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Your search keyword '"Mesbahi, Tedjani"' showing total 3 results
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3 results on '"Mesbahi, Tedjani"'

1. Energy Management Strategy with Adaptive Cut-off Frequency for Hybrid Energy Storage System in Electric Vehicles

Author

Ghoulam, Yasser, Pavot, Thomas, Mamouri, Lakhdar, Mesbahi, Tedjani, Durand, Sylvain, Lallement, Christophe, Kiefer, Renaud, Laroche, Edouard, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Published
2022
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2. Improved control strategy of dual star permanent magnet synchronous generator based tidal turbine system using sensorless field oriented control and direct power control techniques

Author

Ferahtia, Seydali, Djeroui, Ali, Mesbahi, Tedjani, Zeghlache, Samir, Rezk, Hegazy, Paul, Théophile, Amirouche, Elyazid, Iffouzar, Koussaila, Houari, Azeddine, Ghedamsi, Kaci, Aouzellag, Djamal, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Energie Electrique de Nantes Atlantique EA4642 (IREENA), Institut Universitaire de Technologie Saint-Nazaire (IUT Saint-Nazaire), Université de Nantes (UN)-Université de Nantes (UN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Institut Universitaire de Technologie - La Roche-sur-Yon (IUT La Roche-sur-Yon), and Université de Nantes (UN)-Université de Nantes (UN)

Subjects
Vector control, Renewable Energy, Sustainability and the Environment, Computer science, business.industry, 020209 energy, Energy Engineering and Power Technology, Astrophysics::Cosmology and Extragalactic Astrophysics, 02 engineering and technology, Permanent magnet synchronous generator, Star (graph theory), Dual (category theory), Reduction (complexity), [SPI]Engineering Sciences [physics], Extended Kalman filter, Fuel Technology, 020401 chemical engineering, Nuclear Energy and Engineering, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Astrophysics::Earth and Planetary Astrophysics, 0204 chemical engineering, business, Tidal power, Astrophysics::Galaxy Astrophysics, Power control
Abstract

International audience; This paper aims at presenting an energy management strategy (EMS) based upon optimal control theory for a battery–supercapacitor hybrid power system. The hybrid power system consists of a lithium-ion battery and a supercapacitor with associated bidirectional DC/DC converters. The proposed EMS aims at computing adaptive gains using the salp swarm algorithm and load following control technique to assign the power reference for both the supercapacitor and the battery while achieving optimal performance and stable voltage. The DC/DC converter model is derived utilizing the first-principles method and computes the required gains to achieve the desired power. The fact that the developed algorithm takes disturbances into account increases the power elements’ life expectancies and supplies the power system with the required power.

Published
2021
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3. Modeling, Identification and Simulation of Hybrid Battery/Supercapacitor Storage System Used in Vehicular Applications

Author

Paul Theophile, Mesbahi Tedjani, Durand Sylvain, and Ghoulam Yasser

Subjects
Supercapacitor, Battery (electricity), Test bench, business.product_category, business.industry, Computer science, Converters, Energy storage, Automotive engineering, Hardware_GENERAL, Electric vehicle, Computer data storage, business, Hybrid vehicle
Abstract

Energy storage system would play a crucial role in the electric and hybrid vehicle applications. This paper presents modeling, identification and validation of the behavior of two energy storage devices, battery and supercapacitor, used for a hybrid energy storage system (HESS) in electric vehicle applications. Besides of both main storage elements, the HESS includes bi-directional DC/DC power converters suitable for power electronic interface between the battery main energy storage system and the supercapacitor. Design and modeling of the DC/DC power converter is discussed in this study. The electric state-space models of both power sources, battery and supercapacitor, are also developed. And following that lead, the identification of both storage components constituting the HESS is carried out via many optimization methods based on laboratory experimental data of an urban electric vehicle. The obtained results show the good performance of the state space developed models comparing with the experimental results from a test bench developed in our laboratory.

Published
2019
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