A solar- and wind-powered charging station for electric buses based on a backup batteries concept

2019 ◽  
pp. 317-335
Author(s):  
Jakub Jurasz ◽  
Bartłomiej Ciapała
Keyword(s):  
Charging Station

Design and Application of Smart and Electrical Wheelchair and Charging Station for the Disabled Citizen

2020 ◽  
Vol 3 (1) ◽  
pp. 346-353
Author(s):  
Naim Suleyman Tinğ ◽  
Huseyin Ozel ◽  
Lokman Celik ◽  
Enes Ganidagli ◽  
Hilal Akkamis
Keyword(s):  
Smart Home ◽  
Touch Screen ◽  
Direct Access ◽  
Charging Station ◽  
The Disabled ◽  
Solar Powered ◽  
Home Technology ◽  
Smart Home Technology ◽  
Smart Wheelchair ◽  
Design And Application

In this paper, the design and application of smart wheelchair and charging station for disabled citizen is realized. The first stage of the paper is to make the wheelchair used by our disabled citizens able to access smart home technology via the vehicle via touch screen. The ability of citizens with disabilities to call with direct access via touch screen is also in the wheelchair designed. Thanks to the touch screen placed on the vehicle, disabled citizens are provided with the control of smart automation to control many objects such as curtains and doors in the home. In the second part of the paper, a solar powered charging station is designed and installed in order to charge battery powered wheelchairs. In the charging station made a special card reader system and has the charger to charge the card with disabilities to actively and means are provided.

Bicycle station, charging station, participation Fahrradstation, Ladestation, Partizipation

GIS Business ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. 27-29
Author(s):  
Schweikart, J ◽  
Weißmann, K ◽  
Pieper, J
Keyword(s):  
Charging Station

Bicycle station, charging station, participation Fahrradstation, Ladestation, Partizipation

Performance of different optimal charging schemes in a solar charging station using dynamic programming

2020 ◽  
Vol 41 (5) ◽  
pp. 1568-1583
Author(s):  
Mohammad R. Hajidavalloo ◽  
Farzad A. Shirazi ◽  
Mohammad J. Mahjoob
Keyword(s):  
Dynamic Programming ◽  
Charging Station

scholarly journals Partial Power Processing Based Converter for Electric Vehicle Fast Charging Stations

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 260
Author(s):  
Jon Anzola ◽  
Iosu Aizpuru ◽  
Asier Arruti
Keyword(s):  
Electric Vehicle ◽  
Power Converters ◽  
Power Ratio ◽  
Charging Station ◽  
Fast Charging ◽  
Full Power ◽  
Processing Architectures ◽  
Charging Stations ◽  
Fast Charging Station ◽  
Partial Power Processing

This paper focuses on the design of a charging unit for an electric vehicle fast charging station. With this purpose, in first place, different solutions that exist for fast charging stations are described through a brief introduction. Then, partial power processing architectures are introduced and proposed as attractive strategies to improve the performance of this type of applications. Furthermore, through a series of simulations, it is observed that partial power processing based converters obtain reduced processed power ratio and efficiency results compared to conventional full power converters. So, with the aim of verifying the conclusions obtained through the simulations, two downscaled prototypes are assembled and tested. Finally, it is concluded that, in case galvanic isolation is not required for the charging unit converter, partial power converters are smaller and more efficient alternatives than conventional full power converters.

scholarly journals The Architecture Design of Electrical Vehicle Infrastructure Using Viable System Model Approach

Systems ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Mahdi Boucetta ◽  
Niamat Ullah Ibne Hossain ◽  
Raed Jaradat ◽  
Charles Keating ◽  
Siham Tazzit ◽  
...  
Keyword(s):  
Urban Space ◽  
Electric Vehicles ◽  
Reference Model ◽  
System Model ◽  
Ecosystem Structure ◽  
Viable System Model ◽  
Charging Station ◽  
Viable System ◽  
Station Location ◽  
Ev Charging

Exponential technological-based growth in industrialization and urbanization, and the ease of mobility that modern motorization offers have significantly transformed social structures and living standards. As a result, electric vehicles (EVs) have gained widespread popularity as a mode of sustainable transport. The increasing demand for of electric vehicles (EVs) has reduced the some of the environmental issues and urban space requirements for parking and road usage. The current body of EV literature is replete with different optimization and empirical approaches pertaining to the design and analysis of the EV ecosystem; however, probing the EV ecosystem from a management perspective has not been analyzed. To address this gap, this paper develops a systems-based framework to offer rigorous design and analysis of the EV ecosystem, with a focus on charging station location problems. The study framework includes: (1) examination of the EV charging station location problem through the lens of a systems perspective; (2) a systems view of EV ecosystem structure; and (3) development of a reference model for EV charging stations by adopting the viable system model. The paper concludes with the methodological implications and utility of the reference model to offer managerial insights for practitioners and stakeholders.

scholarly journals Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Lennart Adenaw ◽  
Markus Lienkamp
Keyword(s):  
Urban Areas ◽  
City Planning ◽  
User Behavior ◽  
Transport Sector ◽  
Simulation Framework ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Charging Station ◽  
Spatio Temporal

In order to electrify the transport sector, scores of charging stations are needed to incentivize people to buy electric vehicles. In urban areas with a high charging demand and little space, decision-makers are in need of planning tools that enable them to efficiently allocate financial and organizational resources to the promotion of electromobility. As with many other city planning tasks, simulations foster successful decision-making. This article presents a novel agent-based simulation framework for urban electromobility aimed at the analysis of charging station utilization and user behavior. The approach presented here employs a novel co-evolutionary learning model for adaptive charging behavior. The simulation framework is tested and verified by means of a case study conducted in the city of Munich. The case study shows that the presented approach realistically reproduces charging behavior and spatio-temporal charger utilization.

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