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Titre :
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SP-SDP for fuel consumption and tailpipe emissions minimization in an EVT hybrid (2011)
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Auteurs :
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Ed D. Tate, Auteur ;
Grizzle, J. W., Auteur ;
Huei Peng, Auteur
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Type de document :
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Article : texte imprimé
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Dans :
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IEEE Transactions on control systems technology (Vol. 18 N° 3, Mai 2010)
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Article en page(s) :
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pp. 673-687
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Note générale :
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Génie Aérospatial
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Langues :
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Anglais
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Index. décimale :
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629.1
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Tags :
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Dynamic programming Fuel economy Hybrid electric vehicle Powertrain control
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Résumé :
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Control strategies have been developed for hybrid electric vehicles (HEV) that minimize fuel consumption while satisfying a charge sustaining constraint. Since one of the components of an HEV is typically the ubiquitous internal combustion engine, tailpipe emissions must also be considered. This paper uses shortest-path stochastic dynamic programming (SP-SDP) to address the minimization of a weighted sum of fuel consumption and tailpipe emissions for an HEV equipped with a dual mode electrically variable transmission (EVT) and a catalytic converter. The shortest path formulation of SDP is chosen to directly address the charge sustaining requirement. Using simple methods, an SP-SDP solution required more than eight thousand hours. Using linear programming and duality, an SP-SDP problem is solved in about three hours on a desktop PC. The resulting time-invariant feedback controller reduces tailpipe emissions by more than 50% when compared to a popular baseline controller.
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DEWEY :
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629.1
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ISSN :
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1063-6536
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En ligne :
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http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5229347
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