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.

尽管最近技术得到了发展，但纯电动汽车 (BEV) 仍存在一些缺点，包括充电时间、行驶里程有限和充电设施数量不足。为了解决这些缺点，动态无线充电 (DWC) 技术越来越受到关注。DWC 可以通过将感应线圈嵌入道路路面下来实现，无需停车即可为运动中的 BEV 动态充电。这引发了 BEV 基础设施规划的一个重要问题：如何在道路网络中优化定位 DWC 基础设施。规划最佳 DWC 设施位置需要考虑 BEV 驾驶员将如何在路线选择方面对新实施的 DWC 作出反应，以反映他们的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，我们提出了一种双层规划方法，同时考虑了规划者和司机的目标。该方法明确包含五个要素：系统级社会成本、个人出行模式、行程完成保证、由于电网能源可用性导致的区域 DWC 实施限制以及公共机构的总预算可用性。所提出的框架首先在使用 Sioux Falls 网络的数值实验设置中进行了演示。然后还使用芝加哥市草图网络实现了该框架，以证明其对实际规模网络的适用性。使用这两个网络的数值结果为规划人员制定最佳 DWC 实施计划提供了宝贵的见解。