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

conference contribution
posted on 2008-01-01, 00:00 authored by Hamid Khayyam, Abbas KouzaniAbbas Kouzani, Eric Hu
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.

History

Event

IEEE International Conference on Vehicular Electronics and Safety (2008 : Columbus, Oh.)

Pagination

145 - 150

Publisher

IEEE

Location

Columbus, Oh.

Place of publication

Piscataway, N.J.

Start date

2008-09-22

End date

2008-09-24

ISBN-13

9781424423606

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2008, IEEE

Title of proceedings

ICVES 2008 : Proceedings of the 2008 IEEE International Conference on Vehicular Electronics and Safety