EV Charging Management and Security for Multi-Charging Stations Environment

被引:0
|
作者
Hamdare, Safa [1 ]
Brown, David J. [1 ]
Cao, Yue [2 ]
Aljaidi, Mohammad [3 ]
Kaiwartya, Omprakash [1 ]
Yadav, Rahul [4 ]
Vyas, Pratik [1 ]
Jugran, Manish [5 ]
机构
[1] Nottingham Trent Univ, Dept Comp Sci, Nottingham NG11 8NS, England
[2] Wuhan Univ, Sch Cyber Sci & Engn, Wuhan 430072, Peoples R China
[3] Zarqa Univ, Fac Informat Technol, Dept Comp Sci, Zarqa 13110, Jordan
[4] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150009, Peoples R China
[5] JMVL Ltd, London AL2 3SB, England
关键词
Electric vehicle charging; Optimization; Load management; Security; Schedules; Scalability; Hybrid power systems; Electric vehicle; hybrid EV charging; charging security; charging optimization; ELECTRIC VEHICLES; IMPACT;
D O I
10.1109/OJVT.2024.3418201
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The widespread adoption of Electric Vehicles (EV) has emphasized the urgent need for efficient and secure charging infrastructure. While existing research in EV charging infrastructure has primarily concentrated on minimizing charging time at charging stations (CSs), neglecting security-centric charging optimization, particularly with scaled charging infrastructure considering multiple CSs. To address this gap, this paper presents an enhanced Hybrid-Electric Vehicle Charging Management and Security (H-EVCMS) framework. The H-EVCMS framework is meticulously designed to optimize charging price, manage load balancing, and provide security across multiple CS by leveraging the Open Charge Point Protocol (OCPP). The proposed framework's performance is evaluated by examining various charging scenarios and analyzing the booking and power consumption patterns of each CS. The results demonstrate the advantages of the hybrid approach used by the proposed H-EVCMS over traditional charging infrastructure management, showcasing its potential to address the challenges of scaling EV charging infrastructure while ensuring security and efficiency.
引用
收藏
页码:807 / 824
页数:18
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