Optimization of Powertrain Platform for Electric Passenger Vehicles
(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:
https://lup.lub.lu.se/record/c914e3d7-fcec-44d8-a83d-e0abfdb0b191
- author
- Lu, Meng LU ; Domingues-Olavarría, Gabriel LU ; Bydén, Hannes LU ; Aleksandar, Mateski and Alaküla, Mats LU
- organization
- publishing date
- 2023
- 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}}, }