Author

S. Suraya

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#reinforcement learning Open access Oct 2026

Machine learning-based energy management and bidirectional power control for battery-fed electric vehicle traction drive

Efficient energy management in a battery-fed electric vehicle (EV) traction system requires coordinated control of propulsion power, battery operating conditions, Direct Current (DC)-link voltage, and regenerative braking under rapidly changing driving conditions. This study develops a machine learning (ML)-based ene...

V. Sekhar, S. Suraya, R. Dharmaprakash et al. · Scientific Reports · 0 citations

Conference Aug 2026

Digital Twin and AI-Based Fault Diagnosis of Power Electronic Converters for Smart Grid Applications

Power electronic converters form the backbone of renewable energy integration, electric mobility, energy storage and flexible smart-grid operation; however, converter switching devices, sensors, capacitors, and control circuits remain vulnerable to electrical and thermal faults. This paper proposes a framework for moni...

G. Sivaprasad, S. Suraya, G. S. Shekarappa et al. · 2026 International Conferenc... · 0 citations

Conference Aug 2026

Deep Reinforcement Learning-Based Intelligent Energy Management of Bidirectional Power Converters for V2g Systems

Modern developments in electrification have rendered bidirectional Electric Vehicle (EV) charging a challenge due to the need for transactions in Vehicle-to-Grid (V2G) systems, which must address issues such as renewable generation, tariff fluctuations, and distribution grid support while also aiming to prolong device...

A. Velu, G. Naveen, S. Suraya et al. · 2026 International Conferenc... · 0 citations