Design and Implementation of Grid Connected Solar/Wind/Diesel Generator Powered Charging Station for Electric Vehicles with Vehicle to Grid Technology Using IoT

2018 ◽  
Vol 13 (1) ◽  
pp. 59-67 ◽  
Author(s):  
S. Divyapriya ◽  
A. Amudha ◽  
R. Vijayakumar
2019 ◽  
pp. 39-47
Author(s):  
Zoltán Jakó ◽  
Ádám Knapp ◽  
Nadim El Sayed

Vehicle to grid (V2G) communication for electric vehicles and their charging points is already well established by the ISO 15118 standard. The standard allows vehicles to communicate with the charging station using the power cable, i.e. a wired link, but it is improved to enable wireless (WLAN) links as well. This paper aims to provide an implementation accomplishes a wireless authentication solution (WAS). With that the electric vehicles can establish V2G connection when approaching the charging pool, then identify and authenticate the driver and/or the vehicle. Furthermore, the paper presents a TTCN-3 based validation and verification (V&V) framework in order to test the conformance of the prototype implementation against the standard.


2016 ◽  
Vol 7 (2) ◽  
pp. 596-607 ◽  
Author(s):  
Carlos Sabillon Antunez ◽  
John F. Franco ◽  
Marcos J. Rider ◽  
Ruben Romero

2020 ◽  
Vol 10 (18) ◽  
pp. 6500
Author(s):  
Dian Wang ◽  
Manuela Sechilariu ◽  
Fabrice Locment

The increase in the number of electric vehicles (EVs) has led to an increase in power demand from the public grid; hence, a photovoltaic based charging station for an electric vehicle (EV) can participate to solve some peak power problems. On the other hand, vehicle-to-grid technology is designed and applied to provide ancillary services to the grid during the peak periods, considering the duality of EV battery “load-source”. In this paper, a dynamic searching peak and valley algorithm, based on energy management, is proposed for an EV charging station to mitigate the impact on the public grid, while reducing the energy cost of the public grid. The proposed searching peak and valley algorithm can determine the optimal charging/discharging start time of EV in consideration of the initial state of charge, charging modes, arrival time, departure time, and the peak periods. Simulation results demonstrate the proposed searching peak and valley algorithm’s effectiveness, which can guarantee the balance of the public grid, whilst meanwhile satisfying the charging demand of EV users, and most importantly, reduce the public grid energy cost.


2011 ◽  
Vol 403-408 ◽  
pp. 3364-3370
Author(s):  
Wei Shi ◽  
Jiu Chun Jiang ◽  
Si Qi Lin ◽  
Rong Da Jia ◽  
Jia Peng Wen

An outline of electric vehicles industry in the national smart grid plan and a conceptual framework for the vehicle-to-grid implementation in China is presented, and the relationship between battery energy package and smart grid is also discussed in this paper. The analysis and research based on the energy package management and charging station requirements are stated. This paper also does research on reasonable charge and discharge of the Li-ion battery with the performance degradation, which are the key issues of the development of electric vehicles. At last the paper will discuss briefly on the fast charge method, which saves time of charge battery and favors life span of battery system. When plenty of electric vehicles connecting to the grid, advanced energy scheduling and optimization control strategy of Li-ion battery demand consideration of time factor and the gird needs.


2020 ◽  
Vol 31 (8) ◽  
pp. 1350-1366 ◽  
Author(s):  
Keumju Lim ◽  
Justine Jihyun Kim ◽  
Jongsu Lee

With the world seeking ways to cope with climate change, the interest in and demand for electric vehicles are increasing as part of the efforts to resolve the issue of fine dust, especially in South Korea. The Korean government has consistently announced plans to promote electric vehicles as a means of transportation by providing benefits such as subsidies for electric vehicle purchase and expansion of charging infrastructure. Meanwhile, as electric vehicles continue to grow in number, the energy industry has become attentive to its role as a resource for power generation through vehicle to grid technology. This study analyzes electric vehicle consumer preferences using the discrete choice experiment (DCE) and found that there exists a clear nested structure in Korean consumers’ choice of vehicle. The study also estimates the amount of vehicle to grid electricity supply in the power market and calculates not only national but also individual economic benefit of electric vehicle owners participating in vehicle to grid services based on the estimated amount of electricity supplied. The results of scenario analysis indicate that the estimated electric vehicle supply in Korea will be about 560,000 units cumulatively and that the vehicle to grid electric vehicle power supply scale will reach 1.81 GW by 2030. The estimation shows that the economic benefit of vehicle to grid at the national power market level is 50.9 billion KRW per year, while the economic benefit at an individual level (per vehicle) is 104,151 KRW.


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