eprintid: 11122
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/11/22
datestamp: 2023-11-10 03:25:40
lastmod: 2023-11-10 03:25:40
status_changed: 2023-11-10 01:14:32
type: book
metadata_visibility: show
creators_name: Rahman, I.
creators_name: Vasant, P.
creators_name: Singh, B.S.M.
creators_name: Abdullah-Al-Wadud, M.
title: Hybrid particle swarm and gravitational search optimization techniques for charging plug-in hybrid electric vehicles
ispublished: pub
note: cited By 2
abstract: Electrification of Transportation has undergone major modifications since the last decade. Success of combining smart grid technology and renewable energy exclusively depends upon the large-scale participation of Plug-in Hybrid Electric Vehicles (PHEVs) towards reach the desired pollution-free transportation industry. One of the key Performance pointers of hybrid electric vehicle is the State-of-Charge (SoC) which needs to be enhanced for the advancement of charging station using computational intelligence methods. In this Chapter, authors applied Hybrid Particle swarm and gravitational search Optimization (PSOGSA) technique for intelligently allocating energy to the PHEVs considering constraints such as energy price, remaining battery capacity, and remaining charging time. Computational experiment results attained for maximizing the highly non-linear fitness function estimates the performance measure of both the techniques in terms of best fitness value and computation time. © 2020, IGI Global. © 2020 by IGI Global. All rights reserved.
date: 2019
publisher: IGI Global
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095762083&doi=10.4018%2f978-1-7998-0948-7.ch008&partnerID=40&md5=b1911768f3d1e4b4762d0e019ba3b843
id_number: 10.4018/978-1-7998-0948-7.ch008
full_text_status: none
publication: Sustainable Infrastructure: Breakthroughs in Research and Practice
pagerange: 195-228
refereed: TRUE
isbn: 9781799809494; 9781799809487
citation:   Rahman, I. and Vasant, P. and Singh, B.S.M. and Abdullah-Al-Wadud, M.  (2019) Hybrid particle swarm and gravitational search optimization techniques for charging plug-in hybrid electric vehicles.     IGI Global, pp. 195-228.  ISBN 9781799809494; 9781799809487