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An intelligent energy management model for a parallel hybrid vehicle under combined loads

Khayyam, Hamid, Kouzani, Abbas Z. and Hu, Eric J. 2008, An intelligent energy management model for a parallel hybrid vehicle under combined loads, in ICVES 2008 : Proceedings of the 2008 IEEE International Conference on Vehicular Electronics and Safety, IEEE, Piscataway, N.J., pp. 145-150.

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Title An intelligent energy management model for a parallel hybrid vehicle under combined loads
Author(s) Khayyam, Hamid
Kouzani, Abbas Z.
Hu, Eric J.
Conference name IEEE International Conference on Vehicular Electronics and Safety (2008 : Columbus, Oh.)
Conference location Columbus, Oh.
Conference dates 22-24 September 2008
Title of proceedings ICVES 2008 : Proceedings of the 2008 IEEE International Conference on Vehicular Electronics and Safety
Editor(s) [Unknown]
Publication date 2008
Conference series International Conference on Vehicular Electronics and Safety
Start page 145
End page 150
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Summary 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.
ISBN 9781424423606
Language eng
Field of Research 090205 Hybrid Vehicles and Powertrains
Socio Economic Objective 861302 Automotive Equipment
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018298

Document type: Conference Paper
Collections: School of Engineering and Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.