MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641089111 A) filed by Mahendra Engineering College on July 22, 2026, for An Ai-Driven Framework For Optimal Design And Performance Enhancement Of Dc–dc Converter Topologies In Solar Pv Systems.
Inventors include Mr. M. Sidheswaran; Dr. M. Muthuvinayagam; Dr. S. Krishnan; Mr. S. Nishanth; Mr. A. Poomalaikathir; Mr. S. Nithish; and Mr. K. Praveen Kumar.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses an AI-based optimization approach for DC-DC converter topologies in solar photovoltaic (PV) systems. The proposed methodology integrates system modeling, dataset generation, and intelligent optimization to enhance converter performance under varying irradiance and temperature conditions. AI is used to optimize key parameters such as duty cycle, switching frequency, and topology selection for improved voltage regulation and energy conversion efficiency. The proposed approach ensures stable output voltage, fast adaptability to environmental changes, and reliable system operation. Comparative analysis confirms superior performance over conventional optimization methods in terms of efficiency, stability, and adaptability. The results validate the effectiveness and robustness of the proposed AI-driven framework, making it a scalable and efficient solution for modern solar PV power electronic systems.
Disclaimer: Curated by HT Syndication.
