Konferensartikel

Dual-Clutch Transmission Model Reduction Function

Romain Gillot
Claytex Services Ltd. Edmund House, Rugby Road, Leamington Spa, UK

Alessandro Picarelli
Claytex Services Ltd. Edmund House, Rugby Road, Leamington Spa, UK

Mike Dempsey
Claytex Services Ltd. Edmund House, Rugby Road, Leamington Spa, UK

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp1814866

Ingår i: Proceedings of the 2nd Japanese Modelica Conference, Tokyo, Japan, May 17-18, 2018

Linköping Electronic Conference Proceedings 148:9, s. 66-70

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Publicerad: 2019-02-21

ISBN: 978-91-7685-266-8

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

This paper introduces a gearset model reduction function. It is an automated process that works for any type of gear set. The focus is on a dual-clutch transmission (DCT). Reducing the transmission from a multibody model to a table-based loss and inertia 1D rotational mechanics model leads up to a 70% decrease in simulation time. This performance improvement allows engineers to run a detailed physics derived model over the NEDC urban section in real-time or faster. Many customers have expressed the need for an automated model reduction tool. This paper aims at describing the methodology to create one. This function will be included in the next release of the VeSyMA – Powertrain library.

Nyckelord

model reduction, dual-clutch transmission, gear set

Referenser

Gallagher Stephen. et al. Model-based Real-time Systems Engineering, Loughborough, England, Powertrain Modelling and Control Conference, 2016

Dempsey Mike. et al Coordinated automotive libraries for vehicle system modelling, Vienna, Austria, Proceedings of the 5th International Modelica Conference, 2006

Dempsey Mike. et al. Investigating the Multibody Dynamics of the Complete Powertrain System, Como, Italy, Proceedings of the 7th Modelica Conference, 2009

Gillot Romain, Picarelli Alessandro, Dempsey Mike. Model Reduction Techniques Applied to a Physical Vehicle Model for HiL Testing, Prague, Czech Republic, Proceedings of the 12th Modelica Conference, 2017

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