Research On Battery Swap Scheduling Of Electric Vehicles And Charging Strategy Of Battery Swap Station

It takes several hours to charge an electric vehicle(EV).The battery swap mode is a timesaving way to supplement energy.The battery swap mode decouples the charging and operation of EVs,thus reducing mileage anxiety caused by the poor endurance of EVs.However,the application of this mode is facing severe challenges.For instance,if EVs choose the same battery swap station(BSS),then the BSS will be in congestion due to the deficiency of its available electric quantity.The problem is how to schedule the EVs to alleviate congestion.Another problem is how to make the charge strategy of BSS to meet the EVs’ demand and minimizing the cost of charging as well.In order to alleviate the congestion in BSS,a game-based scheduling method is proposed.Firstly,the spatial characteristics of EVs and the congestion problem are analyzed.Based on the previous research,the game-based method is proposed to schedule EVs in every time slot.Then the price of battery swap and the EVs’ payment function is discussed,the mathematical model of the game is established.Finally,the effectiveness of the scheduling method is verified by simulation examples.The scheduling method proposed can alleviate the congestion in BSS.After the choice of EVs in every period is determined,the BSS can make the charge strategy.This thesis analyzes two situations,one is based on power grid’s time of use price and the other will consider wind power consumptive.To minimize the charging cost of BSS,taking into account the EVs’ demand,an optimization model is established.The example shows that the optimization model proposed can effectively reduce the charging cost of BSS under the premise of meeting the demand of EVs,and verifies BSS’s role in wind power consumptive.