Lithium battery series detection


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Long-sequence voltage series forecasting for internal short circuit

Online detection of early stage internal short circuits in series-connected lithium-ion battery packs based on state-of-charge correlation

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A Consistency Diagnosis Method of Series-Connected Lithium

In this paper, a consistency diagnosis method based on charging curve transformation is utilized to diagnose capacity and SOC differences within the battery pack. Since traditional curve

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An Online Adaptive Internal Short Circuit Detection Method of Lithium

Internal short circuit (ISC) is a critical cause for the dangerous thermal runaway of lithium-ion battery (LIB); thus, the accurate early-stage detection of the ISC failure is critical

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Internal short circuit detection in Li-ion batteries using

Sheikh, M., Elmarakbi, A. & Elkady, M. Thermal runaway detection of cylindrical 18650 lithium-ion battery under quasi-static loading conditions. Journal of Power Sources 370

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Recent advances in model-based fault diagnosis for lithium-ion

In particular, we offer (1) a thorough elucidation of a general state–space representation for a

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Enhanced Wavelet Transform Dynamic Attention Transformer

Rapid advancements in electric vehicle (EV) technology have highlighted the importance of lithium-ion (Li) batteries. These batteries are essential for safety and reliability.

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Gaussian process-based online health monitoring and fault

Improving battery safety is important to safeguard life and strengthen trust in lithium-ion batteries. Schaeffer et al. develop fault probabilities based on recursive

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Fault detection of the connection of lithium-ion power batteries

Overcharge [8], over discharge [9], short circuit [10, 11] and other battery faults will cause a generation of over-heat and gas within the lithium battery, probably leading to

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Gas Characterization-based Detection of Thermal Runaway Fusion

A novel approach for real-time detection of lithium-ion battery thermal runaway has been proposed to enable the monitoring of thermal runaway states during storage,

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Fault Identification and Quantitative Diagnosis Method for Series

A reasonable threshold considering capacity change characteristics is established to initially identify the fault and for further quantitative diagnosis. The experimental results show that a

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Fault detection of the connection of lithium-ion power batteries

This paper presents a connecting fault detection method of lithium-ion power batteries in series. The cross-voltage test is adopted to distinguish contact resistance

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Lithium-ion Battery Thermal Safety by Early Internal Detection

Lithium-ion batteries (LIBs) have a profound impact on the modern industry and they are applied extensively in aircraft, electric vehicles, portable electronic devices, robotics,

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Multi-Fault Diagnosis for Series-Connected Lithium-Ion Battery

Abstract: In this paper, the multi-fault diagnosis problem is investigated for series-connected lithium-ion battery packs based on an improved correlation coefficient

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Short circuit detection in lithium-ion battery packs

Abusive lithium-ion battery operations can induce micro-short circuits, which can develop into severe short circuits and eventually thermal runaway events, a significant safety concern in

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Internal short circuit detection for lithium-ion battery pack with

DOI: 10.1016/j.jclepro.2020.120277 Corpus ID: 213338368; Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections @article{Yue2020InternalSC,

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Anomaly Detection Method for Lithium-Ion Battery Cells Based

Aiming at the phenomenon of individual battery abnormalities during the actual operation of electric vehicles, this paper proposes a lithium-ion battery anomaly detection

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Efficient Workflows for Detecting Li Depositions in Lithium-Ion Batteries

Lithium deposition on anode surfaces can lead to fast capacity degradation and decreased safety properties of Li-ion cells. To avoid the critical aging mechanism of lithium

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3D Point Cloud-Based Lithium Battery Surface Defects Detection

The 3D point cloud-based defect detection of lithium batteries used feature-based techniques to downscale the point clouds to reduce the computational cost, extracting

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Anomaly Detection Method for Lithium-Ion Battery

Vehicle #C1 consists of 96 battery cells connected in series, so each battery has a different voltage value and the same current value. Vehicle #C3 is the same as #C1, except that it is a faulty vehicle. this paper

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Recent advances in model-based fault diagnosis for lithium-ion

In particular, we offer (1) a thorough elucidation of a general state–space representation for a faulty battery model, involving the detailed formulation of the battery system state vector and

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Strategies for Intelligent Detection and Fire Suppression of Lithium

Lithium-ion batteries (LIBs) have been extensively used in electronic devices, electric vehicles, and energy storage systems due to their high energy density, environmental

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