Charge timing choice behavior of battery electric vehicle users

This paper aims to examine choice behavior in respect of the time at which battery electric vehicle users charge their vehicles. The focus is on normal charging after the last trip of the day, and the alternatives presented are no charging, charging immediately after arrival, nighttime charging, and charging at other times. A mixed logit model with unobserved heterogeneity is applied to panel data extracted from a two-year field trial on battery electric vehicle usage in Japan. Estimation results, obtained using separate models for commercial and private vehicles, suggest that state of charge, interval in days before the next travel day, and vehicle-kilometers to be traveled on the next travel day are the main predictors for whether a user charges the vehicle or not, that the experience of fast charging negatively affects normal charging, and that users tend to charge during the nighttime in the latter half of the trial. On the other hand, the probability of normal charging after the last trip of a working day is increased for commercial vehicles, while is decreased for private vehicles. Commercial vehicles tend not to be charged when they arrival during the nighttime, while private vehicles tend to be charged immediately. Further, the correlations of nighttime charging with charging immediately and charging at other times reveal that it may be possible to encourage charging during off-peak hours to lessen the load on the electricity grid. This finding is supported by the high variance for the alternative of nighttime charging.

• Record URL:
  https://doi.org/10.1016/j.trd.2015.04.007
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1361920915000395
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Sun, Xiao-Hui
  • Yamamoto, Toshiyuki
  • Morikawa, Takayuki
• Publication Date: 2015-6

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 97-107
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 37
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Alternating current peak value; Behavior; Drivers; Electric vehicle charging; Electric vehicles; Logits; Off peak periods; Periods of the day
• Geographic Terms: Japan
• Subject Areas: Energy; Highways; Planning and Forecasting; Vehicles and Equipment; I15: Environment; I72: Traffic and Transport Planning; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01564459
• Record Type: Publication
• Files: TRIS
• Created Date: May 26 2015 4:08PM