Abstract
This paper presents the performance trade-offs in the design optimization of spoke-type permanent magnet (PM) motors for high speed and very high torque density traction motors. An example 18-slot 16-pole machine for a direct drive Formula E race car over the Le Mans driving cycle is considered. Both low speed and extended speed/field-weakening operations are evaluated using high fidelity finite element (FE) simulations, to simultaneously increase the torque density and decrease the power losses over the high energy-throughput-zones of the machine torque-speed plane. The results of the design optimization process yielding 3,400 design candidates are utilized to quantify the performance trade-offs for increasing the power density in spoke-type PM motors. These trade-offs include the impacts on other performance metrics such as power losses, PM demagnetization, and torque ripple. The analysis is supplemented by multi-physics simulation of three counterpart optimized designs, and successful experimental verification of a prototype of one of those three designs which represents a record high power density motor in traction applications.
Original language | English |
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Title of host publication | ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings |
ISBN (Electronic) | 9781509007370 |
DOIs | |
State | Published - 2016 |
Event | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States Duration: Sep 18 2016 → Sep 22 2016 |
Publication series
Name | ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings |
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Conference
Conference | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 |
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Country/Territory | United States |
City | Milwaukee |
Period | 9/18/16 → 9/22/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Design optimization
- design trade-offs
- electric vehicles
- high power density
- multi-physics analysis
- spoke-type PM motors
- traction motors
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
- Control and Optimization