Comprehensive survey on EV fleet coordination, smart charging scheduling, vehicle-to-grid (V2G) power balancing, battery state-of-health (SOH) estimation (+44.5% accuracy), and CAN bus intrusion anomaly detection using distributed machine learning.
@article{sajjadi2025ev,
title = {Advancing Electric Vehicle Ecosystems: A Survey of Generative Artificial Intelligence and Distributed Machine Learning Applications},
author = {Sajjadi Mohammadabadi, Seyed Mahmoud and Moghaddam, Aidin Karimi and Entezami, Mahmoudreza and Seyedrezaei, Mostafa and Charkhian, Danial and Moghaddam, Behzad and Sasani, Mohammad},
journal = {Global Energy Interconnection},
month = oct,
year = {2025}
}