AI-Controlled Hybrid Wind-Solar Charging Dock of Delivery Drones
1st M. Prakash
UG/B.E - Mechatronics
Paavai Engineering College
Namakkal, India.
mpmprakash977@gmail.com
4th Dr.R.T.Ajaykarthik
Associate Professor, Department
of Mechatronics Engineering
Paavai Engineering College
Namakkal, India.
ajaykarthik2009@gmail.com
2nd D. Sedhu
UG/B.E-Mechatronics
Paavai Engineering College
Namakkal, India.
sedhud24@gmail.com
5th Dr.D.R.P.Rajarathnam
Professor & Head, Department
of Mechatronics Engineering
Paavai Engineering College
Namakkal, India.
drprajamalathi@yahoo.co.in
3rd K. Ragul
UG/B.E-Mechatronics
Paavai Engineering College
Namakkal, India.
ragulkodimani492@gmail.com
6th R.Arunbabu
Assistant Professor, Department
of Mechatronics Engineering
Paavai Engineering College
Namakkal, India.
arunbabu92@gmail.com
Abstract— The growing need for sustainable and efficient delivery drone operations calls for advanced energy management solutions. This system leverages solar and wind renewable energy to power docking stations, creating a reliable and eco-friendly charging infrastructure. To ensure uninterrupted power, dual high-capacity batteries store surplus energy, providing a buffer during periods of low renewable generation. At the heart of the system is an AI-driven discharge optimization mechanism that intelligently manages battery usage based on real-time demand forecasts and environmental conditions. By balancing charging and discharging cycles across the two batteries, the AI extends battery life, boosts system reliability, and maintains consistent energy availability for drone operations. This intelligent control reduces maintenance costs while improving overall efficiency. In essence, this hybrid renewable energy solution with AI-based battery management delivers a resilient, sustainable, and future-ready charging network for drone delivery systems. It demonstrates how combining renewable resources with advanced AI can transform autonomous logistics, enabling greener and more reliable urban delivery.
Keywords—Artificial Intelligence, Hybrid Energy System, Wind-Solar Power, Smart Charging Dock, Autonomous Delivery Drones, Renewable Energy Integration, Energy Optimization, Sustainable Logistics, Adaptive Control System.
