Title :
AIMD-like algorithms for charging electric and plug-in hybrid vehicles
Author :
Studli, Sonja ; Crisostomi, Emanuele ; Middleton, Richard ; Shorten, Robert
Author_Institution :
Hamilton Inst., Nat. Univ. of Ireland, Maynooth, Ireland
Abstract :
Motivated by the expected increase of the penetration level of Electric Vehicles (EVs), and the wider usage of renewable energies, this paper investigates policy to share the available power to charge EVs. This paper follows the preliminary work [1] of the authors, where AIMD (Additive Increase Multiplicative Decrease) [2] based techniques were first proposed to charge EVs in a distributed way. The same mathematical framework is adopted in this paper, but the algorithms are tailored to deal with new scenarios of interest, as illustrated in detail in Section III.
Keywords :
battery chargers; hybrid electric vehicles; AIMD-like algorithms; additive increase multiplicative decrease; charging station; penetration level; plug-in hybrid electric vehicles; renewable energy; Additives; Batteries; Educational institutions; Employment; Joining processes; Mathematical model; Vehicles;
Conference_Titel :
Electric Vehicle Conference (IEVC), 2012 IEEE International
Conference_Location :
Greenville, SC
Print_ISBN :
978-1-4673-1562-3
DOI :
10.1109/IEVC.2012.6183189