Vehicle-to-X (V2X) implementation: An overview of predominate trial configurations and technical, social and regulatory challenges

Gschwendtner, Christine; Sinsel, Simon Robert; Stephan, Annegret

doi:10.1016/j.rser.2021.110977

Cited by 64 publications

(27 citation statements)

References 94 publications

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“…Interconnectivity requirements with all technology systems in the real world have led to the emergence of vehicle-to-everything (V2X) technology [53], using integrated vehicle sensor platforms that use the centralization of various functions through an integrated EV server, connected by a series of connectivity devices such as CAN, LIN, Wi-Fi, and Bluetooth technology [54]. The results of V2X performances are based on a series of information on the collection and dissemination of multi-networks and technological capabilities between electric vehicles.…”

Section: Blockchain For Electric Vehiclesmentioning

confidence: 99%

Blockchain-Enabled Smart Grid Applications: Architecture, Challenges, and Solutions

et al. 2022

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The conventional electrical grid is undergoing substantial growth for reliable grid operation and for more efficient and sustainable energy use. The traditional grid is now metamorphosing into a smart grid (SG) that incorporates a diverse, heterogeneous blend of operating measures such as smart appliances, meters, and renewable energy resources. With better efficient results and dependability, the SG can be described as a modern electric power grid architecture. The SG is one of the greatest potential advances as a promising solution for the energy crisis. However, it is complex and its decentralization could be of tremendous benefit. Moreover, digitalization and integration of a large number of growing connections make it a target of cyber-attacks. In this sense, blockchain is a promising SG paradigm solution that offers several excellent features. There has been considerable effort put into using blockchains in the smart grid for its decentralization and enhanced cybersecurity; however, it has not been thoroughly studied in both application and architectural perspectives. An in-depth study was conducted on blockchain-enabled SG applications. Blockchain architectures for various applications, such as the synchrophasor applications, electric vehicles, energy management systems, etc., were proposed. The purpose of this article is to provide directions for future research efforts aimed at secure and decentralized SG applications using blockchain.

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Section: Blockchain For Electric Vehiclesmentioning

confidence: 99%

Blockchain-Enabled Smart Grid Applications: Architecture, Challenges, and Solutions

et al. 2022

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“…Due to the tremendous benefits of EVs, a large number of industries are moving towards development of modern EVs [56]. As a result, attackers and adversaries have also become active and are trying to get unfair advantage of every possible loophole in the network.…”

Section: B Privacy Attacks Surfaces In Electric Vehiclesmentioning

confidence: 99%

Privacy Preserving Machine Learning for Electric Vehicles: A Survey

Sani¹,

Hassan²,

Chen³

2022

Preprint

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In the recent years, the interest of individual users in modern electric vehicles (EVs) has grown exponentially. An EV has two major components, which make it different from traditional vehicles, first is its environment friendly nature because of being electric, and second is the interconnection ability of these vehicles because of modern information and communication technologies (ICTs). Both of these features are playing a key role in the development of EVs, and both academia and industry personals are working towards development of modern protocols for EV networks. All these interactions, whether from energy perspective or from communication perspective, both are generating a tremendous amount of data every day. In order to get most out of this data collected from EVs, research works have highlighted the use of machine/deep learning techniques for various EV applications. This interaction is quite fruitful, but it also comes with a critical concern of privacy leakage during collection, storage, and training of vehicular data. Therefore, alongside developing machine/deep learning techniques for EVs, it is also critical to ensure that they are resilient to private information leakage and attacks. In this paper, we begin with the discussion about essential background on EVs and privacy preservation techniques, followed by a brief overview of privacy preservation in EVs using machine learning techniques. Particularly, we also focus on an in-depth review of the integration of privacy techniques in EVs and highlighted different application scenarios in EVs. Alongside this, we provide a a very detailed survey of current works on privacy preserving machine/deep learning techniques used for modern EVs. Finally, we present the certain research issues, critical challenges, and future directions of research for researchers working in privacy preservation in EVs.

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“…One of the main advantages of this technique is the drivers do not need to get out of the vehicle and can replace the discharged battery very quickly. Moreover, the battery kept at the station can participate in the V2G (vehicle-to-grid) initiative [30,31].…”

Section: Battery Swap Station (Bss)mentioning

confidence: 99%

Review of Electric Vehicle Technologies, Charging Methods, Standards and Optimization Techniques

et al. 2021

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This paper presents a state-of-the-art review of electric vehicle technology, charging methods, standards, and optimization techniques. The essential characteristics of Hybrid Electric Vehicle (HEV) and Electric Vehicle (EV) are first discussed. Recent research on EV charging methods such as Battery Swap Station (BSS), Wireless Power Transfer (WPT), and Conductive Charging (CC) are then presented. This is followed by a discussion of EV standards such as charging levels and their configurations. Next, some of the most used optimization techniques for the sizing and placement of EV charging stations are analyzed. Finally, based on the insights gained, several recommendations are put forward for future research.

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Vehicle-to-X (V2X) implementation: An overview of predominate trial configurations and technical, social and regulatory challenges

Cited by 64 publications

References 94 publications

Blockchain-Enabled Smart Grid Applications: Architecture, Challenges, and Solutions

Blockchain-Enabled Smart Grid Applications: Architecture, Challenges, and Solutions

Privacy Preserving Machine Learning for Electric Vehicles: A Survey

Review of Electric Vehicle Technologies, Charging Methods, Standards and Optimization Techniques

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