MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641090087 A) filed by Dr. Nirmala Devi K; Laxmi Koli; Dr. C Vennila; Manojkumar P; D. Sravani; Jivan Bhausaheb Patil; Vijesh Malappurath Paramadam; Sasikala R; Dr. Pendurthy Anthony Sunny Dayal; Milind Chandrakant Tote; Anuradha Hiwase; and Kavitha J on July 24, 2026, for Machine Learning-Based Intelligent Lithium Battery Charging And Health Management System For Electric Vehicles.
Inventors include Dr. Nirmala Devi K; Laxmi Koli; Dr. C Vennila; Manojkumar P; D. Sravani; Jivan Bhausaheb Patil; Vijesh Malappurath Paramadam; Sasikala R; Dr. Pendurthy Anthony Sunny Dayal; Milind Chandrakant Tote; Anuradha Hiwase; and Kavitha J.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses a machine learning-based intelligent lithium battery charging and health management system for electric vehicles. The system is configured to continuously monitor battery operational parameters including voltage, current, temperature, charging cycles, internal resistance, and environmental conditions to intelligently optimize battery charging operations. A machine learning analytics engine predicts battery state-of-health, remaining useful life, and degradation characteristics to generate adaptive charging profiles and predictive maintenance recommendations. The system further incorporates thermal management and anomaly detection mechanisms to improve charging safety and battery reliability. By utilizing cloud, edge, or on-board computing architectures, the invention supports real-time battery analytics and scalable deployment for individual and fleet electric vehicle applications. The disclosed system enhances charging efficiency, extends battery lifespan, minimizes degradation, and enables intelligent battery health management across diverse operating environments.
Disclaimer: Curated by HT Syndication.
