Battery state of charge estimation using deep learning techniques — Project Overview
| 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 |
| Get Help |
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This resource helps students quickly understand the project idea, reference paper direction, and next step for implementation, synopsis, report writing, or academic documentation support.
