MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073777 A) filed by Vellore Institute Of Technology on June 14, 2026, for System For Battery State -Of-Health And Remaining Life Prediction In Electric Vehicles.
Inventors include K Rajakumar; Chinmay Parikh; Arjun Sreedhar; Shashwat Chaudhary; and Kasetti Sai Bhargav.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: A lightweight temporal attention-based system and method predict the State-of-Health (SOH) and Remaining Useful Life (RUL) of a battery in an electric vehicle. The system comprises a data preprocessing module configured to clean raw battery parameters and segment them into fixed-length temporal feature windows representing consecutive charge-discharge cycles. A Temporal Degradation Attention Network (TDAN) utilizes a low-complexity attention mechanism to project the temporal feature windows into query, key, and value spaces, calculating cycle-level relevance and assigning attentional weights to degradation-critical cycles to generate a compact temporal embedding. A Random Forest regression module comprising an ensemble of decision trees maps the compact temporal embedding to non-linear SOH and RUL predictions. The system achieves high predictive accuracy and interpretability with low computational overhead, enabling real-time deployment on resource- constrained onboard Battery Management Systems. [FIG. 1]
Disclaimer: Curated by HT Syndication.
