The application provides a new energy battery module glue pressing area industrial CT detection method, a system and a medium, wherein the battery module comprises a battery
Edge detection is a key step for the online vision measurement of lithium battery coating (LBC). However, as the vibration and rectification in LBC production, the virtualization and curling of edges could occur. In order to improve the accuracy and efficiency of on-line measurement of LBC, this paper proposed a staged edge location method according to the production
Batteries 2023, 9, 111 4 of 16 Figure 2. Detection filters and their effect on noise (phantom defects) and real defects. 3. Results During the investigation of a high number of different
In order to ensure the safety and reliability of NEV batteries, fault detection technologies for NEV battery have been proposed and developed rapidly in last few years (Chen, Liu, Alippi, Huang, & Liu, 2022) particular, fault detection methods based on machine learning using information extracted from large amounts of new energy vehicle operational data have
In this context, the color-coding technique serves as a universal method for monitoring the health status of LIBs, offering a promising solution for scalable and cost
The architecture of YOLO[³²] is based on a) model backbone, b) model neck, and c) model head. a) Model backbone extracts the important features from the given input image.
The general detection concept is based on brightness differences in the pictures of the coating, which are filtered by the detection algorithm. The defects are categorized
The stator of a flat wire motor is the core component of new energy vehicles. However, detecting quality defects in the coating process in real-time is a challenge. Moreover, the number of defects is large, and the pixels of
Battery electrode coating is a critical process in the manufacturing of batteries, as it affects the performance, efficiency, and quality of the final product. Electrode coating involves the application of a slurry onto a
When manufacturing battery cells, various defects can occur that require detection so the product can be removed before shipping. Microscopic cracks can occur in the electrode materials or the separator,
The European Council for Automotive R&D has set targets for automotive battery energy density of 800 Wh 3.2.2 TR Detection Methods. In addition to balancing voltage
Download Citation | On Jan 1, 2024, Sara Sepasiahooyi and others published Fault Detection of New and Aged Lithium-ion Battery Cells in Electric Vehicles | Find, read and cite all the research you
Welding defect detection plays an important role in the quality control of new energy batteries. Since the traditional manual detection methods are not intelligent enough and cost a lot, many deep learning algorithms have been proposed. With the development of detection technology, the Yolo series of algorithms have been applied to various detection tasks. Focus
A more detailed overview of different methods for detecting lithium plating is given by Janakiraman et al. [28]. As the method presented in this paper is based on the work by Koleti et al. [25] it
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
Correlate in-line NDE and QC methods with systematic cell performance data of various defect types (i.e. identify defects and test electrodes with these defects in coin and
Different types of defects can be introduced into batteries during the battery manufacturing process, such as pinholes, metal particles, non-uniform coating, burrs or rips on the tab, deflected electrode, etc. [22, 26].Among all kinds of detects, the foreign matter defect (FMD) is a severe problem which can be introduced in almost every process of battery
Health monitoring and abnormality detection of power batteries for new energy vehicles has been one of the hot topics in recent years. Accurate and efficient power battery anomaly detection is crucial to ensure stable operation of the battery system and energy saving.
In order to explore fire safety of lithium battery of new energy vehicles in a tunnel, a numerical calculation model for lithium battery of new energy vehicle was established. and proposed that liquid cooling was the best method for high-capacity batteries in high-temperature environments. Anomaly detection of LiFePO4 pouch batteries
With the development of new energy technology, the battery management system (BMS) can collect more and more monitoring data, such as voltage, temperature, and so on. Kim et al. proposed an outlier mining-based fault detection method that uses a hybrid model-based battery condition monitoring algorithm to estimate the physical model
Taking full advantage of the waste graphite from spent lithium-ion batteries (LIBs) to prepare the regenerate graphite anode and reuse it in lithium-ion batteries is a crucial strategy. Herein, we design a regeneration method involving pretreatment and an amorphous carbon layer coating to repair the defects of waste graphite. Specifically, through calcined in
This is why commercial battery cells, such as those used in electric cars, have so far only run at a maximum of 4.3 volts. To solve this problem, El Kazzi and his team have developed a new method to stabilise the surface of the cathode by coating it with a thin, uniform protective layer.
The continuous progress of society has deepened people''s emphasis on the new energy economy, and the importance of safety management for New Energy Vehicle Power Batteries (NEVPB) is also increasing (He et al. 2021).Among them, fault diagnosis of power batteries is a key focus of battery safety management, and many scholars have conducted
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
The application results show that the surface defect detection system of lithium battery can accurately construct the three-dimensional model of lithium battery surface and identify the defects on the model, improving the
21. Square Winding Lithium-Ion Battery Cell with Variable Coating Density on Negative Electrode Surfaces 22. Electrode Protection Method Using Parylene Polymer Coating in Lithium-Ion Batteries 23. Manufacturing Method for Battery Cell
Download Citation | On Dec 13, 2023, Hongcheng Zhou and others published Research on precision visual inspection technology based on new energy battery manufacturing | Find, read and cite all the
A research team at the Paul Scherrer Institute PSI has developed a new sustainable process that can be used to improve the electrochemical performance of lithium-ion batteries. Initial tests of high-voltage batteries modified in this way have been successful. This method could be used to make lithium-ion batteries, for example those for electric vehicles,
The lithium-ion battery industry is undergoing a transformative shift with the advent of Dry Battery Electrode (DBE) processing. This innovative approach eliminates the need for solvent-based slurries, streamlining production and addressing both efficiency and environmental concerns. In this blog, we''ll explore how DBE technology is revolutionizing
Multiple requests from the same IP address are counted as one view. 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.
The application results show that the surface defect detection system of lithium battery can accurately construct the three-dimensional model of lithium battery surface and identify the defects on the model, improving the production quality and efficiency of lithium battery.
To qualify an automated defect detection for battery electrode production as well as to gain as much insight as possible into the processes leading to these defects and their influence on electrode performance, the best parameters for the detection as well as a good defect categorization must be developed.
As a result of these factors, coating defects such as scratches (SC), bright spots (BS), dark spots (DS), metal leakage (ML), particles (PA), and decarburization (DE) may appear on the surface of the battery electrode during the coating process, as shown in Figure 2. Figure 1. Coating process for LIBEs. Figure 2. Types of coating defects on LIBE.
The proposed method is suitable for the online real-time defect detection of LIBE coating defects in actual lithium-ion battery industrial production.
In order to identify electrode coating defects, an automated optical defect detection system (type ISRA Vision SMASH) was used. This system consists of two LED arrays and two line scan cameras with 8192 pixels each to inspect the entire coating width with a real pixel size of 35 µm × 37.5 µm.
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