Analysis of Charging Behavior Based on the Data of Private Electric Cars in Beijing

The development of electric vehicles is occurring rapidly and demand for charging capacity is also increasing, so it is of great practical significance to study the charging behavior of electric vehicles (EVs). Based on the data of private electric cars in Beijing, this paper has extracted trip chains of EVs, considering a variety of potential influencing factors, and used different numbers to represent different charging behavior, then established two models: a kind of binomial logistic model (0-1/0-2 model) for single charging behavior and a kind of multiple logistic model (0-1-2 model) for non-single charging behavior. Comparing the two models, the results showed that the former model is better. This research will help to enrich research on charging prediction considering multiple charging options, and also be good for EVs drivers to make better charging decisions.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 2648-2660
  • Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

Filing Info

  • Accession Number: 01768177
  • Record Type: Publication
  • ISBN: 9780784483053
  • Files: TRIS, ASCE
  • Created Date: Dec 9 2020 3:04PM