MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202511131211 A) filed by Poornima University; Dr. Deepen Banoriya; Mr. Hemant Kumar Upadhyay; and Dr. Aditi Khandal, Jaipur, Rajasthan, on Dec. 24, 2025, for 'adaptive scheduling and control system for electric vehicles using dynamic priority-based algorithms.'
Inventor(s) include Dr. Deepen Banoriya; Mr. Hemant Kumar Upadhyay; and Dr. Aditi Khandal.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "An adaptive scheduling and control system for electric vehicles is made available, which is designed to optimise energy consumption by means of a new dynamic algorithm. The system addresses the inefficiency of the current EV power supply by going beyond simple static timetables. It integrates multiple real-time data streams, such as the battery status of the vehicle, the intended route of the driver, live traffic updates, detailed information on road gradients and fluctuating electricity prices. A central processing unit, which may be cloud-based, runs an algorithm based on priority, continuously evaluating and ranking potential actions such as charging, charging to the grid or adjusting power consumption. These scores are updated dynamically as conditions under which the driver drives and as external factors change. The most priority action at any given moment is selected to create an optimal, real-time power schedule, which is then executed by the electric motor controller. This invention offers significant advantages, including the reduction of energy costs for users, alleviation of grid congestion through intelligent load distribution, enhancement of the vehicle's operational range, and extension of battery life by preventing overload. This comprehensive, data-driven strategy represents a novel advancement in the domain of smart energy management for vehicles."
Disclaimer: Curated by HT Syndication.
