Authors:
Moncef Hammadi
;
Jean-Yves Choley
;
Olivia Penas
and
Alain Riviere
Affiliation:
SUPMECA-PARIS, France
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.