Unification Requirements of Electric Vehicle Charging Infrastructure

Author(s):  
Khalil Salah ◽  
Nazri Kama

By increasing electric vehicles in numbers and getting the public attention, availability, safety and accessibility of its charging infrastructure are key factors to users’ satisfaction. Charging infrastructure in electric vehicle industry can have a role as an interface for exchanging information among other components as well. Currently, lack of universality in electric vehicle industry has caused an isolation in networks of electric vehicles. This isolation will cause difficulty in having an aggregated set of information about electric vehicles and their consumption pattern. The paper reviews current charging infrastructure and the possibility of providing universality based on candidate protocols and technologies.

Author(s):  
Azhar Ul-Haq ◽  
Marium Azhar

This chapter presents a detailed study of renewable energy integrated charging infrastructure for electric vehicles (EVs) and discusses its various aspects such as siting requirements, standards of charging stations, integration of renewable energy sources for powering up charging stations and interfacing devices between charging facilities and smart grid. A smart charging station for EVs is explained along with its essential components and different charging methodologies are explained. It has been recognized that the amalgamation of electric vehicles in the transportation sector will trigger power issues due to the mobility of vehicles beyond the stretch of home area network. In this regard an information and communication technology (ICT) based architecture may support EVs management with an aim to enhance the electric vehicle charging and energy storage capabilities with the relevant considerations. An ICT based solution is capable of monitoring the state of charge (SOC) of EV batteries, health and accessible amount of energy along with the mobility of EVs.


Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 25 ◽  
Author(s):  
Hassan S. Hayajneh ◽  
Xuewei Zhang

The optimal planning of electric vehicle charging infrastructure has attracted extensive research interest in recent years. Most of the optimization problems were formulated by assuming that the configurations will be fixed at the optimal solution while overlooking the fact that the charging stations and the electric vehicles are “evolving” over time and have mutual impacts. On the other hand, little attention has been paid to evaluate the performance of the solutions in such a dynamic environment. Motivated by these gaps, this work develops a simulation model that captures the interactions between charging station configurations and electric vehicle population (and the preference of electric vehicles when choosing charging station). This modeling framework is then implemented to evaluate the performance of planned charging infrastructure in providing services to electric vehicles. Two indicators are calculated, i.e., usage rate and rejection rate. The former measures the “waste” due to abundant facilities installed; the latter measures the inadequacy of planned facilities, especially when the electric vehicle population is larger. The simulation results presented in this work validate the model and show the potential of the model not only to evaluate designs but also to be used for optimal planning in subsequent works.


2020 ◽  
pp. 158-194
Author(s):  
Azhar Ul-Haq ◽  
Marium Azhar

This chapter presents a detailed study of renewable energy integrated charging infrastructure for electric vehicles (EVs) and discusses its various aspects such as siting requirements, standards of charging stations, integration of renewable energy sources for powering up charging stations and interfacing devices between charging facilities and smart grid. A smart charging station for EVs is explained along with its essential components and different charging methodologies are explained. It has been recognized that the amalgamation of electric vehicles in the transportation sector will trigger power issues due to the mobility of vehicles beyond the stretch of home area network. In this regard an information and communication technology (ICT) based architecture may support EVs management with an aim to enhance the electric vehicle charging and energy storage capabilities with the relevant considerations. An ICT based solution is capable of monitoring the state of charge (SOC) of EV batteries, health and accessible amount of energy along with the mobility of EVs.


2020 ◽  
Vol 164 ◽  
pp. 03016
Author(s):  
Anastasia Gorbunova ◽  
Ilya Anisimov

The development of electric vehicles, which is also observed in the Russian Federation at present, leads to the need to create a charging infrastructure. Variable operating conditions, and in particular low ambient temperature, cause difficulties in the use of electric vehicles, which are associated with a low power reserve and increased energy consumption in the winter. These features of the electric vehicle operation in the Russian Federation can lead to an increase in the number of charging stations needed to create a developed infrastructure, and, therefore, can increase capital costs. The purpose of this research is to identify patterns of the electric vehicle charging station operation in the regional infrastructure using the example of Tyumen city to develop a methodology for calculating their quantity that can satisfy demand in variable climatic conditions with a low capital cost. As a result of this study, patterns of change in the number of charging sessions, its duration and the amount of energy transferred to electric vehicles from the ambient temperature were obtained.


2020 ◽  
Vol 12 (16) ◽  
pp. 6369
Author(s):  
Shuping Wu ◽  
Zan Yang

As electric vehicles can significantly reduce the direct carbon emissions from petroleum, promoting the development of the electric vehicle market has been a new concentration for the auto industry. However, insufficient public charging infrastructure has become a significant obstacle to the further growth of electric vehicle sales. This paper estimates the impact of the availability of public charging piles on electric vehicle sales using panel regression analysis. It then investigates the barriers to the construction and operation of the public charging piles based on a field survey in 101 communities in Beijing, China. We find that insufficient public charging piles would significantly limit the sales of electric vehicles, in particular when the public charging piles are built up for specific users or in developed regions where private parking spaces are limited. It is found that the top four barriers are limited parking spaces, complicated circuit modification, unclear responsibilities for property management companies, and the objection or high mobility of existing parking space users.


Author(s):  
Ahmadu Adamu Galadima ◽  
Tahir Aja Zarma ◽  
Maruf A. Aminu

Concerns about the need for clean energy and the need to reduce green-house gases have led researchers and engineers to explore adoption of electric vehicle technology. Electric vehicles hold a promising future due to their efficiency, low maintenance cost and zero carbon emission. Unfortunately, due to metric range drawbacks associated with electric vehicles, large scale adoption of electric vehicles still remains relatively low. To solve this issue of range anxiety, optimal placement and sizing methods of electric vehicle infrastructure is essential. This paper presents a review of optimal siting of electric vehicle charging infrastructure. It discusses impacts of electric vehicle charging loads on the distribution network and how large scale electric vehicle penetration would affect the grid. Further, the benefits of electric vehicles on the distribution network as well as the integration of renewable energy resources are presented.


Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.


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