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.

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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
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article

Review on State of charge prediction of battery management system in electric vehicles

Alagar Karthick
12 citations
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Advanced Battery Technologies Research
8.19
article

Review on State of charge prediction of battery management system in electric vehicles

Alagar Karthick
article en
12 citations

Abstract

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.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Saveetha University (IN)
Openalex Percentile: Top 2%
Advanced Battery Technologies Research
8.19
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