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)

Full Professor at Chalmers, Electrical Engineering, Electric Power Engineering, Electrical Machines and Power Electronics

Morteza Haghir Chehreghani

Associate Professor at Chalmers, Computer Science and Engineering (Chalmers), Data Science

Xiaoliang Huang

Researcher at Chalmers, Electrical Engineering, Electric Power Engineering, Electrical Machines and Power Electronics

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

More information

Latest update

2019-12-18