Optimal Deployment of Charging Stations for Electric Vehicles: A Formal Approach

Datta, Amarjit; Ledbetter, Brian; Rahman, Mohammad Ashiqur

doi:10.1109/icdcsw.2017.26

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…It can be assumed that the number of charging points in urban environments should be proportional to the number of electric vehicles there. The number of charging stations in cities will thus increase with increasing e-mobility [5].…”

Section: Organisational Issues For E-mobilitymentioning

confidence: 99%

Technological and organisational challenges for e-mobility

Stańczyk

Hyb²

2019

The Archives of Automotive Engineering – Archiwum Motoryzacji

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With the rapid growth of schemes and initiatives to promote e-mobility and numerous measures taken to ensure its quick and effective implementation, there is a wide range of technological and non-technological problems, especially organisational, economic, legal and social in nature, that have to be handled by national and local governments all over the world. This article addresses some of the technological and organisational challenges for electromobility. The key technology-related issues to be coped with are the need for longer ranges of electric vehicles (EVs), shorter charging times and smart power grids (because of a higher demand for electrical energy). Another important problem to be solved urgently is the high battery weight, affecting the vehicle dynamics. Because of the excessive weight of the battery pack, there is a risk of its displacement during a crash, which may jeopardize the safety on the road. The next big concern, also associated with safety, is protection against electrical and fire hazards in the event of a collision. The most important of all the organisational challenges related to EVs is the necessity to create networks of charging stations. Their insufficient number and unsatisfactory distribution are strong barriers hampering the development of e-mobility. The organisational measures also include privileges such as access to bus lanes, already offered in some countries. Finally, there is the need to urgently train a large number of electricians to test and maintain EVs, the need to create a recycling system for used EV batteries, and the need to deal with the organisational aspects of the development of smart power grids.

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Section: Organisational Issues For E-mobilitymentioning

confidence: 99%

Technological and organisational challenges for e-mobility

Stańczyk

Hyb²

2019

The Archives of Automotive Engineering – Archiwum Motoryzacji

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“…In [7,8,9] researchers have analysed the optimal design and location of EV charging stations. The goal of the optimization problem is to find the most suitable framework that ensures the minimum charging time, travel time and charging cost.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Electric Mobility Scenarios in Large Urban Areas: The Rome Case Study

Liberto

Valenti

Orchi

et al. 2018

IEEE Trans. Intell. Transport. Syst.

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“…This model can allocate the power of charging stations well, and it is also helpful in reducing the number of electric charging stations. Amarjit [32] thought it necessary to increase the number of electric vehicle charging stations and deploy the optimal number of charging stations to balance the power. In this paper, a formal framework has been proposed to satisfy the demands of the increasing number of electric vehicles.…”

Section: Related Workmentioning

confidence: 99%

A Deploying Method for Predicting the Size and Optimizing the Location of an Electric Vehicle Charging Stations

Zhang

2018

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Abstract:With the depletion of oil resources and the aggravation of environmental pollution, electric vehicles have a growing future and will be more popular as the main force of new energy consumption. They have attracted greater attention from various countries. The sizing and location problem for charging stations has been a hot point of global research, and these issues are important for government planning for electric vehicles. In this paper, we first built a BASS model to predict the total number of electric vehicles and calculate the size of charging stations in the coming years. Moreover, we also developed a queuing model to optimize the location of charging stations and solved this issue by using the exhaustion method, which regards minimum cost as the objective function. After that, the model was tested using data from a city in China. The results show that the model in this paper is good at predicting the number of electric vehicles in the coming years and calculating the size of charging stations. At the same time, it can also optimize the distribution of charging stations and make them more balanceable. Thus, this model is beneficial for the government in planning the development of electric vehicles in the future.

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Optimal Deployment of Charging Stations for Electric Vehicles: A Formal Approach

Cited by 7 publications

References 8 publications

Technological and organisational challenges for e-mobility

Technological and organisational challenges for e-mobility

The Impact of Electric Mobility Scenarios in Large Urban Areas: The Rome Case Study

A Deploying Method for Predicting the Size and Optimizing the Location of an Electric Vehicle Charging Stations

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