State of Charge Estimation of Lithium-ion Battery in Electric Vehicles Using the Smooth Variable Structure Filter: Robustness Evaluation against Noise and Parameters Uncertainties
Author:
Affiliation:
1. Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, LATIS- Laboratory of Advanced Technology and Intelligent Systems, Sousse, Tunisie
2. Department of Electrical Engineering, CEGEP de l’Outaouais, Gatineau, QC, Canada
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2201285
Reference41 articles.
1. Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation
2. Sampled-Data Observer for Estimating the State of Charge, State of Health, and Temperature of Batteries
3. Improved OCV Model of a Li-Ion NMC Battery for Online SOC Estimation Using the Extended Kalman Filter
4. Influence of System Layout on CM EMI Noise of SiC Electric Vehicle Powertrains
5. Evaluation of electromagnetic intrusion in brushless DC motor drive for electric vehicle applications with manifestation of mitigating the electromagnetic interference
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1. Heat Transfer Modeling and Optimal Thermal Management of Electric Vehicle Battery Systems;Energies;2024-09-12
2. High-precision state of charge estimation of electric vehicle lithium-ion battery energy storage system based on multi-scale optimized time-varying bounded smoothing variable structure filtering algorithm;Ionics;2024-07-04
3. Enhanced SVSF for SoC Estimation of Lithium Ion Batteries;2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE);2023-10-12
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