@techreport{JRC82307, number = {LD-NA-25993-EN-C (print), LD-NA-25993-EN-N (online)}, address = {Luxembourg (Luxembourg)}, issn = {1018-5593 (print), 1831-9424 (online)}, year = {2013}, author = {Pasaoglu G and Fiorello D and Zani L and Zubaryeva A and Thiel C and Martino A}, isbn = {978-92-79-30388-3 (print), 978-92-79-30387-6 (pdf)}, publisher = {Publications Office of the European Union}, abstract = {This study aims to build a database of load profiles for electric-drive vehicles (EDVs) based on car-use profiles of current conventional vehicles in six European countries (Germany, Spain, France, Italy, Poland, and the United Kingdom). Driving profiles were collected by means of sample travel surveys carried out in the six countries. The report presents the load profiles resulting from analysis of the travel survey data, and obtained by associating assumptions on technical features of EDVs with behavioural elements. The document explains in detail the methodology used and the assumptions adopted for the driving profiles estimation, discusses the results of scenarios for the six European countries, and presents an alternative scenario to assess how load profiles might change under different parameters. The load profiles, obtained from the scenario analysis, reveal that some differences between countries do exist; however, notably, the assumptions concerning when and where individuals can/want to recharge EDVs explain the amount of electricity demanded from the grid over time. Analysis of the scenarios confirms that uncontrolled recharging could lead to artificial electricity-demand spikes when certain time windows for lower tariffs exist network-wide. This can be prevented by means of controlled recharging supported by smart grids. It is worth mentioning at this point that the methodology applied in this study constitutes an intermediate step, taken before the field data from EDV users become available. }, title = {Projections for Electric Vehicle Load Profiles in Europe Based on Travel Survey Data}, type = {Scientific analysis or review, Anticipation and foresight}, url = {}, doi = {10.2790/46218 (print), 10.2790/24108 (online)} }