uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Modelling charging of electric vehicles using mixture of user behaviours
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics.ORCID iD: 0000-0001-6292-0695
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics. (Fasta tillståndets fysik, Solid State Physics)ORCID iD: 0000-0003-0051-4098
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

With the rapid increase in the penetration level of electric vehicles (EVs), accurate modelling of the impacts of EVs on the electricity grid in cities is of important value to grid operators. In this paper, data from five charging stations (CSs) in Uppsala, Sweden are analysed. Then a spatial model is developed and validated using the previously analysed data. The results show that there is a big difference in the occupancy rate of stations. Some stations are more frequently used than others. Also, the energy charged in an average charging session is equivalent to driving for 27.7 km, which is 6% more than the daily driving distances in Uppsala. It is also shown that the load profile in some CSs is a mixture between two or more different load profile, for example residential and workplace profiles. The produced model can reflect the load of the charging stations when considering every CS to represent a mixture of different distinct charging profiles. 

Place, publisher, year, edition, pages
2017.
Keyword [en]
Electric vehicles, charging stations
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science with specialization in Solid State Physics
Identifiers
URN: urn:nbn:se:uu:diva-332456OAI: oai:DiVA.org:uu-332456DiVA: diva2:1153131
Conference
1st E-mobility Power System Integration Symposium, Berlin,October 23, 2017.
Available from: 2017-10-27 Created: 2017-10-27 Last updated: 2017-11-10Bibliographically approved

Open Access in DiVA

No full text

Authority records BETA

Shepero, MahmoudMunkhammar, Joakim

Search in DiVA

By author/editor
Shepero, MahmoudMunkhammar, Joakim
By organisation
Solid State Physics
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 41 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf