An intelligent energy management model for a parallel hybrid vehicle under combined loads
Date
2008
Authors
Khayyan, H.
Kouzani, A.
Hu, E.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the 2008 IEEE International Conference on Vehicular Electronics and Safety, Columbus, OH, USA. September 22-24, 2008: pp.145-150
Statement of Responsibility
Hamid Khayyam, Abbas Z. Kouzani, and Eric J. Hu
Conference Name
IEEE International Conference on Vehicular Electronics and Safety (2008 : Columbus, OH, USA)
Abstract
To exploit the benefits offered by parallel HEVs, an intelligent energy management model is developed and evaluated in this paper. Despite most existing works, the developed model incorporates combined wind/drag, slope, rolling, and accessories loads to minimise the fuel consumption under varying driving conditions. A slope prediction unit is also employed. The engine and the electric motor can output power simultaneously under a heavy-load or a slopped road condition. Two simulation were conducted namely slopped-windy-prediction and slopped-windy-prediction-hybrid. The results indicate that the vehicle speed and acceleration is smoother where the hybrid component was included. The average fuel consumption for the first and second simulations were 7.94 and 7.46 liter/100 km, respectively.
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Dissertation Note
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Description
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