Optimal motion control for autonomous electric vehicles

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Dnr:

NAISS 2023/22-1321

Type:

NAISS Small Compute

Principal Investigator:

Wenliang Zhang

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2023-12-11

End Date:

2025-01-01

Primary Classification:

20303: Vehicle Engineering

Webpage:

Allocation

Klemming at PDC: 500 GiB
Dardel-GPU at PDC: 250 GPU-h/month
Dardel at PDC: 5 x 1000 core-h/month

Abstract

Electriﬁcation and automation are two transformative trends in the automotive industry. They are expected to bring about various beneﬁts such as improved energy efficiency and road safety and reduced traffic congestion. This project aims to study optimal motion control strategies for electrified and automated vehicles.