A review of electric vehicle charging session open data
Yvenn Amara-Ouali, Pascal Massart, Jean‐Michel Poggi, Yannig Goude, Hui Yan
Abstract
The need for reliable and accessible electric vehicle (EV) charging data is becoming increasingly important as governments and industries aim to create low-carbon transport systems. Without careful grid management, the security of supply could be compromised. In this work, the results of an open data search are presented with 8 open charging session datasets highlighted and discussed from a practical perspective. These datasets cover a range of charging options (residential, workplace and public) and it is shown that they are all relevant for developing EV load models. To aid with this future modelling work, a distributional analysis of the main influential factors of EV charging load is provided.