Overview of Techniques for State of Charge Estimation in Lithium-Ion Batteries and Future Directions

As Li-ion batteries age, estimating the exact state of charge (SOC) becomes more difficult due to the non-linear behavior of their components. Achieving precision while maintaining robustness and uncomplicated implementation remains of utmost importance. Much research in recent years has focused on...

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Main Authors: Errifai Nidale, Rachid Aziz, Boudmane Bilal, Mortabit Idriss
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2025/15/epjconf_cistem2024_07003.pdf
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author Errifai Nidale
Rachid Aziz
Boudmane Bilal
Mortabit Idriss
author_facet Errifai Nidale
Rachid Aziz
Boudmane Bilal
Mortabit Idriss
author_sort Errifai Nidale
collection DOAJ
description As Li-ion batteries age, estimating the exact state of charge (SOC) becomes more difficult due to the non-linear behavior of their components. Achieving precision while maintaining robustness and uncomplicated implementation remains of utmost importance. Much research in recent years has focused on studying and benchmarking various SOC estimation techniques tailored to commercial LiBs. This work emphasizes different SOC estimation methods, particularly model-based and AI approaches. The paper's main objective is to provide a comprehensive analysis of advanced hybrid SOC estimation techniques, a synthesized cross-analysis of the most recent studies, and a series of practical recommendations for future work.
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institution Kabale University
issn 2100-014X
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publishDate 2025-01-01
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series EPJ Web of Conferences
spelling doaj-art-1be2ff76690049bb98dfd5ea1d89bb982025-08-20T03:31:44ZengEDP SciencesEPJ Web of Conferences2100-014X2025-01-013300700310.1051/epjconf/202533007003epjconf_cistem2024_07003Overview of Techniques for State of Charge Estimation in Lithium-Ion Batteries and Future DirectionsErrifai Nidale0Rachid Aziz1Boudmane Bilal2Mortabit Idriss3LSIB Laboratory, FST, Hassan II University of CasablancaLSIB Laboratory, FST, Hassan II University of CasablancaLSIB Laboratory, FST, Hassan II University of CasablancaLSIB Laboratory, FST, Hassan II University of CasablancaAs Li-ion batteries age, estimating the exact state of charge (SOC) becomes more difficult due to the non-linear behavior of their components. Achieving precision while maintaining robustness and uncomplicated implementation remains of utmost importance. Much research in recent years has focused on studying and benchmarking various SOC estimation techniques tailored to commercial LiBs. This work emphasizes different SOC estimation methods, particularly model-based and AI approaches. The paper's main objective is to provide a comprehensive analysis of advanced hybrid SOC estimation techniques, a synthesized cross-analysis of the most recent studies, and a series of practical recommendations for future work.https://www.epj-conferences.org/articles/epjconf/pdf/2025/15/epjconf_cistem2024_07003.pdf
spellingShingle Errifai Nidale
Rachid Aziz
Boudmane Bilal
Mortabit Idriss
Overview of Techniques for State of Charge Estimation in Lithium-Ion Batteries and Future Directions
EPJ Web of Conferences
title Overview of Techniques for State of Charge Estimation in Lithium-Ion Batteries and Future Directions
title_full Overview of Techniques for State of Charge Estimation in Lithium-Ion Batteries and Future Directions
title_fullStr Overview of Techniques for State of Charge Estimation in Lithium-Ion Batteries and Future Directions
title_full_unstemmed Overview of Techniques for State of Charge Estimation in Lithium-Ion Batteries and Future Directions
title_short Overview of Techniques for State of Charge Estimation in Lithium-Ion Batteries and Future Directions
title_sort overview of techniques for state of charge estimation in lithium ion batteries and future directions
url https://www.epj-conferences.org/articles/epjconf/pdf/2025/15/epjconf_cistem2024_07003.pdf
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