NTN Drone Charge
Remaining Flight Time & Accurate State of Charge Estimation for Drone Operations in Warehouses
Factsheet
- Schools involved School of Engineering and Computer Science
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Institute(s)
Institute for Energy and Mobility Research IEM
Institute for Cybersecurity & Engineering (ICE) - Research unit(s) IEM / Batteries and storage systems
- Funding organisation Others
- Duration (planned) 01.07.2025 - 31.12.2025
- Head of project Prof. Dr. Priscilla Caliandro
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Partner
Innovation Booster Robotics
Verity AG
Situation
The aim of the project is to redefine battery performance management for drones by integrating real-time state of charge (SoC) monitoring. Predictive models improve accuracy, enabling longer flight times, fewer interruptions and optimised energy consumption in automated inventory management systems.
