Smart Electric Vehicle Charging Management Using Reinforcement Learning on FPGA Platforms

Smart Electric Vehicle Charging Management Using Reinforcement Learning on FPGA Platforms

This paper presents a smart electric vehicle (EV) charging management system that integrates Reinforcement Learning intelligence on a Field-Programmable Gate Array (FPGA) platform. The system is based on the Q-learning algorithm, where the RL agent perceives environmental conditions, captured throug...

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Bibliographic Details
Main Authors: Udhaya Mugil Damodarin, Gian Carlo Cardarilli, Luca Di Nunzio, Marco Re, Sergio Spanò
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
sensors data processing
reinforcement learning
Q-learning
FPGA
hardware acceleration
green mobility
Online Access:https://www.mdpi.com/1424-8220/25/8/2585
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