An in-depth analysis of electric vehicle charging station infrastructure, policy implications, and future trends

被引:229
作者
Mastoi, Muhammad Shahid [1 ]
Zhuang, Shenxian [1 ]
Munir, Hafiz Mudassir [2 ]
Haris, Malik [3 ]
Hassan, Mannan [1 ]
Usman, Muhammad [1 ]
Bukhari, Syed Sabir Hussain [2 ]
Ro, Jong-Suk [4 ,5 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 611756, Sichuan, Peoples R China
[2] Sukkur IBA Univ, Dept Elect Engn, Sukkur 65200, Pakistan
[3] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Sichuan, Peoples R China
[4] Chung Ang Univ, Dept Intelligent Energy & Ind, Seoul 06910, South Korea
[5] Chung Ang Univ, Sch Elect & Elect Engn, Seoul 06910, South Korea
基金
新加坡国家研究基金会;
关键词
Smart charging; Electric vehicles; Charging infrastructure; Electric vehicle charging stations; RENEWABLE ENERGY-SOURCES; DISTRIBUTION NETWORKS; DISTRIBUTION-SYSTEMS; OPTIMIZATION MODEL; GRID TECHNOLOGIES; IMPACT; MANAGEMENT; COST; INTEGRATION; CHALLENGES;
D O I
10.1016/j.egyr.2022.09.011
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A significant transformation occurs globally as transportation switches from fossil fuel-powered to zero and ultra-low tailpipe emissions vehicles. The transition to the electric vehicle requires an infrastructure of charging stations (CSs) with information technology, ingenious, distributed energy generation units, and favorable government policies. This paper discusses the key factors when planning electric vehicle charging infrastructure. This paper provides information about planning and technological developments that can be used to improve the design and implementation of charging station infrastructure. A comprehensive review of the current electric vehicle scenario, the impact of EVs on grid integration, and Electric Vehicle optimal allocation provisioning are presented. In particular, this paper analyzes research and developments related to charging station infrastructure, challenges, and efforts to standardize the infrastructure to enhance future research work. In addition, the optimal placement of rapid charging stations is based on economic benefits and grid impacts. It also describes the challenges of adoption. On the other hand, future trends in the field, such as energy procurement from renewable sources and cars' benefits to grid technology, are also presented and discussed.
引用
收藏
页码:11504 / 11529
页数:26
相关论文
共 183 条
[81]  
King C., 2018, The Electricity Journal, V31, P24, DOI [DOI 10.1016/J.TEJ.2018.10.010, 10.1016/j.tej.2018.10.010]
[82]   Single-Phase On-Board Bidirectional PEV Charger for V2G Reactive Power Operation [J].
Kisacikoglu, Mithat C. ;
Kesler, Metin ;
Tolbert, Leon M. .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (02) :767-775
[83]   The Development of Optimal Charging Protocols for Lithium-Ion Batteries to Reduce Lithium Plating [J].
Koleti, Upender Rao ;
Truong Ngoc Minh Bui ;
Truong Quang Dinh ;
Marco, James .
JOURNAL OF ENERGY STORAGE, 2021, 39
[84]   Optimal location planning method of fast charging station for electric vehicles considering operators, drivers, vehicles, traffic flow and power grid [J].
Kong, Weiwei ;
Luo, Yugong ;
Feng, Guixuan ;
Li, Keqiang ;
Peng, Huei .
ENERGY, 2019, 186
[85]   Optimal charging of electric drive vehicles in a market environment [J].
Kristoffersen, Trine Krogh ;
Capion, Karsten ;
Meibom, Peter .
APPLIED ENERGY, 2011, 88 (05) :1940-1948
[86]   Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions [J].
Lam, Albert Y. S. ;
Leung, Yiu-Wing ;
Chu, Xiaowen .
IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (06) :2846-2856
[87]   Development and comparison of the test methods proposed in the Chinese test specifications for fuel cell electric vehicles [J].
Lan, Hao ;
Hao, Dong ;
Hao, Weijian ;
He, Yuntang .
ENERGY REPORTS, 2022, 8 :565-579
[88]   Exploring electric vehicle charging patterns: Mixed usage of charging infrastructure [J].
Lee, Jae Hyun ;
Chakraborty, Debapriya ;
Hardman, Scott J. ;
Tal, Gil .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2020, 79
[89]   Centrality Analysis, Role-based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks [J].
Li, Cheng-Te ;
Lin, Shou-De .
PROCEEDINGS OF 2012 ASE/IEEE INTERNATIONAL CONFERENCE ON PRIVACY, SECURITY, RISK AND TRUST AND 2012 ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM/PASSAT 2012), 2012, :1-10
[90]  
Li J, 2019, Compatibility and Investment in the U.S. Electric Vehicle Market