Review of static and dynamic wireless electric vehicle charging system

Panchal, Chirag; Stegen, Sascha; Lu, Junwei

doi:10.1016/j.jestch.2018.06.015

Cited by 252 publications

(206 citation statements)

References 43 publications

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“…Based on recent research results, different solutions could be used to increase vehicle autonomy. As given in Refs 4 to 7, various ideas were attempted to reduce the system power loss. Other authors focus on two essential parts inside the car, the motor control and the battery system.…”

Section: Introductionmentioning

confidence: 99%

“…Different research and results are compared in order to highlight the benefits and disadvantages of each method. According to those research, the major problem is related to the recharge phase time when the EV is stopped . Practically, the efficiency of the recharge system is guaranteed only in home use applications, such as garages, which are equipped with wireless recharge systems.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of battery‐EV state of charge for a dynamic wireless charging system

et al. 2019

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Wireless power transfer provides a new technology to charge electric vehicles (EVs) without physical contact. This system has to partially resolve the autonomy problem for EVs and buses. The majority of researchers were exposed to two categories of this technique: stationary wireless charging (SWC) and dynamic wireless charging (DWC) systems. Actually, the wireless recharge method is a recent solution that eliminates the problem of waiting time in recharge stations. However, the problem is always related to the vehicle status: if it is in motion and if it is in high-speed running mode. In this context, this paper defines and examines the mathematical model of the DWC system and explains its function in relation to several parameters related to the vehicle situation. This study explores the mathematical model and identifies the best conditions for using the recharge method when the vehicle is in motion. The analysis study was elaborated using MATLAB/Simulink software, and the obtained results showed the variation of the state of charge, depending on the vehicle speed. K E Y W O R D S battery, coil design, dynamic wireless power transfer, HEV, MATLAB/Simulink, pure electric vehicle, wireless charging

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of battery‐EV state of charge for a dynamic wireless charging system

et al. 2019

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“…It uses an electromagnetic field instead of a cable to transfer energy between the source and the receiver. Wireless-inductive charging is divided into two categories: static charging where the vehicle is stationary over the charger to start charging its battery, and dynamic charging where the vehicle is charging while driving on the road [28,29].…”

Section: Wireless Charging Systemsmentioning

confidence: 99%

Electrical Vehicles: Current State of the Art, Future Challenges, and Perspectives

et al. 2019

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The goal of the study presented in this article is to provide a general overview of the various aspects related to electric vehicles (EVs), along with all associated emerging challenges and perspectives. In this context, the basic types of EVs and the corresponding charging technologies are analyzed. Since EVs are expected to be a key component of future smart electrical grids (SEG), connection to the grid issues, along with advanced charging techniques (i.e., wireless power transfer), are analyzed as well. To this end, the main features, the requirements of vehicle to grid (V2G) communications, as well as future developments and scenarios of electrification, are also presented and analyzed. Moreover, integration issues with currently deployed fifth generation (5G) mobile wireless networks are also outlined, in order to ensure optimum transmission and reception quality in V2G communications and improved user experience. This integration is also expanded in autonomous vehicles (AVs) technology (self-driving objects), since optimized information processing from various diverse sources is required in order to ensure advanced traffic management aspects.In this context, two major categories can be classified: a. Battery electric vehicles (BEV), and b. Hybrid electric vehicles (HEV). BEVs use batteries as a source of energy and they are also called "green vehicles, or clean vehicles, or eco-friendly vehicles" because they have zero emissions. In order to cover a travel distance, they are equipped with larger storage batteries than HEVs. However, the limited traveling distance of BEVs is an important drawback because it is often necessary to recharge the battery by connecting to an external power source (in city cars, autonomy starts from 100 to 120 km and reaches 500 km or more in high power cars-Tesla Model). A HEV is classified as a car that uses two or more different technologies to achieve its movement. These technologies usually include the classic internal combustion engine and a more "mild" environmentally-friendly technology, usually an electric motor. However, the electric motor is used as a supplementary power source in cases where the HEV requires more power.It is apparent from the above that proper energy management is of vital importance for the smooth operation of EVs. A challenging research field includes the design and implementation of efficient charging schemes that ensure fast and reliable EV charging in order to increase vehicle autonomy. In this concept, the vehicle-to-grid (V2G) approach aims to optimize the way we transport, use, and produce electricity by turning electric cars into "virtual power plants" [9]. V2G technology refers to a bi-directional flow system operation, in which plug-in battery electric vehicles communicate with a recipient and allow the reciprocal flow between the EV and an electric grid [10,11]. Under this relatively new concept, electric cars would store and dispatch electrical energy stored in networked vehicle batteries which together act as one collective battery fleet ...

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“…Enter the AET -the goal is to reduce operations cost by utilising autonomous control and efficient electric drivetrains, while minimising capital cost by employing a dynamic wireless power transfer system (WPTS) which reduces the need for large battery storage on the haulers, saving cost and weight [7]. Aligning the hauler with the charging system accurately provides the maximum efficiency, and since mine sites are harsh, often GPS denied environments, an "on-wire navigation" system is proposed to guide the haulers along the WPTS -this is the design project.…”

Section: Executive Summarymentioning

confidence: 99%

“…Keeping the AEH aligned above the WPTS is crucial, and is considered by [7] as one of the main hurdles faced by wireless charging systems.…”

Section: Purposementioning

confidence: 99%