scholarly journals Fast Charging Systems for Passenger Electric Vehicles

2020 ◽  
Vol 11 (4) ◽  
pp. 73
Author(s):  
Rick Wolbertus ◽  
Robert van den Hoed

This paper explores current and potential future use of fast charging stations for electric passenger vehicles. The aim of the paper is to analyse current charging patterns at fast charging stations and the role of fast charging among different charging options. These patterns are explored along the lines of the technical capabilities of the vehicles and it is found that with increasing battery capacity the need for fast charging decreases. However, for those vehicles with large charging capacities there are indications that fast charging is perceived as more convenient as these are used more often. Such results indicate a larger share for fast charging if charging capacities increase in the future. Results from a spatial analysis show that most fast charging is done at a considerable distance from home, suggesting mostly ‘on the road’ charging sessions. Some fast charging sessions are relatively close to home, especially for those without private home charging access. This shows some future potential for fast charging in cities with many on-street parking facilities.

2018 ◽  
Vol 9 (1) ◽  
pp. 9
Author(s):  
Gabriel Domingues-Olavarría ◽  
Francisco Márquez-Fernández ◽  
Pontus Fyhr ◽  
Avo Reinap ◽  
Mats Alaküla

Electric Road Systems (ERS) have emerged as an alternative to deal with the main drawbacks that battery electric vehicles present (i.e., higher cost, short driving range, long charging times, etc.). This paper analyses the societal cost of electrifying all road transport in Denmark under four different scenarios. The first scenario considered in this study is based on today’s approach of having electric vehicles with high battery capacity and fast charging stations, the remaining scenarios study the cost of implementing different ERS at a national level. The results clearly show the benefits of implementing road bound electric road solutions that can be used both by commercial and passenger vehicles.


Electric vehicles are increasing day by day because of its low battery cost and good battery capacity compared to other technology. Increasing automotive growth in electric vehicles also increases the automation to use it.Graphical User Interface for electric vehicles with a full-blown touch screen will become more easy to use with the introduction of fast charging stations. The approach shown to build HMI use Texas Instruments kit and CCS software. The TM4C123GH6PM processors provide scalability it also provides different processing speeds along with the software which is compatible with hardware to build low and high end applications, and provides connectivity with various peripherals required for Electric Vehicle System Equipment HMI e.g. UART and CAN. Along with this processor touch screen display K350QVGA (Texas Instruments) is used to test the output screen


2020 ◽  
Vol 9 (1) ◽  
pp. 273-283
Author(s):  
Ibrahim El-fedany ◽  
Driss Kiouach ◽  
Rachid Alaoui

The main limitations of electric vehicles are the limited scope of the battery and their relatively long charging times. This may cause discomfort to drivers of electric vehicles due to a long waiting period at the service of the charging station, during their trips. In this paper, we suggest a model system based on argorithms, allowing the management of charging plans of electric vehicles to travel on the road to their destination in order to minimize the duration of the drivers' journey. The proposed system decision to select the charging station, during advance reservation of electric vehicles, take into account the time of arrival of electric vehicles at charging stations, the expected charging time at charging stations, the local status of the charging stations in real time, and the amount of energy sufficient for the electric vehicle to arrive at the selected charging station. Furthermore, the system periodically updates the electric vehicule reservations to adjust their recharge plans, when they reach their selected earlier station compared to other vehicules requesting new reservations, or they may not arrive as they were forecast, due to traffic jams on the road or certain reluctance on the part of the driver.


2009 ◽  
Vol 43 (9) ◽  
pp. 18-19
Author(s):  
MICHAEL S. JELLINEK
Keyword(s):  
The Road ◽  

Author(s):  
Dan Jerker B. Svantesson

This chapter explores the role geo-location technologies may play on the road towards achieving jurisdictional interoperability. The relevant technologies involved are introduced briefly, their accuracy examined, and an overview is provided of their use, including the increasingly common use of so-called geo-blocking. Attention is then given to perceived and real concerns stemming from the use of geo-location technologies and how these technologies impact international law, territoriality, and sovereignty, as well as to the role these technologies may play in law reform. The point is made that the current ‘effect-focused’ rules in both private international law and public international law (as those disciplines are traditionally defined), are likely to continue to work as an incentive for the use of geo-location technologies.


Author(s):  
Mohamad Nassereddine

AbstractRenewable energy sources are widely installed across countries. In recent years, the capacity of the installed renewable network supports large percentage of the required electrical loads. The relying on renewable energy sources to support the required electrical loads could have a catastrophic impact on the network stability under sudden change in weather conditions. Also, the recent deployment of fast charging stations for electric vehicles adds additional load burden on the electrical work. The fast charging stations require large amount of power for short period. This major increase in power load with the presence of renewable energy generation, increases the risk of power failure/outage due to overload scenarios. To mitigate the issue, the paper introduces the machine learning roles to ensure network stability and reliability always maintained. The paper contains valuable information on the data collection devises within the power network, how these data can be used to ensure system stability. The paper introduces the architect for the machine learning algorithm to monitor and manage the installed renewable energy sources and fast charging stations for optimum power grid network stability. Case study is included.


2020 ◽  
pp. 002252662097950
Author(s):  
Fredrik Bertilsson

This article contributes to the research on the expansion of the Swedish post-war road network by illuminating the role of tourism in addition to political and industrial agendas. Specifically, it examines the “conceptual construction” of the Blue Highway, which currently stretches from the Atlantic Coast of Norway, traverses through Sweden and Finland, and enters into Russia. The focus is on Swedish governmental reports and national press between the 1950s and the 1970s. The article identifies three overlapping meanings attached to the Blue Highway: a political agenda of improving the relationships between the Nordic countries, industrial interests, and tourism. Political ambitions of Nordic community building were clearly pronounced at the onset of the project. Industrial actors depended on the road for the building of power plants and dams. The road became gradually more connected with the view of tourism as the motor of regional development.


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