Staff View: Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique

Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique

Charging (batteries); Electric vehicles; Scheduling; Secondary batteries; Economic contribution; Electric Vehicles (EVs); Exponential weighted moving average; Green transportations; Intelligent optimization; Intelligent techniques; Optimization strategy; Transportation system; Vehicular ad hoc netwo...

Full description

Saved in:

Bibliographic Details
Main Authors:	Devendiran R., Kasinathan P., Ramachandaramurthy V.K., Subramaniam U., Govindarajan U., Fernando X.
Other Authors:	56142031000
Format:	Article
Published:	John Wiley and Sons Ltd 2023
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.uniten.dspace-25984
record_format	dspace
spelling	my.uniten.dspace-259842023-05-29T17:05:54Z Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique Devendiran R. Kasinathan P. Ramachandaramurthy V.K. Subramaniam U. Govindarajan U. Fernando X. 56142031000 57194393495 6602912020 57199091461 6603473566 6701314089 Charging (batteries); Electric vehicles; Scheduling; Secondary batteries; Economic contribution; Electric Vehicles (EVs); Exponential weighted moving average; Green transportations; Intelligent optimization; Intelligent techniques; Optimization strategy; Transportation system; Vehicular ad hoc networks The coordination of modern transportation system depends heavily on intelligent techniques, information assortment, and its analysis. Sensors play a crucial role in information assortment in charging scheduling of electric vehicles (EVs). EVs are destined to become inevitable due to their innate economic contribution, climate improvement, and social attributes as per United Nation's sustainable development goals. Innovation in EV has gained the interest of many researchers since it is one of the novel green transportation sectors. Moreover, EVs are essential to preserve conventional fuels and to maximize the utilization of renewable sources. Nevertheless, EVs have short driving ranges due to their battery limitation, which hinders the reliability. The charging stations (CS) for EVs are also unevenly distributed. This paper presents a novel strategy to schedule the charging points in EV CSs. The goal is to determine the convenient CS for EVs through Vehicular Ad-hoc Network (VANET) model. In this model, the CSs are determined and prioritized using four phases, such as driving, charge planning, charging scheduling, and battery charging. Charging scheduling was designed using a newly developed optimization strategy, exponential Harris Hawks optimization (Exponential HHO) algorithm, which combines two algorithms, Harris Hawks optimization (HHO) and exponential weighted moving average (EWMA). Furthermore, the fitness function was also newly devised by considering parameters such as average waiting time, remaining energy, number of EVs, and distance. The proposed Exponential HHO was validated using VANET simulation and the performance was improved with maximum remaining energy of 52.709 Whr, minimal distance of 27.256 km, and a maximum average waiting time of 0.352 min in comparison with existing methods. To be specific, the proposed Exponential HHO yielded better improvement, especially when considering a large number of vehicles. � 2021 Wiley Periodicals LLC Final 2023-05-29T09:05:54Z 2023-05-29T09:05:54Z 2021 Article 10.1002/int.22531 2-s2.0-85107344732 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107344732&doi=10.1002%2fint.22531&partnerID=40&md5=3994a07301756a8492f72bcf7685258b https://irepository.uniten.edu.my/handle/123456789/25984 36 10 5816 5844 All Open Access, Bronze John Wiley and Sons Ltd Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Charging (batteries); Electric vehicles; Scheduling; Secondary batteries; Economic contribution; Electric Vehicles (EVs); Exponential weighted moving average; Green transportations; Intelligent optimization; Intelligent techniques; Optimization strategy; Transportation system; Vehicular ad hoc networks
author2	56142031000
author_facet	56142031000 Devendiran R. Kasinathan P. Ramachandaramurthy V.K. Subramaniam U. Govindarajan U. Fernando X.
format	Article
author	Devendiran R. Kasinathan P. Ramachandaramurthy V.K. Subramaniam U. Govindarajan U. Fernando X.
spellingShingle	Devendiran R. Kasinathan P. Ramachandaramurthy V.K. Subramaniam U. Govindarajan U. Fernando X. Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique
author_sort	Devendiran R.
title	Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique
title_short	Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique
title_full	Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique
title_fullStr	Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique
title_full_unstemmed	Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique
title_sort	intelligent optimization for charging scheduling of electric vehicle using exponential harris hawks technique
publisher	John Wiley and Sons Ltd
publishDate	2023
_version_	1806428233226256384
score	13.211869

Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique

Similar Items