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Optimal fast charging station locations for electric ridesharing with vehicle-charging station assignment

机译:车辆充电站分配电动乘法乘法的最佳快速充电站位置

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摘要

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.
机译:电气化共享移动服务需要处理收费基础设施规划并管理日常充电操作,以最大限度地降低总充电操作时间和成本。然而,现有研究倾向于分别解决这些问题。建议新的在线车辆充电分配模型,并集成了使用电动车辆动态乘法服务的快速充电位置问题。后者被制定为双级优化问题,以最大限度地减少舰队的日常充电操作时间。提出了一种辅助优化方法,以有效地解决组合优化问题。拟议的模型在卢森堡的逼真灵活的巴士服务上进行了测试。结果表明,与最先进的方法相比,拟议的在线计费政策可以有效地降低车队的充电延误。安装了10个额外的DC快速充电器,在测试场景下在线计费政策时,充电操作时间可减少高达27.8%。

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