Electric vehicle preparedness Task 3: Detailed assessment of charging infrastructure for plug-in electric vehicles at Joint Base Lewis McChord

2014 ◽  
Author(s):  
Steve Schey ◽  
Jim Francfort
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Charging Infrastructure ◽  
Detailed Assessment

scholarly journals Simulation of Future Electric Vehicle Charging Behavior—Effects of Transition from PHEV to FEV

2019 ◽  
Vol 10 (2) ◽  
pp. 42 ◽  
Author(s):  
Igna Vermeulen ◽  
Jurjen Rienk Helmus ◽  
Mike Lees ◽  
Robert van den Hoed
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Early Years ◽  
Charging Infrastructure ◽  
Agent Based ◽  
Electric Vehicle Charging ◽  
Subsidy Scheme ◽  
Infrastructure Performance ◽  
Charging Stations

The Netherlands is a frontrunner in the field of public charging infrastructure, having one of the highest number of public charging stations per electric vehicle (EV) in the world. During the early years of adoption (2012–2015), a large percentage of the EV fleet were plugin hybrid electric vehicles (PHEV) due to the subsidy scheme at that time. With an increasing number of full electric vehicles (FEVs) on the market and a current subsidy scheme for FEVs only, a transition of the EV fleet from PHEV to FEV is expected. This is hypothesized to have an effect on the charging behavior of the complete fleet, and is reason to understand better how PHEVs and FEVs differ in charging behavior and how this impacts charging infrastructure usage. In this paper, the effects of the transition of PHEV to FEV is simulated by extending an existing agent-based model. Results show important effects of this transition on charging infrastructure performance.

scholarly journals Studying the Formation of the Charging Session Number at Public Charging Stations for Electric Vehicles

2020 ◽  
Vol 12 (14) ◽  
pp. 5571
Author(s):  
Anastasia Gorbunova ◽  
Ilya Anisimov ◽  
Elena Magaril
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Electric Energy ◽  
Hydrocarbon Fuel ◽  
Energy System ◽  
Road Transport ◽  
Preliminary Calculation ◽  
Charging Infrastructure ◽  
Charging Stations

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.

scholarly journals Future Policy and Technological Advancement Recommendations for Enhanced Adoption of Electric Vehicles in South Africa: A Survey and Review

2021 ◽  
Vol 13 (22) ◽  
pp. 12535
Author(s):  
Mokhele Edmond Moeletsi
Keyword(s):  
South Africa ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Combustion Engine ◽  
Technological Advancement ◽  
Charging Infrastructure ◽  
Electric Vehicle Adoption ◽  
Future Policy ◽  
High Level ◽  
Alternative Propulsion Systems

There are major concerns globally on the increasing population of internal combustion engine (ICE) vehicles and their environmental impact. The initiatives for the advancement of alternative propulsion systems, such as electric motors, have great opportunities, but are marked by a number of challenges that require major changes in policies and serious investment on the technologies in order to make them viable alternative mobility sources around the world. South Africa has struggled a lot in adopting electric vehicles among all the emerging countries. This is mostly attributed to a non-conducive environment for electric vehicle adoption. This study administered a survey consisting of Likert-scale questions in the Gauteng Province to gather information on people’s views on some of the major concerns around electric vehicle technology. The survey results demonstrated that Gauteng residents perceive electric vehicle price as the main constraint towards adoption of the technology and introduction of government policy towards addressing this challenge would be helpful. Some of the suggested interventions, such as the rollout of purchasing subsidies and tax rebates, received a high level of satisfaction among the respondents. Future initiatives that tackle issues of charging infrastructure network also received high satisfaction. Thus, there is a need for all stakeholders in the South African automotive industry to improve the enabling environment for the adoption of electric vehicles.

scholarly journals A Reference Architecture for Interoperable Reservation Systems in Electric Vehicle Charging

Smart Cities ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1405-1427
Author(s):  
Robert Basmadjian ◽  
Benedikt Kirpes ◽  
Jan Mrkos ◽  
Marek Cuchý
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Ad Hoc ◽  
Reference Architecture ◽  
Proof Of Concept ◽  
Charging Infrastructure ◽  
Electric Vehicle Charging ◽  
Reservation System ◽  
Stakeholder Requirements

The charging infrastructure for electric vehicles faces the challenges of insufficient capacity and long charging duration. These challenges decrease the electric vehicle users’ satisfaction and lower the profits of infrastructure providers. Reservation systems can mitigate these issues. We introduce a reference architecture for interoperable reservation systems. The advantages of the proposed architecture are: it (1) considers the needs of the most relevant electric mobility stakeholders, (2) satisfies the interoperability requirements of existing technological heterogeneity, and (3) provides a classification of reservation types based on a morphological methodology. We instantiate the reference architecture and verify its interoperability and fulfillment of stakeholder requirements. Further, we demonstrate a proof-of-concept by instantiating and implementing an ad-hoc reservation approach. Our validation was based on simulations of real-world case studies for various reservation deployments in the Netherlands. We conclude that, in certain high demand situations, reservations can save significant time for electric vehicle trips. The findings indicate that a reservation system does not directly increase the utilization of the charging infrastructure.

Feasibility Study of Renewable Energy Integrated Electric Vehicle Charging Infrastructure

2016 ◽  
pp. 313-349
Author(s):  
Azhar Ul-Haq ◽  
Marium Azhar
Keyword(s):  
Renewable Energy ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Area Network ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations

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.

Electric Vehicle Infrastructure Planning

2020 ◽  
pp. 118-127 ◽  
Author(s):  
Tushar Kumar ◽  
Tripta Thakur
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Electricity Markets ◽  
Capital Investment ◽  
Internal Combustion Engines ◽  
Low Cost ◽  
Limited Range ◽  
Charging Infrastructure ◽  
The Public ◽  
Electric Vehicle Adoption

Widespread adoption of electric vehicles would bring a paradigm shift in the way distribution infrastructure is planned and electricity markets operate. Electric vehicle adoption could help in meeting the worldwide targets for greenhouse gas emissions. Moreover, the health benefits for the public would be immense as the source of emissions would be far away from the massively populated areas. For electricity markets, electric vehicles can serve as a distributed plug in facility of energy storage at low cost requiring minimal capital investment from grid utilities. However, widespread electric vehicle adoption faces a number of hurdles such as limited range in comparison to Internal combustion engines, but from the grid perspective, it faces issues such as limitations of available charging infrastructure to charge large number of electric vehicles and longer charging time currently as compared to refueling fuel driven vehicles. This chapter explores such issues and their remedies in the current literature.

Electrifying Ride-Hailing in the United States, Europe, and Canada: How to Enable Ride-Hailing Drivers to Switch to Electric Vehicles

2021 ◽  
Author(s):  
Leah Lazer ◽  
Sadanand Wachche ◽  
Ryan Sclar ◽  
Sarah Cassius
Keyword(s):  
United States ◽  
Internal Combustion Engine ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Financial Incentives ◽  
Combustion Engine ◽  
The United States ◽  
Charging Infrastructure ◽  
Transportation Emissions ◽  
Ev Charging

Efforts to reduce transportation emissions through electrification can accelerate their impact by focusing on intensively used vehicles. Vehicles driven on ride-hailing platforms such as Uber and Lyft are intensively used, and their distinct charging patterns can support the development of essential electric vehicle (EV) charging infrastructure. However, vehicles used for ride-hailing are often missed by actions to electrify other intensively used vehicles, and an array of disparately available financial incentives, EV models, and charging options produce a complicated landscape where it is often unclear whether an EV costs more or less than an internal combustion engine (ICE) vehicle or is suitable for ride-hailing. As a result, in U.S., European, and Canadian cities, the share of EVs among vehicles used for ride-hailing is often lower than or similar to the share of EVs in the overall vehicle stock. This paper identifies the largest barriers that prevent ride-hailing drivers from accessing EVs and analyzes ways that governments, industry and other stakeholders can tackle those barriers. It includes city scorecards that evaluate 10 U.S., European and Canadian cities on their progress towards dismantling these barriers, using an original methodology and data from Uber.

A behavioral intervention to reduce range anxiety and increase electric vehicle uptake

2021 ◽  
Author(s):  
Mario Herberz ◽  
Ulf Hahnel ◽  
Tobias Brosch
Keyword(s):  
Electric Vehicle ◽  
Behavioral Intervention ◽  
Electric Vehicles ◽  
Large Scale ◽  
Global Market ◽  
Charging Infrastructure ◽  
Technological Adoption ◽  
Financial Benefits ◽  
Willingness To Adopt ◽  
Range Anxiety

Abstract Electric vehicles are on the rise, but are still far from reaching the global market share required to achieve climate objectives. While financial and technological adoption barriers are increasingly removed, psychological barriers remain insufficiently addressed on a large scale. Here, we show that car owners substantially underestimate the compatibility of available battery capacities with their individual mobility needs, increasing the demand of long battery ranges and reducing willingness to adopt. We test a simple behavioral intervention in two randomized online experiments in Germany and the U.S.: providing tailored compatibility information reduced range anxiety and increased willingness to pay for electric vehicles. Compatibility information more strongly increased preferences than information about privileged access to charging infrastructure, and selectively increased preferences of car owners for whom an electric vehicle would yield higher financial benefits. This scalable intervention may complement classical policy approaches in achieving a resource-conscious and global electrification of mobility.

scholarly journals Evaluation of Electric Vehicle Charging Station Network Planning via a Co-Evolution Approach

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 25 ◽  
Author(s):  
Hassan S. Hayajneh ◽  
Xuewei Zhang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Optimization Problems ◽  
Optimal Solution ◽  
Optimal Planning ◽  
Modeling Framework ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

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.

scholarly journals Fast-Charging Infrastructure Planning Model for Urban Electric Vehicles

2021 ◽  
Author(s):  
Tran Van Hung
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Future Research ◽  
Planning Model ◽  
Transit System ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Fast Charging ◽  
Battery Degradation

Electric vehicles have become a trend as a replacement to gasoline-powered vehicles and will be a sustainable substitution to conventional vehicles. As the number of electric vehicles in cities increases, the charging demand has surged. The optimal location of the charging station plays an important role in the electric vehicle transit system. This chapter discusses the planning of electric vehicle charging infrastructure for urban. The purpose of this work develops an electric vehicle fast-charging facility planning model by considering battery degradation and vehicle heterogeneity in driving range, and considering various influencing factors such as traffic conditions, user charging costs, daily travel, charging behavior, and distribution network constraints. This work identifies optimal fast-charging stations to minimize the total cost of the transit system for deploying fast-charging networks. Besides, this chapter also analyzes some optimization modeling approach for the fast charging location planning, and point out future research directions.

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