Lithium battery surface defect

3D Point Cloud-Based Lithium Battery Surface Defects ...

A 3D visual measurement system is a promising solution for detecting surface defects based on their roughness and height. This paper proposes an …

Energy storage device

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, …

Energy storage device

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 …

Energy storage device

An Automatic Defects Detection Scheme for Lithium-ion Battery …

This paper presents an automatic flaw inspection scheme for online real-time detection of the defects on the surface of lithium-ion battery electrode (LIBE) in actual industrial production. Firstly, based on the conventional methods of region extraction, ROI (region of LIBE) could be extracted from the captured LIBE original image. Secondly, in order to …

Energy storage device

An Improved Deep Learning Network Based Defect ...

The experimental results show that the proposed method can effectively detect surface multiple types defects of lithium battery pole piece, and the average recognition rate of defects reaches 98.3%, which is an effective and feasible automatic defect detection and identification method. Expand

Energy storage device

Defect and structural evolution under high-energy ion ...

The area of the amorphous layer on the surface of LiNiO 2 ... structural defects in lithium-rich layered oxide cathodes. ... stability of lithium-ion battery electrode materials under electron ...

Energy storage device

Surface Defects Detection and Identification of Lithium Battery …

In 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 ...

Energy storage device

The role of structural defects in commercial lithium-ion batteries

Introduction. 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 …

Energy storage device

Lithium battery surface defect detection based on the YOLOv3 …

With 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 this paper. Firstly, …

Energy storage device

(PDF) Deep-Learning-Based Lithium Battery Defect

for lithium battery surface defect detection. This method uses. a voxel density strategy for accelerating point cloud ﬁltering. and distinguishes defect features through clustering segmen-tation.

Energy storage device

An end-to-end Lithium Battery Defect Detection Method Based on ...

Experiments 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 …

Energy storage device

Lithium battery surface defect detection based on the YOLOv3 …

In order to accurately identify the surface defects of lithium battery, a novel defect detection approach is proposed based on improved K-Nearest Neighbor …

Energy storage device

The role of structural defects in commercial lithium-ion batteries

Structural defects in lithium-ion batteries can significantly affect their electrochemical and safe performance. Qian et al. investigate the multiscale defects in commercial 18650-type lithium-ion batteries using X-ray tomography and synchrotron-based analytical techniques, which suggests the possible degradation and failure …

Energy storage device

Research on detection algorithm of lithium battery surface defects ...

The visual detection algorithm is studied to detect the defects such as pits, rust marks and broken skin on the surface of lithium battery, specifically to design the imaging experimental platform of lithiumattery, and studies its vision detection algorithm. In the production process of lithium battery, the quality inspection requirements of lithium …

Energy storage device

Surface defect detection of cylindrical lithium-ion battery by ...

In the proposed Lithium-ion battery Surface Defect Detection (LSDD) system, an augmented dataset of multi-scale patch samples generated from a small number of lithium-ion battery images is used in the learning process of a two-stage classification scheme that aims to differentiate defect image patches of lithium-ion batteries in the first stage ...

Energy storage device

A YOLOv8-Based Approach for Real-Time Lithium-Ion …

for Real-Time Lithium-Ion Battery Electrode Defect Detection with High Accuracy. Electronics 2024, 13, 173. ... detecting surface defects of lithium batteries [12]. Presently, lithium battery ...

Energy storage device

A real-time method for detecting bottom defects of lithium …

Energy storage device

Surface Defects Detection and Identification of Lithium Battery …

PDF | In order to realize the automatic detection of surface defects of lithium battery pole piece, a method for detection and identification of surface... | Find, read and cite all the research ...

Energy storage device

Multi-task Deep Learning Based Defect Detection For Lithium Battery ...

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 …

Energy storage device

Research on detection algorithm of lithium battery surface defects ...

In this paper, the visual detection algorithm is studied to detect the defects such as pits, rust marks and broken skin on the surface of lithium battery, specifically to …

Energy storage device

The local lithium plating caused by anode crack defect in Li-ion battery

The battery tolerated only minor defects without the triggering of lithium plating. Due to the symmetry, the defect size (0.5 mm) in the model was equivalent to a defect width of 1 mm in an actual battery, in which case lithium plating still occurred. A 0.1-mm defect did not lead to lithium plating; however, such a defect was minimally …

Energy storage device

Surface Defects Detection and Identification of Lithium Battery …

The experimental results show that the proposed method in this paper can effectively detect surface multiple types defects of lithium battery pole piece, and the …

Energy storage device

Surface defect detection of cylindrical lithium-ion battery by ...

In the proposed Lithium-ion battery Surface Defect Detection (LSDD) system, an augmented dataset of multi-scale patch samples generated from a small number of …

Energy storage device

Impact of Electrode Defects on Battery Cell …

It is found that, although the impact of some defects is quite well understood, others almost completely lack an evaluation of their criticality. We finally make suggestions for further studies paving the way …

Energy storage device

NUMBERS OF MAIN TYPES OF SURFACE DEFECTS OF LITHIUM BATTERY

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 literature [11], which can effectively detect ...

Energy storage device

A YOLOv8-Based Approach for Real-Time Lithium-Ion …

Targeting the issue that the traditional target detection method has a high missing rate of minor target defects in the lithium battery electrode defect detection, this paper proposes an improved and …

Energy storage device

Deep-Learning-Based Lithium Battery Defect Detection via Cross …

Energy storage device

Few-shot learning approach for 3D defect detection in lithium battery

Detecting the lithium battery surface defects is a difficult task due to the illumination reflection from the surface. To overcome the issue related to labeling and training big data by using 2D ...

Energy storage device

Lithium battery surface defect

3D Point Cloud-Based Lithium Battery Surface Defects ...

Deep-Learning-Based Lithium Battery Defect Detection via Cross …

Deep-Learning-Based Lithium Battery Defect Detection via Cross …

An Automatic Defects Detection Scheme for Lithium-ion Battery …

An Improved Deep Learning Network Based Defect ...

Defect and structural evolution under high-energy ion ...

Surface Defects Detection and Identification of Lithium Battery …

The role of structural defects in commercial lithium-ion batteries

Lithium battery surface defect detection based on the YOLOv3 …

(PDF) Deep-Learning-Based Lithium Battery Defect

An end-to-end Lithium Battery Defect Detection Method Based on ...

Lithium battery surface defect detection based on the YOLOv3 …

The role of structural defects in commercial lithium-ion batteries

Research on detection algorithm of lithium battery surface defects ...

Surface defect detection of cylindrical lithium-ion battery by ...

A YOLOv8-Based Approach for Real-Time Lithium-Ion …

A real-time method for detecting bottom defects of lithium …

Surface Defects Detection and Identification of Lithium Battery …

Multi-task Deep Learning Based Defect Detection For Lithium Battery ...

Research on detection algorithm of lithium battery surface defects ...

The local lithium plating caused by anode crack defect in Li-ion battery

Surface Defects Detection and Identification of Lithium Battery …

Surface defect detection of cylindrical lithium-ion battery by ...

Impact of Electrode Defects on Battery Cell …

NUMBERS OF MAIN TYPES OF SURFACE DEFECTS OF LITHIUM BATTERY

A YOLOv8-Based Approach for Real-Time Lithium-Ion …

Deep-Learning-Based Lithium Battery Defect Detection via Cross …

Few-shot learning approach for 3D defect detection in lithium battery

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