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Electric vehicles (EVs) have enjoyed increasing adoption because of theglobal concerns about the petroleum dependence and greenhouse gas emissions.However, their limited driving range fosters the occurrence of chargingrequests deriving from EV drivers in urban road networks, which havesignificant uncertain characteristic from time dimension in the real-worldsituation. To tackle the challenge brought by the dynamic charging requests,this study is devoted to proposing optimal strategies to provide guidance forEV charging. The time-varying characteristic of road network is furtherinvolved in the problem formulation. Based on the charging request information,we propose two charging guidance strategies from different perspectives. One ofthe strategies considers the travel demands of EV drivers and uses the drivingdistance as the optimization criterion. In contrast, the other strategy focuseson the impacts of EV number on the charging station operation and servicesatisfaction. The reachable charging stations with minimum vehicle number areselected as the optimal ones. More importantly, both the strategies have theability to ensure the reachability of selected charging stations in atime-varying road network. In addition, we conduct simulation examples toinvestigate the performance of the proposed charging guidance strategies.Besides, the insights and recommendations on application scenarios of thestrategies are introduced according to the simulation results under variousparameter scenarios.

Optimal charging guidance strategies for electric vehicles by considering dynamic charging requests in a time-varying road network