Production et transformation de l’énergie électrique : Modélisation des systèmes, électronique de puissance appliquée, réseaux électriques et sources dispersées, étude des matériaux magnétiques, conception et optimisation de machines et de systèmes, mise en œuvre des actionneurs piézoélectriques.

Voir le site du laboratoire L2EP :
https://l2ep.univ-lille.fr/

Recent Submissions

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  Comparison of parametric model order reduction methods to solve magneto-quasistatic and electro-quasistatic problems 

  Article dans une revue avec comité de lecture

  CHEN, Wei; HENNERON, Thomas; CLENET, Stephane (Elsevier, 2025-12)

  In this paper, we compare two parametric model order reduction methods, the multi-moment matching method and the interpolation of projection subspaces method for the magneto-quasistatic (MQS) and electro-quasistatic (EQS) ...
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  Methods for Determining the Magnetic State of Permanent Magnets on Rotors, in a Perspective of End of Life of Electric Machines 

  Article dans une revue avec comité de lecture

  SAGNA, Alphousseyni; MANSOUR, G.; PERRY, Nicolas; CLENET, Stephane; TOUNZI, Abdelmounaïm (Springer Nature Switzerland, 2025-01-31)

  Faced with the rising number of electric vehicles, the recycling of permanent magnet (PM) rotors of electrical machines is a pivotal concern since PM, for this, application are generally made with Critical Raw Materials, ...
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  Error Estimation of the Cauer Ladder Network Method for the Time-Domain Analysis and Its Application to a Multiport System 

  Article dans une revue avec comité de lecture

  TOBITA, Miwa; CLÉNET, Stéphane; HIRUMA, Shingo; CHEN, Wei; MATSUO, Tetsuji (Institute of Electrical and Electronics Engineers (IEEE), 2024-12)

  The Cauer ladder network (CLN) method can accelerate eddy current field analysis of electromagnetic devices in the time domain by reducing the order of the finite element (FE) model. To control its accuracy, the reduction ...
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  Model order reduction of an electro-quasistatic problem using CLN method 

  Article dans une revue avec comité de lecture

  CHEN, Wei; HENNERON, Thomas; CLÉNET, Stéphane; DELAGNES, Théo; ZOU, Jun (Elsevier BV, 2024-10)

  The Cauer ladder network (CLN) method, as proposed by Kameari et al. (2018), has been extensively studied to construct a reduced model of magneto-quasistatic (MQS) Finite Element (FE) models. In this case, this method ...
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  Multi-scale magnetic aging model: Precipitation kinetics and magnetic hysteresis coupling 

  Article dans une revue avec comité de lecture

  DANSCOISNE, Fabien; HEIBLING, Hugo; BENABOU, Abdelkader; CLENET, Stephane; DUMONT, Myriam (Elsevier, 2025-10)

  Operating temperatures of electrical machines are known to cause various effects on magnetic performances and losses. On the one hand, reversible contributions may reduce iron losses through temporary lowering of conductivity, ...
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  Convolutional Neural Network for the Classification of the Control Mode of Grid-Connected Power Converters 

  Article dans une revue avec comité de lecture

  OUALI, Rabah; LEGRY, Martin; DIEULOT, Jean-Yves; YIM, Pascal; GUILLAUD, Xavier; COLAS, Frédéric (MDPI, 2024-12)

  With the integration of power converters into the power grid, it becomes crucial for the Transmission System Operator (TSO) to ascertain whether they are operating in Grid Forming or Grid Following modes. Due to intellectual ...
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  EMT simulation of an MTDC system integrating Modular Multilevel DC/DC converter with DC voltage control 

  Communication avec acte

  SHAFIQUE, Ghazala; COLAS, Frédéric; GRUSON, François; GUILLAUD, Xavier (2024)

  The increasing demand to utilize renewable energy necessitates the transmission of power over long distances. HVDC technology has emerged as the optimal solution for this purpose due to fewer losses and good economic ...

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