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Optimal battery purchasing and charging strategy at electric vehicle battery swap stations

机译:电动汽车电池交换站的最佳电池采购和充电策略

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A battery swap station (BSS) is a facility where electric vehicle owners can quickly exchange their depleted battery for a fully-charged one. In order for battery swap to be economically sound, the BSS operator must make a long-term decision on the number of charging bays in the facility, a medium-term decision on the number of batteries in the system, and short-term decisions on when and how many batteries to recharge. In this paper, we introduce a periodic fluid model to describe charging operations at a BSS facing time-varying demand for battery swap and time-varying prices for charging empty batteries, with the objective of finding an optimal battery purchasing and charging policy that best trades off battery investment cost and operating cost including charging cost and cost of customer waiting. We consider a two-stage optimization problem: An optimal amount of battery fluid is identified in the first stage. In the second stage, an optimal charging rule is determined by solving a continuous-time optimal control problem. We characterize the optimal charging policy via Pontryagin's maximum principle and derive an explicit upper bound for the optimal amount of battery fluid which allows us to quantify the joint effect of demand patterns and electricity prices on battery investment decisions. In particular, fewer batteries are needed when the peaks and the troughs of these periodic functions occur at different times. (C) 2019 Elsevier B.V. All rights reserved.
机译:电池互换站(BSS)是电动车主可以快速交换其耗尽电池的设施,以便充满电。为了使电池交换是经济的声音,BSS运营商必须对设施中的充电托架数量进行长期决定,这是系统中电池数量的中期决定,以及短期决策什么以及多少电池充电。在本文中,我们介绍了一个周期性流体模型,以描述在对电池交换的电池交换和时变电池的时变需求面临的BSS的充电操作,目的是找到最佳交易的最佳电池购买和充电政策关闭电池投资成本和运营成本,包括充电成本和客户等待的成本。我们考虑了两级优化问题:在第一阶段中识别出最佳的电池流体。在第二阶段,通过求解连续时间最佳控制问题来确定最佳充电规则。我们通过Pontryagin的最大原理表征了最佳充电政策,并为最佳电池流体提供了明确的上限,这使我们能够量化需求模式和电价对电池投资决策的关节效果。特别是,当这些周期性功能的峰值和槽时,需要更少的电池发生在不同时间。 (c)2019 Elsevier B.v.保留所有权利。

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