A new integrated charging infrastructure analytics service platform and applied research

Recently, Chinese Government has published series of policies and regulations to promote the development of electric vehicles (EVs). With the large scale implementation of EVs, a challenge that has to be addressed is the problem of “range anxiety”. With the installation of the charging infrastructures in large scale, it is essential to establish a reasonable operation mode in order to create the win-win situation for the charging infrastructure owners and the EV drivers. Meanwhile, the reliability and safety of the distribution grid should also be considered. Most of the existing charging infrastructure service platforms only provide the solution to solve the problem of “range anxiety” using the information technologies (IT), not concern about the impact of the distribution grid with the popularization of the EVs. This paper proposes a new integrated charging infrastructure analytics service platform which provides the efficient charging management and value-added services for utilities, EV drivers, and the owners/operators of charging facilities. The proposed integrated platform not only provides the more accurate available charging infrastructures distribution for EV owners, but also helps the utilities to evaluate the reliability or efficiency of the power grid impacted by the EV charging activities. The platform provides an overall solution, by combining the IT and operational technologies (OT) including the features of remote data acquisition and supervisory control, cloud-based analytics services, and mobile applications, etc. Many of the state-of-the-art technologies would be utilized, such as wireless communication, mobility internet, and big data analytics, to optimize the charging characteristics of thousands of charging facilities.