Optimal Charging Station Planning to Adapt Mass Adoption of Electric Vehicles under Both Normal and Evacuation Scenarios (Project B6)
| 项目名称： | Optimal Charging Station Planning to Adapt Mass Adoption of Electric Vehicles under Both Normal and Evacuation Scenarios (Project B6) |
| 摘要： | Recently, the climate change effect is quickly moving up the agenda of Government and companies to promote the mass adoption of electric vehicles (EVs). To move toward this goal, state of the art shows that the critical obstacle is insufficient EV charger infrastructure. Accordingly, many state and local agencies (e.g., state DOTs, counties, and cities), and companies (e.g., Tesla), are planning to install fast-charging infrastructure (e.g., Direct Current Fast Charger (DCFC)). However, charging stations and the roads around them will easily become congested resources in the transportation network due to relatively long charging time (>20 minutes). This STRIDE project will develop an optimal roadside DCFC charging station installation (location and capacity) plan by integrating optimization, simulation, queue theory, link flow dynamics, and machine learning approaches to mitigate charging station queueing and nearby traffic congestion. The resulted modeling and algorithms will enable adaptive roadside DCFC installation plan fitting the massive EV usage under both normal and evacuation scenarios. The research team will use the Florida State highway system as the testbed and build simulation studies through Florida Statewide Model FLSWM to evaluate the performance of our approaches. The team expects their approaches can help both transportation electrification and resilience in USA. |
| 状态： | Active |
| 资金： | 90000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE) |
| 项目负责人： | Tucker-Thomas, Dawn |
| 执行机构： | University of Florida Transportation Institute<==>Florida International University |
| 主要研究人员： | Du, Lili；Jin, Xia |
| 开始时间： | 20220201 |
| 预计完成日期： | 20230523 |
| 主题领域： | Energy；Highways；Planning and Forecasting；Security and Emergencies；Vehicles and Equipment |
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