Development of novel dual-rotor stator-permanent-magnet motor drives for electric vehicles with electronic differential
Grant Data
Project Title
Development of novel dual-rotor stator-permanent-magnet motor drives for electric vehicles with electronic differential
Principal Investigator
Professor Chau, Kwok Tong
(Principal Investigator (PI))
Co-Investigator(s)
Dr Lee Christopher Ho-tin
(Co-Investigator)
Duration
42
Start Date
2018-12-01
Completion Date
2022-05-31
Amount
700000
Conference Title
Development of novel dual-rotor stator-permanent-magnet motor drives for electric vehicles with electronic differential
Keywords
Electric drives, Electric machines, Electric motors, Electric vehicles, Permanent-magnet motors
Discipline
Power SystemOthers - Electrical and Electronic Engineering
Panel
Engineering (E)
HKU Project Code
17205518
Grant Type
General Research Fund (GRF)
Funding Year
2018
Status
Completed
Objectives
1) Develop novel dual-rotor stator-permanent-magnet motor topologies for electric vehicles (EVs), which can offer higher reliability and safety than the state-of-the-art electronic differential using the two-motor arrangement; 2) Formulate the design equations and analytical models of the proposed motors, hence identifying the key design parameters and performance indices; 3) Analyze the electromagnetic, thermal and structural performances of the proposed motors, hence assessing the torque ripple during cornering, the thermal instability of permanent magnets, and the mechanical integrity of the axial-field structure; 4) Develop the power converter topologies for the proposed motors, which can conduct power regulation for dual-rotor propulsion and steering; 5) Devise the control strategies for the proposed motor drives, which can achieve the desired propulsive torque with minimum torque ripple, especially during cornering; 6) Evaluate the performance indices of the proposed motor drives in terms of the reliability and safety under various failure modes as well as the efficiency, torque density, manufacturing complexity and cost as compared with the state-of-the-art electronic differential for EVs.
