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Electric vehicle based smart e-mobility system – Definition and comparison to the existing concept

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type , Journal 01 Aug 2020Embargo end date: 01 Jan 2019 Croatia Publisher:Elsevier BVJournal:Applied Energy, volume 272, page 115,153 (issn: 0306-2619,

Authors: Hrvoje Pandžić; Tomislav Capuder; Ivan Pavić;

doi: 10.1016/j.apenergy.2020.115153 , 10.48550/arxiv.1909.10297

arXiv: 1909.10297 , http://arxiv.org/abs/1909.10297

Electric vehicle based smart e-mobility system – Definition and comparison to the existing concept

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Abstract

This is the second paper of a two-paper series on smart e-mobility. The concept defined in the first paper is further elaborated and mathematically formulated in here. A case study is conducted to evaluate the differences between the proposed electric-vehicle-based and the existing charging-station-based emobility systems. Each of the four issues identified in the first paper are individually examined and omission of corresponding constraints are analyzed and quantified.

Country

Croatia

Related Organizations

University of Zagreb
Croatia
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
Croatia
University of Split
Croatia
University of Rijeka, Faculty of Physics
Croatia
University of Zagreb, Faculty of Electrical Engineering and Computing
Croatia

Keywords

Electric vehicles, Systems and Control (eess.SY), Electric vehicles ; charging stations ; aggregator ; electric vehicle aggregator ; electricity market, Electrical Engineering and Systems Science - Systems and Control, charging stations, electric vehicle aggregator, electricity market, FOS: Electrical engineering, electronic engineering, information engineering, aggregator

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	31
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%