Open AccessRequired range of electric vehicles – an analysis of longitudinal mobility data
Author(s) -
Stark Juliane,
Link Christoph,
Simic Dragan,
Bäuml Thomas
Publication year - 2015
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2013.0019
Subject(s) - global positioning system , range (aeronautics) , transport engineering , driving range , computer science , point (geometry) , modalities , electric vehicle , engineering , telecommunications , social science , power (physics) , physics , geometry , mathematics , quantum mechanics , sociology , aerospace engineering
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.