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Micro-Short-Circuit Diagnosis for Series-Connected Lithium-Ion Battery Packs Using Mean-Difference Model

https://doi.org/10.1109/tie.2018.2838109
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Outgoing claims: the papers this work cites, builds on, or argues with.

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SOC Estimation-Based Quasi-Sliding Mode Control for Cell Balancing in Lithium-Ion Battery Packs
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Enhancing multi-type fault diagnosis in lithium-ion battery systems: Vision transformer-based transfer learning approach
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Anomaly detection in Li-ion cells using physics-based reduced-order thermal models
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Capacity correction enhances battery health diagnosis accuracy in data loss scenarios for new energy vehicles
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2026.241367openalex-snapshot
Current distribution reconstruction in lithium-ion batteries based on high-precision magnetic field scanning
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.116663openalex-snapshot
Early warning and severity classification of lithium-ion battery internal short circuits using cosine transform and image coding
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.117664openalex-snapshot
Internal short circuit fault diagnosis for automotive lithium-ion batteries using an adaptive parameter identification model
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External short circuit and connection fault diagnosis for lithium-ion battery packs based on voltage difference variation and independent component analysis
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Model-based fault diagnosis methods for systems with stochastic process – A survey
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Research progress on typical failure mode diagnosis and early warning of power battery for NEVs
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A review of lithium ion battery failure mechanisms and fire prevention strategies
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Inconsistency identification for battery energy storage systems based on clustering-embedded low-rank representation
inferred← citeshttps://doi.org/10.1016/j.rser.2019.05.042openalex-snapshot
Propagation mechanisms and diagnosis of parameter inconsistency within Li-Ion battery packs
inferred← citeshttps://doi.org/10.1016/j.rser.2021.110790openalex-snapshot
Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review
inferred← citeshttps://doi.org/10.1016/j.rser.2024.114922openalex-snapshot
Recent advances in model-based fault diagnosis for lithium-ion batteries: A comprehensive review
inferred← citeshttps://doi.org/10.1038/s44172-025-00543-xopenalex-snapshot
Detecting faulty lithium-ion cells in large-scale parallel battery packs using current distributions
inferred← citeshttps://doi.org/10.1039/d0ta12082kopenalex-snapshot
Quantifying and modeling of stress-driven short-circuits in lithium-ion batteries in electrified vehicles
inferred← citeshttps://doi.org/10.1049/itr2.12217openalex-snapshot
Battery voltage fault diagnosis for electric vehicles considering driving condition variation
inferred← citeshttps://doi.org/10.1051/ijmqe/2024012openalex-snapshot
Optimized LSTM based on an improved sparrow search algorithm for power battery fault diagnosis in new energy vehicles
inferred← citeshttps://doi.org/10.1080/15435075.2024.2310007openalex-snapshot
Micro-short circuit fault diagnosis of lithium-ion battery based on voltage curve similarity ranking volatility
inferred← citeshttps://doi.org/10.1080/15435075.2024.2332331openalex-snapshot
Fault diagnosis of lithium-ion batteries based on wavelet packet decomposition and Manhattan average distance
inferred← citeshttps://doi.org/10.1080/15435075.2024.2376707openalex-snapshot
Fault diagnosis method for lithium-ion batteries based on the combination of voltage prediction and Z-score
inferred← citeshttps://doi.org/10.1080/15435075.2024.2422463openalex-snapshot
Fault detection method for electric vehicle battery pack based on improved kurtosis and isolation forest
inferred← citeshttps://doi.org/10.1080/15435075.2026.2638984openalex-snapshot
An integrated diagnostic framework for lithium-ion battery internal short circuits: bridging physical models with deep learning
inferred← citeshttps://doi.org/10.1088/1742-6596/3214/1/012056openalex-snapshot
Cross-domain fault diagnosis of lithium-ion batteries for real-world applications: an unsupervised partial domain adaptation approach
inferred← citeshttps://doi.org/10.1088/2631-8695/ad68c7openalex-snapshot
Evaluating fault detection strategies for lithium-ion batteries in electric vehicles
inferred← citeshttps://doi.org/10.1088/2631-8695/ae85c8openalex-snapshot
Quantitative diagnosis of internal short circuits in lithium-ion batteries based on terminal voltage during the charging stage
inferred← citeshttps://doi.org/10.1109/access.2020.2987363openalex-snapshot
Online Detection of Soft Internal Short Circuit in Lithium-Ion Batteries at Various Standard Charging Ranges
inferred← citeshttps://doi.org/10.1109/access.2020.3030260openalex-snapshot
A Novel State Estimation Approach Based on Adaptive Unscented Kalman Filter for Electric Vehicles
inferred← citeshttps://doi.org/10.1109/access.2020.3039783openalex-snapshot
An Effective Method for Estimating State of Charge of Lithium-Ion Batteries Based on an Electrochemical Model and Nernst Equation
inferred← citeshttps://doi.org/10.1109/access.2021.3052866openalex-snapshot
A Hybrid Signal-Based Fault Diagnosis Method for Lithium-Ion Batteries in Electric Vehicles
inferred← citeshttps://doi.org/10.1109/access.2021.3132223openalex-snapshot
Overview of Technical Specifications for Grid-Connected Microgrid Battery Energy Storage Systems
inferred← citeshttps://doi.org/10.1109/acpee64358.2025.11040654openalex-snapshot
Analysis of the Main Effects of Different Types and Levels of Stress on Lithium-Ion Batteries for Electrical Energy Storage
inferred← citeshttps://doi.org/10.1109/cac59555.2023.10451500openalex-snapshot
A Consistency Diagnosis Method of Series-Connected Lithium-Ion Batteries Based on Charging Curve Transformation
inferred← citeshttps://doi.org/10.1109/cieec64805.2025.11116631openalex-snapshot
A Novel Approach to Micro-Short-Circuit Fault Detection in Lithium-Ion Batteries via NGO-Optimized VMD and XGBoost Integration
inferred← citeshttps://doi.org/10.1109/conecct57959.2023.10234789openalex-snapshot
Robust Battery Data Augmentation Techniques for Reliable State-of-Charge Estimation using Contrastive Learning
inferred← citeshttps://doi.org/10.1109/cvci63518.2024.10830203openalex-snapshot
Quantitative Diagnosis of Internal Short Circuit Fault for Lithium-Ion Battery Based on Unknown Input Observer
inferred← citeshttps://doi.org/10.1109/ddcls52934.2021.9455621openalex-snapshot
Battery Fault Diagnosis Scheme Based on Improved RBF Neural Network
inferred← citeshttps://doi.org/10.1109/ecce-asia49820.2021.9479175openalex-snapshot
Online Detection of Soft Internal Short Circuits in Lithium-Ion Battery Packs by Data-Driven Cell Voltage Monitoring
inferred← citeshttps://doi.org/10.1109/ecce44975.2020.9235755openalex-snapshot
Relative Entropy based Lithium-ion Battery Pack Short Circuit Detection for Electric Vehicle
inferred← citeshttps://doi.org/10.1109/ev.2019.8892849openalex-snapshot
Voltage Fault Diagnosis of Power Batteries based on Boxplots and Gini Impurity for Electric Vehicles
inferred← citeshttps://doi.org/10.1109/ic2ecs57645.2022.10088030openalex-snapshot
Design of Civil Aircraft Lithium Battery Management System and Study of Common Failure Countermeasures
inferred← citeshttps://doi.org/10.1109/iccia54998.2022.9737186openalex-snapshot
Fault detection of Lithium-Ion Battery in Electric Vehicles Considering Ageing Effects
inferred← citeshttps://doi.org/10.1109/iciea61579.2024.10664727openalex-snapshot
ISC Fault Diagnosis and Security Monitoring for Lithium Battery Based on Voltage Variance
inferred← citeshttps://doi.org/10.1109/icpsasia58343.2023.10294619openalex-snapshot
Optimal Anomaly Threshold Selection for Monitoring Grid-Connected Lithium-Ion Battery Storage Systems
inferred← citeshttps://doi.org/10.1109/isgteurope52324.2021.9640168openalex-snapshot
Bad Cell Identification of Utility-Scale Battery Energy Storage System through Statistical Analysis of Electrical and Thermal Properties
inferred← citeshttps://doi.org/10.1109/isie.2019.8781399openalex-snapshot
A Feature Extraction Method and Its Application on Fault Diagnosis for High-Speed Train Bogie
inferred← citeshttps://doi.org/10.1109/isie45552.2021.9576348openalex-snapshot
Data-driven Thermal Anomaly Detection for Batteries using Unsupervised Shape Clustering
inferred← citeshttps://doi.org/10.1109/isie51358.2023.10227938openalex-snapshot
Degradation Detection of Series-Connected Li-ion based ESS via Time Domain Reflectometry
inferred← citeshttps://doi.org/10.1109/ismode53584.2022.9743048openalex-snapshot
Fault Detection Algorithm on Lithium-Polymer (Li-Po) Battery based on Luenberger Observer
inferred← citeshttps://doi.org/10.1109/jas.2023.123099openalex-snapshot
An Early Minor-Fault Diagnosis Method for Lithium-Ion Battery Packs Based on Unsupervised Learning
inferred← citeshttps://doi.org/10.1109/jiot.2023.3324322openalex-snapshot
Review of Lithium-Ion Battery Fault Features, Diagnosis Methods, and Diagnosis Procedures
inferred← citeshttps://doi.org/10.1109/mie.2020.2964814openalex-snapshot
Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures
inferred← citeshttps://doi.org/10.1109/safeprocess52771.2021.9693687openalex-snapshot
Fault Prediction Using LSTM for Running Gears of High-speed Trains
inferred← citeshttps://doi.org/10.1109/tie.2020.2984441openalex-snapshot
Micro-Short-Circuit Cell Fault Identification Method for Lithium-Ion Battery Packs Based on Mutual Information
inferred← citeshttps://doi.org/10.1109/tie.2021.3063968openalex-snapshot
Disturbance-Immune and Aging-Robust Internal Short Circuit Diagnostic for Lithium-Ion Battery
inferred← citeshttps://doi.org/10.1109/tie.2021.3068553openalex-snapshot
Fault Identification and Quantitative Diagnosis Method for Series-Connected Lithium-Ion Battery Packs Based on Capacity Estimation
inferred← citeshttps://doi.org/10.1109/tie.2021.3071679openalex-snapshot
An Enhanced Equivalent Circuit Model With Real-Time Parameter Identification for Battery State-of-Charge Estimation
inferred← citeshttps://doi.org/10.1109/tie.2021.3078376openalex-snapshot
State-of-Charge Estimation of Lithium-Ion Batteries Subject to Random Sensor Data Unavailability: A Recursive Filtering Approach
inferred← citeshttps://doi.org/10.1109/tie.2023.3270526openalex-snapshot
Fuzzy-Kalman-Filter-Based Short-Circuit Fault Diagnosis Design for Lithium-Ion Battery
inferred← citeshttps://doi.org/10.1109/tie.2023.3342289openalex-snapshot
Quantitative Diagnosis of Internal Short Circuit for Lithium-Ion Batteries Using Relaxation Voltage
inferred← citeshttps://doi.org/10.1109/tie.2024.3459949openalex-snapshot
A Rapid-Accurate Fault Diagnosis Method Based on Cumulative Probability Distribution for Lithium-Ion Battery Packs
inferred← citeshttps://doi.org/10.1109/tie.2025.3558083openalex-snapshot
Diagnosis of Soft External Short Circuit Faults for Lithium-Ion Battery Modules Based on Cumulative Current Integration Features
inferred← citeshttps://doi.org/10.1109/tie.2025.3577304openalex-snapshot
An Online Model-Based Diagnosis Method for Micro-Short Circuits in Series-Connected Lithium-Ion Battery Packs
inferred← citeshttps://doi.org/10.1109/tii.2024.3353872openalex-snapshot
Data-Driven Fault Diagnosis of Internal Short Circuit for Series-Connected Battery Packs Using Partial Voltage Curves
inferred← citeshttps://doi.org/10.1109/tii.2025.3556068openalex-snapshot
Deep Learning-Enabled Fault Diagnosis of Lithium-Ion Batteries Using Real-World Vehicle Data With Gramian Angular Difference Fields
inferred← citeshttps://doi.org/10.1109/tim.2025.3636656openalex-snapshot
A Lithium-Ion Battery Early-Stage Internal Short Circuit Fault Diagnosis Method Based on Discrete Probability Distribution Comparison
inferred← citeshttps://doi.org/10.1109/tmech.2023.3234770openalex-snapshot
An Early Soft Internal Short-Circuit Fault Diagnosis Method for Lithium-Ion Battery Packs in Electric Vehicles
inferred← citeshttps://doi.org/10.1109/tpel.2019.2893622openalex-snapshot
A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles
inferred← citeshttps://doi.org/10.1109/tpel.2020.2989401openalex-snapshot
Two-Step HNN-Based Pattern Recognition Combining DWT-Based Multi-Resolution Analysis for Rechargeable Cells Distinction
inferred← citeshttps://doi.org/10.1109/tpel.2020.3001020openalex-snapshot
A Novel Discharge Mode Identification Method for Series-Connected Battery Pack Online State-of-Charge Estimation Over A Wide Life Scale
inferred← citeshttps://doi.org/10.1109/tpel.2021.3098445openalex-snapshot
Multi-fault Detection and Isolation for Lithium-Ion Battery Systems
inferred← citeshttps://doi.org/10.1109/tpel.2022.3151620openalex-snapshot
A Soft Short-Circuit Diagnosis Method for Lithium-Ion Battery Packs in Electric Vehicles
inferred← citeshttps://doi.org/10.1109/tpel.2023.3265278openalex-snapshot
Power Electronics-Based Safety Enhancement Technologies for Lithium-Ion Batteries: An Overview From Battery Management Perspective
inferred← citeshttps://doi.org/10.1109/tpel.2023.3266945openalex-snapshot
Ensemble Learning-Based Correlation Coefficient Method for Robust Diagnosis of Voltage Sensor and Short-Circuit Faults in Series Battery Packs
inferred← citeshttps://doi.org/10.1109/tpel.2023.3323984openalex-snapshot
Adaptive Neural Observer for Short Circuit Fault Estimation of Lithium-Ion Batteries in Electric Vehicles
inferred← citeshttps://doi.org/10.1109/tpel.2023.3342412openalex-snapshot
An Applicable Minor Short-Circuit Fault Diagnosis Method for Automotive Lithium-Ion Batteries Based on Extremum Sample Entropy
inferred← citeshttps://doi.org/10.1109/tpel.2024.3404962openalex-snapshot
Soft Short-Circuit Fault Diagnosis for Vehicular Battery Packs With Interpretable Full-Dimensional Statistical Analytics
inferred← citeshttps://doi.org/10.1109/tpel.2024.3437159openalex-snapshot
Online Temperature Estimation for Lithium-Ion Batteries Utilizing a Single-Frequency Impedance Unaffected by Their Peripheral Circuits
inferred← citeshttps://doi.org/10.1109/tte.2020.2983846openalex-snapshot
A Practical and Comprehensive Evaluation Method for Series-Connected Battery Pack Models
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