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A review of battery state estimation methods based on artificial intelligence

This M.Tech Electrical Engineering topic focuses on A review of battery state estimation methods based on artificial intelligence. It belongs to the Battery Energy Storage area within Renewable Energy Systems. The work…

Abstract This M.Tech Electrical Engineering topic focuses on A review of battery state estimation methods based on artificial intelligence. It belongs to the Battery Energy Storage area within Renewable Energy Systems. The work is suitable for research topic selection, synopsis preparation, literature review, renewable-energy modelling, MATLAB/Simulink or Python-based simulation, controller design, optimization, forecasting, energy-management analysis, and dissertation documentation. Students can use this 2023-onward research reference as the base paper and then customize the implementation using suitable renewable source data, converter topology, MPPT strategy, storage model, grid-integration method, and performance metrics.
Reference Paper A review of battery state estimation methods based on artificial intelligence
Year 2025
Domain Renewable Energy Systems
Sub-Domain Battery Energy Storage
PDF / Source Link Open Paper / PDF
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