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Title	A Review On Intelligent Energy Management Systems For Future Electric Vehicle Transportation
ID_Doc	4263
Authors	Teimoori Z.; Yassine A.
Year	2022
Published	Sustainability (Switzerland), 14, 21
DOI	http://dx.doi.org/10.3390/su142114100
Abstract	Over the last few years, Electric Vehicles (EVs) have been gaining interest as a result of their ability to reduce vehicle emissions. Developing an intelligent system to manage EVs charging demands is one of the fundamental aspects of this technology to better adapt for all-purpose transportation utilization. It is necessary for EVs to be connected to the Smart Grid (SG) to communicate with charging stations and other energy resources in order to control charging schedules, while Artificial Intelligent (AI) techniques can be beneficial for improving the system, they can also raise security and privacy threats. In recent years, privacy preservation methodologies have been introduced to ensure data security. Federated Learning (FL) and blockchain technology are two emerging strategies to address information protection concerns. Therefore, in this article, a comprehensive literature review is proposed to analyze existing EVs energy management challenges and solutions and present potential future research directions for EVs charging/discharging coordination applications. © 2022 by the authors.
Author Keywords	blockchain; charging management systems; electric vehicles; federated learning; smart cities

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