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In cases where batteries exhibit failure symptoms such as increased internal resistance or capacity attenuation due to poor electrode contact,, or uneven electrolyte distribution caused by improper assembly or gas generation during operation, can be analyzed using industrial CT without disassembling the 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.
Furthermore, it facilitates evaluation of overall battery structure including packaging and welding outcomes. By examining internal structures and measuring cell dimensions, this technology optimizes production processes and enhances product quality.
XCT can be employed as a non-destructive method to examine these potential problems or defects, assess battery component integrity, and prevent deterioration and safety hazards associated with rechargeable LIBs.
On the other hand, CT could identify defects across all eight stacked electrodes in the soft-pack battery; however, it required approximately 12.5 hours for measurement.
A soft-pack battery with eight electrodes was utilized in the study (Fig. 9). 22 Utilizing a 15-MHz transducer in reflection mode, SAM is capable of detecting defects up to a depth of 4 electrodes within a span of 2 minutes, exhibiting a lateral resolution of 150 μ m.
The X-Panel 1613a FDI and X-Panel 3025a FQI series X-ray flat panel detectors independently developed and designed by Haobo are specially developed for the application scenarios of industrial new energy lithium battery detection. They …
Experimental results show that the proposed YOLOv5s-4Scale-DCN algorithm can effectively detect the defects of new-energy vehicle battery collection panel, with mAP up …
This paper comprehensively reviews the CT detection technology to ensure …
With a swift detection time of 0.073 seconds per image, the model meets the stringent requirements for accuracy and real-time performance in identifying battery collector tray …
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The X-Panel 1613a FDI and X-Panel 3025a FQI series X-ray flat panel detectors independently developed and designed by Haobo are specially developed for the application scenarios of …
•We propose a new challenging task named power battery detection (PBD) and construct a …
NUE leads the development and distribution of proprietary, state-of-the-art, ruggedized mobile solar+battery generator systems and industrial lithium batteries that adapt to a diverse set of the most demanding commercial and industrial …
As the ownership of new energy vehicles (NEVs) is experiencing a sustained growth, the safety of NEVs has become increasingly prominent, with power battery faults …
Solar panel power ratings are measured in Watts (W) and determined under standard test conditions (STC) at 25°C in a controlled lab environment. However, a solar panel …
Download Citation | On Dec 1, 2023, Gangfeng Sun and others published Autoencoder-Enhanced Regularized Prototypical Network for New Energy Vehicle battery fault detection | Find, read …
This paper proposes a deep convolutional neural network (DCNN) approach for battery panel …
This paper comprehensively reviews the CT detection technology to ensure the overall structure of the battery on the basis of its internal materials, cells, battery modules and …
This paper proposes a deep convolutional neural network (DCNN) approach for battery panel defect detection. The training data can be collected by taking images for battery panels from …
This paper introduces an autoencoder-enhanced regularized prototypical network for New Energy Vehicle (NEV) battery fault detection. An autoencoder is first …
Flat panel CT detection is based on the principle of projection amplification, resulting in a decrease in sample resolution as its size increases. 25 To enhance image …
Abstract: This paper introduces a new energy battery active-passive hybrid binocular intelligent inspection system, using structured light and laser line-scan instruments to acquire battery …
This paper introduces an autoencoder-enhanced regularized prototypical …