Multi-level Design Optimization of an IPMSM Drive System Considering an Improved Loss Model

Liu, L; Guo, Y; Lei, G; Zhu, J

Multi-level Design Optimization of an IPMSM Drive System Considering an Improved Loss Model

Liu, L Guo, Y

Lei, G

Zhu, J

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2022 32nd Australasian Universities Power Engineering Conference (AUPEC), 2023, 00
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Liu, L
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.contributor.author	Zhu, J
dc.date	2022-09-26
dc.date.accessioned	2024-05-03T03:30:00Z
dc.date.available	2024-05-03T03:30:00Z
dc.date.issued	2023-01-01
dc.identifier.citation	2022 32nd Australasian Universities Power Engineering Conference (AUPEC), 2023, 00
dc.identifier.isbn	9798350339567
dc.identifier.uri	http://hdl.handle.net/10453/178592
dc.description.abstract	The worsening in oil resource crisis and climate change has contributed to the widespread investigations and applications of electric vehicles (EVs). Meanwhile, the performance of electrical drive systems, as the most important power unit, corresponds directly to the operational stability, reliability and economy of EVs. This paper proposes a system-level design optimization approach for the EV drive system with an interior permanent magnet synchronous motor (IPMSM), targeting improved system efficiency, reduced torque ripple and minimal costs. Specifically, an improved system-level loss model, considering both the motor and control system losses, is presented for objective efficiency calculation. Moreover, to handle the high dimensional and nonlinear problem, the multi-level optimization strategy is employed, in which four subspaces containing parameters in both motor and control levels are defined based on the sensitivity to the objectives. The approximate models and optimization algorithms are utilized to reduce the computation cost of finite element analysis in each level. Finally, the proposed approaches are investigated with a practical IPMSM drive system used in EVs. Results illustrate the effectiveness and show that the proposed multi-level design optimization method with the improved system-level loss model can obtain parametric optimums, while maintaining better steady-state and dynamic system performances.
dc.language	en
dc.publisher	IEEE
dc.relation	http://purl.org/au-research/grants/arc/DP120104305
dc.relation	http://purl.org/au-research/grants/arc/DP180100470
dc.relation.ispartof	2022 32nd Australasian Universities Power Engineering Conference (AUPEC)
dc.relation.ispartof	32nd Australasian Universities Power Engineering Conference (AUPEC)
dc.relation.ispartofseries	Australasian Universities Power Engineering Conference
dc.relation.isbasedon	10.1109/aupec58309.2022.10216207
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Multi-level Design Optimization of an IPMSM Drive System Considering an Improved Loss Model
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	AUSTRALIA, Adelaide
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2025-08-21T00:00:00+1000Z
dc.date.updated	2024-05-03T03:29:58Z
pubs.finish-date	2022-09-28
pubs.publication-status	Published
pubs.start-date	2022-09-26
pubs.volume	00

Abstract:

The worsening in oil resource crisis and climate change has contributed to the widespread investigations and applications of electric vehicles (EVs). Meanwhile, the performance of electrical drive systems, as the most important power unit, corresponds directly to the operational stability, reliability and economy of EVs. This paper proposes a system-level design optimization approach for the EV drive system with an interior permanent magnet synchronous motor (IPMSM), targeting improved system efficiency, reduced torque ripple and minimal costs. Specifically, an improved system-level loss model, considering both the motor and control system losses, is presented for objective efficiency calculation. Moreover, to handle the high dimensional and nonlinear problem, the multi-level optimization strategy is employed, in which four subspaces containing parameters in both motor and control levels are defined based on the sensitivity to the objectives. The approximate models and optimization algorithms are utilized to reduce the computation cost of finite element analysis in each level. Finally, the proposed approaches are investigated with a practical IPMSM drive system used in EVs. Results illustrate the effectiveness and show that the proposed multi-level design optimization method with the improved system-level loss model can obtain parametric optimums, while maintaining better steady-state and dynamic system performances.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/178592