R. S. Kumar

Artificial Intelligence Based Performance Enhancement of AC-DC Power Converters for Smart Energy Systems

With such operation mode, the smart energy systems require a high-power quality and fast regulation of electrical signals, making artificial intelligence (AI)guided control increasingly important for AC-DC power converters under continuously changing operating conditions. To bridge the conventional fixed-gain controlle...

Machine Learning-Enabled Power Converter Control for Efficient Electric Vehicle Energy Management

This paper proposes Machine Learning (ML)-based power converter control as an effective Electric Vehicle (EV) energy management strategy under time-varying source, load and storage conditions. The system contains a Hybrid Energy Storage System (HESS) unit, Photovoltaic (PV) source, grid input, bidirectional Direct Curr...

Predictive Machine Learning Control of DC-AC Converters for Dynamic Load Conditions

Digital Twin-based Multi-Port Power Converter for Renewable Energy-Assisted Electric Vehicle Charging Systems

AI-based Intelligent Control for High-Efficiency DC-DC Converters in Advanced Applications

Compact design, fast regulation, and low-loss operation at high efficiency make direct current-to-direct current (DC-DC) conversion increasingly important for renewable energy interfaces, electric vehicle (EV) subsystems, microgrids, storage units, and Internet of Things (IoT) devices. This work aims to bridge the gap...