Adaptive charging network for electric vehicles

Adaptive charging network for electric vehicles
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DOI:
10.1109/globalsip.2016.7905971
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发表时间:
2016-12
期刊:
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
影响因子:
--
通讯作者:
George S. Lee;Ted Lee;Zhi Low;S. Low;Christine Ortega
George S. Lee;Ted Lee;Zhi Low;S. Low;Christine Ortega
中科院分区:
其他
文献类型:
--
作者:
George S. Lee;Ted Lee;Zhi Low;S. Low;Christine Ortega

文献摘要

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我们描述了加州理工学院电动汽车自适应充电网络(ACN)的快照。本文概述了系统设计,从配电系统到高级充电器设计,再到控制和通信系统,以及集成整个网络的软件系统。我们提出了充电问题的一个简单的数学公式。我们从加州理工学院ACN收集了三个月的基准充电数据。通过在基线数据上模拟充电算法,我们证明了ACN在节省基础设施成本方面的巨大潜在效益。
We describe a snapshot of an adaptive charging network (ACN) for electric vehicles at Caltech. We overview the system design, from the power distribution system to advanced charger design to control and communication system and the software system that integrates the overall network. We present a simple mathematical formulation of the charging problem. We have collected three months' of baseline charging data from the Caltech ACN. We demonstrate, by simulating a charging algorithm on the baseline data, the large potential benefit of ACN in saving infrastructure costs.