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Optimized Sizing of IPM Machines for Automotive Traction Application

Valente, Giorgio; Gerada, David; Degano, Michele; Gerada, Christopher; Foulsham, John; Beeby, Daniel

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Authors

Giorgio Valente

DAVID GERADA D.Gerada@nottingham.ac.uk
Professor of Electrical Engineering

MICHELE DEGANO Michele.Degano@nottingham.ac.uk
Professor of Advanced Electrical Machines

John Foulsham

Daniel Beeby



Abstract

This paper presents the implementation of an electrical machine design tool including its overall architecture. The tool is flexible and can be employed for the sizing of any permanent magnet synchronous machine. The case study considered in this work is the design of V-shaped interior permanent magnet synchronous machine for automotive applications. The preliminary design stage is considered with the aim of selecting the optimum machine pole pairs number and rotation speed. A multi-objective genetic algorithm is linked to the design tool and adopted to maximize the machine power density in terms of kW/L as well as to minimize the machine cost. The outcomes of this work are showing the variation of the above objective functions with respect to the pole-pair number and gearbox ratio as well as their effect on the machine efficiency.

Citation

Valente, G., Gerada, D., Degano, M., Gerada, C., Foulsham, J., & Beeby, D. (2019). Optimized Sizing of IPM Machines for Automotive Traction Application. In 2019 IEEE International Electric Machines & Drives Conference (IEMDC) (970-975). https://doi.org/10.1109/IEMDC.2019.8785245

Conference Name 2019 IEEE International Electric Machines & Drives Conference (IEMDC)
Conference Location San Diego, CA, USA
Start Date May 12, 2019
End Date May 15, 2019
Acceptance Date Mar 27, 2019
Online Publication Date Aug 5, 2019
Publication Date 2019-05
Deposit Date Sep 30, 2019
Publicly Available Date Mar 28, 2024
Publisher Institute of Electrical and Electronics Engineers
Pages 970-975
Book Title 2019 IEEE International Electric Machines & Drives Conference (IEMDC)
ISBN 978-1-5386-9351-3
DOI https://doi.org/10.1109/IEMDC.2019.8785245
Public URL https://nottingham-repository.worktribe.com/output/2723357
Publisher URL https://ieeexplore.ieee.org/document/8785245
Additional Information © 2019 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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