论文标题
使用在线车辆充电站任务的最佳快速充电站位置用于电动乘车服务服务
Optimal fast charging station locations for electric ridesharing service with online vehicle-charging station assignment
论文作者
论文摘要
电气化的共享移动服务需要处理基础架构计划并管理其日常充电操作，以最大程度地减少总收费操作时间和成本。但是，现有的研究倾向于分别解决这些问题。提出了一种新的在线车辆充电分配模型，并将使用电动汽车动态乘车服务的快速充电位置问题集成到快速充电位置问题中。后者被称为双层优化问题，以最大程度地减少车队的日常充电运行时间。提出了一种替代辅助优化方法，以有效地解决组合优化问题。提出的模型在卢森堡的现实灵活巴士服务上进行了测试。结果表明，与最先进的方法相比，提议的在线充电政策可以有效地减少车队的充电延迟。安装了10个DC快速充电器，在测试方案下应用在线充电政策时，充电运行时间最多可减少27.8％。
Electrified shared mobility services need to handle charging infrastructure planning and manage their daily charging operations to minimize total charging operation time and cost. However, existing studies tend to address these problems separately. A new online vehicle-charging assignment model is proposed and integrated into the fast charging location problem for dynamic ridesharing services using electric vehicles. The latter is formulated as a bi-level optimization problem to minimize the fleet's daily charging operation time. A surrogate-assisted optimization approach is proposed to solve the combinatorial optimization problem efficiently. The proposed model is tested on a realistic flexible bus service in Luxembourg. The results show that the proposed online charging policy can effectively reduce the charging delays of the fleet compared to the state-of-the-art methods. With 10 additional DC fast chargers installed, charging operation time can be reduced up to 27.8% when applying the online charging policy under the test scenarios.
