Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess Required range of electric vehicles – an analysis of longitudinal mobility data

Conventional cars allow their users to decide about a journey's modalities largely independent. Electric vehicles (EVs) also must ensure this to be a real substitute from the user's point of view. This study focuses on range as a crucial technical feature of EVs. Many of the existing studies underestimate range requirements, as they are based on (i) one-day analyses and on (ii) mean values of daily trip distances. These data are not appropriate to answer questions on user needs; longitudinal mobility data are more suitable. This study analyses both, existing mobility data and new recorded global positioning system (GPS) data with regard to range requirements. Particularly, it was analysed whether or not identified daily driving cycles can be fulfilled with EVs assuming different charging opportunities. The analysis shows that GPS-recorded driving cycles of 80% of small-scale vehicles, 67% of midsized vehicles and 40% of sport utility vehicles can be realised with EVs.

References

    1. 1)
      • 17. Sammer, G., Berger, J.W., Matiasek, F.: ‘Travel behaviour patterns in the USA and Austria in comparison – an instructive lesson for transport policy’. Proc. European Transport Conf., Homerton College, Cambridge, September 2002.
    2. 2)
    3. 3)
    4. 4)
      • 12. Verkehrsclub Österreich: ‘Potenziale von elektromobilität’ (potetials of electric mobility) (VCÖ, 2009, 1st edn.).
    5. 5)
      • 3. Leitinger, C., Litzlbauer, M., Schuster, A., et al: ‘Smart-electric-mobility (SEM) – speichereinsatz für regenerative elektrische mobilität und netzstabilität (final research report)’ (SEM – battery use for regeneratic electric mobiliy and network stability), (Klima-, Energiefonds, Wien, 2011, 1st edn.).
    6. 6)
    7. 7)
    8. 8)
      • 25. Statistik Austria: ‘Energiestatistik: mikrozensus energieeinsatz der haushalte 2007/2008. Fahrleistungen und treibstoffeinsatz privater Pkw’ (energy statistic: census regarding energy consumption of households 2007/2008. Driving patterns and fuel consumption of private cars), (Statistik Austria, 2008, 1st edn.).
    9. 9)
    10. 10)
    11. 11)
      • 10. Steinkemper, H.: ‘Wettlauf um die zweite erfindung des automobils’, (Competition for the second invention of cars), Internationales Verkehrswesen, 2010, 63, pp. 1719.
    12. 12)
      • 18. Henrik Kullingsjö, L., Karlsson, S.: ‘The Swedish car movement data project’. Proc. EEVC European Electric Vehicle Congress, 2012, pp. 112.
    13. 13)
    14. 14)
      • 29. Heißing, B., Ersoy, M.: ‘Chassis handbook;, fundamentals, driving dynamics, components, mechatronics, perspectives’, Vieweg+Teubner Verlag, Springer Fachmedien Wiesbaden GmbH 2011, 2011, 1st edn., pp. 3546.
    15. 15)
      • 13. Johänning, K., Vallee, D.: ‘Nutzungspotenziale für den elektro-pkw’, (market potential of EVs), Internationales Verkehrswesen, 2011, 63, (4), pp. 6669.
    16. 16)
      • 27. Statistik Austria: ‘Statistisches jahrbuch Österreichs 2011’ (annual abstract of statistics for Austria), (Statistik Austria, 2012, 1st edn.).
    17. 17)
      • 9. Nilson, M.: ‘Electric vehicles. The phenomenon of range anxiety’ (Lindholmen Science Park, Sweden. Research project (FP 7) “Elvire”, 2011, 1st edn.).
    18. 18)
      • 28. Statistik Austria: ‘Bevölkerungsstand 2009 – Bezirke’ (Population 2009 – districts), (Statistik Austria, 2010, 1st edn.).
    19. 19)
      • 26. Herry, M., Sammer, G.: ‘Mobilitätserhebung österreichischer haushalte. Bundesverkehrswegeplan. work packages A3-H2’ (Mobility survey of Austrian households. National mobility plan), (Wien, 1999, 1st edn.).
    20. 20)
      • 24. Karmasin Motivforschung: ‘Prolytic – marketing engineering’ (Consulting & Software GmbH, 2010). Marktstudie E-Mobilität. Wien..
    21. 21)
      • 21. Campbell, A.R., Ryley, T., Thring, R.: ‘Identifying the early adopters of alternative fuel vehicles: a case study of Birmingham, United Kingdom’, Transp. Res. A, 2012, 46, pp. 13181327.
    22. 22)
    23. 23)
      • 5. Hensley, R., Knupfer, S., Krieger, A.: ‘The fast lane to the adoption of EVs’ (McKinsey Quarterly, 2011, 1st edn.).
    24. 24)
      • 33. Fellendorf, M., Herry, M., Karmasin, H., et al: ‘KOMOD – konzeptstudie mobilitätsdaten Österreichs: handbuch für mobilitätserhebungen’ (KOMOD – concept study mobility data Austria: manual for mobility surveys)Project report, Vienna (2011, 1st edn.).
    25. 25)
      • 30. Bäuml, T., Simic, D.: ‘Simulation and comparison of different energy management strategies of a series hybrid electric vehicle’. IEEE Vehicle Power and Propulsion Conf., VPPC, Harbin, China, 2008.
    26. 26)
    27. 27)
      • 31. Bäuml, T., Giuliani, H., Simic, D., Pirker, F.: ‘An advanced simulation tool based on physical modeling of electric drives in automotive applications’. IEEE Vehicle Power and Propulsion Conf., VPPC, Arlington, USA, 2007, pp. 736741.
    28. 28)
      • 8. Franke, T., Krems, J.F.: ‘Interacting with limited mobility resources: psychological range levels in electric vehicle use’, Transp. Res. A, 2013, 48, pp. 109122.
    29. 29)
    30. 30)
      • 19. Loechl, M.: ‘Stability of Travel Behaviour: Thurgau 2003’, Travel Survey Metadata Series, 2005, 16.
    31. 31)
      • 11. Van Haaren, R.: ‘Assessment of EVs – range requirements and usage patterns based on driving behavior recorded in the national household travel survey of 2009’ (Earth and Environmental Engineering Department, Columbia University, 2011, 1st edn.).
    32. 32)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2013.0019
Loading

Related content

content/journals/10.1049/iet-its.2013.0019
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address