scholarly journals Regional Charging Infrastructure for Plug-In Electric Vehicles: A Case Study of Massachusetts

2017 ◽  
Author(s):  
Eric Wood ◽  
Sesha Raghavan ◽  
Clement Rames ◽  
Joshua Eichman ◽  
Marc Melaina
Keyword(s):  
Electric Vehicles ◽  
Charging Infrastructure

scholarly journals Charging for Collaboration: Exploring the Dynamics of Temporal Fit in Interdependent Constellations for Innovation

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5386
Author(s):  
Wouter P. L. van Galen ◽  
Bob Walrave ◽  
Sharon A. M. Dolmans ◽  
A. Georges L. Romme
Keyword(s):  
Electric Vehicles ◽  
Multiple Time ◽  
Collaborative Effort ◽  
Charging Infrastructure ◽  
Charging System ◽  
Collective Goal ◽  
Temporal Structures ◽  
Group Politics ◽  
Innovation Practices

The development of a suitable public charging system for electric vehicles relies on inputs from many complementary organizations that need to synchronize interdependencies across different activities, organizations, and industries. Research on temporal fit has focused on synchronizing activities within or external to the organization, rather than exploring synchronization across multiple organizations with highly interdependent yet colliding temporal structures and multiple time-givers. Drawing on a case study of a collaborative effort to create a national charging infrastructure for electric vehicles, we theorize the interplay between various highly interdependent actors. The resulting theory posits that actors combine and shift between different innovation practices to organize time and explains how multiple, yet interdependent actors engaging in temporal work attempt to accomplish temporal fit. Three entrainment dynamics are identified: (1) temporal tug-of-war through ecosystem configuration; (2) temporal dictating through group politics; and (3) ecosystem navigation through temporal ambivalence. These dynamics arise both between and within groups of actors when they coordinate innovation practices across multiple temporal structures and time-givers. Together, the simultaneous pursuit of synchronization within and across these different coalitions appears to constrain the realization of the collective goal.

scholarly journals Vehicle-to-Water (V2W) Concept for Disaster Relief to Ensure Safe Access to Freshwater and Electricity—A Proposed System Where Electric Vehicles Power the Desalination Process

2021 ◽  
Vol 12 (4) ◽  
pp. 179
Author(s):  
Jennifer Leijon ◽  
Olof Lindahl
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Disaster Relief ◽  
Solar Panels ◽  
Charging Infrastructure ◽  
Water Energy Nexus ◽  
Innovative System ◽  
Safe Access ◽  
New System

In this paper, the concept of vehicle-to-water is proposed for disaster relief. This, along with a presentation of a new system including an electric vehicle of van type, with roof-mounted solar panels and a desalination system installed in its cargo hold. The system can be used for transportation and water and electricity supply, with zero tailpipe emissions. The mobile electric vehicle and desalination system are expected to be beneficial for communities with an urgent need for freshwater while also lacking electricity, such as during natural disasters or societal crises in coastal regions. It is related to the water–energy nexus and is an interdisciplinary project. The electric vehicle would have to be charged from a grid-connected charging infrastructure, and the desalination system would require an inlet of seawater and would generate freshwater and brine. The presentation of the innovative system is followed by a brief case study, estimating the amount of freshwater that could be generated and the amount of people that could benefit from such a system. It is estimated that one system could produce up to 29,333 L of freshwater daily, suggesting that around 1466 people could fulfill their personal daily freshwater need of 20 L during a disaster.

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

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.

scholarly journals On the Investigation of Energy Efficient Torque Distribution Strategies through a Comprehensive Powertrain Model

2021 ◽  
Vol 13 (8) ◽  
pp. 4549
Author(s):  
Sara Salamone ◽  
Basilio Lenzo ◽  
Giovanni Lutzemberger ◽  
Francesco Bucchi ◽  
Luca Sani
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Energy Efficient ◽  
Storage System ◽  
Energy Storage System ◽  
Torque Distribution ◽  
Driving Cycles ◽  
Energy Models ◽  
Battery State Of Charge

In electric vehicles with multiple motors, the torque at each wheel can be controlled independently, offering significant opportunities for enhancing vehicle dynamics behaviour and system efficiency. This paper investigates energy efficient torque distribution strategies for improving the operational efficiency of electric vehicles with multiple motors. The proposed strategies are based on the minimisation of power losses, considering the powertrain efficiency characteristics, and are easily implementable in real-time. A longitudinal dynamics vehicle model is developed in Simulink/Simscape environment, including energy models for the electrical machines, the converter, and the energy storage system. The energy efficient torque distribution strategies are compared with simple distribution schemes under different standardised driving cycles. The effect of the different strategies on the powertrain elements, such as the electric machine and the energy storage system, are analysed. Simulation results show that the optimal torque distribution strategies provide a reduction in energy consumption of up to 5.5% for the case-study vehicle compared to simple distribution strategies, also benefiting the battery state of charge.

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