Functional Model-based Resource Management: An Application to the Electric Vehicle Thermal Control

Baptiste Boyer, Philippe Fiani, Guillaume Sandou, Emmanuel Godoy, Cristina Vlad

2020

Abstract

Environmental and economical constraints lead to designing more and more complex systems. To face these issues, Model Based System Engineering proposes an approach based on an interconnected multi point of view system modeling. Each representation of the system has a different abstraction level that is valuable at different stages of the system design and suits its own objectives respectively: 1) purposes and global constraints definition, 2) architecture choices, components sizing and strategies testing, 3) accurate simulation results on various scenarios. Interconnections between the different levels have two objectives: on one hand be able to define the requirements of a lower level using higher level information and on the other hand send back simulation variable values from a lower level to evaluate the higher level requirements satisfaction. Resource management is carried out through a functional model, which is a macroscopic and low-complexity model of the system providing fast simulation results. In this paper, this multi-level methodology is applied to the thermal system management of an electric vehicle in order to optimize its resource management. The different levels design and the development of their interconnections are detailed.

Paper Citation

in Harvard Style

Boyer B., Fiani P., Sandou G., Godoy E. and Vlad C. (2020). Functional Model-based Resource Management: An Application to the Electric Vehicle Thermal Control.In Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-442-8, pages 565-575. DOI: 10.5220/0009769905650575

in Bibtex Style

@conference{icinco20,
author={Baptiste Boyer and Philippe Fiani and Guillaume Sandou and Emmanuel Godoy and Cristina Vlad},
title={Functional Model-based Resource Management: An Application to the Electric Vehicle Thermal Control},
booktitle={Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2020},
pages={565-575},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009769905650575},
isbn={978-989-758-442-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Functional Model-based Resource Management: An Application to the Electric Vehicle Thermal Control
SN - 978-989-758-442-8
AU - Boyer B.
AU - Fiani P.
AU - Sandou G.
AU - Godoy E.
AU - Vlad C.
PY - 2020
SP - 565
EP - 575
DO - 10.5220/0009769905650575