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Magnetic Gear Electric Continuously Variable Speed Transmission (ECVT) for Helicopter Application

Date Issued
August 1, 2025
Author(s)
Ai, Zhisheng
Advisor(s)
Hans Desmidt
Additional Advisor(s)
Seddik Djouadi, Zhenbo Wang
Abstract

This thesis presents the modeling, design, and evaluation of Motor/Generator Integrated Permanent Magnet Gear (MIPMG) systems, with a focus on coaxial magnetic gear (CMG) architectures and their integration into Magnetic Electric Continuously Variable Transmission (MECVT) systems. A theoretical torque model is developed to characterize the magnetic coupling between inner and outer rotors through a ferromagnetic modulator. This model captures the sinusoidal torque–angle relationship based on pole pair configurations and material properties. A key contribution is the derivation of a maximum torque line, allowing early estimation of torque limits without relying on repeated finite element analysis. Parametric studies show that increasing the outer pole pair number and optimizing magnet dimensions significantly improves torque density in space-constrained applications. Dynamic simulations validate the model under both partial and steady-state engagements, demonstrating consistent torque behavior under realistic loads. Loss analysis reveals that eddy current loss dominates at high speeds, contributing to a notable drop in efficiency. Despite this, CMG-based systems show up to 17% total mass savings compared to multi-stage planetary gear transmissions at high gear ratios, due to shared magnetic components and compact design. A system-level comparison between CMG and planetary gear-based MECVTs indicates that CMG systems are more suitable for high-ratio, mass-sensitive scenarios, while planetary systems remain advantageous in low-to-moderate ratios where efficiency is critical. This work provides a comprehensive framework for developing high-torque, lightweight magnetic transmission systems suitable for electric vehicles, aerospace propulsion, and robotics.

Subjects

Magnetic Gear; Electr...

Disciplines
Electro-Mechanical Systems
Degree
Doctor of Philosophy
Major
Mechanical Engineering
File(s)
Thumbnail Image
Name

Zhisheng_Ai_disseration_thesis___update4.pdf

Size

6.1 MB

Format

Adobe PDF

Checksum (MD5)

7c9358e583d4119121e1994de34dc4c9

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