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Authors: Moncef Hammadi ; Jean-Yves Choley ; Olivia Penas and Alain Riviere

Affiliation: SUPMECA-PARIS, France

ISBN: 978-989-8565-20-4

ISSN: 2184-2841

Keyword(s): Mechatronic Design, Optimization, Surrogate Models, Modelica, Electric Vehicle.

Related Ontology Subjects/Areas/Topics: Application Domains ; Automotive Industry ; Case Studies ; Formal Methods ; Health Engineering and Technology Applications ; Mobile Software and Services ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Optimization Issues ; Robotics, Automation and Mechatronics ; Simulation and Modeling ; Simulation Tools and Platforms ; Stochastic Modeling and Simulation ; Telecommunications ; Wireless Information Networks and Systems

Abstract: Preliminary optimization of mechatronic systems is an extremely important step in the development process of multi-disciplinary products. However, long computing time in optimization based on multi-domain modelling tools need to be reduced. Surrogate model technique comes up as a solution for decreasing time computing in multi-disciplinary optimization. In this paper, an electric vehicle has been optimized by combining Modelica modelling language with surrogate model technique. Modelica has been used to model the electric vehicle and surrogate model technique has been used to optimize the electric motor and the transmission gear ratio. Results show that combining surrogate model technique with Modelica reduces significantly computing time without much decrease in accuracy.

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Paper citation in several formats:
Hammadi, M.; Choley, J.; Penas, O. and Riviere, A. (2012). Mechatronic System Optimization based on Surrogate Models - Application to an Electric Vehicle. In Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH, ISBN 978-989-8565-20-4; ISSN 2184-2841, pages 11-16. DOI: 10.5220/0004011900110016

@conference{simultech12,
author={Moncef Hammadi. and Jean{-}Yves Choley. and Olivia Penas. and Alain Riviere.},
title={Mechatronic System Optimization based on Surrogate Models - Application to an Electric Vehicle},
booktitle={Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH,},
year={2012},
pages={11-16},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004011900110016},
isbn={978-989-8565-20-4},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH,
TI - Mechatronic System Optimization based on Surrogate Models - Application to an Electric Vehicle
SN - 978-989-8565-20-4
IS - 2184-2841
AU - Hammadi, M.
AU - Choley, J.
AU - Penas, O.
AU - Riviere, A.
PY - 2012
SP - 11
EP - 16
DO - 10.5220/0004011900110016

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