Projects

AI-assisted real-time digital twin for electric drivetrains

To explore the opportunities in applying AI-assisted intelligent Digital Twin framework for electric vehicle drive systems to monitor and predict physical behaviors of critical components in real-time and optimize control strategy of the drivetrains. This system has potential to achieve high driveline efficiency and prolong the lifetime.

Start date 01/10/2019

End date The project is closed: 31/12/2019

Project members
Funding

Yujing Liu

Full Professor, Electrical engineering

After 17 years working in ABB Corporate Research with the last position of Senior Principal Scientist, Yujing Liu became full professor in 2013 on electrical power engineering at Chalmers with focus...
Morteza Haghir Chehreghani

Associate professor, Data Science and AI division, Department of Computer Science and Engineering.

Link to personal page
Xiaoliang Huang

Researcher, Electrical Engineering

Xiaoliang works in the research unit Electrical Machines and Power Electronics.

Funded by

Chalmers (Site, Sweden)
Chalmers (Publisher, Sweden)

Published: Thu 19 Dec 2019.