A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling

• Published in: 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS) pp. 1 - 6
• Main Authors: Alamin, Khaled Sidahmed Sidahmed, Chen, Yukai, Macii, Enrico, Poncino, Massimo, Vinco, Sara
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2022
• Subjects: Aging; Batteries; Data models; Digital twins; Liquids; Machine learning; Power system measurements

The widespread adoption of EVs is limited by their reliance on batteries with presently low energy and power densities compared to liquid fuels and are subject to aging and performance deterioration over time. For this reason, monitoring the battery state of charge and state of health during the EV...