MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611052066 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on April 23, for 'ai-driven solar-powered e-bike sharing system for sustainable urban mobility and working method thereof.'
Inventor(s) include Garvit Id Bhatia; Ishika; Siddhartha; and Dr. Rupa Rani.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-driven solar-powered e-bike sharing system (100) for sustainable urban mobility and a working method thereof. The system comprises an artificial intelligence prediction engine (110) utilizing a Gated Graph Convolutional Neural Network for generating station-level demand forecasts, a solar energy generation and management module (120) for renewable energy harvesting and storage, a plurality of IoT-enabled e-bike units (130), docking and charging stations (140), and a cloud-based control infrastructure (150) interconnected through a communication network (170). The system dynamically optimizes charging schedules, energy allocation, and fleet distribution based on predicted demand and real-time data. The invention enables efficient utilization of solar energy, reduces dependency on grid power, improves availability of e-bikes, and minimizes carbon emissions, thereby providing a scalable, energy-efficient, and intelligent urban mobility solution."
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