Research On Mobility-aware Distributed Charging Strategy Of Electric Vehicles With Reservation

In recent years,electric vehicles rapid development because its advantages in reducing emissions and promote the use of renewable energy.But electric vehicle users have mileage anxiety because the electric vehicle driving range is shorter,charging station construction is relatively lagged and other reasons.The research of the existing charging scheduling strategy mainly focuses on the realization of grid load balancing by selecting the charging time,while ignoring the mileage anxiety problem of moving electric vehicles.Electric vehicles need to obtain charging stations and other vehicle information,and on this basis for its charging strategy to provide information support.Internet of Vehicles technology has developed rapidly in the field of Intelligent Transportation System(ITS),data communication between Vehicle to Road Side Unit(V2R)provides an implementation scheme for obtaining charging real-time information and Charging station real-time service capability information.In order to solve the problem of real-time status information of electric vehicle charging process and efficient charging scheduling using the acquired information,this paper proposes a mobility-aware distributed charging strategy of electric vehicles with reservation in V2 R communication.Through the real-time information interaction between electric vehicle and charging station,the performance of scheduling strategy is improved and optimized by considering various related factors of mobile charging scheduling.The main contributions of this paper are as follows:(1)Charging information distribution and reservation mechanism based on V2 R communication,it realizes the distribution of real-time charging station information and electric vehicle charging reservation through V2 R communication of mobile electric vehicle and road side unit.The In the information distribution process,the push / pull communication mode in the V2 R environment is proposed,and the probability of obtaining the information in the two communication modes is analyzed theoretically.Increase in the appointment mechanism in the pull mode to achieve the vehicle charging reservation.(2)A multi-factor charging station selection strategy is proposed.The charging station uses the Available Charge Time Prediction Algorithm(ACTPA)to obtain the status of the charging station.This information and other vehicle reservation are regularly distributed through RSU.The electric vehicle uses the Waiting Time Prediction Algorithm(WTPA)and the TravelDuration and Power Increment Prediction Algorithm to obtain the multi-factor information needed for the charging strategy,Perform multi-factor charging station selection strategy from the trip duration,power increment and distance three aspects.(3)The distributed charging scheduling platform suitable for mobile electric vehicles is built on the basis of the established model,integrated vehicle mobility,wireless communications and battery charging processes,and gives a methods of making maps of different cities on the ONE Simulator.In the simulation process,the influence of two aspects of information distribution mode(different information publish period and node communication radius)and charging station selection mechanism on charging scheduling strategy is compared with the existing classical scheduling strategy.The simulation results show that the MDCSR proposed in this paper can meet the demand of vehicle to obtain real-time charging information,has a shorter vehicle charging waiting time and a more balanced charging station utilization rate than the existing strategy in the city moving electric vehicle charging scene,especially in the different charging scenarios.