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Optimal positioning of dynamic wireless charging infrastructure in a road network for battery electric vehicles

机译：电池电动汽车道路网动态无线充电基础设施的最佳定位

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摘要

Dynamic wireless charging (DWC) offers a plausible solution to extending Battery Electric Vehicle (BEV) driving range. DWC is costly to deploy and thus its locations need to be optimized. This raises a question often encountered in practice for infrastructure investment: how to determine the optimal locations of DWC facilities in a network. In this paper, we propose a sequential two-level planning approach considering the objectives of both the public infrastructure planning agency and the BEV users. Two different planners' objectives namely, total system travel time and total system net energy consumption are considered. Besides these objectives, constraints such as agency budget, range reassurance, and equity in resource distribution are also addressed at the planner's level. For each objective, BEV drivers respond by choosing their preferred route based on the location of DWC facilities implemented by the planner. An effective solution algorithm is utilized that has the capability of solving relatively large-scale real-world networks within a reasonable computational time. The numerical experiment and case study results provide useful insights on optimally positioning DWC infrastructure to minimize societal cost and energy.
机译：动态无线充电（DWC）为扩展电池电动车（BEV）驾驶范围提供合理的解决方案。 DWC昂贵地部署，因此需要优化其位置。这提出了一个在基础设施投资实践中经常遇到的问题：如何确定网络中DWC设施的最佳位置。在本文中，我们提出了一种序贯的两级规划方法，考虑到公共基础设施计划机构和BEV用户的目标。考虑了两种不同的规划师的目标，即全系统旅行时间和总系统净能耗。除了这些目标外，还在规划师的水平上解决了诸如机构预算等限制，范围保证和资源分布中的公平。对于每个目标，BEV司机通过根据计划者实施的DWC设施的位置选择首选路线来响应。利用有效的解决方案算法，其能够在合理的计算时间内解决相对大规模的现实网络。数值实验和案例研究结果为最佳定位DWC基础设施提供了有用的见解，以尽量减少社会成本和能量。

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