scholarly journals Integrated control and monitoring of a smart charging station with a proposed data exchange protocol

2021 ◽  
Author(s):  
Mehdi Monadi ◽  
Hossein Farzin ◽  
Mohammad Reza Salehizadeh ◽  
Kumars Rouzbehi
Keyword(s):  
Data Exchange ◽  
Integrated Control ◽  
Charging Station ◽  
Smart Charging

scholarly journals Electric vehicle dispatching in smart charging station: a pricing strategy

2021 ◽  
Vol 675 (1) ◽  
pp. 012163
Author(s):  
Xuliang Zhao ◽  
Jiguang Xue ◽  
Tong Wu ◽  
Hong Xue ◽  
Sitong Dong ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Pricing Strategy ◽  
Vehicle Dispatching ◽  
Charging Station ◽  
Smart Charging

Smart Battery Charging Station for ElectricVehicle Using Half Bridge Power Converter

2018 ◽  
Vol 19 (4) ◽  
Author(s):  
B. R. Ananthapadmanabha ◽  
Rakesh Maurya ◽  
Sabha Raj Arya ◽  
B. Chitti Babu
Keyword(s):  
Power Quality ◽  
Distribution System ◽  
Reactive Power ◽  
Supply Voltage ◽  
Power Converter ◽  
Constant Current ◽  
Battery Charging ◽  
Charging Station ◽  
Simulink Model ◽  
Smart Charging

Abstract This paper presents a concept of smart charging station using bidirectional half bridge converter for an electric vehicle. This battery charging station is useful for charging applications along with harmonics and reactive power compensation in a distribution system. A filter which is adaptive to the supply voltage frequency is used for the estimation of the 50 Hz component of load current. Due to additional features of vehicle charger, associated with the power quality improvement, there will be a drastic reduction in the current drawn from utility to meet the same load demand. The charging station presented in this paper is termed as smart with several function. The proposed smart charger is able to improve power quality of residential loads or other loads, not only during charging/discharging of the vehicle battery, but also in the absence of the vehicle. The Simulink model is developed with MATLAB software and its simulation results are presented. The level of current distortion during charging and and discharging mode is recorded 1.6 % and 2.4 % respectively with unity supply power factor during experiments. The performance of converter is evaluated during charging modes both in constant current (CC) and constant voltage (CV) modes.

scholarly journals EV Smart Charging with Advance Reservation Extension to the OCPP Standard

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3263
Author(s):  
Simone Orcioni ◽  
Massimo Conti
Keyword(s):  
Electric Vehicle ◽  
Power Grid ◽  
Smartphone App ◽  
Advance Reservation ◽  
End User ◽  
Charging Station ◽  
Smart Charging ◽  
Central Station ◽  
Grid Management ◽  
Charge Point

An accurate management of the interactions among end user, electric vehicle, and charging station during recharge is fundamental for the diffusion of electric mobility. The paper proposes an extension of the Open Charge Point Protocol standard with the aim of including the user in the charging optimization process. The user negotiates with the central station a recharge reservation giving his/her preference and flexibility. The charging station management system provides different solutions based on user’s flexibility. This negotiation allows the optimization of the power grid management considering the user requests and constraints. The complete architecture has been designed, implemented on a web server and on a smartphone app, and tested. Results are reported in this work.

Battery Swapping Station

2022 ◽  
pp. 195-207
Author(s):  
Furkan Ahmad ◽  
Essam A. Al-Ammar ◽  
Ibrahim Alsaidan
Keyword(s):  
Distributed Storage ◽  
Spinning Reserve ◽  
Vehicle To Grid ◽  
Charging Station ◽  
Charging Time ◽  
Smart Charging ◽  
Challenges And Opportunities ◽  
Range Anxiety ◽  
Art Research ◽  
Ev Charging

State-of-the-art research to solve the grid congestion due to EVs is focused on smart charging and using (centralized, de-centralized, vehicle-to-grid) stationery energy storage as a buffer between times of peak and off-peak demand. On the other hand, the charging of EVs introduces new challenges and opportunities. This can prove to be beneficial for the EV aggregator as well as to consumers, regarding the economy. Also, EV as distributed storage makes the grid more steady, secure, and resilient by regulating frequency and the spinning reserve as backup power. However, the charging time and range anxiety lead to peak challenges for the use of EVs. In this chapter battery swapping station (BSS) as solution to the EV charging station is discussed.

Modeling and Control of Contactless Based Smart Charging Station in V2G Scenario

2014 ◽  
Vol 5 (1) ◽  
pp. 337-348 ◽  
Author(s):  
Kannan Thirugnanam ◽  
T. P. Ezhil Reena Joy ◽  
Mukesh Singh ◽  
Praveen Kumar
Keyword(s):  
Modeling And Control ◽  
Charging Station ◽  
Smart Charging ◽  
And Control

A Road to Wind Based PHEVs Smart Charging Station

2015 ◽  
Author(s):  
Syed Zulqadar Hassan ◽  
Tariq Kamal ◽  
Sidra Mumtaz ◽  
Laiq Khan
Keyword(s):  
Charging Station ◽  
Smart Charging

scholarly journals Flexibility of Electric Vehicle Demand: Analysis of Measured Charging Data and Simulation for the Future

2019 ◽  
Vol 10 (1) ◽  
pp. 14 ◽  
Author(s):  
Marte K. Gerritsma ◽  
Tarek A. AlSkaif ◽  
Henk A. Fidder ◽  
Wilfried G.J.H.M. van Sark
Keyword(s):  
Electric Vehicle ◽  
Congestion Management ◽  
Charging Station ◽  
Smart Charging ◽  
Vehicle Demand ◽  
High Flexibility ◽  
Charging Stations ◽  
High Scenario ◽  
Evening Peak

This paper proposes a method for analyzing and simulating the time-dependent flexibility of electric vehicle (EV) demand. This flexibility is influenced by charging power, which depends on the charging stations, the EV characteristics, and several environmental factors. Detailed charging station data from a Dutch case study have been analysed and used as input for a simulation. In the simulation, the interdependencies between plug-in time, connection duration, and required energy are respected. The data analysis of measured data reveals that 59% of the aggregated EV demand can be delayed for more than 8 h, and 16% for even more than 24 h. The evening peak shows high flexibility, confirming the feasibility of congestion management using smart charging within flexibility constraints. The results from the simulation show that the average daily EV demand increases by a factor 21 between the ‘Present-day’ and the ‘High’ scenario, while the maximum EV demand peak increases only by a factor 6, as a result of the limited simultaneity of the transactions. Further, simulations using the average charging power of individual measured transactions yield more accurate results than simulations using a fixed value for charging power. The proposed method for simulating future EV flexibility provides a basis for testing different smart charging algorithms.

Smart Charging Station with Various Power Supply Using ATS

2020 ◽  
Author(s):  
R. Premalatha ◽  
S. Victor Manoraj ◽  
R. Prabhakaran ◽  
T. Dhanasingh
Keyword(s):  
Power Supply ◽  
Charging Station ◽  
Smart Charging
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