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Optimization of Powertrain Platform for Electric Passenger Vehicles

Lu, Meng LU ; Domingues-Olavarría, Gabriel LU ; Bydén, Hannes LU ; Aleksandar, Mateski and Alaküla, Mats LU orcid (2023) 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
Abstract

This paper presents a method to optimize an electric powertrain platform, capable of addressing the needs of a wide range of vehicle types while taking advantage of economies of scale and reducing time to market. The optimization includes all electric powertrain components from the electrical machine and inverter to the transmission. The objective is to minimize both the operational and electrical machine cost. Detailed scalable powertrain models are developed and the Particle Swarm Optimization algorithm (PSO) is applied to achieve the optimal design. Results show the benefits and limitations of adopting a platform approach depending on the volumes of the specific applications.

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
optimization, PMSM, powertrain platform
host publication
2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
conference location
Detroit, United States
conference dates
2023-06-21 - 2023-06-23
external identifiers
  • scopus:85168247453
ISBN
9798350397420
DOI
10.1109/ITEC55900.2023.10187120
language
English
LU publication?
yes
id
c914e3d7-fcec-44d8-a83d-e0abfdb0b191
date added to LUP
2023-11-15 13:36:18
date last changed
2023-11-21 10:05:47
@inproceedings{c914e3d7-fcec-44d8-a83d-e0abfdb0b191,
  abstract     = {{<p>This paper presents a method to optimize an electric powertrain platform, capable of addressing the needs of a wide range of vehicle types while taking advantage of economies of scale and reducing time to market. The optimization includes all electric powertrain components from the electrical machine and inverter to the transmission. The objective is to minimize both the operational and electrical machine cost. Detailed scalable powertrain models are developed and the Particle Swarm Optimization algorithm (PSO) is applied to achieve the optimal design. Results show the benefits and limitations of adopting a platform approach depending on the volumes of the specific applications.</p>}},
  author       = {{Lu, Meng and Domingues-Olavarría, Gabriel and Bydén, Hannes and Aleksandar, Mateski and Alaküla, Mats}},
  booktitle    = {{2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023}},
  isbn         = {{9798350397420}},
  keywords     = {{optimization; PMSM; powertrain platform}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Optimization of Powertrain Platform for Electric Passenger Vehicles}},
  url          = {{http://dx.doi.org/10.1109/ITEC55900.2023.10187120}},
  doi          = {{10.1109/ITEC55900.2023.10187120}},
  year         = {{2023}},
}