Abstract
In this paper, a dual-stator axial flux permanent magnet machine with a spoke-type rotor for electric vehicle applications is investigated. The rotor PMs are positioned in a spoke-type field-concentrating arrangement, which provides high flux concentration. Two stators-one stator configuration with double-layer wound coils and another without winding-are employed. The usage of single-layer wound coils is possible in this topology, and by using this type of winding it is possible to implement advanced in-slot cooling systems. Analytical and electromagnetic finite element analysis (FEA) studies considering its geometrical and electrical properties have been performed on this machine. The performance indices for the traction application based on the analytically calculated torque-speed characteristic, and FEA calculated torque versus torque angle have been assessed, and the results indicate that by using the proposed flux weakening methods, this machine can perform the flux weakening and operate in the constant power region of the torque-speed characteristic.
Original language | English |
---|---|
Title of host publication | 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 |
ISBN (Electronic) | 9798350397420 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 - Detroit, United States Duration: Jun 21 2023 → Jun 23 2023 |
Publication series
Name | 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 |
---|
Conference
Conference | 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 |
---|---|
Country/Territory | United States |
City | Detroit |
Period | 6/21/23 → 6/23/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Axial flux vernier machine
- d-axis inductance
- electrical vehicles
- finite element analysis
- flux weakening
- in-wheel motor
- spoke rotor
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Automotive Engineering
- Transportation
- Control and Optimization