An iterative algorithm for the global optimal predictive control of hybrid electric vehicles

2011 IEEE Vehicle Power and Propulsion Conference, VPPC 2011

Volumn , Issue , 2011, Pages

  Kutter, S ^a   Baker B ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL BURDEN; COMPUTATIONAL EFFORT; CONTROL PROBLEMS; CONVENTIONAL METHODS; DECISION CRITERIONS; ENERGY STORAGE CAPACITY; FEASIBLE SOLUTION; HYBRID ELECTRIC VEHICLE; ITERATIVE ALGORITHM; OFF-LINE SIMULATIONS; OPTIMALITY; PLUG-IN HYBRID VEHICLES; PREDICTIVE CONTROL;

ALGORITHMS; DYNAMIC PROGRAMMING; ELECTRIC VEHICLES; PROPULSION;

ITERATIVE METHODS;

EID: 80155199248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VPPC.2011.6043004     Document Type: Conference Paper

References (9)

1. S. Kutter, B. Bäker, "Predictive Online Control for Hybrids: Resolving the conflict between global optimality, robustness and real-time capability", IEEE Vehicle Power and Propulsion Conference, Lille, France, 2010.
2. C. Musardo, G. Rizzoni, B. Staccia, "A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management", IEEE Conference on Decision and Control, Seville, Spain, 2005.
3. P. Pisu, G. Rizzoni, "A Comperative Study of Supervisory Control Strategies for Hybrid Electric Vehicles", IEEE Transactions on Control Systems Technology, 2007.
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8. L. Serrao, "A Comperative analyses of energy management strategies for hybrid electric vehicles", doctoral thesis, Ohio State University, Ohio, US 2009.
9. S. Kern, "Notwendige Optimalitätsbedingungen und numerische Lösungsmethoden für optimale Steuerungsprozesse mit Retardierung", diploma thesis, Westfälische Wilhelms-Universität Münster, Germany 2005.