MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051604 A) filed by Sr University, Warangal, Telangana, on April 22, for 'a predictive battery health monitoring and rider alert system for two-wheeler vehicles using multi-parameter battery degradation analysis.'
Inventor(s) include Dr. Piyush Moghe; Dr. Rupesh Mishra; and Dr. Sumit Jain.
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: "The present invention discloses a predictive battery health monitoring and rider alert system for two-wheeler vehicles using multi-parameter battery degradation analysis. The system is designed to enhance safety, reliability, and operational efficiency by enabling early detection of battery degradation and potential failure conditions. It comprises a battery sensing module, a data acquisition and processing unit, a predictive analysis engine, a communication interface, and a multi-platform rider notification system. The battery sensing module continuously monitors critical parameters including voltage, current, temperature, internal resistance, and charge-discharge cycles. The acquired data is processed and analyzed using predictive models to estimate key battery health indicators such as state of health, degradation rate, and failure probability. The system further incorporates a distance-to-failure estimation mechanism that calculates the remaining operational range based on battery condition and usage patterns. Upon detection of abnormal degradation or increased failure risk, the system generates real-time alerts that are communicated through multiple interfaces including vehicle dashboards, mobile applications, and wearable devices such as smart helmets. This ensures timely awareness and enables riders to take preventive actions such as recharging or maintenance. The invention is compatible with existing battery management systems and is scalable across various battery-powered vehicles. By integrating real-time monitoring, predictive analytics, and intelligent alert mechanisms, the proposed system provides a comprehensive solution for proactive battery management, thereby improving user safety and extending battery lifespan in electric two-wheeler applications."
Disclaimer: Curated by HT Syndication.
