Intellectual Property India Publishes Patent Application for 'A System For Electric Vehicle Charging Station Crowd Prediction And Recommendation' Filed by Mohamed Rizwan R; and Dr. P. Padmavathy

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048145 A) filed by Mohamed Rizwan R; and Dr. P. Padmavathy, Muthupet, Tamil Nadu, on April 15, for 'a system for electric vehicle charging station crowd prediction and recommendation.'

Inventor(s) include R. Mohamed Rizwan; Dr. P. Padmavathy; Dr. M. Syed Masood; Dr. K. Javubar Sathick; Dr. G. Shree Devi; Dr. P. Amudhavalli; Dr. R. Sonia; Dr. E. Syed Mohamed; Dr. M. Mohamed Divan Masood; Dr. A. Haja Alaudeen; and Dr. T. Selvakumar.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "A system for electric vehicle charging station crowd prediction and recommendation, is disclosed. Said system broadly comprises: an at least a user module (110); an at least an interface module (108); an at least a prediction module (103); an at least a preprocessing module (102); an at least a queuing module (106); an at least a dashboard (113); and an at least a database (109). The disclosed system offers at least the following advantages: provides real-time crowd prediction before arriving at charging station; SoC based recommendation ensures EV battery safety; determines accurate wait time; dynamic pricing reduces overcrowding at peak hours; online slot booking saves time and avoids queues; enables data-driven charging station management; AI-based suggestions reduce manual decision making; and capable to work across multiple locations and charging station types."

Disclaimer: Curated by HT Syndication.