MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641110882 A) filed by St. Joseph'S College Of Engineering; Sathish K; Saiganes B; and T. Sriananda Ganesh on September 16, 2026, for An Intelligent Ev Charging System Using Multiport Converter And Modified Whale Optimization Algorithm (mwoa) For Optimized Power Management And Smart Energy Integration.
Inventors include St. Joseph'S College Of Engineering; Sathish K; Saiganes B; and T. Sriananda Ganesh.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT The rapid expansion of electric vehicles (EVs) has created a growing demand for efficien flexible, and intelligent charging infrastructure, prompting the need for advanced power electroni solutions. This study presents the design and analysis of an EV charging system based on a multipo converter integrated with an optimized control strategy using the Modified Whale Optimizatio Algorithm (MWOA). The multiport converter serves as a unified platform that enables th integration of multiple energy sources, including the utility grid, renewable energy systems such a solar photovoltaic (PV), and energy storage units, thereby reducing the number of conversion stage and improving overall system efficiency. This configuration also enhances power flow flexibility ane supports bidirectional energy transfer, which is essential for modern charging applications. To ensure optimal system performance, the MWOA-based control strategy is employed to tune controlle parameters and regulate power sharing among different ports effectively under dynamic operating conditions. The proposed approach minimizes voltage deviations, reduces power losses, and maintains stable DC bus voltage, which is critical for reliable EV charging. Furthermore, the system is evaluated through simulation under varying load demands and intermittent renewable energy inputs to assess its robustness and adaptability.The results indicate that the MWOA-based controller provides faster convergence, improved dynamic response, reduced overshoot, and better voltage regulation compared to conventional control methods such as PI and PID controllers. Additionally, the proposed system demonstrates enhanced energy utilization and reduced total harmonic distortion (THD), contributing to improved power quality. Overall, this work offers a comprehensive and optimized solution for next-generation EV charging systems, supporting sustainable energy integration, improved efficiency, and the advancement of smart grid technologies.
Disclaimer: Curated by HT Syndication.
