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Optimal Gearshift Control for a Novel Hybrid Electric Drivetrain

Gavgani, AM, Sorniotti, A, Doherty, J and Cavallino, C (2016) Optimal Gearshift Control for a Novel Hybrid Electric Drivetrain Mechanism and Machine Theory, 105. pp. 352-368.

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Abstract

Torque-fill capability during gearshifts is an important customer requirement in automated transmission systems. This functionality can be achieved through transmission system layouts (e.g., based on dual-clutch technology) characterized by significant mechanical complexity, and hence with relatively high cost and mass. This paper describes a parallel hybrid electric drivetrain concept, based on the integration of an electric motor drive into a relatively simple six-speed automated manual transmission. The resulting hybrid electric drivetrain actuates the torque-fill function through control of the electric motor torque during the gearshifts on the engine side of the drivetrain. An optimal controller, based on the off-line computation of the control gain profiles, is presented for the clutch re-engagement phase. The novel controller allows computationally efficient consideration of clutch energy dissipation during the clutch re-engagement phase of the gearshift. The performance with the optimal controller is contrasted with that of two conventional clutch engagement controllers, along a set of gearshifts simulated with an experimentally validated vehicle model.

Item Type: Article
Subjects : Mechanical Engineering
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
AuthorsEmailORCID
Gavgani, AMUNSPECIFIEDUNSPECIFIED
Sorniotti, AUNSPECIFIEDUNSPECIFIED
Doherty, JUNSPECIFIEDUNSPECIFIED
Cavallino, CUNSPECIFIEDUNSPECIFIED
Date : November 2016
Identification Number : 10.1016/j.mechmachtheory.2016.06.016
Copyright Disclaimer : © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Depositing User : Symplectic Elements
Date Deposited : 15 Jun 2016 15:05
Last Modified : 15 Nov 2016 10:09
URI: http://epubs.surrey.ac.uk/id/eprint/811010

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