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Vladimirova K.,Grenoble Institute of Technology | Crebier J.-C.,CNRS Grenoble Electrical Engineering Lab | Avenas Y.,Grenoble Institute of Technology | Schaeffer C.,Grenoble Institute of Technology
IEEE Transactions on Power Electronics | Year: 2011

This paper presents a new concept for low cost and high reliability monolithic integration of vertical power devices. The concept relies on the creation of deep trench terminations on the edge of the device, thus allowing to avoid 3 D peak surface electric field levels whereas complete insulation of the integrated power devices sharing the same backside contact electrode is guaranteed. Simulation results show that the stress of the electric field can be further reduced by introducing an angle on the trench termination walls. Power diodes in the range of 600V with 87 wall angles of the 100-m deep trench terminations are fabricated to demonstrate the feasibility and the effectiveness of the concept. The multidiode devices were experimentally tested under static and dynamic practical conditions. The fabricated prototypes fulfilled the initial design electrical specifications considering the breakdown voltage rating and demonstrated an excellent functional behavior. The implementation of the multidiode device into an interleaved converter is presented in this paper. © 2011 IEEE. Source

Turker H.,CNRS Grenoble Electrical Engineering Lab
2015 IEEE Transportation Electrification Conference and Expo, ITEC 2015 | Year: 2015

This paper proposes a program which defines the least costly vehicle following a driving cycle. An exhaustive research is making by the algorithm for find the optimal configuration of the car between the size of the batteries and the powers of the electrical machine and the heat engine. Cost during the life duration and performances are calculated for each configuration in order to determine optimal hybridization rate. The proposed method helps engineers to have a better sense of hybridization rate during design process of a hybrid, plug-in hybrid or full electric vehicle. © 2015 IEEE. Source

Boussetta N.,CNRS Integrated Transformations of Renewable Matter | Lesaint O.,CNRS Grenoble Electrical Engineering Lab | Lesaint O.,University Grenoble alpes | Lesaint O.,French National Center for Scientific Research | Vorobiev E.,CNRS Integrated Transformations of Renewable Matter
Innovative Food Science and Emerging Technologies | Year: 2013

This paper presents an experimental study of the influence of pulsed electrical discharges of low energy (3 to 10 J) on the extraction of polyphenols from grape seeds. To obtain a better understanding, three basic phenomena involved in the whole discharge process are studied separately: pulsed electric field (PEF), pre-breakdown phase (streamer), and breakdown phase (arc). The polyphenol extraction is much more efficient with arcs, compared to streamers and PEF. Therefore, during the discharge process, the enhancement of polyphenol extraction can be mainly ascribed to the final arc phase. The total energy per unit mass CWp required to extract 5000 mg GAE/100 g DM with the arc (CWp = 16 kJ/kg) is 27 times lower compared to streamers alone, and 47 times lower compared to PEF. An optical study shows that the mechanical effects of arcs (shock waves, expanding cavity, and strong turbulence) are much more pronounced compared to streamers. These mechanical effects are responsible for the fragmentation of grape seeds, and strongly promote the release of polyphenols. Other parameters such as the test cell shape and the inter-electrode distance also show that the polyphenol extraction is further enhanced when grape seeds are in close proximity with the breakdown arc. In optimized conditions, the extraction efficiency with low energy discharges can be significantly higher than previous measurements with high energy discharges. Industrial relevance This paper presents relevant information for the design of generating electrical discharges treatment. The study also addresses a specific case of use of by-products and shows the effectiveness of such technology. © 2013 Elsevier Ltd. Source

Dupont L.,French Institute of Science and Technology for Transport | Avenas Y.,CNRS Grenoble Electrical Engineering Lab | Jeannin P.-O.,CNRS Grenoble Electrical Engineering Lab
Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC | Year: 2012

The measurement of the junction temperature with thermo-sensitive electrical parameters (TSEPs) is largely used by electrical engineers or researchers but the obtained temperature value is generally not verified by any referential information of the actual chip temperature distribution. In this paper, we propose to use infrared (IR) measurements in order to evaluate the relevance of three commonly used TSEP with IGBT chips: the saturation voltage under a low current, the gate-emitter voltage and the saturation current. The IR measurements are presented in details with an estimation of the emissivity of the black paint deposited on the power module. The temperatures obtained with IR measurement and with the different TSEPs are then compared in two cases: the use of only one chip and the use of two paralleled chips. © 2012 IEEE. Source

Besanger Y.,CNRS Grenoble Electrical Engineering Lab | Caire R.,CNRS Grenoble Electrical Engineering Lab | Chilard O.,Electricite de France | Deschamps P.,Schneider Electric
IEEE Transactions on Smart Grid | Year: 2012

Distribution systems must be ready to face upcoming technical and economic constraints: increase of Distributed Generation (DG) connections, changes in network losses and voltage profiles, among others. In this context, new centralized automation functions in distribution system control centers are needed in order to ensure the control of both distribution network and connected DGs. Consequently, state estimators need to be developed for future distribution systems to assess the network's state in real time, i.e., 10 minutes typical time frame, based on real, pseudo-, and virtual measurements. Such state estimation functions are widely used for transmission systems but cannot be transposed directly into distribution systems. Indeed, one of the main issues is the lack of sensors in the distribution network, requiring additional load models to solve observability issues. These load models (also called pseudomeasurements) are usually active and reactive power models at medium to low voltage (MV/LV) substations using often very inaccurate information from historical database or other estimated load curves, for instance. The scale of these errors makes the estimation of all variables in the distribution network difficult. This paper proposes a pseudomeasurement estimation using neural networks in order to improve the results of a distribution state estimator (DSE), used as inputs to a centralized Volt and Var control function. © 2010-2012 IEEE. Source

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