The Problem of Electric Vehicle Charging: State-of-the-Art and an Innovative Solution

Nezamuddin, Omar; Nicholas, Clayton; Santos, Euzeli Cipriano dos

doi:10.1109/tits.2020.3048728

Cited by 66 publications

(29 citation statements)

References 119 publications

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“…The energy needed for EVs can also be supplied through energy exchange among EVs [31]. These vehicles in such a V2G recharging mechanism will be known as "user vehicle" and "charger vehicle", respectively [80]. This service is proper for EV owners who value time more than extra payment for charging the battery.…”

Section: Electric Vehicle Types and Charging Methodsmentioning

confidence: 99%

A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges

Sadeghian

Oshnoei

Mohammadi‐Ivatloo

et al. 2022

Journal of Energy Storage

162

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Section: Electric Vehicle Types and Charging Methodsmentioning

confidence: 99%

A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges

Sadeghian

Oshnoei

Mohammadi‐Ivatloo

et al. 2022

Journal of Energy Storage

162

View full text Add to dashboard Cite

“…Since EVs are shifting towards autonomous driving, thus, another aspect similar to crash avoidance in EVs is efficient route/trajectory planning. Route planning is not simple as it takes into account a huge amount of data parameters, such as traffic information, obstacles on the road, weather conditions, road conditions, driving comfort, etc [70]. All this information is fed to route planning models, which optimize and give the best route from point A to point B.…”

Section: E Privacy Preserving Trajectory Planning/route Optimizationmentioning

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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“…The mesh aluminium plate can effectively weaken the performance changes brought by the introduction of the shielding body to the transmission system, and can effectively carry out EM shielding of EV wireless charging systems. (2) The results show that the denser the mesh, the greater the influence on the system and the better the shielding effect. Unequal and non-uniform structures and arrangements can be used to achieve the best balance between the shielding effect and transmission performance.…”

Section: Introductionmentioning

confidence: 95%

“…Wireless Power Transfer (WPT) technology is an ideal charging method for Electric Vehicles (EVs) in the future [1]. With the rapid development of informatization, intelligence and network connection of EVs, the demand for wireless charging is particularly urgent [2]. EVs wireless charging realizes contactless transmission of power energy through strong coupling resonance of transmitter and receiver.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Analysis for Electromagnetic Shielding Method Based on Mesh Aluminium Plate for Electric Vehicle Wireless Charging Systems

Wang¹,

Zuo

Sang³

et al. 2022

Energies

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As an epoch-making technique, wireless power transfer (WPT) technology has been used in electric vehicle charging devices in recent years, but the electromagnetic leakage problem has always plagued numerous researchers. The traditional wireless charging systems use a solid metal aluminium plate to shield electromagnetic leakage generally. Although it has a good shielding performance, it will seriously reduce the transmission efficiency of wireless charging systems. In this paper, an aluminium plate with a series of mesh holes of different sizes is proposed to weaken the eddy current in partial areas on the plane. Therefore, without changing the maximum magnetic induction intensity of the shielded magnetic field, the influence of the aluminium plate on the electrical parameters of the wireless power transfer system is minimized, and the transmission efficiency of the system is improved. The Ansys Maxwell software has been adopted to simulate the transfer and shielding performance. Finally, the experimental results have verified that the optimized mesh aluminium plate can reduce the interference to the transmission performance of electric vehicle wireless charging system and further improve the electromagnetic environment of the system effectively at the same time.

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The Problem of Electric Vehicle Charging: State-of-the-Art and an Innovative Solution

Cited by 66 publications

References 119 publications

A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges

A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges

Privacy Preserving Machine Learning for Electric Vehicles: A Survey

Comprehensive Analysis for Electromagnetic Shielding Method Based on Mesh Aluminium Plate for Electric Vehicle Wireless Charging Systems

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