000118257 001__ 118257
000118257 005__ 20230519145533.0
000118257 0247_ $$2doi$$a10.1109/ACCESS.2021.3072979
000118257 0248_ $$2sideral$$a126467
000118257 037__ $$aART-2021-126467
000118257 041__ $$aeng
000118257 100__ $$0(orcid)0000-0001-7657-0075$$aSanguesa, JA$$uUniversidad de Zaragoza
000118257 245__ $$aAnalyzing the Impact of Roadmap and Vehicle Features on Electric Vehicles Energy Consumption
000118257 260__ $$c2021
000118257 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118257 5203_ $$aElectric Vehicles (EVs) market penetration rate is continuously increasing due to several aspects such as pollution reduction initiatives, government incentives, cost reduction, and fuel cost increase, among others. In the vehicular field, researchers frequently use simulators to validate their proposals before implementing them in real world, while reducing costs and time. In this work, we use our ns-3 network simulator enhanced version to demonstrate the influence of the map layout and the vehicle features on the EVs consumption. In particular, we analyze the estimated consumption of EVs simulating two different scenarios: (i) a segment of the E313 highway, located in the north of Antwerp, Belgium and (ii) the downtown of the city of Antwerp with real vehicle models. According to the results obtained, we demonstrate that the mass of the vehicle is a key factor for energy consumption in urban scenarios, while in contrast, the Air Drag Coefficient (C-d) and the Front Surface Area (FSA) play a critical role in highway environments. The most popular and powerful simulations tools do no present combined features for mobility, realistic map-layouts and electric vehicles consumption. As ns-3 is one of the most used open source based simulators in research, we have enhanced it with a realistic energy consumption feature for electric vehicles, while maintaining its original design and structure, as well as its coding style guides. Our approach allows researchers to perform comprehensive studies including EVs mobility, energy consumption, and communications, while adding a negligible overhead.
000118257 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000118257 590__ $$a3.476$$b2021
000118257 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b79 / 164 = 0.482$$c2021$$dQ2$$eT2
000118257 591__ $$aTELECOMMUNICATIONS$$b43 / 93 = 0.462$$c2021$$dQ2$$eT2
000118257 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b105 / 277 = 0.379$$c2021$$dQ2$$eT2
000118257 592__ $$a0.927$$b2021
000118257 593__ $$aComputer Science (miscellaneous)$$c2021$$dQ1
000118257 593__ $$aEngineering (miscellaneous)$$c2021$$dQ1
000118257 594__ $$a6.7$$b2021
000118257 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118257 700__ $$0(orcid)0000-0002-1750-7225$$aGarrido, P$$uUniversidad de Zaragoza
000118257 700__ $$0(orcid)0000-0001-6945-7330$$aMartinez, FJ$$uUniversidad de Zaragoza
000118257 700__ $$aMarquez-Barja, JM
000118257 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput.
000118257 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000118257 773__ $$g9 (2021), 61475-61488$$pIEEE Access$$tIEEE Access$$x2169-3536
000118257 8564_ $$s3573474$$uhttps://zaguan.unizar.es/record/118257/files/texto_completo.pdf$$yVersión publicada
000118257 8564_ $$s2488807$$uhttps://zaguan.unizar.es/record/118257/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118257 909CO $$ooai:zaguan.unizar.es:118257$$particulos$$pdriver
000118257 951__ $$a2023-05-18-15:33:19
000118257 980__ $$aARTICLE