EMR-Based Signal-HIL Testing of an Electric Vehicle Control | Genic, A.
/5

0 avis

EMR-Based Signal-HIL Testing of an Electric Vehicle Control

Archive ouverte : Communication dans un congrès

Genic, A. | Mayet, C. | Almeida, M. | Bouscayrol, A. | Stojkov, N.

Edité par HAL CCSD ; IEEE

International audience. 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.

Consulter en ligne

Suggestions

Du même auteur

Comparison of Continuous and Discrete Variable Transmissions for Parallel HEVs | Desreveaux, A.

Comparison of Continuous and Discrete Variable Transmissions for Parallel H...

Archive ouverte: Communication dans un congrès

Desreveaux, A. | 2016-10-17

International audience

Different models of an energy storage subsystem for a hybrid locomotive | Mayet, C.

Different models of an energy storage subsystem for a hybrid locomotive

Archive ouverte: Communication dans un congrès

Mayet, C. | 2013-09-02

International audience

Forward and Backward simulations of a power propulsion system | Horrein, L.

Forward and Backward simulations of a power propulsion system

Archive ouverte: Article de revue

Horrein, L. | 2012

International audience

Du même sujet

Reading History of Science as a Physics and Mathematics Framework for Newton Geneva Edition (1822) | Pisano, Raffaele

Reading History of Science as a Physics and Mathematics Framework for Newto...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-04-19

International audience

On Mechanics and Thermodynamics Analogies in History of Physics-Mathematics and Teaching Science | Pisano, Raffaele

On Mechanics and Thermodynamics Analogies in History of Physics-Mathematics...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-05-12

International audience

On the epistemic interplay between physics and mathematics such as a dynamical framework within nos–research teaching science | Pisano, Raffaele

On the epistemic interplay between physics and mathematics such as a dynami...

Archive ouverte: Communication dans un congrès

Pisano, Raffaele | 2017-06-12

International audience

A CMOS Compatible Thermoelectric Device made of Crystalline Silicon Membranes with Nanopores | Bah, Thierno-Moussa

A CMOS Compatible Thermoelectric Device made of Crystalline Silicon Membran...

Archive ouverte: Article de revue

Bah, Thierno-Moussa | 2022-12-10

International audience. Herein, we report the use of nanostructured crystalline silicon as a thermoelectric material and its integration into thermoelectric devices. The proof-of-concept relies on the partial suppre...

Effet de l'angle de charge sur les harmoniques d'efforts magnétiques dans les machines synchrones à aimants permanents surfaciques | Le Besnerais, Jean

Effet de l'angle de charge sur les harmoniques d'efforts magnétiques dans l...

Archive ouverte: Communication dans un congrès

Le Besnerais, Jean | 2016-06-07

International audience. Cet article étudie l'effet de l'angle de charge sur les efforts harmoniques de Maxwell (tangentiels et radiaux) et les bruits et vibrations d'origine magnétique dans deux machines synchrones ...

Further investigation of convolutional neural networks applied in computational electromagnetism under physics‐informed consideration | Gong, Ruohan

Further investigation of convolutional neural networks applied in computati...

Archive ouverte: Article de revue

Gong, Ruohan | 2022-04-07

International audience. Convolutional neural networks (CNN) have shown great potentials and have been proven to be an effective tool for some image-based deep learning tasks in the field of computational electromagn...

Chargement des enrichissements...