Title :
A rule-based intelligent energy management system for an internal combustion engine vehicle
Author :
Khayyam, Hamid ; Kouzani, Abbas Z. ; Khoshmanesh, Khashayar ; Hu, Eric J.
Author_Institution :
Sch. of Eng. & IT, Deakin Univ., Geelong, VIC
Abstract :
An intelligent energy management system (IEMS) is developed to improve fuel efficiency of an internal combustion engine vehicle. It helps determine the best approach to run the engine system through dynamically analysing various factors relating to vehicle. The energy balance technique is implemented and utilised. The simulation outcome of the IEMS is compared against that of a conventional system under the same driving factors. The results show that the IEMS reduces the fuel consumption around 5.6% for the tested conditions.
Keywords :
control engineering computing; energy management systems; fuel cell vehicles; internal combustion engines; knowledge based systems; energy balance; engine system; fuel efficiency; internal combustion engine vehicle; rule-based intelligent energy management system; Energy management; Friction; Fuels; Heat engines; Intelligent systems; Intelligent vehicles; Internal combustion engines; Predictive models; Stirling engines; Vehicle driving;
Conference_Titel :
TENCON 2008 - 2008 IEEE Region 10 Conference
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4244-2408-5
Electronic_ISBN :
978-1-4244-2409-2
DOI :
10.1109/TENCON.2008.4766637
