Energy and Information Management of Electric Vehicular Network: A Survey

TL;DR

This survey reviews the deployment and management strategies of electric vehicular networks, focusing on energy flow, data communication, and computation to address challenges like overload and congestion.

Contribution

It provides a comprehensive overview of EVN management, including deployment, scheduling, communication, and computing, highlighting open research issues.

Findings

Reviewed EV aggregator deployment strategies.

Analyzed EV scheduling including charging and V2G.

Discussed open challenges in EVN management.

Abstract

The connected vehicle paradigm empowers vehicles with the capability to communicate with neighboring vehicles and infrastructure, shifting the role of vehicles from a transportation tool to an intelligent service platform. Meanwhile, the transportation electrification pushes forward the electric vehicle (EV) commercialization to reduce the greenhouse gas emission by petroleum combustion. The unstoppable trends of connected vehicle and EVs transform the traditional vehicular system to an electric vehicular network (EVN), a clean, mobile, and safe system. However, due to the mobility and heterogeneity of the EVN, improper management of the network could result in charging overload and data congestion. Thus, energy and information management of the EVN should be carefully studied. In this paper, we provide a comprehensive survey on the deployment and management of EVN considering all three aspects of energy flow, data communication, and computation. We first introduce the management framework of EVN. Then, research works on the EV aggregator (AG) deployment are reviewed to provide energy and information infrastructure for the EVN. Based on the deployed AGs, we present the research work review on EV scheduling that includes both charging and vehicle-to-grid (V2G) scheduling. Moreover, related works on information communication and computing are surveyed under each scenario. Finally, we discuss open research issues in the EVN.