• DocumentCode
    3605461
  • Title

    Eco-driving strategies in battery electric vehicle use – how do drivers adapt over time?

  • Author

    Neumann, Isabel ; Franke, Thomas ; Cocron, Peter ; Bu?Œ?†hler, Franziska ; Krems, Josef F.

  • Author_Institution
    Cognitive & Eng. Psychol., Tech. Univ. Chemnitz, Chemnitz, Germany
  • Volume
    9
  • Issue
    7
  • fYear
    2015
  • Firstpage
    746
  • Lastpage
    753
  • Abstract
    Eco-driving is of high importance when driving battery electric vehicles (BEVs) in terms of prolonging the vehicle´s limited range. A longitudinal field study with 40 participants was conducted to examine which eco-driving strategies users know before and after driving a BEV for 3 months. Furthermore, participant´s knowledge regarding eco-driving strategies with BEVs against internal combustion engine vehicles (ICEVs) was compared. After 3 months of BEV usage, a driving test was applied in order to investigate the strategies drivers apply to drive energy efficiently and to estimate the effectiveness of these strategies. Results reveal that reported eco-driving strategies for BEVs and ICEVs differ significantly. Users reported significantly more BEV eco-driving strategies after experiencing the BEV for 3 months than before. Furthermore, drivers were able to significantly reduce energy consumption by applying eco-driving strategies in the driving test. Reported eco-driving strategies proved to be effective. The results imply that eco-driving strategies for ICEVs have to be adapted for BEV eco-driving and that drivers gain a deeper understanding of factors that influence energy consumption by experiencing the BEV for a longer period of time. Based on the results, support of the driver through training or assistance systems is recommended.
  • Keywords
    battery powered vehicles; driver information systems; internal combustion engines; BEV; ICEV; battery electric vehicle; driver assistance system; eco-driving strategy; energy consumption; internal combustion engine vehicles;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transport Systems, IET
  • Publisher
    iet
  • ISSN
    1751-956X
  • Type

    jour

  • DOI
    10.1049/iet-its.2014.0221
  • Filename
    7243378