New Energy Battery Defect Detection
1 Introduction. Characterized by high energy densities, wide operating voltage windows, and long service lifetimes, lithium (Li)-ion batteries (LIBs) are vital energy storage devices in new-energy vehicles … - Download [PDF]
Frontiers | Ultrasonic Tomography Study of Metal …
1 Introduction. Characterized by high energy densities, wide operating voltage windows, and long service lifetimes, lithium (Li)-ion batteries (LIBs) are vital energy storage devices in new-energy vehicles …
DGNet: An Adaptive Lightweight Defect Detection Model for New …
An end-to-end adaptive and lightweight defect detection model for the battery current collector (BCC), DGNet is proposed, which achieves higher detection …
SGNet:A Lightweight Defect Detection Model for New Energy …
In order to reduce application costs and conduct real-time detection with limited computing resources, we propose an end-to-end adaptive and lightweight defect …
Realistic fault detection of li-ion battery via dynamical deep …
Challenges in real-world EV battery fault detection. Real-world anomaly detection models can only make use of observational data from existing battery management systems (BMSs).
Detecting Battery Defects With High-Speed Microscopy
However, this rapid expansion brings an acute challenge: ensuring the integrity and safety of battery cells through meticulous defect detection. One technology to address this challenge is scanning acoustic microscopy (SAM), which can provide detailed insights into the structure of battery cells for improved defect detection.
Nondestructive Defect Detection in Battery Pouch Cells: A …
1 Introduction. The improvement of quality assurance in the production of lithium-ion battery cells is of major importance for the further development of the electromobility market and its various applications as well as for the deployment of stationary battery storage systems as a key enabler for a successful energy transition.
Welding defects on new energy batteries based on …
Request PDF | Welding defects on new energy batteries based on 2D pre-processing and improved-region-growth method in the small field of view | The assessment of welding quality in battery shell ...
Powering Up Battery Manufacturing with High-Speed Defect Detection
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, potentially leading to reduced performance and safety concerns. Inconsistent coating on electrodes can lead to short circuits or reduced …
Welding defects on new energy batteries based on 2D pre …
The assessment of welding quality in battery shell production is a crucial aspect of battery production. Battery surface reconstruction can inspect the quality of the weld instead of relying on human inspection. This paper proposes a defect detection method in the small field of view based on 2D pre-processing and an improved-region …
SGNet:A Lightweight Defect Detection Model for New Energy …
The successful deployment of the SGNet model on the embedded NVIDIA Jetson Nano platform paves the way for real-time defect detection. With a swift detection time of …
X-Ray Computed Tomography (CT) Technology for Detecting Battery Defects …
This capability is of critical importance for the identification of defects that could lead to battery failure or safety issues, and guide the optimization of LIBs with better safety and performance. ... With the continuous advancement of new energy detection technologies and the imperative to ensure the safety of energy storage systems while ...
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 …
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 …
Precision-Concentrated Battery Defect Detection Method in Real …
Hundreds of electric vehicle (EV) battery thermal runaway accidents resulting from untreated defects restrict further development of EV industry. Battery defect detection based on the abnormality of external parameters is a promising way to reduce this kind of thermal runaway accidents and protect EV consumers from fire danger. However, …
A Review on the Fault and Defect Diagnosis of Lithium …
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 …
SGCNet:
In practical industrial applications, real-time detection of battery collector tray defects with limited computational resources is a challenging task. In order to reduce the model size …
Progress and challenges in ultrasonic technology for state …
Due to the inability to directly measure the internal state of batteries, there are technical challenges in battery state estimation, defect detection, and fault diagnosis. Ultrasonic technology, as a non-invasive diagnostic method, has been widely applied in the inspection of lithium-ion batteries in recent years. ... As the severity of global ...
A Lightweight Deep Learning Algorithm for Welding Defect Detection …
The future direction of global automotive development is electrification, and the battery current collector is an essential component of new energy vehicle batteries. However, the welding defects in the battery current collector during the welding process are characterized by a disorganized distribution, extensive size variations, multiple types, …
Research on precision visual inspection technology based on new energy ...
In recent years, the lithium battery industry has been developing rapidly, and in the process of its large-scale industrialized production, the automatic defect detection technology based on machine vision has extremely important research value. Because of the complexity of the lithium battery production environment, the defect morphology is variable, the current …
The Application of Industrial CT Detection Technology in Defects ...
defect detection of lithium-ion battery using industrial CT detect ion technology has . ... In the development of new energy vehicles, the most important link is the power battery technology .
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 …
Battery defect detection for real world vehicles based on …
GDP-DLCSS is proposed for battery defect detection, the parameters of which are driven by data to avoid the subjectivity of manually defined thresholds. (3) ... The data used in this study are collected from the National Big Data Alliance of New Energy Vehicles (NDANEV). More than 13 million of these electric vehicles are connected and …
Progress and challenges in ultrasonic technology for state …
By 2030, it is anticipated that the global sales of new energy vehicles will reach 28 million units [1, 2]. Lithium-ion batteries (LIBs), renowned for their high performance, energy density, ... To enhance the accuracy of ultrasonic technology in battery defect detection, the following improvements can be considered: (1) Introducing …
A Lightweight Deep-Learning Algorithm for Welding Defect …
This article proposes a lightweight deep-learning algorithm called MGNet for detecting welding defects in the current collectors. We introduce a lightweight MDM …
Semantic segmentation supervised deep-learning algorithm for …
This paper introduces an autoencoder-enhanced regularized prototypical network for New Energy Vehicle (NEV) battery fault detection. An autoencoder is first …
3D Point Cloud-Based Lithium Battery Surface Defects …
precisely detects the affected surface of the battery. Keywords: 3D point cloud · Defects detection · Region growing proposal 1 Introduction Lithium-ion batteries have become widely used energy storage batteries due to their high energy density, low self-discharge rate, absence of memory effects, and relatively low production cost.
Lithium battery surface defect detection based on the YOLOv3 detection …
The proposed algorithm can effectively locate and classify the bottom defects of the lithium battery and can effectively locate and classify the bottom defects of the lithium battery. With the continuous development of science and technology, cylindrical lithium batteries, as new energy batteries, are widely used in many fields. In the …
DGNet: An Adaptive Lightweight Defect Detection Model for New Energy …
DGNet: An Adaptive Lightweight Defect Detection Model for New Energy Vehicle Battery Current Collector
Detecting the foreign matter defect in lithium-ion batteries based …
1. Introduction. Due to the environmental pollution, global warming and energy crisis, countries around the world are seeking to replace fuel vehicles with new energy vehicles to alleviate the resource crisis and reduce greenhouse gas emissions [1, 2].Lithium-ion battery, with the advantage of high energy density, high power density …
An end-to-end Lithium Battery Defect Detection Method Based …
Rather than the noise information on the image, so as to improve the detection ability of lithium battery surface defects. 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 battery defect data set
SGCNet: A lightweight defect detection model for new energy …
As an important component of the new energy vehicle battery, the quality of the collector tray is related to the performance of the battery and has an important impact on the life safety of the vehicle occupants. In practical industrial applications, real-time detection of battery collector tray defects with limited computational resources is a challenging task.
Powering Up Battery Manufacturing with High-Speed …
For the battery manufacturers powering the exponential growth of sectors such as electric vehicles and battery energy storage systems, testing various components for flaws before shipping is crucial …