电力系统自动化2017，Vol.41Issue(11)：106-113,8.
利用实时交通信息感知的电动汽车路径选择和充电导航策略
Route Selection and Charging Navigation Strategy for Electric Vehicles Employing Real-time Traffic Information Perception
摘要
Abstract
A route selection and charging navigation optimization model for electric vehicles (EVs) is presented for reducing traveling costs of EV users and improving the security of the distribution system concerned.With the aid of crowd sensing, a traffic information matrix acquisition method based on the matrix factorization technique is first addressed.The formulated objective of the presented model is to minimize the sum of driving and waiting costs, fast and regular EV charging costs based on the time of use (TOU) price mechanism, subject to a variety of technical constraints such as path selections, time, battery capacities, and charging or discharging state mutual exclusion constraints.A sample system is built by connecting four EV charging stations to the IEEE 33-bus distribution system, and the four EV charging stations are within a city center within a 25 km×25 km zone, and served for demonstrating the essential feature of the presented method.With respect to the situations with and without real-time traffic information, the impacts of the EV quantities participating in crowd sensing on the travel route and charging/discharging of EVs, as well as on the distribution system are also analyzed.关键词
电动汽车/路径选择/充电导航/群智感知/实时交通信息Key words
electric vehicle/route selection/charging navigation/crowd sensing/real-time traffic information引用本文复制引用
杨洪明,李明,文福拴,邓友均,邱靖,赵俊华..利用实时交通信息感知的电动汽车路径选择和充电导航策略[J].电力系统自动化,2017,41(11):106-113,8.基金项目
国家自然科学基金资助项目(71331001) （71331001）
中国南方电网有限责任公司科技项目(WYKJ00000027) （WYKJ00000027）
湖南省重点研发科技项目(2016WK2015).This work is jointly supported by National Natural Science Foundation of China (No.71331001), China Southern Power Grid Company Limited (No.WYKJ00000027) and Science and Technology Projects of Hunan Province (No.2016WK2015). （2016WK2015）
