SGNet:A Lightweight Defect Detection Model for New Energy …

The quality of the current collector, an essential component in new energy vehicle batteries, is crucial for battery performance and significantly impacts the safety of vehicle occupants. However, detecting defects in battery current collector in real-time industrial applications with limited computational resources poses a major challenge. To address this, our paper …

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EV battery fault diagnostics and prognostics using deep learning ...

The method achieves accurate fault diagnosis for potential battery cell failure. Also, by using the influence of the driver behavior, the method able to present …

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Lithium Plating Mechanism, Detection, and Mitigation in Lithium …

However, lifetime must be carefully taken into account because high charge current rates are usually one of the main factors that cause degradation and low performance of LIBs [11][12][13][14].

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Realistic fault detection of li-ion battery via dynamical deep …

Accurate evaluation of Li-ion battery safety conditions can reduce unexpected cell failures. Here, authors present a large-scale electric vehicle charging …

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Overview of Fault Diagnosis in New Energy Vehicle Power Battery System

An overview of fault diagnosis in new energy vehicle power battery systems, highlighting the importance of fuel consumption and carbon emission reductions.

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Research on Thermal Runaway Behavior and Early Fire Detection …

The fire safety of energy storage lithium batteries has become the key technology that most needs to make breakthroughs and improvement. During the development and evolution process of thermal runaway of power lithium ion battery, and based on the thermal runaway gas production mechanism of lithium ion batteries, the …

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DGNet: An Adaptive Lightweight Defect Detection Model for New Energy ...

Download Citation | DGNet: An Adaptive Lightweight Defect Detection Model for New Energy Vehicle Battery Current Collector | As an essential component of the new energy vehicle battery, current ...

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Mechanism, modeling, detection, and prevention of the internal …

With the increase of the specific energy of the battery system, the electrode material of LIB becomes thicker and the diaphragm becomes thinner, and the probability of ISC increases. According to the statistics in Ref. [51], 52% of battery fire accidents are caused by ISC, and 26% of battery fire accidents are caused by external SC. It can be ...

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DGNet: An Adaptive Lightweight Defect Detection Model for New …

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 …

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Anti‐interference lithium‐ion battery intelligent perception for ...

1 INTRODUCTION. With the combustion of fossil fuels, environmental pollution has become a global crisis. In order to avoid a series of consequences caused by environmental problems, China proposed the goal of "peaking carbon emissions and achieving carbon neutrality" in 2020 [], further promoting the development of renewable …

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Lithium-ion Battery Thermal Safety by Early Internal Detection ...

The new energy balance equation for the battery can be written as: ... Improving battery safety by early detection of internal shorting with a bifunctional separator. ... of lithium-ion battery ...

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Lithium dendrites in all‐solid‐state batteries: From formation to ...

Representing a contemporary paradigm in energy storage, lithium (Li) metal solid-state battery (SSB) employing a solid-state electrolyte (SSE) in lieu of conventional liquid electrolytes emerge as a viable solution to the challenges hampering significant advancements in safety and energy density. 1, 2 This efficacy arises from two …

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Mechanism, modeling, detection, and prevention of the …

EAI algorithms improve solutions to field-specific problems, such as the circle detection problem in images by using Bee Colony algorithms [29], detection of internal short circuit (ISC) within ...

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3D microstructure design of lithium-ion battery electrodes …

Improved understanding of the interplay between microstructural heterogeneities and battery performance not only helps to alleviate degradation, but also …

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Overview of Fault Diagnosis in New Energy Vehicle Power Battery …

According to statistics, 60% of fire accidents in new energy vehicles are caused by power batteries. The development of advanced fault diagnosis technology for power battery …

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Autoencoder-Enhanced Regularized Prototypical Network for New …

This paper introduces an autoencoder-enhanced regularized prototypical network for New Energy Vehicle (NEV) battery fault detection. An autoencoder is first …

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DGNet: An Adaptive Lightweight Defect Detection Model for New Energy ...

As an essential component of the new energy vehicle battery, current collectors affect the performance of battery and are crucial to the safety of passengers. The significant differences in shape and scale among defect types make it challenging for the model detection of current collector defects. In order to reduce application costs and …

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Overview of Fault Diagnosis in New Energy Vehicle Power Battery …

According to statistics, 60% of fire accidents in new energy vehicles are caused by power batteries. The development of advanced fault diagnosis technology for …

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Research on fire safety control and early warning mechanism

The safety and failure mechanisms of energy storage devices are receiving increasing attention. With the widespread application of hybrid lithium-ion supercapacitors in new energy vehicles, energy storage, and rail transit, research on their safety and safety management urgently needs to be accelerated. This study investigated …

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CN212932890U

The utility model discloses a new energy automobile battery detection mechanism, including display panel, control panel, button, inspection lid, bottom plate, detection …

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A comprehensive review of DC arc faults and their mechanisms, detection …

@article{Xu2023ACR, title={A comprehensive review of DC arc faults and their mechanisms, detection, early warning strategies, and protection in battery systems}, author={Wenqiang Xu and Xiaogang Wu and Yalun Li and Hewu Wang and Languang Lu and Minggao Ouyang}, journal={Renewable and Sustainable Energy Reviews}, …

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Recent progress on mechanism and detection of internal short

Energy Storage Science and Technology ›› 2018, Vol. 7 ›› Issue (6): 1003-1015. doi: 10.12028/j.issn.2095-4239.2018.0163. Previous Articles Next Articles Recent progress on mechanism and detection of internal short circuit in lithium-ion batteries

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(PDF) Detection Technology for Battery Safety in

(a) Schematic illustration of experimental setup [69]; (b) change in total heat release (THR) and heat release rate (HRR) peak with different immersion times (tim) [70].

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Gas Sensing Technology for the Detection and Early Warning of Battery …

The battery has internal defects The internal sprinkler system has been running for four days, but it has not been completely extinguished, and the battery is still smoldering and smoking Certain ...

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A comprehensive review of DC arc faults and their mechanisms, detection …

With the active promotion of green, low-carbon, and intelligent strategies in the energy sector, the application of battery systems such as electric vehicles and energy storage stations is becoming increasingly widespread globally. However, it has also resulted in a higher frequency of DC electrical safety incidents. DC arc faults caused by mechanical …

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A Physics–Guided Machine Learning Approach for Capacity Fading …

Lithium–ion battery development necessitates predicting capacity fading using early cycle data to minimize testing time and costs. This study introduces a hybrid physics–guided data–driven approach to address this challenge by accurately determining the dominant fading mechanism and predicting the average capacity fading rate. …

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SGNet:A Lightweight Defect Detection Model for New Energy …

SGNet (ShuffleNet V2 + G_GFPN), a lightweight model for current collector defect detection, utilizes ShuffleNet V2 as the backbone feature extraction network and a designed G_GFPN as the feature fusion network to ensure high detection accuracy while minimizing computational costs. The quality of the current collector, an essential …

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A new on-line method for lithium plating detection in lithium-ion ...

A number of studies advocate the use of lithium-ion (Li-ion) batteries, as an energy storage solution, due to their low weight, high energy density and long service life [1, 2].Within Li-ion batteries, there are many variants that employ different types of negative electrode (NE) materials such as graphite [3, 4] and lithium titanium oxide (LTO) [5, 6].

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Benchmarking the reproducibility of all-solid-state battery cell ...

The interlaboratory comparability and reproducibility of all-solid-state battery cell cycling performance are poorly understood due to the lack of standardized set-ups and assembly parameters.

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