Smart Charging Benefits in Autonomous Mobility on Demand Systems
Smart Charging Benefits in Autonomous Mobility on Demand Systems
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DOI：
10.1109/itsc.2019.8917278
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发表时间：
2019-06
期刊：
影响因子：
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通讯作者：
Berkay Turan;Nathaniel Tucker;M. Alizadeh
中科院分区：
文献类型：
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作者：
Berkay Turan;Nathaniel Tucker;M. Alizadeh
在本文中，我们研究了智能充电对提供自主按需移动(AMOD)服务的电动汽车(EVS)车队的潜在好处。我们首先考虑一个利润最大化的平台运营商，他根据网络流量模型做出路线选择、收费、重新平衡和乘车定价的决策。显然，这些决策中的每一个都直接影响车队的智能充电潜力；然而，在经典的网络流量模型下，不可能直接表征各种系统参数对智能充电的影响。因此，我们提出了一种模型变化，使我们能够分离运营商面临的充电和路由问题。这一变化使我们能够提供封闭形式的数学表达式，将充电成本与车辆的最大电池容量以及车队运营成本联系起来。我们表明，投资于更大的电池容量和运营更多的车辆来实现再平衡，可以降低充电成本，同时增加车队的运营成本。因此，我们研究了运营商面临的权衡，分析了最小成本车队充电策略，并提供了数值结果，说明了智能充电给运营商带来的好处。
In this paper, we study the potential benefits from smart charging for a fleet of electric vehicles (EVs) providing autonomous mobility-on-demand (AMoD) services. We first consider a profit-maximizing platform operator who makes decisions for routing, charging, rebalancing, and pricing for rides based on a network flow model. Clearly, each of these decisions directly influence the fleet's smart charging potential; however, it is not possible to directly characterize the effects of various system parameters on smart charging under a classical network flow model. As such, we propose a modeling variation that allows us to decouple the charging and routing problems faced by the operator. This variation allows us to provide closed-form mathematical expressions relating the charging costs to the maximum battery capacity of the vehicles as well as the fleet operational costs. We show that investing in larger battery capacities and operating more vehicles for rebalancing reduces the charging costs, while increasing the fleet operational costs. Hence, we study the trade-off the operator faces, analyze the minimum cost fleet charging strategy, and provide numerical results illustrating the smart charging benefits to the operator.