@inproceedings{9641d5a73e094db385ab0ef71bd6967c,
title = "Machine Learning Role in Electric Vehicles: A Review",
abstract = "In recent years, affordable and clean energy have been the popular sustainable development goals for many countries. To support this goal, the carbon neutrality initiative has been embraced by many to reduce carbon emissions. The adoption of Electric Vehicles (EVs), which rely on clean energy sources, can help achieve this goal. EV technology is advancing rapidly, driven by the integration of Machine Learning (ML). ML has significantly impacted various areas of our lives, including its application in EVs. ML has shown potential in improving battery system management efficiently, optimizing drive and charging management. The main goal of this paper is to provide clear research directions for implementing machine learning in EVs.",
keywords = "battery, charging, Electric vehicles, energy consumption, machine learning",
author = "Juwono, {Filbert H.} and Wong, {W. K.} and Erick Purwanto and Regina Reine and Hugeng Hugeng",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 10th International Conference on Smart Computing and Communication, ICSCC 2024 ; Conference date: 25-07-2024 Through 27-07-2024",
year = "2024",
doi = "10.1109/ICSCC62041.2024.10690538",
language = "English",
series = "2024 10th International Conference on Smart Computing and Communication, ICSCC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "671--675",
booktitle = "2024 10th International Conference on Smart Computing and Communication, ICSCC 2024",
}
