Joint Capacity Modeling for Electric Vehicles in V2I-enabled Wireless Charging Highways

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)(2020)

引用 0|浏览6
暂无评分
摘要
Wireless Charging Highways (WCHs) have been introduced by industry and academia to enable charging-while-driving for electric vehicles (EVs) and to combat range anxiety. While detailed planning and performance evaluation of such systems are crucial due to high cost and long life expectancy, most existing works assume a perfect communication environment. In this paper, we introduce a joint capacity model that takes into account both power and communication resources for WCH construction planning, and optimal day-to-day operation. The vehicle-to-infrastructure (V2I) communication and grid power capacities, along with the EV's average service rate are formulated following technology requirements, EV speed-density characteristics, and the EV's energy needs and consumption. In addition, a two-dimension Markov chain-based model is designed to capture the WCH power and connectivity dynamics. The proposed model can be used to calculate the system's Quality of Service (QoS) and profit, provide design insights, and assess the impact of speed regulation, or admission control on the WCH lane. Finally, the performance of the proposed model is evaluated using real US highway data with the results demonstrating its ability to accurately capture the service provision dynamics, and to identify trade-offs between system parameters.
更多
查看译文
关键词
dynamic wireless charging,electric vehicles,wireless charging highway,V2X,capacity planning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要