Comprehensive design and optimization of an electric vehicle powertrain equipped with a two-speed dual-clutch transmission

Wang, Y; Lü, E; Lu, H; Zhang, N; Zhou, X

Comprehensive design and optimization of an electric vehicle powertrain equipped with a two-speed dual-clutch transmission

Wang, Y Lü, E Lu, H Zhang, N

Zhou, X

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Publication Type:: Journal Article
Citation:: Advances in Mechanical Engineering, 2017, 9 (1)
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Wang, Y	en_US
dc.contributor.author	Lü, E	en_US
dc.contributor.author	Lu, H	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.contributor.author	Zhou, X	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Advances in Mechanical Engineering, 2017, 9 (1)	en_US
dc.identifier.issn	1687-8132	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124023
dc.description.abstract	© The Author(s) 2017. This article develops a systematic model to study electric vehicle powertrain system efficiency by combining a detailed model of two-speed dual-clutch transmission system efficiency losses with an electric vehicle powertrain system model. In this model, the design factors including selection of the electric machine, gear ratios' change, multi-plate wet clutch design, and gear shift schedule design are considered. Meanwhile, the application of detailed model for drag torque losses in the gearbox is discussed. Furthermore, the proposed model, developed with the MATLAB/Simulink platform, is applied to optimize/maximize the efficiency of the electric vehicle powertrain system using genetic algorithms. The optimization results demonstrate that the optimal results are different between simulations via New Europe Drive Cycle and Urban Dynamometer Driving Schedule, and comprehensive design and optimization of the powertrain system are necessary.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP1096847
dc.relation.ispartof	Advances in Mechanical Engineering	en_US
dc.relation.isbasedon	10.1177/1687814016683144	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Comprehensive design and optimization of an electric vehicle powertrain equipped with a two-speed dual-clutch transmission	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	9	en_US
utslib.for	0913 Mechanical Engineering	en_US
pubs.embargo.period	Not known	en_US
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 Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	9	en_US

Abstract:

© The Author(s) 2017. This article develops a systematic model to study electric vehicle powertrain system efficiency by combining a detailed model of two-speed dual-clutch transmission system efficiency losses with an electric vehicle powertrain system model. In this model, the design factors including selection of the electric machine, gear ratios' change, multi-plate wet clutch design, and gear shift schedule design are considered. Meanwhile, the application of detailed model for drag torque losses in the gearbox is discussed. Furthermore, the proposed model, developed with the MATLAB/Simulink platform, is applied to optimize/maximize the efficiency of the electric vehicle powertrain system using genetic algorithms. The optimization results demonstrate that the optimal results are different between simulations via New Europe Drive Cycle and Urban Dynamometer Driving Schedule, and comprehensive design and optimization of the powertrain system are necessary.

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http://hdl.handle.net/10453/124023