scholarly journals An Australian Perspective on Local Government Investment in Electric Vehicle Charging Infrastructure

2021 ◽  
Vol 13 (12) ◽  
pp. 6590
Author(s):  
Scott Dwyer ◽  
Claudine Moutou ◽  
Kriti Nagrath ◽  
Joseph Wyndham ◽  
Lawrence McIntosh ◽  
...  
Keyword(s):  
Local Government ◽  
Electric Vehicle ◽  
Local Governments ◽  
Business Models ◽  
Local Community ◽  
Government Investment ◽  
Large Country ◽  
Charging Infrastructure ◽  
Electric Vehicle Charging ◽  
Ev Charging

Electric vehicle (EV) adoption is growing worldwide with increasing market pull from consumers and market push from manufacturers of vehicles and charging equipment, as well as others in the supply chain. Governments have begun developing policies to support EV uptake and local governments, in particular, are examining what role they should play. In Australia, a large country with low population density, EV uptake has been slower in comparison to other similar economies. This paper discusses the status of EV charging infrastructure deployment in Australia with regards to local governments, by considering the extent to which they are relied upon for the deployment of such technology and what motivates them to act. It also covers the work undertaken by the authors with one local government in developing an EV charging infrastructure business model that will help the local community adopt and benefit from EVs. An applied use of the business canvas methodology adapted to suit local government interests is presented to assess the risks and benefits that different business models offer. The paper offers insights into the strategic and pragmatic responsibilities local governments balance in seeking to expand the EV charging infrastructure in their jurisdiction.

scholarly journals Leveraging User Preferences to Develop Profitable Business Models for Electric Vehicle Charging

2021 ◽  
Vol 12 (2) ◽  
pp. 60
Author(s):  
Felix Röckle ◽  
Thimo Schulz
Keyword(s):  
Case Studies ◽  
Electric Vehicle ◽  
Business Models ◽  
Brand Image ◽  
User Preferences ◽  
Value Network ◽  
Electric Vehicle Charging ◽  
Utility Companies ◽  
Physical Assets ◽  
Ev Charging

To design profitable business models for electric vehicle (EV) charging it is necessary to understand user preferences. For this purpose, prior literature is analyzed to develop a conceptual framework linking a company’s assets, the surrounding value network, and user preferences. Then, survey insights from two EV charging projects (ultra-E, SLAM) are summarized to illustrate user preferences in this area. Based on this data, the framework is eventually visualized by applying it to four case studies from the EV charging market. Based on the case studies, the following six key findings are derived: 1. Companies that have a very strong position in one of the three resource classes that define the quality-of-service provision (physical assets, digital assets, brand image) demand a higher price for fast charging. 2. Utility companies leverage their existing customer base. 3. New to the industry firms leverage their brand image to enter the market. 4. Selling below cost is not sustainable. 5. Sharp price distinctions reflect the power balance within the value network. 6. Power plays may result in a fragmented market.

Comparative Study on Electric Vehicle Charging Standards at Home and Abroad

2012 ◽  
Vol 608-609 ◽  
pp. 1553-1559
Author(s):  
Wu Wu Tang ◽  
Yu Ming Wu ◽  
Jian Qin
Keyword(s):  
Comparative Study ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Future Development ◽  
Harmonious Development ◽  
Charging Infrastructure ◽  
Electric Vehicle Charging ◽  
Ev Charging ◽  
S Application ◽  
At Home

Charging infrastructure is the fundamental conditions of electric vehicles(EV)’s application and dissemination, and advanced charging standards can guide and regulate the harmonious development of EV and infrastructure. In this paper, plenty of and latest EV charging standards were collected at home and abroad, which were compared in different classifications, then the standards differences were analyzed in term of relative merits to provide reference for the future development of EV charging standards in China.

scholarly journals Development of Electric Vehicle Charging Infrastructure Based on Population

2020 ◽  
Vol 6 (6) ◽  
pp. 14-16
Author(s):  
S Mani ◽  
R Raguraj ◽  
R Harikaran ◽  
S Hariramselvakanth ◽  
K.S. Gowthaman
Keyword(s):  
Electric Vehicle ◽  
Nearest Neighbor ◽  
Learning Algorithm ◽  
Population Data ◽  
Initial Time ◽  
K Nearest Neighbor ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Ev Charging

This research investigates electric vehicle(EV) charging behavior and aims to find the best method for its prediction in order to optimize the EV charging station(CS). This paper discusses several commonly used machine learning algorithm or k-Nearest Neighbor(k-NN) to predict charging station based on population data records. According to the objective of the charging station planning, use the concept of group to do clustering evolution search. Hence the results of k-NN algorithm achieved through MATLAB software. Based on the population, the initial time location of the charging station will be randomly considered in Manapparai, Lalgudi, Vaiyampatti, Thiruverumbur in Trichy based on population.

A Tale of Two Entities

2021 ◽  
Vol 2 (2) ◽  
pp. 1-21
Author(s):  
Hossam ElHussini ◽  
Chadi Assi ◽  
Bassam Moussa ◽  
Ribal Atallah ◽  
Ali Ghrayeb
Keyword(s):  
Power Flow ◽  
Power Grid ◽  
Communication Protocols ◽  
Charging Infrastructure ◽  
Electric Vehicle Charging ◽  
Public Data ◽  
Simulation Based ◽  
Charging Stations ◽  
The Impact ◽  
Ev Charging

With the growing market of Electric Vehicles (EV), the procurement of their charging infrastructure plays a crucial role in their adoption. Within the revolution of Internet of Things, the EV charging infrastructure is getting on board with the introduction of smart Electric Vehicle Charging Stations (EVCS), a myriad set of communication protocols, and different entities. We provide in this article an overview of this infrastructure detailing the participating entities and the communication protocols. Further, we contextualize the current deployment of EVCSs through the use of available public data. In the light of such a survey, we identify two key concerns, the lack of standardization and multiple points of failures, which renders the current deployment of EV charging infrastructure vulnerable to an array of different attacks. Moreover, we propose a novel attack scenario that exploits the unique characteristics of the EVCSs and their protocol (such as high power wattage and support for reverse power flow) to cause disturbances to the power grid. We investigate three different attack variations; sudden surge in power demand, sudden surge in power supply, and a switching attack. To support our claims, we showcase using a real-world example how an adversary can compromise an EVCS and create a traffic bottleneck by tampering with the charging schedules of EVs. Further, we perform a simulation-based study of the impact of our proposed attack variations on the WSCC 9 bus system. Our simulations show that an adversary can cause devastating effects on the power grid, which might result in blackout and cascading failure by comprising a small number of EVCSs.

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