University of Nottingham and ZF Automotive UK Ltd KTP 22_23 R5
Lead Participant:
UNIVERSITY OF NOTTINGHAM
Abstract
To develop an accurate Digital Twin for automotive servo drives, including multiple physical effects and influences in a very fast simulation with high levels of accuracy through the deployment of AI.
Lead Participant | Project Cost | Grant Offer |
|---|---|---|
| UNIVERSITY OF NOTTINGHAM | ||
Participant |
||
| ZF AUTOMOTIVE UK LIMITED |
People |
ORCID iD |
| Paul Yeomans (Project Manager) |