This article explores the charging profiles and preferences of electric vehicle (EV) drivers. It identifies three main strands: The charging profiles, preferences, and the recharging facilities through various clustering analyses. This, in turn, investigates the unique nature of the electric mobility (e-mobility) system. It is an empirical data-driven analyses of an existing EV system in the North East of England. The first analysis is charging-network oriented. It labels the main design and behavioural variables that affect the use of the Recharging Facilities (RFs) and investigates the correlation between the network design features and the users' charging patterns. The second analysis is end-user oriented and it aims at exploring the non-linear charging profiles and patterns of the EV drivers. This is followed by a matrix that links and puts together the carried out analyses. The study should be of interest to planning authorities and policy makers; it gives insights on the charging patterns and recommendations to understand the nature of the EV system and plan for new RFs.
|Publication status||Published - Nov 2014|
|Event||EFEA 2014: 3rd International Symposium on Environmental Friendly Energies and Applications - Paris, France|
Duration: 1 Nov 2014 → …
|Conference||EFEA 2014: 3rd International Symposium on Environmental Friendly Energies and Applications|
|Period||1/11/14 → …|