Research on the current status of lithium battery defect detection
Research on detection algorithm of lithium battery surface defects based …
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 design the imaging experimental platform of lithium battery; use different lighting schemes to
Rechargeable lithium-ion cell state of charge and defect detection …
Diagnosing state of charge. Figure 1 shows the schematic of the setup for pouch-cell imaging and the associated magnetic field map obtained from a fully charged Li-ion pouch cell. Only the ...
Research papers Battery defect detection for real world vehicles …
In addition, the current power battery defect detection is mostly based on equipment testing after production and recall, which does not make good use of actual data [37]. To this end, this paper proposes a multi-layer fault diagnosis framework based on an adaptive SOC interval extraction method (AIEM-SOC) and Gaussian-distribution …
Defects Detection of Lithium-Ion Battery Electrode Coatings …
Aiming 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 …
Ultrasonic detection of pre-existing thermal abuse in lithium-ion …
Thirdly, it outlines the current status, main technological approaches, and challenges of ultrasonic technology in battery defect and fault diagnosis, including defect detection, lithium plating, gassing, battery wetting, and thermal runaway early warning, revealing the diversity and potential applicability of ultrasonics in battery research.
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 multi-feature fusion and PSO-SVM was proposed in this paper. Firstly, image subtraction and contrast adjustment were used to preprocess the defect …
An end-to-end Lithium Battery Defect Detection Method Based on Detection …
The DETR model is often affected by noise information such as complex backgrounds in the application of defect detection tasks, resulting in detection of some targets is ignored. In this paper, AIA DETR model is proposed by adding AIA (attention in attention) module into transformer encoder part, which makes the model pay more attention to correct defect …
Surface defect detection of cylindrical lithium-ion battery by …
Surface defect detection of cylindrical lithium-ion battery by ...
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 design the imaging experimental platform of lithium battery; use different lighting schemes to design different battery positioning and extraction algorithms; use Hough ...
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 …
Lithium battery surface defect detection based on the YOLOv3 detection ...
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 …
A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery …
The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various faults are difficult to diagnose and isolate …
Applied Sciences | Free Full-Text | Surface Defect Detection Methods for Industrial Products…
Surface Defect Detection Methods for Industrial Products
Materials | Free Full-Text | Using Deep Learning to …
The 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, …
Defect detection method of lithium battery based on improved …
For the traditional algorithm to detect lithium battery defects, the missing rate is high and the speed is slow, an improved YOLOv7 algorithm was proposed. Firstly, CBAM attention mechanism is added to feature extraction part, which can enhance network''s representation ability. Secondly, in the feature fusion part, ConvNeXt …
Defect detection method of lithium battery based on improved …
The results show that the optimization algorithm can improve the accuracy and speed of the lithium battery and achieves a 92.7% detection accuracy, surpassing the original network by 2.1%. For the traditional algorithm to detect lithium battery defects, the missing rate is high and the speed is slow, an improved YOLOv7 algorithm was …
The Application of Industrial CT Detection Technology in Defects ...
[1] Zhang M. F. 2020 Impact of new energy vehicles on automobile manufacturing technology and equipment Southern Agricultural Machinery 51 187 Google Scholar [2] Zhang S., Liu Z. G., Wang M. G. et al 2021 Key technology research of power lithium battery into testing unit Manufacturing Automation 4 35-38 Google Scholar [3] Liu …
Batteries | Free Full-Text | Coating Defects of Lithium-Ion Battery Electrodes and Their Inline Detection …
In 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 …
Rechargeable lithium-ion cell state of charge and …
The development of noninvasive methodology plays an important role in advancing lithium ion battery technology. Here the authors utilize the measurement of tiny magnetic field changes within a ...
Deep-Learning-Based Lithium Battery Defect Detection via
Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000. Digital Object Identifier 10.1109/ACCESS.2017.DOI Deep-Learning-Based Lithium Battery
Review of vision-based defect detection research and its …
Section 3 systematically reviews the current research status of image acquisition, image processing, and analysis methods for machine vision-based PCB defect detection along with an explanation of the standard evaluation indicators and data sets.
Ultrasonic Tomography Study of Metal Defect Detection in Lithium-Ion Battery …
A separator was used to separate the defects on the cathode and anode surfaces. However, because this separator was relatively thin, the two sets of defects can be essentially considered to be located at the same depth in the battery. Table 1 summarizes the materials used to prepare the battery sample and their corresponding …
Research on detection algorithm of lithium battery surface defects based …
Due to the poor working conditions of defect identi cation, direct identi cation approaches for surface defect detection are hard to be checked permanently and e ciently, so many indirect identi ...
UltrasonicTomographyStudyofMetal Defect Detection in Lithium-Ion Battery
UltrasonicTomographyStudyofMetal Defect Detection in Lithium-Ion Battery Mengchao Yi1,2, Fachao Jiang1*, Languang Lu2*, Sixuan Hou3, Jianqiao Ren4, Xuebing Han2 and ...
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