Examining User-Range Interaction in Battery Electric Vehicles - a Field Study Approach

In order to provide users with an optimal range-related user experience, it is essential to develop a comprehensive understanding of everyday user-range interaction. For this to happen, it is important to sample a high amount of situations where battery-electric vehicle (BEV) users must actively interact with the range resources of their BEV. The present contribution presents the methodology (i.e., a toolbox to study user-range interaction) and preliminary results of a field study that was designed to reach this objective: The BMW ActiveE long-distance commuter field trial in the area of Leipzig, Germany. Within this study, a sample of 75 customers was given the opportunity to drive a BEV for three months. Applicants were recruited via an online screening questionnaire. In order to be selected, participants had to drive at least 90 km per day. A comprehensive data set was generated based on qualitative interviews, questionnaires, diary methods, and data loggers. Relevant constructs were identified and translated into items/scales or specific score definitions. Initial results show that even users who have high daily mobility needs can cope with the limited range of a BEV. However, results also point to the potential of strategies aimed at supporting users in adapting to BEV range to reach an optimal user experience even under conditions of high range demand.

[1]  I. Neumann,et al.  ADAPTING TO THE RANGE OF AN ELECTRIC VEHICLE – THE RELATION OF EXPERIENCE TO SUBJECTIVELY AVAILABLE MOBILITY RESOURCES , 2012 .

[2]  Dick de Waard,et al.  A simple procedure for the assessment of acceptance of advanced transport telematics , 1997 .

[3]  Adrian Meule,et al.  Psychometrische Evaluation der deutschen Barratt Impulsiveness Scale – Kurzversion (BIS-15) , 2011 .

[4]  Madlen Günther,et al.  User interaction with remote access to range-related information in BEVs , 2014 .

[5]  Thomas Franke,et al.  Enhancing sustainability of electric vehicles: A field study approach to understanding user acceptance and behavior , 2011 .

[6]  Thomas Franke,et al.  Understanding charging behaviour of electric vehicle users , 2013 .

[7]  Thomas Franke,et al.  Interacting with limited mobility resources: Psychological range levels in electric vehicle use , 2013 .

[8]  R. Fuller Towards a general theory of driver behaviour. , 2005, Accident; analysis and prevention.

[9]  Thomas Franke,et al.  Is EV experience related to EV acceptance? Results from a German field study , 2014 .

[10]  Roman Vilimek,et al.  Exploring Electric Driving Pleasure - The BMW EV Pilot Projects , 2013, HCI.

[11]  Maximilian Schwalm,et al.  Methods of evaluating electric vehicles from a user's perspective - The MINI E field trial in Berlin , 2011 .

[12]  Roger H. Bezdek,et al.  Peaking of World Oil Production and Its Mitigation , 2006 .

[13]  Gerd Bohner,et al.  Need for cognition: eine Skala zur Erfassung von Engagement und Freude bei Denkaufgaben , 1991 .

[14]  Marcelle C. McManus,et al.  Environmental consequences of the use of batteries in low carbon systems: The impact of battery production , 2012 .

[15]  David A. King,et al.  Indirect emissions from electric vehicles: emissions from electricity generation , 2010 .

[16]  I. Neumann,et al.  Experiencing Range in an Electric Vehicle: Understanding Psychological Barriers , 2012 .

[17]  Nadine Rauh,et al.  Range comfort zone of electric vehicle users – concept and assessment , 2015 .

[18]  D. Sperling,et al.  Demand for Electric Vehicles in Hybrid Households: An Exploratory Analysis , 1994 .

[19]  Mark Burgess,et al.  A Longitudinal Assessment of the Viability of Electric Vehicles for Daily Use , 2013 .

[20]  Anders Hammer Strømman,et al.  Environmental impacts of hybrid and electric vehicles—a review , 2012, The International Journal of Life Cycle Assessment.

[21]  Thomas Franke,et al.  What drives range preferences in electric vehicle users , 2013 .

[22]  Thomas Franke,et al.  The Timeframe of Adaptation to Electric Vehicle Range , 2013, HCI.