Powertrain dynamics and control of a two speed dual clutch transmission for electric vehicles

Walker, P; Zhu, B; Zhang, N

Powertrain dynamics and control of a two speed dual clutch transmission for electric vehicles

Walker, P

Zhu, B Zhang, N

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Publication Type:: Journal Article
Citation:: Mechanical Systems and Signal Processing, 2017, 85 pp. 1 - 15
Issue Date:: 2017-02-15

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Field	Value	Language
dc.contributor.author	Walker, P https://orcid.org/0000-0003-3988-3966	en_US
dc.contributor.author	Zhu, B	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.date.available	2020-05-25T19:11:13Z
dc.date.issued	2017-02-15	en_US
dc.identifier.citation	Mechanical Systems and Signal Processing, 2017, 85 pp. 1 - 15	en_US
dc.identifier.issn	0888-3270	en_US
dc.identifier.uri	http://hdl.handle.net/10453/60379
dc.description.abstract	© 2016 Elsevier Ltd The purpose of this paper is to demonstrate the application of torque based powertrain control for multi-speed power shifting capable electric vehicles. To do so simulation and experimental studies of the shift transient behaviour of dual clutch transmission equipped electric vehicle powertrains is undertaken. To that end a series of power-on and power-off shift control strategies are then developed for both up and down gear shifts, taking note of the friction load requirements to maintain positive driving load for power-on shifting. A mathematical model of an electric vehicle powertrain is developed including a DC equivalent circuit model for the electric machine and multi-body dynamic model of the powertrain system is then developed and integrated with a hydraulic clutch control system model. Integral control of the powertrain is then performed through simulations on the develop powertrain system model for each of the four shift cases. These simulation results are then replicated on a full scale powertrain test rig. To evaluate the performance of results shift duration and vehicle jerk are used as metrics to demonstrate that the presented strategies are effective for shift control in electric vehicles. Qualitative comparison of both theoretical and experimental results demonstrates reasonable agreement between simulated and experimental outcomes.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP150102751
dc.relation	http://purl.org/au-research/grants/arc/DE170100134
dc.relation.ispartof	Mechanical Systems and Signal Processing	en_US
dc.relation.isbasedon	10.1016/j.ymssp.2016.07.043	en_US
dc.subject.classification	Acoustics	en_US
dc.title	Powertrain dynamics and control of a two speed dual clutch transmission for electric vehicles	en_US
dc.type	Journal Article
utslib.citation.volume	85	en_US
utslib.for	090205 Hybrid Vehicles and Powertrains	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0915 Interdisciplinary 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.publication-status	Published	en_US
pubs.volume	85	en_US

Abstract:

© 2016 Elsevier Ltd The purpose of this paper is to demonstrate the application of torque based powertrain control for multi-speed power shifting capable electric vehicles. To do so simulation and experimental studies of the shift transient behaviour of dual clutch transmission equipped electric vehicle powertrains is undertaken. To that end a series of power-on and power-off shift control strategies are then developed for both up and down gear shifts, taking note of the friction load requirements to maintain positive driving load for power-on shifting. A mathematical model of an electric vehicle powertrain is developed including a DC equivalent circuit model for the electric machine and multi-body dynamic model of the powertrain system is then developed and integrated with a hydraulic clutch control system model. Integral control of the powertrain is then performed through simulations on the develop powertrain system model for each of the four shift cases. These simulation results are then replicated on a full scale powertrain test rig. To evaluate the performance of results shift duration and vehicle jerk are used as metrics to demonstrate that the presented strategies are effective for shift control in electric vehicles. Qualitative comparison of both theoretical and experimental results demonstrates reasonable agreement between simulated and experimental outcomes.

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http://hdl.handle.net/10453/60379