Review on State of charge prediction of battery management system in electric vehicles
The increasing need for effective energy storage solutions has led to the development of State of Charge (SoC) prediction in batteries as a crucial field of study and research. Accurately estimating SoC is essential for maximizing battery performance and extending longevity in a variety of applications, including grid-scale energy storage and electric car technology. The challenges and emerging approaches related to SoC prediction are examined in this abstract, which includes hybrid, data-driven, and model-based techniques. It also emphasizes how important SoC prediction is for facilitating the mass deployment of renewable energy sources and the shift to a sustainable energy future.
Authors
- Alagar Karthick (ORCID: https://orcid.org/0000-0002-0670-5138)
Institutions
- Saveetha University (IN)
Publication Details
- Journal
- Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1177/09544070251380931
- Citations
- 12
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 8.19