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Numerical Comparison of Optimal Charging Schemes for Electric Vehicles

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Authors:
  • You, Shi ;
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    Orcid logo0000-0003-3371-9647
    Department of Electrical Engineering, Technical University of Denmark
  • Hu, Junjie ;
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    Orcid logo0000-0002-8483-5501
    Department of Electrical Engineering, Technical University of Denmark
  • Pedersen, Anders Bro ;
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    Orcid logo0000-0001-8633-1131
    Department of Electrical Engineering, Technical University of Denmark
  • Andersen, Peter Bach ;
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    Orcid logo0000-0002-5202-3584
    Department of Electrical Engineering, Technical University of Denmark
  • Rasmussen, Claus Nygaard ;
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    Department of Electrical Engineering, Technical University of Denmark
  • Cha, Seung-Tae
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    Department of Electrical Engineering, Technical University of Denmark
DOI:
10.1109/PESGM.2012.6345356
Abstract:
The optimal charging schemes for Electric vehicles (EV) generally differ from each other in the choice of charging periods and the possibility of performing vehicle-to-grid (V2G), and have different impacts on EV economics. Regarding these variations, this paper presents a numerical comparison of four different charging schemes, namely night charging, night charging with V2G, 24 hour charging and 24 hour charging with V2G, on the basis of real driving data and electricity price of Denmark in 2003. For all schemes, optimal charging plans with 5 minute resolution are derived through the solving of a mixed integer programming problem which aims to minimize the charging cost and meanwhile takes into account the users' driving needs and the practical limitations of the EV battery. In the post processing stage, the rainflow counting algorithm is implemented to assess the lifetime usage of a lithium-ion EV battery for the four charging schemes. The night charging scheme is found to be the cheapest solution after conducting an annual cost comparison.
ISBN:
9781467327275
Type:
Conference paper
Language:
English
Published in:
Proceedings of Ieee Pes General Meeting, 2012
Keywords:
Electric vehicle; Mixed integer programming; Optimal charging; Rainflow counting; Vehicle-to-grid; V2G
Main Research Area:
Science/technology
Conference:
2012 IEEE Power & Energy Society General Meeting, 2012
Publisher:
IEEE
Submission year:
2012
ID:
232634992

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