Title :
Multi-agent load power segregation for electric vehicles
Author :
Rosario, L.C. ; Economou, J.T. ; Luk, P.C.K.
Author_Institution :
Depart. of Aerosp. Power & Sensors, Cranfield Univ., Shrivenham, UK
Abstract :
The complex load requirement of electric vehicles whether hybrid electric, all electric (EV) or fuel cell based can be fundamentally divided into propulsion and non-propulsion loads. Further segregation of the non-propulsion loads into multi-priority, multi-time constant electrical burdens presents a basis to classify these loads as multi agents within the vehicle power distribution network. This paper discusses the load demands of these agents in relation to the overall vehicle power demand. Due to sizing constraints of onboard energy storage systems, coupled by the requirement to meet momentary peak power needs, we investigate prioritising the activation of these agents. The approach and simulation result presented in this paper is an initial step towards ongoing investigations into agent based vehicular power and energy management schemes.
Keywords :
demand side management; fuel cell vehicles; hybrid electric vehicles; energy management scheme; energy storage system; fuel cell; hybrid electric vehicle; load demand; multi-agent load power segregation; multi-time constant; nonpropulsion load; propulsion load; vehicle power demand; Actuators; Electric vehicles; Energy management; Energy storage; Heating; Hybrid electric vehicles; Load flow; Power demand; Power steering; Propulsion;
Conference_Titel :
Vehicle Power and Propulsion, 2005 IEEE Conference
Print_ISBN :
0-7803-9280-9
DOI :
10.1109/VPPC.2005.1554538