A review on charging behavior of electric vehicles: data, model, and control

• 作者: Qing-Shan JIA Teng LONG
• 来源期刊: 控制理论与技术（英文版）
• 年，卷（期）: 2020,（3）
• 页码范围: 217-230
• 页数: 14页
• 语种: 英文
• DOI: 10.1007/s11768-020-0048-8

摘要

The adoption and usage of electric vehicles (EVs) have emerged recently due to the increasing concerns on the greenhouse gas issues and energy revolution.As a part of the smart grid,EVs can provide valuable ancillary services beyond consumers of electricity.However,EVs are gradually considered as nonnegligible loads due to their increasing penetration,which may result in negative effects such as voltage deviations,lines saturation,and power losses.Relationship and interaction among EVs,charging stations,and micro grid have to be considered in the next generation of smart grid.Therefore,the topic of smart charging has been the focus of many works where a wide range of control methods have been developed.As one of the bases of simulation,the EV charging behavior and characteristics have also become the focus of many studies.In this work,we review the charging behavior of EVs from the aspects of data,model,and control.We provide the links for most of the data sets reviewed in this work,based on which interested researchers can easily access these data for further investigation.