AI-assisted real-time digital twin for electric drivetrains
Research Project, 2019
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.
Participants
Yujing Liu (contact)
Chalmers, Electrical Engineering, Electric Power Engineering
Morteza Haghir Chehreghani
Chalmers, Computer Science and Engineering (Chalmers), Data Science
Xiaoliang Huang
Chalmers, Electrical Engineering, Electric Power Engineering
Funding
Chalmers
Funding Chalmers participation during 2019
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance
Sustainable development
Driving Forces
Transport
Areas of Advance