scholarly journals Electric Roads: Analyzing the Societal Cost of Electrifying All Danish Road Transport

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.

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.


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


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.


2021 ◽  
Author(s):  
F. Chen ◽  
Q. Zhong ◽  
H. Zhang ◽  
M. Zhu ◽  
S. Müller ◽  
...  

2020 ◽  
Vol 12 (14) ◽  
pp. 5571
Author(s):  
Anastasia Gorbunova ◽  
Ilya Anisimov ◽  
Elena Magaril

The energy industry is a leader of introduction and development of energy supply technologies from renewable energy sources. However, there are some disadvantages of these energy systems, namely, the low density and inconsistent nature of the energy input, which leads to an increase in the cost of the produced electric energy in comparison to the traditional energy complexes using hydrocarbon fuel resources. Therefore, the smart grid technology based on preliminary calculation parameters of the energy system develops in cities. This area should also be used to organize the charging infrastructure of electric vehicles, as the electrification of road transport is one of the global trends. As a result, a current task of the transport and energy field is the development of scientifically based approaches to the formation of the urban charging infrastructure for electric vehicles. The purpose of the article is to identify the features of the application flow formation for the charge of the electric vehicle battery. The results obtained provide a basis for building a simulation model for determining the required number of charging stations in the city, taking into account the criteria of minimizing operating costs for electric vehicle owners and energy companies.


2018 ◽  
Vol 9 (1) ◽  
pp. 14 ◽  
Author(s):  
Julia Krause ◽  
Stefan Ladwig ◽  
Lotte Saupp ◽  
Denis Horn ◽  
Alexander Schmidt ◽  
...  

Fast-charging infrastructure with charging time of 20–30 min can help minimizing current perceived limitations of electric vehicles, especially considering the unbalanced and incomprehensive distribution of charging options combined with a long perceived charging time. Positioned on optimal location from user and business perspective, the technology is assumed to help increasing the usage of an electric vehicle (EV). Considering the user perspectives, current and potential EV users were interviewed in two different surveys about optimal fast-charging locations depending on travel purposes and relevant location criteria. The obtained results show that customers prefer to rather charge at origins and destinations than during the trip. For longer distances, charging locations on axes with attractive points of interest are also considered as optimal. From the business model point of view, fast-charging stations at destinations are controversial. The expensive infrastructure and the therefore needed large number of charging sessions are in conflict with the comparatively time consuming stay.


Author(s):  
G. Celli ◽  
G. G. Soma ◽  
F. Pilo ◽  
F. Lacu ◽  
S. Mocci ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document