MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621065046 A) filed by Shinde Harshda Rajendra; Dr. Shaifali Tripathi; Dr. S China Venkateswarlu; Dr. Veerta Thakur; Rahul Malik; Hanumantu Krishna Murty Dora; Dr. M. Sivakami Sundari; K. Elaiyarani; and Mr. Roshan Nayak on May 23, 2026, for An Ai-Based System And Method For Electric Vehicle (ev) Charging Queue Management And Battery Optimization.
Inventors include Shinde Harshda Rajendra; Dr. Shaifali Tripathi; Dr. S China Venkateswarlu; Dr. Veerta Thakur; Rahul Malik; Hanumantu Krishna Murty Dora; Dr. M. Sivakami Sundari; K. Elaiyarani; and Mr. Roshan Nayak.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to the development of a fast adoption of electric cars is accompanied by several problems in charging stations management, such as queues and long wait times, unequal power consumption, and even degradation of batteries in electric cars. Therefore, the current invention involves an AI solution for efficient electric car charging and effective battery management. Specifically, an AI system for electric car charging queue management and battery optimization is provided herein. It takes into account real-time information on charging stations occupancy, energy storage capacity, and user preferences, and then predicts the demand for charging to create queues. Machine learning algorithms prioritize electric cars in order of their importance, health condition of their batteries, necessary power consumption levels, and even electricity price at certain stations. At the same time, the AI system provides recommendations on how to optimize charging of each battery to increase its lifespan and avoid overheating. FIG.1
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