Time series behavior modeling with digital twin for Internet of Vehicles

被引：0
|
作者：
Tianle Zhang
Xiangtao Liu
Zongwei Luo
Fuqiang Dong
Yu Jiang
机构：
[1] Guangzhou University,Cyberspace Institute of Advanced Technology
[2] Southern University of Science and Technology,Cyberspace Security Research Center
[3] Peng Cheng Laboratory,undefined
来源：
EURASIP Journal on Wireless Communications and Networking | / 2019卷
关键词：
Electric vehicle; Internet of Vehicles; Mobility; Time series; Digital twin; Charging scheduling;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Electric vehicle (EV) is considered eco-friendly with low carbon emission and maintenance costs. Given the current battery and charging technology, driving experience of EVs relies heavily on the availability and reachability of EV charging infrastructure. As the number of charging piles increases, carefully designed arrangement of resources and efficient utilization of the infrastructure is essential to the future development of EV industry. The mobility and distribution of EVs determine the charging demand and the load of power distribution grid. Then, dynamic traffic pattern of numerous interconnected EVs poses great impact on charging plans and charging infrastructure.
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