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  5. An Induction Machine Design with Parameter Optimization for a 120-kW Electric Vehicle
 
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An Induction Machine Design with Parameter Optimization for a 120-kW Electric Vehicle

Author(s)
Zhao, Nan  
Schofield, Nigel  
Uri
http://hdl.handle.net/10197/26350
Date Issued
2020-06
Date Available
2024-06-25T16:06:00Z
Abstract
Electric traction machines have been applied to both industrial variable-speed applications and electric vehicles. The induction machine (IM) is a potential candidate for traction machines due to the established industrial base. However, most of the existing studies on traction IM design rely on optimization algorithms or iterative calculation programs that subsequently give no clear understanding of the design requirements for field-weakening or extended speed operation. Hence, published procedures to guide IM design for traction applications are somewhat ad hoc to date. This article identifies the key IM design parameters required to achieve a traction characteristic within power supply constraints. As an example, a 120-kW electric vehicle traction machine is studied as a benchmark machine and then the proposed design procedure is employed to redesign the machine to improve its extended speed performance. Improvements in terms of efficiency and field-weakening capability are presented. The experimental results from the benchmark machine are used for validation of the subsequent simulation studies reported in this article. Finally, the identified parameters are shown to be similar with brushless permanent magnet machines. Thus, a generalized machine design philosophy can be concluded.
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Transportation Electrification
Volume
6
Issue
2
Start Page
592
End Page
601
Copyright (Published Version)
2020 IEEE
Subjects

Torque

Rotors

Induction machines

Stators

Optimization

Inductance

Benchmark testing

Induction motors

Machine design

Power electronics (PE...

Traction motor drives...

Traction motor

DOI
10.1109/TTE.2020.2993456
Language
English
Status of Item
Peer reviewed
ISSN
2332-7782
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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TTE--2020-01-0010_final_double column.pdf

Size

697.73 KB

Format

Adobe PDF

Checksum (MD5)

db03e30ef8516d92f7515b188d6537c6

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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