The Research On Optimization For On-route Charging Strategy Of Connected Electric Vehicles

The increasingly serious energy crisis and environmental problems make people pay much attention to the use of renewable energy.In order to reduce the oil consumption and environmental pollution brought by transportation,the world is actively promoting the development of electric vehicles(EV).However,some problems such as short range,long charging time and high cost have hindered the development of electric vehicles.The rapid development of information technology and vehicle communication technology has accelerated the landing of the Internet of vehicles.The vehicles on the road can obtain real-time information including road conditions and road infrastructure through the Internet of vehicles,which brings more diversified services to the travel of electric vehicles.This paper studies the charging strategy of electric vehicles based on the Internet of vehicles.Taking the optimal charging strategy of EV as the research target,this paper firstly analyzes the charging process and energy consumption process of EV,and constructs the charging equation and energy consumption model of EV.Then,for a given path,a charging strategy solving model with the minimum charging time and charging cost as the objectives is constructed.The case study shows that the optimal charging strategy with the shortest time as the target can save up to 30% of charging time compared with the general charging strategy,and the optimal charging strategy with the least cost as the target can save up to 20% of charging cost.Finally,based on the space-time state network,the optimal charging strategy model in the network is constructed,and the simulation is carried out in the real highway network.When solving the charging strategy of EV with the shortest time on a given path,different initial electric quantity,safe electric quantity threshold and average driving speed will result in different charging strategies and travel time.The higher the initial electric quantity is,the less charging quantity will be needed in the process of driving and the charging time will be reduced.However,in the long-distance travel,the initial electric quantity has little influence on the total travel time.The higher the threshold,the lower the range anxiety will be.However,the higher the threshold,the more charging times will increase,because the owners are unwilling to take the risk of not being able to reach the next charging station,and are more willing to charge in advance.Therefore,the high energy threshold will increase the total travel time.In actual travel,the safety threshold of electricity needs to be set reasonably according to the degree of individual range anxiety,which should not only take into account the feeling of range anxiety,but also take into account the charging time and charging cost.The driving speed can greatly influence the charging strategy,because the increase of the speed will obviously increase the driving energy consumption,and the charging time and cost will increase as the speed increases.Dynamic price environment is taken into account when solving the charging strategy of EV with the lowest cost on a given path.In the dynamic electricity price environment,the departure time and the electricity price settings of charging stations along the way will affect the charging cost of the whole trip.When solving the charging strategy of EV in the road network,it is found through the tests on different initial electric quantity,safe electric quantity threshold and average driving speed that the parameters will produce different charging strategies and charging time,and the influence trend is basically consistent with the above study.In the actual road network,there are advantages and disadvantages in the distance between different paths.The optimization of charging strategy has no obvious influence on the path.The practical example also shows that the optimal charging strategy is sensitive to the change of parameters,while the optimal path is less affected by the parameters of the vehicle itself.In the context of connected EV,the optimization of in-route charging strategy of networked EV is studied based on the research ideas and methods in this paper.With the help of Internet of vehicles,the charging strategy optimization model proposed in this paper can effectively reduce the charging cost and charging time of EVs.