DocumentCode :
71462
Title :
Hybrid swarm intelligence methods for energy management in hybrid electric vehicles
Author :
Samanta, Chandan Kumar ; Padhy, Sasmita Kumari ; Panigrahi, Siba Prasada ; Panigrahi, B.K.
Author_Institution :
Dept. of Electr. Eng., BIET, Bhadrak, India
Volume :
3
Issue :
1
fYear :
2013
fDate :
Mar-13
Firstpage :
22
Lastpage :
29
Abstract :
This study deals with energy management (EM) in hybrid electric vehicles. This study designs EM as an optimisation problem, then, optimises it using particle swarm optimisation (PSO) and some of its hybridisations. This study will be first in the literature to introduce PSO to the problem of EM in electric field. Moreover, this study proposes some novel applications of hybrid PSO, such as PSO-DE and PSO-QI. Encouraging simulation results obtained in this study that may attract for a case study for practical implementations.
Keywords :
energy management systems; hybrid electric vehicles; particle swarm optimisation; EM design; PSO-DE; PSO-QI; electric field; energy management; hybrid PSO; hybrid electric vehicles; hybrid swarm intelligence method; particle swarm optimisation;
fLanguage :
English
Journal_Title :
Electrical Systems in Transportation, IET
Publisher :
iet
ISSN :
2042-9738
Type :
jour
DOI :
10.1049/iet-est.2012.0009
Filename :
6518033
Link To Document :
بازگشت