| Autor: |
Sajib Chakraborty, Mohamed El Baghdadi, Joris Jaguemont, Cedric De Cauwer, Bicheng Chen, Alexander Wahl, Patrick Manns, Caroline Ngo, Antonio Sciarretta, Omar Hegazy |
| Přispěvatelé: |
Faculty of Engineering, Electrical Engineering and Power Electronics, Electromobility research centre |
| Rok vydání: |
2021 |
| Zdroj: |
2021 IEEE Vehicle Power and Propulsion Conference (VPPC) |
| DOI: |
10.1109/vppc53923.2021.9699175 |
| Popis: |
In automotive industries, virtual vehicle platforms are gaining priority during the early development phases to define the component sizing and optimize several control strategies. However, a detailed modelling approach including electrical and thermal behaviours for cloud-connected battery electric vehicles (BEVs) is missing in the literature. The aim of this paper is to present a parameterized connected electrothermal modelling of the BEV. The proposed virtual simulation framework is essential for developing and testing advanced and smart charging, energy and thermal management strategies before performing expensive and time-consuming physical tests. Furthermore, the flexible parameterization allows optimal sizing of powertrain components and supports the system design in the early design and development phases. The parameterized cloud connected BEV modelling is carried out using MATLAB/Simulink® software. This connected BEV simulation platform is prepared as a part of the H2020 EU project called CEVOLVER, and the simulation results are verified with the results found in the literature. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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