field, sealing nails play a vital role in the power battery of vehicles, and the industrial piece needs strict quality inspection according to its visual appearance before application. However, many difficulties exist, such as the lack of defect samples, low visibility of defects, and irregular shapes in the defect detection of ...
Few-shot learning approach for 3D defect detection in lithium battery
The height-gray transformed image For the target lithium battery as shown in Figure 1. Defining the 3D reconstruction result generated by multiple exposure fusion methods as a 3D cloud point P .
X-Ray Computed Tomography (CT) Technology for Detecting Battery …
CT is a stereoscopic imaging technology that enables three-dimensional detection of the internal structure of batteries without any blind spots, allowing for comprehensive assessment of various components such as pole plates, pole ears, coated electrode materials, and battery shells.
Lithium battery sealing detection method
The invention discloses a lithium battery sealing detection method, comprising steps of …
Deep-Learning-Based Lithium Battery Defect Detection via Cross …
This research addresses the critical challenge of classifying surface defects in lithium electronic …
Comprehensive fault diagnosis of lithium-ion batteries: An …
A lithium iron phosphate battery with a rated capacity of 1.1 Ah is used as the simulation …
Deep-Learning-Based Lithium Battery Defect Detection via Cross …
This 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 ...
Comprehensive fault diagnosis of lithium-ion batteries: An …
A lithium iron phosphate battery with a rated capacity of 1.1 Ah is used as the simulation object, and battery fault data are collected under different driving cycles. To enhance the realism of the simulation, the experimental design is based on previous studies ( Feng et al., 2018, Xiong et al., 2019, Zhang et al., 2019 ), incorporating fault fusion based on the fault characteristics.
Deep-Learning-Based Lithium Battery Defect Detection via Cross …
This 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 Iteration Learning. …
Leak Detection of Lithium-Ion Batteries and Automotive …
Using helium leak detection with lithium ion batteries. PHD-4 sniffer leak check: sniff the perimeter of the EV batteries Inject helium inside the pack Electric vehicle (EV) batteries Rigid cells, flexible pouches, and polymer cases Leak specification: No loss of electrolyte, no moisture ingress Helium equivalent: 10–6 to 10–8 atm·cm3/s Engine cooling Radiators, heater core, oil, and ...
Few-shot learning approach for 3D defect detection in lithium battery ...
The 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 limitation of …
Helium detection technology of lithium battery | bowei
Lithium Battery Helium Inspection Technology. 1.The mystery of helium leakage in lithium batteries. As a highly efficient energy storage device, lithium batteries have complex internal structures and contain several sealing components. However, even tiny helium molecules can escape the limitations of these components, leading to helium leakage ...
Lithium battery sealing detection method | Semantic Scholar
The invention discloses a lithium battery sealing detection method, comprising steps of introducing inert gas to an anode and a cathode of a battery at the same time, closing a gas inlet valve and detecting a pressure reducing rate inside a battery pack, (2) introducing a same-pressure reaction gas to the anode and the cathode of a sealing ...
A Few-shot Learning Method for the Defect Inspection of Lithium Battery ...
We discuss the relation of FCRN to the recently-introduced YOLO detector, as well as other end-to-end object detection systems based on deep learning. The resulting detection network...
A Few-shot Learning Method for the Defect Inspection of Lithium Battery ...
Sealing nails is an important safety component in the lithium battery of new energy vehicles. Sealing nails often refers to the weld body produced using laser welding technology to fill the electrolyte injection port on the metal surface. The inferior product defects in welding are manifested by their visual appearances, such as cracks, broken ...
Leak Testing Of Battery Cells By Helium Tracing | Marposs
Leak testing is a fundamental operation in the battery cell production process, in particular for the new generations of lithium-ion secondary batteries. The perfect sealing of the housing is one of the most important features to guarantee the quality and long-term reliability of the cells. On the one hand, it is essential to prevent even the smallest electrolyte losses .
Sealing
IP Ratings or Ingress Protection ratings are designed to rate and grade the resistance of enclosures of electric and electronic devices against the intrusion of dust and liquids. Plus how easy it is for individuals to access the potentially hazardous parts within the enclosure.
Air-Coupled Ultrasound Sealing Integrity Inspection …
Inspecting the sealing integrity of lead tabs is an important means of ensuring the reliability and safety of pouch-type lithium-ion (Li-ion) batteries with a thin multi-layered aluminum (Al) laminated film. This paper presents a …
3D Point Cloud-Based Lithium Battery Surface Defects Detection …
In the case of defect detection in point cloud data of lithium batteries, the features used for clustering can include the location, size, shape, and type of defects. Once the clustering algorithm has identified the different clusters of defects, each cluster can be visualized as a different color or shape in the 3D point cloud model of the battery. Figure
Image-based defect detection in lithium-ion battery electrode …
During 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 microscopy images of the sectioned …
A Few-shot Learning Method for the Defect Inspection of Lithium …
Sealing nails is an important safety component in the lithium battery of new energy vehicles. Sealing nails often refers to the weld body produced using laser welding technology to fill the electrolyte injection port on the metal surface. The inferior product defects in welding are …