Dynamic Wireless Charging Facility Location Problem for Battery Electric Vehicles under Electricity Constraint
Dynamic Wireless Charging Facility Location Problem for Battery Electric Vehicles under Electricity Constraint
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DOI：
10.1007/s11067-023-09592-1
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发表时间：
2023-06
影响因子：
2.4
通讯作者：
Amit Kumar;Sabyasachee Mishra;H. Ngo
中科院分区：
文献类型：
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作者：
Amit Kumar;Sabyasachee Mishra;H. Ngo
尽管最近的技术发展，电池电动汽车（BEV）提出了几个缺点，包括充电时间，范围有限，充电设施数量不足。为了解决这些缺点，动态无线充电（DWC）技术正在受到关注。DWC可以通过将感应线圈嵌入道路路面下来实现，以在不需要停止的情况下动态地对运动中的BEV充电。这为BEV的基础设施规划提出了一个重要问题：如何在道路网络中优化DWC基础设施。最佳DWC设施位置的规划需要考虑BEV驾驶员在路线选择方面对新实施的DWC的反应，以反映其单方面效用最小化目标。DWC实施的进一步复杂性包括区域剩余电力的可用性。在本文中，我们提出了一个双层规划方法，同时考虑规划者和驱动程序的目标。该方法明确纳入了五个要素：系统级的社会成本，个人的出行模式，行程完成保证，区域DWC的实施限制，由于电网的能源供应，和总预算的可用性从公共机构。该框架首先证明了在数值实验设置使用苏福尔斯网络。然后，该框架也实现了使用城市的芝加哥草图网络，以证明其适用于实际规模的网络。使用这两个网络的数值结果提供了宝贵的见解规划者制定一个最佳的DWC实施计划。
Despite the recent development in technology, Battery Electric Vehicle (BEV) pose several drawbacks including recharging time, limited range, and inadequate number of charging facilities. In an effort to address these drawbacks, Dynamic Wireless Charging (DWC) technology is gaining attention. DWC can be implemented by embedding the induction coil under a roadway pavement to dynamically charge the BEV in motion without a need to stop. This prompts an important question for infrastructure planning of BEVs: how to optimally locate DWC infrastructure in a road network. Planning for optimal DWC facility location needs to consider how BEV drivers will react to the newly implemented DWC in terms of route choice to reflect their unilateral utility minimization objective. Further complexities of DWC implementation include availability of zonal surplus electricity. In this paper, we propose a bi-level planning approach considering both the objectives of the planners and the drivers. The approach explicitly incorporates five elements: system-level social costs, travel patterns of individuals, trip completion assurance, zonal DWC implementation constraint due to energy availability from grid, and total budget availability from the public agency. The proposed framework is first demonstrated in a numerical experiment setting using Sioux Falls network. Then the framework is also implemented using city of Chicago sketch network to demonstrate its applicability to real-size networks. The numerical results using these two networks provide valuable insights for planners for developing an optimal DWC implementation plan.