Charging Connected and Autonomous Electric Vehicles in Smart Cities

In coming years, attraction to alternative urban mobility paradigms such as Connected and

Autonomous Electric Vehicles (CAEVs) will increase as CAEVs can significantly contribute

to not only optimize traffic flow and improve road safety but also minimize dependence on

fossil fuel and reduce carbon emission in urban areas. Nonetheless, there are several barriers

towards widespread adoption of CAEVs. In order to have significant growth of CAEVs in

urban areas, adequate number of charging facilities in urban areas is needed. However,

getting information of the available charging stations is still challenging. Furthermore, the

waiting time at the charging stations may be unpredictable. Thus an efficient smart CAEV

charging management is required for managing and allocating charging station resources

from different charging operators. In this paper, we have designed and implemented a

CAEV charging management system that utilizes automated reservation based charging

strategies which include effective reservation management and efficient allocation of time

slots of wireless charging stations. And we have conducted preliminary evaluations on various

charging parameters.

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