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Auger F.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Hilairet M.,University Paris - Sud | Hilairet M.,University of Franche Comte | Guerrero J.M.,University of Aalborg | And 3 more authors.
IEEE Transactions on Industrial Electronics | Year: 2013

The Kalman filter (KF) has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 1970s, ranging, without being exhaustive, trajectory estimation, state and parameter estimation for control or diagnosis, data merging, signal processing, and so on. This paper provides a brief overview of the industrial applications and implementation issues of the KF in six topics of the industrial electronics community, highlighting some relevant reference papers and giving future research trends. © 1982-2012 IEEE. Source


Le Claire J.C.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Benkhoris M.F.,CNRS Nantes Atlantique Electrical Engineering Research Institute
2015 17th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2015 | Year: 2015

This paper deals with controls of a converter, where two paralleled-inverters are used. One inverter acts as a master unit and the other one acts as a slave unit. Thanks to these controls, an accurate tracking of the references is got and the output voltage ripples are lowered. As the goal is not to expand the system capacity, the slave unit delivers the currents to the load and becomes the power source meanwhile the master unit is in charge of the output voltage regulations. Thus the master unit compensates the ripples of the slave module output currents. In order to understand the proposed strategy, it is necessary to start with the operation of the Phase-Shift Self-Oscillating controllers. Then the operation of the paralleled-inverters is explained and a model of the power circuit is investigated. Simulations and experiments confirm the high performances in terms of ripples rejections. © 2015 EPE Association and IEEE. Source


Schaeffer E.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Auger F.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Shi Z.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Shi Z.,Ningbo Joyson Electronic Corporation | And 2 more authors.
IEEE Transactions on Industrial Electronics | Year: 2016

Electrical double-layer capacitors (EDLCs) are now widely used as power buffers in energy storage systems, especially for electrical transport applications. Because of their high acquisition costs, their predictive maintenance represents a key issue for the development of electrical traction systems. This paper investigates the diagnosis of EDLCs by a parametric estimation of a dynamic continuous-time model. Indeed, the physical interpretation of their parameters simplifies the supercapacitor diagnosis and prognosis. Due to the complex electrochemical phenomena occurring in EDLC cells, modeling errors are far more important than measurement noise. Therefore, we propose to use the output error minimization techniques and the relative sensitivity functions to evaluate and compare the diagnosis potential of several model structures. This allows the use of some comprehensive comparison criteria without any assumption about the statistical characteristics of the system disturbances. An experimental accelerated aging process of 200 commercial super capacitors (Nichicon, 1F, 20 weeks long aging at 65 .C, 0 and 2.5 V dc polarization) is also performed to make statistics and illustrate the methodology. © 2015 IEEE. Source


Bui H.K.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Wasselynck G.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Trichet D.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Ramdane B.,CNRS Grenoble Electrical Engineering Lab | And 2 more authors.
IEEE Transactions on Magnetics | Year: 2013

In this paper, a 3-D modeling of a thermo inductive nondestructing testing (NDT) technique applied to carbon fiber reinforced polymer (CFRP) composite is presented. A multiscale approach is used to calculate the electromagnetic and thermal field distribution. The relevance of the technique is then discussed for different positions of flaws and the optimal frequency is estimated. © 1965-2012 IEEE. Source


Souffran G.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Miegeville L.,CNRS Nantes Atlantique Electrical Engineering Research Institute | Guerin P.,CNRS Nantes Atlantique Electrical Engineering Research Institute
IEEE Transactions on Vehicular Technology | Year: 2012

Growing concerns about petroleum supplies and air pollution have spurred increased interest and research into hybrid electric vehicles (HEVs). While standard driving cycles are commonly used for the purpose of propulsion chain optimization, the issue of how representative they actually are is questioned. This paper proposes a novel methodology for modeling real-world vehicle missions by considering the stochastic characteristics of the driving pattern and the dependence among the variables of the mission, i.e., vehicle speed, acceleration, and road gradient. The modeling procedure is based on a Markov matrix formulation, and a simulation algorithm is implemented to generate an unlimited number of stochastic mission profiles. Two kinds of mission natures have been modeled and discussed so as to stress the mission impact on the energy consumption according to the propulsion chain sizing. The approach is then validated using the architecture of a series HEV powered by a diesel generator and batteries. The results on fuel consumption are presented, and the benefit of the proposed method over conventional approaches is argued. © 2012 IEEE. Source

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