MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541131209 A) filed by Rajalakshmi Engineering College, Kancheepuram, Tamil Nadu, on Dec. 24, 2025, for 'artificial intelligence (ai) driven soc prediction and monitoring system for environment friendly bio-battery with can-based bms.'
Inventor(s) include Dr. Sridevi M; Elanthiriyan M; and Thivagar M.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent battery management system (BMS) for a NiO- based bio-battery, incorporating an artificial intelligence (Al) model for accurate real-time estimation of State of Charge (SoC) and seamless communication via a Controller Area Network (CAN) interface. The invention addresses two critical limitations of existing lithium-ion systems: environmental toxicity and unreliable SoC prediction under nonlinear battery behavior. The disclosed system comprises a sensor module, microcontroller unit, Al-enabled SoC estimator, protection circuitry, and CAN transceiver. The Al model is specifically trained on chargedischarge signatures, electrochemical nonlinearity, and temperature-dependent characteristics unique to NiO bio-batteries. The BMS executes dynamic cell balancing, anomaly detection, and adaptive recalibration while transmitting SoC, SoH, and diagnostic data to vehicle dashboards or telematics systems. The system enhances user trust by providing transparent and predictable battery performance while offering a sustainable alternative to conventional Li-ion batteries. The invention is applicable to electric vehicles, portable devices, and renewable energy storage systems."
Disclaimer: Curated by HT Syndication.
