Title :
A real time energy management for electrical vehicle using combination of rule-based and ECMS
Author :
Hemi, Hanane ; Ghouili, Jamel ; Cheriti, A.
Author_Institution :
Univ. of Moncton, Moncton, NB, Canada
Abstract :
The studies on energy management and optimization are still at an early stage. The energy management of a fuel cell (FC) hybrid vehicle supported with a storing device such as batteries or supercapacitors, is a challenge. Indeed, regardless of the followed route, the available power must be distributed among the various components, in order to minimize hydrogen consumption and increase their life expectancy. This article present a real-time energy management strategy for a fuel cell vehicle equipped with a battery. It is based on the rule-based method combined with the equivalent consumption minimization strategy ECMS. This strategy is developed and simulated by using a dynamic model of the vehicle developed in the Matlab/Simulink environment. Eventually, simulation results are provided to validate the strategy under various vehicle masses.
Keywords :
battery powered vehicles; energy management systems; fuel cell vehicles; hybrid electric vehicles; minimisation; ECMS; FC; Matlab-Simulink environment; batteries; electrical vehicle; equivalent consumption minimization strategy; fuel cell hybrid vehicle; hydrogen consumption minimization; real-time energy management strategy; rule-based method; supercapacitors; vehicle masses; Acceleration; Batteries; Energy management; Fuel cells; Real-time systems; System-on-chip; Vehicles; ECMS; battery; electric vehicle; fuel cell; real time; rule-based;
Conference_Titel :
Electrical Power & Energy Conference (EPEC), 2013 IEEE
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4799-0105-0
DOI :
10.1109/EPEC.2013.6802927