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research-article

An Automated Model-order Reduction Method for Automatic Transmissions

[+] Author and Article Information
Vanja Ranogajec

University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Ivana Lučića 5 HR-10002, Zagreb, Croatia
vanja.ranogajec@fsb.hr

Joško Deur

University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Ivana Lučića 5 HR-10002, Zagreb, Croatia
josko.deur@fsb.hr

1Corresponding author.

ASME doi:10.1115/1.4035607 History: Received February 25, 2016; Revised December 14, 2016

Abstract

New generation of torque converter automatic transmissions (AT) includes a large number of gears for improved fuel economy and vehicle performance, which leads to exponentially increasing number of shift types and shift events. In order to facilitate various numerical/simulation analyses of AT dynamics, shift control optimization, and control strategy design, a full-order AT model is usually reduced by eliminating state variables related to locked clutches in particular gears or shifts. The paper proposes an automated model-order reduction method for an arbitrary, user-specified clutch state, and demonstrates its application on an example of 10-speed AT. The method is based on determining the locked-clutch torque variables and their substitution into the full-order state-space model input vector, as well as finding a linear relation between the reduced-order and full-order model state-space variables.

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