Deep Reinforcement Learning-Driven Robust Adaptive Control for Hybrid Energy Storage in SynRM-Based Light Electric Vehicle Drives
TL;DR
This study proposes a deep reinforcement learning-based control framework for hybrid energy storage in SynRM-driven light electric vehicles, enhancing efficiency and dynamic performance by integrating SMES-assisted HESS with intelligent energy management.
Deep Reinforcement Learning-Driven Robust Adaptive Control for Hybrid Energy Storage in SynRM-Based Light Electric Vehicle Drives
Omar Zeb; Atif Rehman; Iftikhar Ahmad; Hammad Iqbal Sherazi; Sayed Osman Madbouly
https://doi.org/10.1109/ACCESS.2025.3648165
Volume 14
To advance the efficiency and dynamic responsiveness of Light Electric Vehicles(LEVs), this study introduces a comprehensive intelligent control and energy-management framework that couples a superconducting magnetic energy storage (SMES) assisted hybrid energy storage system (HESS) with a synchronous reluctance motor (SynRM) drive. The proposed configuration exploits the high power density and in...