Results 11 to 20 of about 8,605 (267)
Road surface influence on electric vehicle noise emission at urban speed
Noise Mapping, 2021 Considering the relative quietness of electric motors, tyre/road interaction has become the prominent source of noise emission from Electric Vehicles (EVs).
Cesbron Julien +5 more
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Energies, 2017 Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the
Fuad Un-Noor +4 more
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Energies, 2021 Electric vehicle (EV) use is growing at a steady rate globally. Many countries are planning to ban internal combustion engines by 2030. One of the key issues needed to be addressed before the full-scale deployment of EVs is ensuring energy security ...
Neil Stephen Lopez +2 more
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A Study of Torque Vectoring and Traction Control for an All-Wheel Drive Electric Vehicle
MATEC Web of Conferences, 2014 Common vehicle always experience energy loss during cornering manoeuver. Thus, to ensure it did not happened especially at high speed, a study of torque vectoring and traction control need to be made since it can increase the traction control of tyres ...
Maharun Mui’nuddin +1 more
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Data on U.S. state-level electric vehicle policies, 2010–2015
Data in Brief, 2019 This data set documents the duration and value of U.S. state and local electric vehicle (EV) policies in effect from 2010 to 2015. Though the focus is on policies at the state-level, local government and electric utility policies are documented when they
Sherilyn Wee +2 more
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EnergiesElectric vehicles (EVs) have seen significant growth due to the increasing awareness about environmental concerns and the negative impacts of internal combustion engine vehicles (ICEVs).
Ibham Veza +5 more
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Electric Vehicle Enquiry (EVE) Pilot
CoRRThis data paper presents the dataset from a study on the use of electric vehicles (EVs). This dataset covers the first dataset collected in this study: the usage data from a Renault Zoe over 3 years. The process of collection of the dataset, its treatment, and descriptions of all the included variables are detailed.
Seun Osonuga +2 more
openaire +2 more sources
The V2G Process With the Predictive Model
IEEE Access, 2020 The paper proposes using a predictive model to optimize the use of electricity in the V2G (vehicle to grid) service. The novelty of the mechanism as a kind of model predictive control (MPC) is that it seeks an effective way of managing electric energy in
Bartlomiej Mroczek, Amanda Kolodynska
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Flexible electric vehicle charging and its role in variable renewable energy integration
Environmental Systems Research, 2023 Uptake of electric vehicles is accelerating as governments around the world aim to decarbonize transportation. However, swift and widespread electric vehicle (EV) adoption will require some degree of controlled charging to mitigate the adverse impacts of
Robert Xu +3 more
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Energy Reports, 2021 In this study, we propose a machine learning (ML) model to predict the availability of an electric vehicle (EV) providing vehicle to home (V2H) services. Electric vehicles are able to store and give back energy directly to consumers and/or the grid using
Donovan Aguilar-Dominguez +3 more
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