Article | Proceedings of the 2nd Japanese Modelica Conference Tokyo, Japan, May 17-18, 2018 | Composable Modelling for a Hybrid Gearbox Linköping University Electronic Press Conference Proceedings
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Title:
Composable Modelling for a Hybrid Gearbox
Author:
Joshua Sutherland: Department of System Innovation, The University of Tokyo, Japan Rui Gao: Modelon KK, Tokyo, Japan
DOI:
10.3384/ecp18148187
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of the 2nd Japanese Modelica Conference Tokyo, Japan, May 17-18, 2018
Issue:
148
Article no.:
027
Pages:
187-194
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2019-02-21
ISBN:
978-91-7685-266-8
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Gearbox modelling is an important topic to the simulation community due to its difficulty in representing mixed continuous and discrete behaviour. Such kind of models also usually couple the loss of power that is dependent on the angular velocity and the load. However, one single gearbox model with a certain fidelity cannot satisfy the broader needs of modelling during product development. In this paper, we will address hybrid modelling issues and take the gearbox model as an example to illustrate how to model gearboxes from a Systems Engineering perspective. A supervisor and supervised model structure is investigated that could also be regarded as a use case to a general cyber-physical modelling approach. The resultant model achieves the same output as the LossyGear model in Modelica Standard Library.

Keywords: Hybrid model, Gearbox, Loss power, Cyber-physical

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

Author:
Joshua Sutherland, Rui Gao
Title:
Composable Modelling for a Hybrid Gearbox
DOI:
http://dx.doi.org/10.3384/ecp18148187
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Proceedings of the 2nd Japanese Modelica Conference Tokyo, Japan, May 17-18, 2018

Author:
Joshua Sutherland, Rui Gao
Title:
Composable Modelling for a Hybrid Gearbox
DOI:
https://doi.org10.3384/ecp18148187
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