Driving mode shift control for planetary gear based dual motor powertrain in electric vehicles

Wu, J; Zhang, N

Driving mode shift control for planetary gear based dual motor powertrain in electric vehicles

Wu, J Zhang, N

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Mechanism and Machine Theory, 2021, 158
Issue Date:: 2021-04-01

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Field	Value	Language
dc.contributor.author	Wu, J
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044
dc.date.accessioned	2022-04-18T18:51:08Z
dc.date.available	2022-04-18T18:51:08Z
dc.date.issued	2021-04-01
dc.identifier.citation	Mechanism and Machine Theory, 2021, 158
dc.identifier.issn	0094-114X
dc.identifier.issn	1873-3999
dc.identifier.uri	http://hdl.handle.net/10453/156332
dc.description.abstract	To reduce the vehicle jerk in mode shift, this paper investigates the driving torque control strategies of the planetary gear based dual motor powertrain. The rigid dynamic model of powertrain is built to formulate a general energy management strategy (EMS) and a robust EMS which avoids the drastically change of motors speed. A flexible dynamic model considering the flexible shafts is then built to accurately simulate the vehicle jerk. Based on the linear and polynomials function, two types of coordinated speed trajectories of motors are designed to transfer the discrete speed signals produced by EMS to continuous signals. A speed feedback control strategy and a combination control strategy of speed feedback and torque feedforward are proposed to implement the mode shift. The comparisons between EMS and robust EMS, linear and polynomials speed trajectories, speed feedback control and combination control are demonstrated by simulation. The results indicate that the robust EMS and polynomials speed trajectories can reduce vehicle jerk. The speed feedback control strategy is more stable than the combination control strategy when the model parameters are inaccurate.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	Mechanism and Machine Theory
dc.relation.isbasedon	10.1016/j.mechmachtheory.2020.104217
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering, 0910 Manufacturing Engineering, 0913 Mechanical Engineering
dc.subject.classification	Design Practice & Management
dc.title	Driving mode shift control for planetary gear based dual motor powertrain in electric vehicles
dc.type	Journal Article
utslib.citation.volume	158
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0910 Manufacturing Engineering
utslib.for	0913 Mechanical Engineering
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	closed_access	*
dc.date.updated	2022-04-18T18:51:05Z
pubs.publication-status	Published
pubs.volume	158

Abstract:

To reduce the vehicle jerk in mode shift, this paper investigates the driving torque control strategies of the planetary gear based dual motor powertrain. The rigid dynamic model of powertrain is built to formulate a general energy management strategy (EMS) and a robust EMS which avoids the drastically change of motors speed. A flexible dynamic model considering the flexible shafts is then built to accurately simulate the vehicle jerk. Based on the linear and polynomials function, two types of coordinated speed trajectories of motors are designed to transfer the discrete speed signals produced by EMS to continuous signals. A speed feedback control strategy and a combination control strategy of speed feedback and torque feedforward are proposed to implement the mode shift. The comparisons between EMS and robust EMS, linear and polynomials speed trajectories, speed feedback control and combination control are demonstrated by simulation. The results indicate that the robust EMS and polynomials speed trajectories can reduce vehicle jerk. The speed feedback control strategy is more stable than the combination control strategy when the model parameters are inaccurate.

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http://hdl.handle.net/10453/156332