SP-SDP for fuel consumption and tailpipe emissions minimization in an EVT hybrid / Ed D. Tate in IEEE Transactions on control systems technology, Vol. 18 N° 3 (Mai 2010)  

Public ISBD [article]  inIEEE Transactions on control systems technology > Vol. 18 N° 3 (Mai 2010) . - pp. 673-687 Titre : SP-SDP for fuel consumption and tailpipe emissions minimization in an EVT hybrid Type de document : texte imprimé Auteurs : Ed D. Tate, Auteur ; Grizzle, J. W., Auteur ; Huei Peng, Auteur Année de publication : 2011 Article en page(s) : pp. 673-687 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Dynamic programming Fuel economy Hybrid electric vehicle Powertrain control Index. décimale : 629.1 Résumé : 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. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5229347 [article] SP-SDP for fuel consumption and tailpipe emissions minimization in an EVT hybrid [texte imprimé] / Ed D. Tate, Auteur ; Grizzle, J. W., Auteur ; Huei Peng, Auteur . - 2011 . - pp. 673-687. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 3 (Mai 2010) . - pp. 673-687 Mots-clés : Dynamic programming Fuel economy Hybrid electric vehicle Powertrain control Index. décimale : 629.1 Résumé : 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. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5229347

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