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Profiling the Eddy Current Losses Variations of High-Speed Permanent Magnet Machines in Plug-in Hybrid Electric Vehicles

Huang, Zhen; Tang, Mi; Golovanov, Dmitry; Yang, Tao; Herring, Scott; Zanchetta, Pericle; Gerada, Christopher

Profiling the Eddy Current Losses Variations of High-Speed Permanent Magnet Machines in Plug-in Hybrid Electric Vehicles Thumbnail


Authors

Zhen Huang

Mi Tang

Dmitry Golovanov

TAO YANG TAO.YANG@NOTTINGHAM.AC.UK
Associate Professor

Scott Herring



Abstract

High-speed permanent magnet (PM) machines have been recognized as a popular choice for plug-in hybrid electric vehicles (PHEVs). Although high-speed operation can enhance the machine power density, more rotor eddy current losses can be expected. Those losses dominantly result from the current harmonics that may vary during the vehicle driving cycles. Therefore, it is crucial to profile the eddy current losses variations, thus identifying the worst case. To achieve this objective, a new indicator, namely the frequency-weighted harmonics distortion (FWTH), is defined correlating with eddy current losses in this paper. Profiling eddy current losses variations by FWTH relieves the computational burden seen in the finite element analysis (FEA) as its derivation simply governs all the current harmonics. Various machine and converter operation conditions are covered in the study. The strong correlations between the addressed FWTH factor and the eddy current losses have been validated from the FEA, and then the experimental results on a 110krpm, 35kW PM machine served in PHEVs. The effectiveness of using FWTH to profile the eddy current losses variations during driving cycles has been proven, where the worst eddy current case has been identified for the tested machine.

Journal Article Type Article
Acceptance Date Nov 25, 2021
Online Publication Date Feb 18, 2022
Publication Date Feb 18, 2022
Deposit Date Apr 5, 2022
Publicly Available Date Apr 5, 2022
Journal IEEE Transactions on Transportation Electrification
Electronic ISSN 2332-7782
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 8
Issue 3
Pages 3451--3463
DOI https://doi.org/10.1109/TTE.2022.3152845
Keywords Electrical and Electronic Engineering; Energy Engineering and Power Technology; Transportation; Automotive Engineering
Public URL https://nottingham-repository.worktribe.com/output/7708408
Publisher URL https://ieeexplore.ieee.org/document/9717277
Additional Information © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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