System-level and Multi-disciplinary Design Optimization of a Permanent Magnet Synchronous Motor Drive System

Liu, Lin

System-level and Multi-disciplinary Design Optimization of a Permanent Magnet Synchronous Motor Drive System

Liu, Lin

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Publication Type:: Thesis
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Liu, Lin
dc.date.accessioned	2025-06-02T22:27:53Z
dc.date.available	2025-06-02T22:27:53Z
dc.date.issued	2024
dc.identifier.uri	http://hdl.handle.net/10453/187590
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	Aiming at the integrated demands of electric equipment and oriented towards enhancing the high performance and high efficiency of electric drive systems, this study seeks to accomplish an overall design optimization strategy for electric motors and their drive systems. Furthermore, it will deeply investigate key issues such as precise modelling of iron losses, system-level minimum loss controls, and holistic optimization methods. Permanent magnet synchronous motor (PMSM) drive systems have experienced increased applications in many aspects such as centrifugal compressors, machine tools, flywheels, distributed power generation systems, as well as road, rail, marine and aerospace transportation. Considering the multidisciplinary coupling and varying operational conditions faced by the PMSM and its drive system in electric vehicles (EVs), the main research focuses include: (1) Considering the effects of multiphysics factors on iron loss prediction accuracy for PMSMs, this thesis aims to propose an advanced analytical iron loss prediction model for interior PMSMs (IPMSMs), in which both the spatial harmonic from slotting and the carrier harmonics from the pulse width modulation (PWM) inverter, as well as the thermal and mechanical factors are all considered; (2) A system-level total loss model considering various loads and speeds is proposed, and based on this model, a minimum loss control strategy is derived; (3) Combining this loss controller, a multi-objective optimization system-level model is proposed to primarily enhance the efficiency and static/dynamic performance of the entire drive system; (4) Due to the time-consuming nature of directly applying multi-objective algorithms for the solution, a novel multi-level optimization algorithm combined with surrogate models is applied to decouple nonlinear and high-dimensional issues; and (5) Using simulation models and the prototype test platform, the proposed approaches and methodologies are all validated. The study can provide new theories and methods for the design and optimization of both electric motors and their drive systems, driving the development and innovation of related technologies, promoting industrial upgrading, and advancing technological progress.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/187590/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2024 Lin Liu
dc.rights	au.edu.uts.lib/cph
dc.title	System-level and Multi-disciplinary Design Optimization of a Permanent Magnet Synchronous Motor Drive System	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Aiming at the integrated demands of electric equipment and oriented towards enhancing the high performance and high efficiency of electric drive systems, this study seeks to accomplish an overall design optimization strategy for electric motors and their drive systems. Furthermore, it will deeply investigate key issues such as precise modelling of iron losses, system-level minimum loss controls, and holistic optimization methods. Permanent magnet synchronous motor (PMSM) drive systems have experienced increased applications in many aspects such as centrifugal compressors, machine tools, flywheels, distributed power generation systems, as well as road, rail, marine and aerospace transportation. Considering the multidisciplinary coupling and varying operational conditions faced by the PMSM and its drive system in electric vehicles (EVs), the main research focuses include: (1) Considering the effects of multiphysics factors on iron loss prediction accuracy for PMSMs, this thesis aims to propose an advanced analytical iron loss prediction model for interior PMSMs (IPMSMs), in which both the spatial harmonic from slotting and the carrier harmonics from the pulse width modulation (PWM) inverter, as well as the thermal and mechanical factors are all considered; (2) A system-level total loss model considering various loads and speeds is proposed, and based on this model, a minimum loss control strategy is derived; (3) Combining this loss controller, a multi-objective optimization system-level model is proposed to primarily enhance the efficiency and static/dynamic performance of the entire drive system; (4) Due to the time-consuming nature of directly applying multi-objective algorithms for the solution, a novel multi-level optimization algorithm combined with surrogate models is applied to decouple nonlinear and high-dimensional issues; and (5) Using simulation models and the prototype test platform, the proposed approaches and methodologies are all validated. The study can provide new theories and methods for the design and optimization of both electric motors and their drive systems, driving the development and innovation of related technologies, promoting industrial upgrading, and advancing technological progress.

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http://hdl.handle.net/10453/187590