Comparative Analysis of Motors with Inner and Outer Reluctance Rotors and PM Stators

Oluwaseun A. Badewa, Dan M. Ionel

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

Abstract

This paper presents a comparison of special outer and inner reluctance rotor motor topologies with permanent magnet (PM) stators having toroidal AC windings. A systematic approach is taken to study and discuss the design geometries, the respective impact on performance, and adoption of technological advancements such as stator-only cooling and hair-pin winding for high slot fill factor. Parametric FEA models are developed for both topologies, and design of experiments (DoE)-based sensitivity analysis is used to study the effect of independent variables on specific performance metrics such as torque, motor loss, torque ripple, and power factor. Inner and outer rotor topologies are compared using the resulting Pareto fronts from multi-objective optimization. Optimized outer rotor designs using both non-rare earth PMs and ferrites are also investigated over selected drive cycles. The efficiency per cycle is evaluated at seven of the most representative points of the drive cycle obtained using a k-means clustering algorithm for the world harmonized light vehicle test procedure (WLTP), Orange County, and parcel truck (Baltimore) drive cycles.

Original languageEnglish
Title of host publication2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024
ISBN (Electronic)9798350317664
DOIs
StatePublished - 2024
Event2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024 - Chicago, United States
Duration: Jun 19 2024Jun 21 2024

Publication series

Name2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024

Conference

Conference2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024
Country/TerritoryUnited States
CityChicago
Period6/19/246/21/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Funding

This work was supported in part by the VTO DOE, under award no. DEEE0008871. The material presented in this paper does not necessarily reflect the views of DOE. The direct sponsorship of QM Power, Inc. is also gratefully acknowledged, together with additional support from ANSYS Inc., and the University of Kentucky the L. Stanley Pigman Chair in Power Endowment.

FundersFunder number
University of Kentucky
ANSYS
U.S. Department of Energy EPSCoR
Vehicle Technologies Office of the U.S. Department of Energy Battery Materials ResearchDEEE0008871

    Keywords

    • Electric vehicle
    • Finite Element Analysis (FEA)
    • drive cycle analysis
    • flux switching
    • hair-pin winding
    • k-means clustering algorithm
    • non-rare earth PM
    • optimization
    • sensitivity analysis
    • synchronous motor

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Automotive Engineering
    • Electrical and Electronic Engineering
    • Mechanical Engineering
    • Control and Optimization
    • Modeling and Simulation
    • Transportation

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