Intellectual Property India Publishes Patent Application for 'A Real-Time Hardware-Aided System For Predicting Electric Vehicle Battery States Based On Rider Behavior Profiling' Filed by St. Joseph's College Of Engineering; Dr Jayarama Pradeep; Maheswaran A S; and Raghav Vyas

MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042171 A) filed by St. Joseph's College Of Engineering; Dr Jayarama Pradeep; Maheswaran A S; and Raghav Vyas, Chennai, Tamil Nadu, on April 2, for 'a real-time hardware-aided system for predicting electric vehicle battery states based on rider behavior profiling.'

Inventor(s) include Dr Jayarama Pradeep; Maheswaran A S; and Raghav Vyas.

The application for the patent was published on April 17, under issue no. 16/2026.

According to the abstract released by the Intellectual Property India: "This invention presents a real-time, hardware-aided intelligent system for predicting electric vehicle battery states based on rider behavior profiling. By integrating multi-sensor data acquisition with machine learning techniques, the system estimates battery State of Charge and State of Health while classifying rider driving patterns into low, normal, and rash categories. The proposed approach enables behavior-aware range estimation, early fault detection, and enhanced safety. The system operates entirely onboard without cloud dependency, making it suitable for low-cost electric vehicles and real-world deployment."

Disclaimer: Curated by HT Syndication.