文章基本信息

标题：Optimal Charging Policy for an Electric Vehicle Battery Swap Station
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作者：Hailong SUN
期刊名称：Management Science and Engineering
印刷版ISSN：1913-0341
电子版ISSN：1913-035X
出版年度：2016
卷号：10
期号：3
页码：7-12
语种：English
出版社：Canadian Research & Development Center of Sciences and Cultures
其他摘要：To eliminate range anxiety of electric vehicle and to facilitate long-distance travel, the industry has developed a new concept which is called Battery Swap Station (BSS). While this battery swapping mode faces a big challenge, that is, to minimize the battery charging cost, how to manage the inventory of full available batteries to meet battery swapping demand facing the time-varying electricity prices. In this work, we propose a finite horizon Markov decision process model to explore this problem. We derive a series of structural properties and characterize the optimal charging policy. An efficient monotone backward induction algorithm is provided to solve the finite horizon stochastic dynamic program.
关键词：Electric vehicle;Battery swapping;Markov decision process;Charging policy