Title :

Simcenter Amesim virtual validation of a BEV using EMR methodology

Author(s) :

HUSAR, Calin [Auteur]
RACLARU, Eduard Edis [Auteur]
Deserveaux, Anatole [Auteur]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Sirbu, Gabriel Mihai [Auteur]
IRIMIA, Cristi [Auteur]
GROVU, Mihail [Auteur]
Bouscayrol, Alain [Auteur]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Boicea, Niculae [Auteur]
PONCHANT, Matthieu [Auteur]

Conference title :

2021 IEEE Vehicle Power and Propulsion Conference (VPPC)

City :

Online

Country :

Espagne

Start date of the conference :

2021-10-25

Publisher :

IEEE

Publication date :

2021-10

English keyword(s) :

electric vehicles
Energetic Macroscopic Representation
Renault Zoe
1D simulation
validation
Simcenter Amesim

HAL domain(s) :

Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Génie mécanique [physics.class-ph]

English abstract : [en]

As stricter regulations on air quality are imposed on automotive manufacturers, simulation is playing a more important role in the electric vehicles design and production. Virtual testing helps reduce the costs of assessing ...
Show more >As stricter regulations on air quality are imposed on automotive manufacturers, simulation is playing a more important role in the electric vehicles design and production. Virtual testing helps reduce the costs of assessing vehicle performances and flaws which can be corrected early on, before the real testing is begun. This paper presents the validation, using Simcenter Amesim, of a virtual battery electric vehicle model with real measured data from the real Renault Zoe vehicle on track. The validated models give confidence in future reuse for other virtual testing scenarios, allowing to perform the tests in the digital domain, early in the development cycle, without the need of expensive and time-consuming real testing platforms.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

European Project :

Powerfull Advanced N-Level Digitalization Architecture for models of electrified vehicles and their components

Administrative institution(s) :

Université de Lille
Centrale Lille
Arts et Métiers Sciences et Technologies
Junia HEI

Collections :

• Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697

Research team(s) :

Équipe Commande

Submission date :

2022-07-06T20:57:20Z
2022-07-07T08:04:00Z