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Comparison of PMSM versus PMa-SynRM and IM from an Optimized Electric Vehicle Powertrain Perspective

Lu, Meng LU ; Domingues-Olavarria, Gabriel LU and Alaküla, Mats LU orcid (2023) 26th International Conference on Electrical Machines and Systems, ICEMS 2023 In 2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023 p.4075-4080
Abstract

This study focuses on comparing three electrical machine (EM) topologies to be used in an electric vehicle powertrain. The considered topologies are the permanent magnet synchronous machine (PMSM), permanent magnet assisted synchronous reluctance machine (PMa-SynRM), and induction machine (IM). For this assessment, complete powertrains are optimized for each EM topology. A powertrain optimization approach based on the use of extensive EM databases and scaling is utilized. The proposed comparison method is applied to the requirements of a passenger vehicle application. Energy consumption and EM cost are set as the optimization objectives. The findings of this study reveal that the PMSM exhibits the highest power density and efficiency,... (More)

This study focuses on comparing three electrical machine (EM) topologies to be used in an electric vehicle powertrain. The considered topologies are the permanent magnet synchronous machine (PMSM), permanent magnet assisted synchronous reluctance machine (PMa-SynRM), and induction machine (IM). For this assessment, complete powertrains are optimized for each EM topology. A powertrain optimization approach based on the use of extensive EM databases and scaling is utilized. The proposed comparison method is applied to the requirements of a passenger vehicle application. Energy consumption and EM cost are set as the optimization objectives. The findings of this study reveal that the PMSM exhibits the highest power density and efficiency, while PMa-SynRM offers the lowest EM cost for same vehicle performance requirements. These findings offer valuable insights into the characteristics and trade-offs associated with each machine type.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
cost estimation, FEM simulations, ferrite magnet, IM, PMa-SynRM, PMSM, powertrain optimization, rear-earth magnet
host publication
2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
series title
2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
26th International Conference on Electrical Machines and Systems, ICEMS 2023
conference location
Zhuhai, China
conference dates
2023-11-05 - 2023-11-08
external identifiers
  • scopus:85182340477
ISBN
9798350317589
DOI
10.1109/ICEMS59686.2023.10344646
language
English
LU publication?
yes
id
06a7394d-c1a1-4038-bfca-59ba62eb2344
date added to LUP
2024-02-15 14:53:25
date last changed
2024-02-15 14:55:00
@inproceedings{06a7394d-c1a1-4038-bfca-59ba62eb2344,
  abstract     = {{<p>This study focuses on comparing three electrical machine (EM) topologies to be used in an electric vehicle powertrain. The considered topologies are the permanent magnet synchronous machine (PMSM), permanent magnet assisted synchronous reluctance machine (PMa-SynRM), and induction machine (IM). For this assessment, complete powertrains are optimized for each EM topology. A powertrain optimization approach based on the use of extensive EM databases and scaling is utilized. The proposed comparison method is applied to the requirements of a passenger vehicle application. Energy consumption and EM cost are set as the optimization objectives. The findings of this study reveal that the PMSM exhibits the highest power density and efficiency, while PMa-SynRM offers the lowest EM cost for same vehicle performance requirements. These findings offer valuable insights into the characteristics and trade-offs associated with each machine type.</p>}},
  author       = {{Lu, Meng and Domingues-Olavarria, Gabriel and Alaküla, Mats}},
  booktitle    = {{2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023}},
  isbn         = {{9798350317589}},
  keywords     = {{cost estimation; FEM simulations; ferrite magnet; IM; PMa-SynRM; PMSM; powertrain optimization; rear-earth magnet}},
  language     = {{eng}},
  pages        = {{4075--4080}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023}},
  title        = {{Comparison of PMSM versus PMa-SynRM and IM from an Optimized Electric Vehicle Powertrain Perspective}},
  url          = {{http://dx.doi.org/10.1109/ICEMS59686.2023.10344646}},
  doi          = {{10.1109/ICEMS59686.2023.10344646}},
  year         = {{2023}},
}