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Look-ahead intelligent energy management of a parallel hybrid electric vehicle
conference contribution
posted on 2011-01-01, 00:00 authored by Behnam Ganji, Abbas KouzaniAbbas Kouzani, Hamid KhayyamImproving fuel efficiency in vehicles can reduce the energy consumption concerns associated with operating the vehicles. This paper presents a model for a parallel hybrid electric vehicle. In the model, the flow of energy starts from wheels and spreads toward engine and electric motor. A fuzzy logic based control strategy is implemented for the vehicle. The controller manages the energy flow from the engine and the electric motor, controlling transmission ratio, adjusting speed, and sustaining battery's state of charge. The controller examines the vehicle speed, demand torque, slope difference, state of charge of battery, and engine and electric motor rotation speeds. It then determines the best values for continuous variable transmission ratio, speed, and torque. A slope window method is formed that takes into account the look-ahead slope information, and determines the best vehicle speed. The developed model and control strategy are simulated using real highway data relating to Nowra-Bateman Bay in Australia, and SAE Highway Fuel Economy Driving Schedule. The simulation results are presented and discussed. It is shown that the use of the proposed fuzzy controller reduces the fuel consumption of the vehicle.
History
Event
IEEE International Conference on Fuzzy Systems (2011 : Taipei, Taiwan)Pagination
2335 - 2341Publisher
IEEELocation
Taipei, TaiwanPlace of publication
[Taipei, Taiwan]Start date
2011-06-27End date
2011-06-30ISSN
1098-7584ISBN-13
9781424473168ISBN-10
1424473160Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2011, IEEETitle of proceedings
FUZZ 2011 : Proceedings of the IEEE 2011 International Conference on Fuzzy SystemsUsage metrics
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