EV Charging Management and Security for Multi-Charging Stations Environment

• Published in: IEEE open journal of vehicular technology Vol. 5; pp. 807 - 824
• Main Authors: Hamdare, Safa, Brown, David J., Cao, Yue, Aljaidi, Mohammad, Kaiwartya, Omprakash, Yadav, Rahul, Vyas, Pratik, Jugran, Manish
• Format: Journal Article
• Language: English
• Published: IEEE 2024
• Subjects: charging optimization; charging security; Electric vehicle; Electric vehicle charging; hybrid EV charging; Hybrid power systems; Load management; Optimization; Scalability; Schedules; Security
• ISSN: 2644-1330; 2644-1330
• DOI: 10.1109/OJVT.2024.3418201

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.