A route selection and charging navigation optimization model for electric vehicles(EVs)is presented for reducing traveling costs of EV users and improving the security of the distribution system concerned. With the aid of crowd sensing

a traffic information matrix acquisition method based on the matrix factorization technique is first addressed. The formulated objective of the presented model is to minimize the sum of driving and waiting costs

fast and regular EV charging costs based on the time of use(TOU)price mechanism

subject to a variety of technical constraints such as path selections

time

battery capacities

and charging or discharging state mutual exclusion constraints. A sample system is built by connecting four EV charging stations to the IEEE 33-bus distribution system

and the four EV charging stations are within a city center within a 25 km×25 km zone

and served for demonstrating the essential feature of the presented method. With respect to the situations with and without real-time traffic information

the impacts of the EV quantities participating in crowd sensing on the travel route and charging/discharging of EVs

as well as on the distribution system are also analyzed.