| Issue |
EPJ Web Conf.
Volume 330, 2025
The 5th International Conference on Electrical Sciences and Technologies in the Maghreb (CISTEM 2024)
|
|
|---|---|---|
| Article Number | 07003 | |
| Number of page(s) | 7 | |
| Section | Energy Transmission, Storage and Management | |
| DOI | https://doi.org/10.1051/epjconf/202533007003 | |
| Published online | 30 June 2025 | |
https://doi.org/10.1051/epjconf/202533007003
Overview of Techniques for State of Charge Estimation in Lithium-Ion Batteries and Future Directions
LSIB Laboratory, FST, Hassan II University of Casablanca, Mohammedia 28806, Morocco
* Corresponding author: nidale.errifai@gmail.com
Published online: 30 June 2025
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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