000070936 001__ 70936
000070936 005__ 20200103141025.0
000070936 0247_ $$2doi$$a10.1109/ACCESS.2018.2829158
000070936 0248_ $$2sideral$$a106504
000070936 037__ $$aART-2018-106504
000070936 041__ $$aeng
000070936 100__ $$0(orcid)0000-0002-0787-2667$$aTorres-Sanz, V.
000070936 245__ $$aEnhancing the Charging Process of Electric Vehicles at Residential Homes
000070936 260__ $$c2018
000070936 5060_ $$aAccess copy available to the general public$$fUnrestricted
000070936 5203_ $$aIt is essential to establish smart and efficient charging strategies for electric vehicles, due to the increase of their sales, and especially taking into account that many of these vehicles will be recharged in private parking lots, where the charging point features are limited. In this paper, we propose four different charging methods: the cheapest, the cheapest starting, the low cost, and the last period schemes, as an alternative to the traditional plug and charge method. Our objective is to find better strategies for an automatic, efficient, and scheduled electric vehicles'' charging process, avoiding peak power demands, and promoting recharges at off-peak hours, where electricity prices are low. According to this, a smart charger could use our proposed methods to enhance the charging process at residential homes. To assess our proposal, we simulate the battery recharging of 1 000 vehicles per day during a full year, considering the use of domestic electrical plugs, and real electricity pricing. In Addition, three different scenarios have been simulated: 1) a regular-demand scenario; 2) a high-demand scenario; and 3) an extra-demand scenario, in which the vehicles arrive with an average battery level of only 25%. Simulation results confirm that using our charging methods, we can save between 46.9% to 75.2% in terms of electricity fee while maintaining similar battery levels after the charging process.
000070936 536__ $$9info:eu-repo/grantAgreement/ES/DGA/ESF/T40-17D
000070936 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000070936 590__ $$a4.098$$b2018
000070936 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b23 / 155 = 0.148$$c2018$$dQ1$$eT1
000070936 591__ $$aTELECOMMUNICATIONS$$b19 / 88 = 0.216$$c2018$$dQ1$$eT1
000070936 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b52 / 265 = 0.196$$c2018$$dQ1$$eT1
000070936 592__ $$a0.609$$b2018
000070936 593__ $$aComputer Science (miscellaneous)$$c2018$$dQ1
000070936 593__ $$aMaterials Science (miscellaneous)$$c2018$$dQ1
000070936 593__ $$aEngineering (miscellaneous)$$c2018$$dQ1
000070936 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000070936 700__ $$0(orcid)0000-0001-7657-0075$$aSanguesa, J.A.
000070936 700__ $$aMartinez, F.J.
000070936 700__ $$0(orcid)0000-0002-1750-7225$$aGarrido, P.$$uUniversidad de Zaragoza
000070936 700__ $$aMarquez-Barja, J.M.
000070936 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000070936 773__ $$g6 (2018), 22875-22888$$pIEEE Access$$tIEEE Access$$x2169-3536
000070936 8564_ $$s7744112$$uhttps://zaguan.unizar.es/record/70936/files/texto_completo.pdf$$yVersión publicada
000070936 8564_ $$s114719$$uhttps://zaguan.unizar.es/record/70936/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000070936 909CO $$ooai:zaguan.unizar.es:70936$$particulos$$pdriver
000070936 951__ $$a2020-01-03-14:03:52
000070936 980__ $$aARTICLE