A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation

Zeinab Teimoori () and Abdulsalam Yassine
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Zeinab Teimoori: Department of Electrical and Computer Engineering, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
Abdulsalam Yassine: Department of Software Engineering, Lakehead University, Thunder Bay, ON P7B 5E1, Canada

Sustainability, 2022, vol. 14, issue 21, 1-23

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.

Keywords: electric vehicles; charging management systems; smart cities; federated learning; blockchain (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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