杨树森  (教授)

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所在单位:数学与统计学院

办公地点:西安交通大学兴庆校区数学楼116室

主要任职:大数据算法与分析技术国家工程实验室常务副主任

其他任职:陕西省大数据分析与处理重点实验室主任

毕业院校:英国帝国理工大学

   

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智慧城市方面的工作被中科院中科院一区期刊 IEEE CM录用

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发布时间:2017-02-02

发布时间:2017-02-02

文章标题:智慧城市方面的工作被中科院中科院一区期刊 IEEE CM录用

内容:

Cao, Yue; Yang, Shusen(通信作者); Min, Geyong; Zhang, Xing; Song, Houbing; Kaiwartya, Omprakash ; Aslam, Nauman,A Cost-Efficient Communication Framework For Battery Switch Based Electric Vehicle Charging,IEEE Communications Magazine,to appear.  

 

Abstract:

Charging management for Electric Vehicles (EVs) on-the-move has become an increasingly important research problem in smart cities. Major technical challenges include the selection of Charging Stations (CSs) to guide charging plans, and the design of cost-efficient communication infrastructure between he power grid and EVs. In this article, we first present a brief review on state-of-the-art EV charging management schemes. Next, by incorporating battery switch technology to enable fast charging service, a Publish/Subscribe (P/S) communication framework is provisioned to support the EV charging service. Upon that, we develop a fully distributed charging management scheme with the consideration of urban travel uncertainties, e.g., traffic congestions and drivers’ preferences. This would benefit from low privacy sensitivity, as EVs’ status information will not be released through management. Results demonstrate a guidance for the provisioning of P/S communication framework to improve EV drivers’ experience, e.g., charging waiting time and total trip duration. Also, the benefit of P/S communication framework is reflected in terms of the communication efficiency. Open research issues of this emerging area are also presented.

 

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