| Autor: |
Safa Hamdare, David J. Brown, Yue Cao, Mohammad Aljaidi, Sushil Kumar, Rakan Alanazi, Manish Jugran, Pratik Vyas, Omprakash Kaiwartya |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
World Electric Vehicle Journal, Vol 15, Iss 9, p 392 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2032-6653 |
| DOI: |
10.3390/wevj15090392 |
| Popis: |
The EV charging network has witnessed significant growth in the UK in the last few years due to the net zero emission target of the government by 2030. The related literature in EV charging management mainly focuses on road-traffic-parameter-based optimization and lacks detail in terms of charging statistics and cyber–security-enabled charging management frameworks. In this context, this paper proposes a novel EV Charging Management and Security (EVCMS) framework using real-time charging statistics and an Open Charge Point Protocol (OCPP). Specifically, a system model for EVCMS is presented considering charging data management and security protocols. An EVCMS framework design is detailed, focusing on charging pricing, optimization, and charging security. The experimental implementation is described in terms of client–server and charge-box-based simulation. The performance of the proposed EVCMS framework is evaluated by considering different charging scenarios and a range of charging-related metrics. An analysis of results and comparative study attest to the benefits of the proposed EVCMS framework for enabling the EV charging ecosystem. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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