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15th International Conference on System Theory, control and Computing, ICSTCC 2011

作者： Cezar, Babici Onea, Alexandru Automatic Control and Applied Informatics Departament Gheorghe Asachi Technical University Iasi Faculty of Automatic Control and Computer Engineering Str. Prof. dr. doc. D. Mangeron nr. 27 700050 Iasi Romania

ISBN: (纸本)9781457711732

In order to improve the lifetime and performance of a hybrid electric vehicle, one of the most challenging tasks is to improve the performance of the electrical energy storage, regarding the electrical power and energy capacity. By introducing a supercapacitor as auxiliary source to increase the system power and to take over the battery stresses, the performance of the combined energy storage unit is improved. This paper introduces a completed model of energy storage system, including a pack of batteries, a pack of supercapacitors and a control strategy. The aim is to discharge the capacitors when the required power from energy storage is above a threshold meaning that the driver needs a boost of power for a period of time. Because of their high density of power supercapacitors have more efficiency in delivering it for short time. This has a positive impact on the fuel consumption and the state of charge at the end of the drive cycle. © 2011 Faculty of Auto control.

关键词： Supercapacitor

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A distributed control strategy for a hybrid electric vehicle

A distributed control strategy for a hybrid electric vehicle

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2012 16th International Conference on System Theory, control and Computing, ICSTCC 2012

作者： Cezar, Babici Leandru Corneliu Onea, Alexandru Automatic Control and Applied Informatics Departament Gheorghe Asachi Technical University of Iasi Faculty of Automatic Control and Computer Engineering Str. Prof. dr. doc. D. Mangeron nr. 27 700050 Iasi Romania

ISBN: (纸本)9786068348483

This paper describes a distributed control strategy for a hybrid electric vehicle, in order to reduce the fuel consumption, and to maintain a reasonable state of charge (SOC), at the end of the drive cycle. The vehicle is like a system built from control nodes, every one of them having the same priority. The control laws are based on the dc-bus signaling, such way that every source of power (control node) is entering or leaving the network (dc-bus) depending on the voltage thresholds. The algorithm was tested using Matlab Simulink and ADVISOR interface. The results include statistical comparisons of the standard drive cycles using default model and the modified control strategy. © 2012 Dunarea de Jos University.

关键词： Hybrid vehicles

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A distributed control strategy for a hybrid electric vehicle

A distributed control strategy for a hybrid electric vehicle

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Babici Leandru Corneliu Cezar Alexandru Onea Automatic Control and Applied Informatics Departament Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania

关键词： Batteries Hybrid electric vehicles Fuels Supercapacitors Torque System-on-a-chip

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A rule-based energy management strategy for parallel hybrid vehicles with supercapacitors

A rule-based energy management strategy for parallel hybrid ...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Babici Cezar Alexandru Onea Automatic Control and Applied Informatics Departament Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania

关键词： Batteries Supercapacitors Vehicles System-on-a-chip Torque

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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