MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050468 A) filed by Vishnu Institute Of Technology, Bhimavaram, Andhra Pradesh, on April 21, for 'ai-enabled soc estimation for solar powered battery systems.'
Inventor(s) include Dr. Reddi Khasim Shaik; J. Sowmya Sri; K. Venkata Naga Likith; A. Shanmukha Rao; K. Vara Prasad; M. Varshith; and Ch. Pothuraju Swami.
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 an AI-enabled approach for State of Charge (SOC) estimation in solar-powered battery systems. The system integrates photovoltaic panels, a battery storage unit, and a data acquisition setup to collect real-time battery parameters. Machine learning techniques, specifically the Random Forest algorithm, are employed to model battery characteristics and predict SOC with higher accuracy than conventional methods. The proposed system improves battery performance and lifespan by enabling smart energy management and preventing harmful operating conditions. Its data-driven nature makes it a viable solution for intelligent and sustainable renewable energy applications."
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