Modeling optimization battery-based energy storage is a M.Tech project topic for Electrical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Modeling optimization battery-based energy storage Project Details
| Abstract |
Unmanned Aerial Vehicles (UAVs) have limited energy during many flight missions, so they need very efficient and fast‑responding storage systems. This research tackles that problem by modeling and optimizing battery‑based storage with equivalent electrical circuits. The model, built in MATLAB, captures how lithium‑ion batteries react electrically when flight conditions and power demands change. To reduce voltage swings and improve response under high‑load situations, the study examines a hybrid setup that adds a supercapacitor to the main Li‑ion battery. Simulations show that this hybrid arrangement keeps voltage more stable and makes the system handle aggressive operating regimes better. The paper provides a solid numerical framework for hybrid energy architectures, but testing
on actual UAV hardware is still required before real‑world use. Fried Engineers offers academic guidance and support so students can analyze, model, and simulate these hybrid storage systems for aerospace applications.
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| Reference Paper |
Modeling and optimization of battery-based energy storage systems for UAVs |
| Domain |
Electrical Engineering |
| Sub-Domain |
Renewable Energy Systems / Battery Energy Storage |
| PDF Download |
Download / View PDF |
| Get Help |
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