Comparative Assessment of Motion Trajectories for Electric Vehicles Considering Time and Energy
This paper poses and solves trajectory optimization problems arising in autonomous electric vehicles. Using a detailed physics-based model of the electric drive unit and vehicle, optimal trajectories are computed that balance the trade-off between time and energy, and comparisons with more traditional polynomial trajectories are provided.
Authors
- David G. Taylor (ORCID: https://orcid.org/0000-0002-3393-0293)
- Laurence A. Leon
- Paul V. Barsa
Institutions
- Georgia Institute of Technology (US)
- IR Dynamics (United States) (US)
Publication Details
- Published
- 2024-11-03
- DOI
- https://doi.org/10.1109/iecon55916.2024.10905749
- Citations
- 1
- Primary Topic
- Vehicle Dynamics and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.20
Funders
- MathWorks
- Argonne National Laboratory