An Agent-based Travel and Charging Behavior Model for Forecasting High-resolution Spatio-temporal Battery Electric Vehicle Charging Demand
| 项目名称： | An Agent-based Travel and Charging Behavior Model for Forecasting High-resolution Spatio-temporal Battery Electric Vehicle Charging Demand |
| 摘要： | The novelties of this work are twofold. First, the research team proposes an agent-based battery electric vehicle charging demand simulation model integrating travel and charging behaviors, which is able to estimate the high-resolution spatio-temporal distribution of charging demand. Second, the team constructs a novel charging behavior model for charging mode choice, which is able to capture non-linear changes in random utility, and the impact on charging choice of various factors, namely risk sensitivity, range buffer, and preference for charging rate. It focuses on the modeling and forecasting of renewable energy consumption in transportation sector, which could be directly applied in the optimal design of energy supply system and the modeling framework allows it to be generally adopted for broad application. |
| 状态： | Completed |
| 资金： | 15326 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Kline, Robin |
| 执行机构： | Center for Transportation, Environment, and Community Health |
| 开始时间： | 20210521 |
| 预计完成日期： | 20210820 |
| 实际结束时间： | 20210820 |
| 主题领域： | Energy；Highways；Planning and Forecasting；Vehicles and Equipment |
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