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 |
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Participant |
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UNIVERSITY OF NOTTINGHAM |
People |
ORCID iD |
Paul Yeomans (Project Manager) |