Dr ADAM WALKER Adam.WalkerEEE@nottingham.ac.uk
ASSISTANT PROFESSOR
A topology selection consideration of electrical machines for traction applications: towards the FreedomCar 2020 targets
Walker, Adam; Galea, Michael; Gerada, Chris; Mebarki, Abdeslam; Gerada, David
Authors
Michael Galea
Professor CHRISTOPHER GERADA CHRIS.GERADA@NOTTINGHAM.AC.UK
PROFESSOR OF ELECTRICAL MACHINES
Abdeslam Mebarki
Professor DAVID GERADA D.Gerada@nottingham.ac.uk
PROFESSOR OF ELECTRICAL ENGINEERING
Abstract
This paper details a qualitative comparison between different types of electrical machine for hybrid electric vehicle traction applications. Targets set by the US Department of Energy for the year 2020 are used as goals. Several types of machine for this application will be discussed, focusing on the benefits and challenges of each machine when applied to these targets. Then the machines are compared based on appropriate quality indices relative to general performance characteristics. It is shown that the interior permanent magnet machine is the most suited topology for traction applications with these challenging targets. Two machine designs for these targets are briefly compared at the end of the paper.
Citation
Walker, A., Galea, M., Gerada, C., Mebarki, A., & Gerada, D. (2015, March). A topology selection consideration of electrical machines for traction applications: towards the FreedomCar 2020 targets. Presented at 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER), Monte Carlo
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER) |
Start Date | Mar 31, 2015 |
End Date | Apr 2, 2015 |
Online Publication Date | Jun 1, 2015 |
Publication Date | 2015-03 |
Deposit Date | Jun 10, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
ISBN | 9781467367844 |
DOI | https://doi.org/10.1109/EVER.2015.7112923 |
Public URL | https://nottingham-repository.worktribe.com/output/35445684 |
Publisher URL | https://ieeexplore.ieee.org/document/7112923 |
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