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Hybrid swarm intelligence methods for energy management in hybrid electric vehicles

Content Provider	IET Digital Library
Author	Samanta, Chandan Kumar Padhy, Sasmita Kumari Panigrahi, Siba Prasada Panigrahi, Bijaya Ketan
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.
Starting Page	22
Ending Page	29
Page Count	8
ISSN	20429738
Volume Number	3
e-ISSN	20429746
Issue Number	Issue 1, Mar (2013)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-est/3/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-est.2012.0009
Journal	IET Electrical Systems in Transportation
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Energy Management Energy Management System Hybrid Electric Vehicle Hybrid Swarm Intelligence Method Optimisation Problem Optimisation Technique Particle Swarm Optimisation Power System Economics Power System Managemen Power System Operation PSO–QI Transportation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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Environmental/economic dispatch incorporating renewable energy sources and plug-in vehicles

Optimisation model for power system restoration with support from electric vehicles employing battery swapping

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Optimal sizing of an electrical machine using a magnetic circuit model: application to a hybrid electrical vehicle

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Hybrid swarm intelligence methods for energy management in hybrid electric vehicles

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