MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123226 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 6, 2025, for 'machine learning-based battery temperature fault detection system for electric vehicles.'
Inventor(s) include Dr. Sujatha R; Dr Rammohan A; Shashi Kiran A M; and Mr. Dasari Hethu Avinash.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a battery temperature fault detection system for electric vehicles that includes a plurality of temperature sensors (T1, T2, T3) configured to monitor thermal conditions of a lithium-ion battery pack during operation, a data processing module configured to analyze sensor data from the temperature sensors using machine learning analysis to identify thermal patterns, a fault detection module configured to identify abnormal temperature conditions based on the machine learning analysis by comparing predicted temperature values against actual sensor readings, and an alert generation system configured to provide output signals when the abnormal temperature conditions are detected. The system employs ensemble learning algorithms including Random Forest, XGBoost, LightGBM, and CatBoost to process temperature, voltage, and current measurements from the battery pack, enabling detection of thermal anomalies before thermal runaway conditions develop."
Disclaimer: Curated by HT Syndication.
