DocumentCode :
3178815
Title :
Real-time controller design for a parallel hybrid electric vehicle using neuro-dynamic programming method
Author :
Boyali, Ali ; Güvenç, Levent
Author_Institution :
Mech. Eng. Dept., Istanbul Tech. Univ., İstanbul, Turkey
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
4318
Lastpage :
4324
Abstract :
The use of the neuro-dynamic programming method for real-time control of a parallel hybrid electric vehicle is addressed in this study. The validated model of a research prototype parallel hybrid electric light commercial vehicle, FOHEV I, is used in the numerical parts of this paper. A diesel engine and an electric motor power the front and rear axles, respectively. Due to the computational complexity and resulting burden for optimum power distribution in the hybrid electric powertrain, real-time computation using dynamic programming is not feasible. Sub-optimal optimization techniques are available for pre-defined speed profiles, however, the vehicle speed profile depends on the driver input and vehicle and road conditions and is not known a priori. A neuro-dynamic programming method is proposed here to solve this problem. The results are compared with and found to be quite close to the optimal ones computed using dynamic programming.
Keywords :
angular velocity control; diesel engines; dynamic programming; hybrid electric vehicles; neurocontrollers; optimisation; power distribution control; computational complexity; diesel engine; electric motor power; neuro-dynamic programming; optimization; parallel hybrid electric vehicle; power distribution; real-time controller; speed control; Fuels; Integrated optics; Neurons; Prototypes; Neuro-dynamic programming; hybrid electric vehicles; neuro-controllers; real time control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5641785
Filename :
5641785
Link To Document :
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