Multi architecture optimization of a Hybrid Electric Vehicle Using Object-Oriented Programming
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Multi architecture optimization of a Hybrid Electric Vehicle Using Object-Oriented Programming |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | Gan S, Chrenko D, Bouillot P, Le Moyne L |
| Conference Name | 2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) |
| Publisher | IEEE; Alstom; Sonceboz; Femto st Sci & Technologies; FC Lab Res; IEEE VTS; Megevh; Univ Bourgogne Franche Comte; Univ Franche Comte; Univ Technologie Belfort Montbeliard; IUT Belfort Montbeliard; UFR STGI; Univ Technologie Belfort Montbeliard, Departement |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5386-1317-7 |
| Mots-clés | Energetic Macroscopic Representation, Hybrid electric vehicle, Multi Objective Dimensioning, Object Oriented Programming |
| Résumé | This article presents an energetic macroscopic representation multi-architecture model for hybrid vehicles using object-oriented programming. This approach is successfully used to evaluate the power performance and fuel consumption of different vehicles on different driving cycles. An optimization of power source sizing (ICE, EM and Battery) and system control, based on simulation results, is carried. Different architectures are compared for given cycles and optimization of hybrid architecture will also be possible. |