Abstract
Chaozhi Liang, Richard Fox, Gustav Jonsson, Farzaneh Goli, Emel Aktas, Yongjing Wang
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
unpaywall
Confidence 95%
doaj
Confidence 92%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Experimental study of internal and external short circuits of commercial automotive pouch lithium-ion cells
10.1016/j.est.2018.01.015 · 2018
Fault Detection of the Electrical Motors Based on Vibration Analysis
10.1016/j.protcy.2015.02.078 · 2015
Techno-economic and environmental disassembly planning of lithium-ion electric vehicle battery packs for remanufacturing
10.1016/j.resconrec.2019.104461 · 2020
A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size
10.1016/j.ymssp.2004.10.013 · 2006
Fault diagnosis and health management of bearings in rotating equipment based on vibration analysis – a review
10.21595/jve.2021.22100 · 2022
Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities
10.1109/tia.2018.2818671 · 2018
Circular economy strategies for electric vehicle batteries reduce reliance on raw materials
10.1038/s41893-020-00607-0 · 2020
A critical review of thermal issues in lithium-ion batteries
10.1149/1.3515880 · 2011
Toward a framework for levels of robot autonomy in human-robot interaction
datacite
Confidence 0%
10.5898/jhri.3.2.beer · 2014
Sensorless speed estimation for the diagnosis of induction motors via MCSA
2021
Challenges in supply chain redesign for the Circular Economy: a literature review and a multiple case study
10.1080/00207543.2018.1542176 · 2019
Circular Economy in the WEEE industry: a systematic literature review and a research agenda
10.1016/j.spc.2020.05.007 · 2020
Real-Time Model-Based Estimation of SOC and SOH for Energy Storage Systems
10.1109/tpel.2016.2535321 · 2017
A general framework for lithium-ion battery state of health estimation: From laboratory tests to machine learning with transferability across domains
10.1016/j.apenergy.2024.125086 · 2025
Demagnetization Fault Diagnosis of a PMSM Using Auto-Encoder and K-Means Clustering
10.3390/en13174467 · 2020
State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach
10.1016/j.jpowsour.2018.06.104 · 2018
Current and position sensor fault diagnosis algorithm for PMSM drives based on robust state observer
10.1109/tie.2020.2992977 · 2021
Condition monitoring and fault diagnosis of induction motors: a review
10.1007/s11831-018-9286-z · 2019
10.1016/j.ccc.2019.06.009
10.1016/j.ccc.2019.06.009 · 2019
Unresolved referenced work
Kept as external metadata until matched
Modeling vaporization, gas generation and venting in li-ion battery cells with a dimethyl carbonate electrolyte
10.1149/2.0631709jes · 2017
From model, signal to knowledge: A data-driven perspective of fault detection and diagnosis
10.1109/tii.2013.2243743 · 2013
Analyzing electric vehicle battery health performance using supervised machine learning
10.1016/j.rser.2023.113967 · 2024
Induction machines fault detection: An overview
10.1109/mim.2021.9549228 · 2021
Review on modeling and SOC/SOH estimation of batteries for automotive applications
10.3390/batteries10010034 · 2024
Synthesize battery degradation modes via a diagnostic and prognostic model
10.1016/j.jpowsour.2012.07.016 · 2012
Pyrometallurgical Processes for the Recovery of Metals from WEEE
2016
Current trends for state-of-charge (SoC) estimation in lithium-ion battery electric vehicles
10.3390/en14113284 · 2021
Extending the electric vehicle battery first life: Performance beyond the current end of life threshold
10.1016/j.heliyon.2024.e26066 · 2024
Effectiveness analysis of pmsm motor rolling bearing fault detectors based on vibration analysis and shallow neural networks
10.3390/en14030712 · 2021
Unresolved referenced work
2012
Elucidating copper dissolution phenomenon in li-ion cells under overdischarge extremes
10.1149/2.0671809jes · 2018
Barriers to electric vehicle battery recycling in a circular economy: An interpretive structural modeling
10.1016/j.jclepro.2024.143224 · 2024
Closing the loop on circular economy in transportation electrification: reuse, repurposing, and recycling of batteries, power electronics, and electric machines
10.1109/jestie.2025.3530914 · 2025
Characterising thermal runaway within lithium-ion cells by inducing and monitoring internal short circuits
10.1039/c7ee00385d · 2017
A Sensor fault detection and isolation method in interior permanent-magnet synchronous motor drives based on an extended kalman filter
10.1109/tie.2013.2244537 · 2013
Review of battery management systems (BMS) development and industrial standards
10.3390/technologies9020028 · 2021
Mechanism of thermal runaway in lithium-ion cells
10.1149/2.0611807jes · 2018
A Survey of fault diagnosis and fault-tolerant techniques—Part I: fault diagnosis with model-based and signal-based approaches
10.1109/tie.2015.2417501 · 2015
The Circular Economy – A new sustainability paradigm?
10.1016/j.jclepro.2016.12.048 · 2017
Decision and coordination of WEEE closed-loop supply chain with risk aversion under the cap-and-trade regulation
10.1016/j.ijpe.2024.109477 · doi-reference
Influence of over-discharge on the lifetime and performance of LiFePO4 /graphite batteries
10.1039/c6ra01677d · doi-reference
Battery safety: Fault diagnosis from laboratory to real world
10.1016/j.jpowsour.2024.234111 · doi-reference
Artificial intelligence technique-based EV powertrain condition monitoring and fault diagnosis: A Review
10.1109/jsen.2023.3285531 · doi-reference
A generalized SOC-OCV model for lithium-ion batteries and the SOC Estimation for LNMCO Battery
10.3390/en9110900 · doi-reference
Metallurgical and mechanical methods for recycling of lithium-ion battery pack for electric vehicles
10.1016/j.resconrec.2018.04.025 · doi-reference
Overcharge failure investigation of lithium-ion batteries
10.1016/j.electacta.2015.07.147 · doi-reference
Innovative fault diagnosis and early warning method based on multifeature fusion model for electric vehicles
10.1016/j.est.2023.109681 · doi-reference
A review of lithium-ion battery state of health estimation and prediction methods
10.3390/wevj12030113 · doi-reference
Enabling future closed-loop recycling of spent lithium-ion batteries: direct cathode regeneration
10.1002/adma.202370259 · doi-reference
Characterization of external short circuit faults in electric vehicle Li-ion battery packs and prediction using artificial neural networks
10.1016/j.apenergy.2019.114253 · doi-reference
Variable speed induction motors’ fault detection based on transient motor current signatures analysis: A review
10.1016/j.ymssp.2022.109737 · doi-reference
Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning
10.1007/s10845-019-01522-8 · doi-reference
Towards a smarter battery management system: A critical review on battery state of health monitoring methods
10.1016/j.jpowsour.2018.10.019 · doi-reference
Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
10.1109/access.2017.2780258 · doi-reference
Sensor fault diagnosis and system reconfiguration approach for an electric traction PWM rectifier based on sliding mode observer
10.1109/tia.2017.2715816 · doi-reference
A review on battery thermal management in electric vehicle application
10.1016/j.jpowsour.2017.09.046 · doi-reference
Disassembly of electric vehicle batteries using the example of the audi Q5 hybrid system
10.1016/j.procir.2014.10.098 · doi-reference
Aqueous metal recovery techniques from e-scrap: Hydrometallurgy in recycling
10.1016/j.mineng.2011.09.019 · doi-reference
A comprehensive equivalent circuit model for lithium-ion batteries, incorporating the effects of state of health, state of charge, and temperature on model parameters
10.1016/j.est.2021.103252 · doi-reference
A review of lithium-ion battery fault diagnostic algorithms: current progress and future challenges
10.3390/a13030062 · doi-reference
Sensor fault detection and isolation for degrading lithium-ion batteries in electric vehicles using parameter estimation with recursive least squares
10.3390/batteries6010001 · doi-reference
A review of circular economy research for electric motors and the role of industry 4.0 technologies
10.3390/su13179668 · doi-reference
Lithium-ion battery health estimation with real-world data for electric vehicles
10.1016/j.energy.2023.126855 · doi-reference
Adjustable-speed drive bearing-fault detection via wavelet packet decomposition
10.1109/tim.2009.2016292 · doi-reference
A review of battery fires in electric vehicles
10.1007/s10694-019-00944-3 · doi-reference
Effect of number of features on classification of roller bearing faults using SVM and PSVM
10.1016/j.eswa.2010.09.072 · doi-reference
A PCA and two-stage bayesian sensor fusion approach for diagnosing electrical and mechanical faults in induction motors
10.1109/tie.2019.2891453 · doi-reference
Detection of permanent magnet damage of PMSM drive based on direct analysis of the stator phase currents using convolutional neural network
10.1109/tie.2022.3146557 · doi-reference
Motor current signature analysis for bearing fault detection in mechanical systems
10.1016/j.mspro.2014.07.021 · doi-reference
Adaptive nonlinear model-based fault diagnosis of li-ion batteries
10.1109/tie.2014.2336599 · doi-reference
a review of stator fault monitoring techniques of induction motors
10.1109/tec.2004.837304 · doi-reference
Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
10.1016/j.rser.2019.06.040 · doi-reference
A review to diagnose faults related to three-phase industrial induction motors
10.1007/s11668-022-01445-2 · doi-reference
Data-driven prediction of battery cycle life before capacity degradation
10.1038/s41560-019-0356-8 · doi-reference
Quantifying EV battery end-of-life through analysis of travel needs with vehicle powertrain models
10.1016/j.jpowsour.2015.01.072 · doi-reference
Challenges and opportunities of deep learning models for machinery fault detection and diagnosis: A review
10.1109/access.2019.2938227 · doi-reference
Machine learning-based data-driven fault detection/diagnosis of lithium-ion battery: A critical review
10.3390/electronics10111309 · doi-reference
Wind turbine high-speed shaft bearings health prognosis through a spectral Kurtosis-derived indices and SVR
10.1016/j.apacoust.2017.01.005 · doi-reference
A review on fault detection and diagnosis of industrial robots and multi-axis machines
10.1016/j.rineng.2024.102397 · doi-reference