An Electric Vehicle's Charging Strategy Considering Users' Operating Costs And Demands

The benefits and demands of EV users can be guaranteed and the participation would be increased by designing the charging strategy from users' perspective.Considering the optimization for power system after satisfying users' benefits and demands is expected to achieve a better effect.EV is very different with internal combustion vehicles in the way of energy storage and refueling.Hence there are some points worth to focus on.First,the charging time of EVs is much longer and there are different ways of charging.Moreover,the energy storage device of EVs i.e.power battery is expensive and its useful life is limited.The capacity of battery decreases with the usage of battery and the useful life of battery is affected by different ways of charging.Besides,the capacity of battery is limited and the driving range of EVs is not far.Accordingly,this paper consider the cost of battery capacity degradation,electricity cost and the waiting time for charging as the benefits of EV users.The optimization of power grid is conducted after ensuring the benefits and demands of EV users.This dissertation proposes discussions around the electric vehicle operating costs and the use of user's need for charging strategy research,mainly including the following aspects of content:First of all,all those various routes are classified into two types,which are regular routes including trips to working areas,Universities,etc.,and irregular routes including trips to shopping mall,hospital,etc.Then the users' needs of and interests two types route are analyzed.Secondly,a cost model of battery capacity degradation under different SOC range is developed based on experimental data to estimate the cost of battery degradation,and it is the basis for the analysis of the cost of battery capacity degradation calculation and the charging strategy;For regular routes,choose the charging time according to time of use(TOU)electricity prices and dwelling time.After guaranteeing the charging electricity cost and the cost of battery capacity degradation are minimum,use the artificial fish swarm algorithm(AFSA)to optimize the distribution network load curve.For irregular route,the SOC range is designed according to the cost model of battery capacity degradation and the user travel demand;the users' charging queuing model is improved according to the queuing theory model to reduce the waiting time for charging.Besides,the charging strategy is proposed to reduce the cost of battery capacity degradation,charging electricity cost and waiting time for charging in different scenarios after ensuring EV users' benefits and demands.The cost model of battery capacity degradation under different SOC range is developed based on experimental data to estimate the cost of battery degradation.The simulation results show that the appropriateplanning of the SOC range greatly reduced 80%of the cost of battery degradation,and the queuing theory also reduced over 60%of the waiting time in the busy situations.Those works can also become a premise of charging management to increase the participation.The proposed strategy focusing on EV users' benefits would not give negative impacts on power grid,and the grid load is also optimized by artificial fish swarm algorithm in the solution space of charging time restricted by EV users' benefits.