DocumentCode :
2356830
Title :
Control strategies for hybrid vehicles: optimal control
Author :
Delprat, S. ; Guerra, T.M. ; Rimaux, J.
Author_Institution :
Univ. de Valenciennes et du Hainaut Cambresis, France
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
1681
Abstract :
Control strategies for hybrid vehicles are algorithms that choose at each sampling time the power split between the engine and the motor. This paper presents global optimization algorithms based on the optimal control theory. The objective is to compute, in simulation, the minimum fuel consumption achievable with a given prototype on a given speed cycle. Results can be used as reference for the evaluation of real time control strategies and also for real-time control strategy synthesis.
Keywords :
fuel optimal control; hybrid electric vehicles; minimisation; real-time systems; engine motor power split; global optimization algorithms; hybrid vehicles; minimum fuel consumption; optimal control; real-time control strategy synthesis; sampling time; simulation; Computational modeling; DC motors; Engines; Gears; Optimal control; Performance evaluation; Prototypes; Torque control; Vehicles; Virtual prototyping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th
ISSN :
1090-3038
Print_ISBN :
0-7803-7467-3
Type :
conf
DOI :
10.1109/VETECF.2002.1040502
Filename :
1040502
Link To Document :
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