A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem
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 s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-08-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/15/9/392 |
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| author | Safa Hamdare David J. Brown Yue Cao Mohammad Aljaidi Sushil Kumar Rakan Alanazi Manish Jugran Pratik Vyas Omprakash Kaiwartya |
| author_facet | Safa Hamdare David J. Brown Yue Cao Mohammad Aljaidi Sushil Kumar Rakan Alanazi Manish Jugran Pratik Vyas Omprakash Kaiwartya |
| author_sort | Safa Hamdare |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a5ca0e5f68ba4c718a4ebeb5a91c3e25 |
| institution | OA Journals |
| issn | 2032-6653 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-a5ca0e5f68ba4c718a4ebeb5a91c3e252025-08-20T01:56:13ZengMDPI AGWorld Electric Vehicle Journal2032-66532024-08-0115939210.3390/wevj15090392A Novel Charging Management and Security Framework for the Electric Vehicle (EV) EcosystemSafa Hamdare0David J. Brown1Yue Cao2Mohammad Aljaidi3Sushil Kumar4Rakan Alanazi5Manish Jugran6Pratik Vyas7Omprakash Kaiwartya8Department of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UKDepartment of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UKSchool of Cyber Science and Engineering, Wuhan University, Wuhan 430072, ChinaComputer Science Department, Faculty of Information Technology, Zarqa University, Zarqa 13110, JordanSchool of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, IndiaDepartment of Information Technology, Faculty of Computing and Information Technology, Northern Border University, Rafha 91431, Saudi ArabiaJMVL Limited, Jenkins Avenue, Bricket Wood, St Albans, London AL2 3SB, UKDepartment of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UKDepartment of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UKThe 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.https://www.mdpi.com/2032-6653/15/9/392electric vehiclecharging optimizationcharging securityOCPP |
| spellingShingle | Safa Hamdare David J. Brown Yue Cao Mohammad Aljaidi Sushil Kumar Rakan Alanazi Manish Jugran Pratik Vyas Omprakash Kaiwartya A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem World Electric Vehicle Journal electric vehicle charging optimization charging security OCPP |
| title | A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem |
| title_full | A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem |
| title_fullStr | A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem |
| title_full_unstemmed | A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem |
| title_short | A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem |
| title_sort | novel charging management and security framework for the electric vehicle ev ecosystem |
| topic | electric vehicle charging optimization charging security OCPP |
| url | https://www.mdpi.com/2032-6653/15/9/392 |
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