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Space-Aware Modeling of Two-Phase Electric Charging Stations

机译:两相充电站的空间感知建模

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In order to match the energy demand of electric vehicles to the capacity of the power grid, it is fundamental to understand the occupancy of charging stations and to react accordingly. A Markov model of a fast charging station for lithium-ion (Li-ion) batteries, i.e., the most prevalent type today, is proposed. Li-Ion batteries present a two-step charging profile, making energy management particularly challenging. A wide range of situations is covered by considering three types of scenarios with and without waiting lines. The analytical results obtained from the steady-state solution of the Markov model reveal the behavior of multiple variables of interest: availability of the charging station to accept new customers (in terms of space and energy), number of customers, energy consumption, and power utilization. From the results, indicators for assessing the quality of service of the charging station are derived. Based on these indicators, customers may decide either to wait or to head toward another station. The owners of the stations, in turn, can predict the impact of investments in space and energy provisioning, when devising capacity planning strategies.
机译:为了使电动汽车的能量需求与电网容量相匹配,了解充电站的占用并做出相应的反应至关重要。提出了用于锂离子(Li-ion)电池的快速充电站的马尔可夫模型,即当今最流行的类型。锂离子电池具有两步充电曲线,这使得能源管理特别具有挑战性。考虑带有和不带有等待线的三种类型的场景可以涵盖各种情况。从马尔可夫模型的稳态解获得的分析结果显示了多个关注变量的行为:充电站可容纳新客户(根据空间和能源),客户数量,能耗和电量利用率。从结果中得出用于评估充电站服务质量的指标。根据这些指标,客户可以决定等待还是前往另一个车站。反过来,这些站的所有者可以在制定容量规划策略时预测空间和能源供应投资的影响。

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