EMR-Based Signal-HIL Testing of an Electric ...
Document type :
Communication dans un congrès avec actes
Permalink :
Title :
EMR-Based Signal-HIL Testing of an Electric Vehicle Control
Author(s) :
Genic, A. [Auteur]
Mayet, Clément [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Almeida, M. [Auteur]
Bouscayrol, Alain [Auteur]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697
Stojkov, N. [Auteur]
Mayet, Clément [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Almeida, M. [Auteur]
Bouscayrol, Alain [Auteur]

Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697
Stojkov, N. [Auteur]
Conference title :
2017 IEEE Vehicle Power and Propulsion Conference (VPPC)
City :
Belfort
Country :
France
Start date of the conference :
2017-12-11
Book title :
2017 IEEE Vehicle Power and Propulsion Conference (VPPC)
Publisher :
IEEE
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [en]
Efficient control and energy management are essential for new clean and environmentally friendly vehicles. Nevertheless, such controls require skills in various scientific fields (power electronics, electric machines, ...
Show more >Efficient control and energy management are essential for new clean and environmentally friendly vehicles. Nevertheless, such controls require skills in various scientific fields (power electronics, electric machines, automatic control, mechanical engineering, etc.). Organization tools, such as Energetic Macroscopic Representation (EMR), have therefore been developed to improve the control of complex systems. In this paper, the control of an Electric Vehicle (EV) is deduced using the EMR. The validation of the control is carried out using a real-time Signal Hardware-In- the-Loop (S-HIL) simulation using Typhoon HIL devices. An EMR library for the Typhoon HIL simulation tool has been developed for this purpose.Show less >
Show more >Efficient control and energy management are essential for new clean and environmentally friendly vehicles. Nevertheless, such controls require skills in various scientific fields (power electronics, electric machines, automatic control, mechanical engineering, etc.). Organization tools, such as Energetic Macroscopic Representation (EMR), have therefore been developed to improve the control of complex systems. In this paper, the control of an Electric Vehicle (EV) is deduced using the EMR. The validation of the control is carried out using a real-time Signal Hardware-In- the-Loop (S-HIL) simulation using Typhoon HIL devices. An EMR library for the Typhoon HIL simulation tool has been developed for this purpose.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Research team(s) :
Équipe Commande
Submission date :
2020-05-15T13:25:13Z
2022-03-11T10:52:38Z
2022-03-11T10:52:38Z