Review on State of charge prediction of battery management system in electric vehicles
Alagar Karthick
2025Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering16 citationsDOI
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.
Topics & Concepts
State of chargeBattery (electricity)Software deploymentRenewable energyAutomotive engineeringEnergy storageVariety (cybernetics)Energy (signal processing)State (computer science)Computer scienceEngineeringEnergy managementElectric vehicleField (mathematics)Battery storageSustainable energyCharge (physics)Lead–acid batteryElectrical engineeringReliability engineeringEnergy consumptionSystem on a chipAdvanced Battery Technologies ResearchElectric and Hybrid Vehicle TechnologiesElectric Vehicles and Infrastructure