Magnetic, Thermal and Structural Scaling of Synchronous Machines

Gaetano Dilevrano, Paolo Ragazzo, Simone Ferrari, Gianmario Pellegrino, Timothy Burress

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

A fast and accurate method for scaling the dimensions and the performance of Permanent Magnet Synchronous Machines (PMSMs) is proposed, based on the use of flux linkage maps. Starting from a reference design, the scaled machine is designed to comply new peak torque and power, maximum operating speed, voltage and current specifications in seamless computational time. A new design plane is introduced, permitting the minimization of the stack length of the scaled design. The analysis covers the scaling of losses and the rules for scaling the water-glycol stator cooling jacket, which is a common cooling setup for PMSMs in traction application. The torque versus speed characteristics, the efficiency map and the thermal limit of the scaled design are obtained in seamless computational time without need of dedicated finite-element simulations. The e-motor of the BMW i3 is the reference design and the moto-generator 2 of the 4-th generation Toyota Prius is the target application for showcasing the proposed method.

Original languageEnglish
Title of host publication2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193878
DOIs
StatePublished - 2022
Event2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States
Duration: Oct 9 2022Oct 13 2022

Publication series

Name2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/TerritoryUnited States
CityDetroit
Period10/9/2210/13/22

Funding

The research has been conducted with the support of Power Electronics Innovation Center (PEIC) of Politecnico di Torino.

FundersFunder number
Politecnico di Torino

    Keywords

    • AC motors
    • Algorithm design
    • Electric motors
    • Permanent magnet machines
    • Traction motors
    • analysis

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