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Battery state of charge estimation using deep learning techniques

This M.Tech Electrical Engineering topic focuses on Battery state of charge estimation using deep learning techniques. It belongs to the Battery Energy Storage area within Renewable Energy Systems. The work is suitable…

Battery Energy Storage
Abstract This M.Tech Electrical Engineering topic focuses on Battery state of charge estimation using deep learning techniques. 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 Battery state of charge estimation using deep learning techniques
Year 2024
Domain Renewable Energy Systems
Sub-Domain Battery Energy Storage
PDF / Source Link Open Paper / PDF
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