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ToolsArooj, Ansif, Ahmed, Qasim Zeeshan, Farooq, Muhammad Shoaib, Umer, Tariq, Aslam, Nauman and Alade, Temitope (2025) Unraveling the smart charging technologies, energy sources, and regulatory standards for EVs. IEEE Access, 13. pp. 108148-108167. ISSN 2169-3536
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Abstract
Electric vehicles (EVs) are anticipated to be pivotal contributors to the global energy transformation in the automobile industry, ignited by their rapid proliferation. However, the widespread integration of EVs requires rigorous research and synthesis in charging solutions and EV supply equipment to meet the expected performance and improve ancillary services. Analysing the current landscape of EV charging technologies, it is essential to accelerate EV adoption by incorporating advanced control strategies that mitigate negative impacts and improve charging efficiency. Thus, this study presents a meticulous review that culminates in a curated anthology of 81 pivotal articles, with a predominant emphasis on charging EVs and associated technologies. The findings reveal extensive potential in this domain with our rigorous scrutiny of studies uniquely integrating all critical EV charging technologies, including their taxonomy, on-board and off-board charging infrastructures, and the global standards, and future research directions. The revelations of the study elucidate the prevailing paradigms within the EV research nexus, charting a course for future scholarly pursuits and practical applications.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding information: This work was supported in part by the Electric Vehicles Point Location Optimization via Vehicular Communications (EVOLVE), Marie Sklodowska-Curie Action (MSCA)-Research and Innovation Staff Exchange (SE), through Research Council (RC) under Grant EP/X039765/1 and Grant 101086218. |
| Uncontrolled Keywords: | charging infrastructure and standards,conductive and inductive charging,regulatory frameworks for evs,engineering(all),materials science(all),computer science(all) ,/dk/atira/pure/subjectarea/asjc/2200 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Cyber Intelligence and Networks Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 18 Jun 2025 11:30 |
| Last Modified: | 14 Jul 2025 12:31 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/99620 |
| DOI: | 10.1109/ACCESS.2025.3579428 |
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