考虑动态行程时间及能耗的电动公交充电设施与充电调度联合优化OA

[Background]The configuration of electric bus charging infrastructure and charging scheduling is significantly influenced by dynamic fluctuations in travel time and energy consump-tion.Previous studies have rarely provided a comprehensive consideration of the spatiotemporal dy-namics of vehicle travel time and energy consumption.[Objective]To consider the dynamic charac-teristics of travel time and energy consumption,and jointly optimize charging infrastructure configu-ration and real-time charging plans,in order to reduce operating costs and alleviate grid pressure.[Method]Firstly,in the infrastructure configuration stage,a charging infrastructure configuration op-timization model is developed to minimize total system costs,determining the optimal parameters such as the scale of fast chargers and battery capacity.Subsequently,in the charging scheduling stage,a rolling-horizon optimization model is formulated to minimize charging costs.Then,a case study was conducted using the real-world bus operating data.[Result]Compared with conventional slow-charging infrastructure configuration,the charging infrastructure configuration model reduces total deployment costs by approximately 58%.Concurrently,real-time rolling-horizon charging scheduling achieves an approximately 21%reduction in operational charging costs compared with uncoordinated charging,and the optimal length of the rolling-horizon time window is estimated to be 180 minutes.[Application]The findings hold significant theoretical and practical implications for advancing precision management in urban electric bus operations.