“Simcenter Amesim virtual validation of a BEV using EMR methodology”

Title: Simcenter Amesim virtual validation of a BEV using EMR methodology

Written by: Calin Husar, Cristi Irimia, Gabriel-Mihai Sirbu, Niculae Boicea, Matthieu Ponchant, Eduard Raclaru, Mihail Grovu

Abstract: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.

Costs, Simulation, Prototypes, Predictive models, Propulsion, Electric vehicles, Data models, electric vehicles, Energetic Macroscopic Representation, Renault Zoe, 1D simulation, validation, Simcenter Amesim

Orginal article: https://ieeexplore.ieee.org/document/9699204