Results 31 to 40 of about 2,927,451 (294)

Public charging infrastructure and the market diffusion of electric vehicles [PDF]

open access: yesTransportation Research Part D: Transport and Environment, 2020
Abstract A comprehensive roll-out of public charging infrastructure will be costly. However, its impact on the diffusion of electric vehicles (EVs) is not clear. Our study aims at estimating the extent to which an increasing availability of public charging infrastructure promotes consumers decisions to switch to EVs.
Illmann, Ulrike, Kluge, Jan
openaire   +4 more sources

Reducing Range Anxiety by Unifying Networks of Charging Stations

open access: yesMATEC Web of Conferences, 2016
Availability of charging infrastructure is an important factor in penetration of electric vehicles into daily transportation system. Several factors in electric vehicle industry have caused range anxiety including insufficient charging stations, limited ...
Salah Khalil, Kama Nazri
doaj   +1 more source

Simulation-Based Evaluation of Charging Infrastructure Concepts: The Park and Ride Case

open access: yesWorld Electric Vehicle Journal, 2022
In this study, a framework regarding park and ride facilities is presented and demonstrated to evaluate different approaches of charging concepts. The innovation in this study is that the framework can be used to evaluate arbitrary conductive charging ...
Markus Fischer   +3 more
doaj   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

State-of-the-Art and Advancement of Charging Infrastructure in Electric Mobility: An Integrated Review

open access: yesEnergies
Electric mobility is attracting significant attention in the current era due to its environmental benefits, sustainable transportation options, and the absence of carbon emissions.
Mohammad Waseem   +3 more
doaj   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns   +67 more
wiley   +1 more source

Solar Charging of Electric Vehicles: Experimental Results

open access: yesApplied Sciences, 2022
Sales of electric vehicles, for commercial use and personal use, keep rising. In parallel of the development of the associated Electric Vehicle Charging Infrastructure (EVCI), systems for controlling the charging of EVs will have to be developed in order
Bruno Robisson   +4 more
doaj   +1 more source

Predicting Popularity of Electric Vehicle Charging Infrastructure in Urban Context [PDF]

open access: yesIEEE Access, 2020
The availability of charging infrastructure is essential for large-scale adoption of electric vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not only for the energy demand by loading local power grids, but influence the economic returns, parking policies and further adoption of EVs.
Milan Straka   +6 more
openaire   +3 more sources

Creating a market: Victorian electric vehicle trial mid-term report [PDF]

open access: yes, 2013
Since the Electric Vehicle trial commenced in October 2010, more than 3,500 people have subscribed to the EV newsletter, 139 charging outlets have been installed across metro Melbourne, and EVs involved in the trial have travelled more than 300,000 ...

core  

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose   +7 more
wiley   +1 more source

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