This paper presents a data-driven joint model designed to simultaneously deploy and operate infrastructure for shared electric vehicles(SEVs).The model takes into account two prevalent smart charging strategies:the Ti...This paper presents a data-driven joint model designed to simultaneously deploy and operate infrastructure for shared electric vehicles(SEVs).The model takes into account two prevalent smart charging strategies:the Time-of-Use(TOU)tariff and Vehicle-to-Grid(V2G)technology.We specifically quantify infrastructural demand and simulate the travel and charging behaviors of SEV users,utilizing spatiotemporal and behavioral data extracted from a SEV trajectory dataset.Our findings indicate that the most cost-effective strategy is to deploy slow chargers exclusively at rental stations.For SEV operators,the use of TOU and V2G strategies could potentially reduce charging costs by 17.93%and 34.97%respectively.In the scenarios with V2G applied,the average discharging demand is 2.15kWh per day per SEV,which accounts for 42.02%of the actual average charging demand of SEVs.These findings are anticipated to provide valuable insights for SEV operators and electricity companies in their infrastructure investment decisions and policy formulation.展开更多
基金National Natural Science Foundation of China(52002345)Public Policy Research Funding Scheme of The Government of the Hong Kong Special Administrative Region(Project Number:2023.A6.232.23B)+2 种基金Hong Kong Polytechnic University[P0013893P0038213P0041230].
文摘This paper presents a data-driven joint model designed to simultaneously deploy and operate infrastructure for shared electric vehicles(SEVs).The model takes into account two prevalent smart charging strategies:the Time-of-Use(TOU)tariff and Vehicle-to-Grid(V2G)technology.We specifically quantify infrastructural demand and simulate the travel and charging behaviors of SEV users,utilizing spatiotemporal and behavioral data extracted from a SEV trajectory dataset.Our findings indicate that the most cost-effective strategy is to deploy slow chargers exclusively at rental stations.For SEV operators,the use of TOU and V2G strategies could potentially reduce charging costs by 17.93%and 34.97%respectively.In the scenarios with V2G applied,the average discharging demand is 2.15kWh per day per SEV,which accounts for 42.02%of the actual average charging demand of SEVs.These findings are anticipated to provide valuable insights for SEV operators and electricity companies in their infrastructure investment decisions and policy formulation.
