[HTML][HTML] Enhanced EV charging algorithm considering data-driven workplace chargers categorization with multiple vehicle types

C Diaz-Londono, G Fambri, P Maffezzoni, G Gruosso - eTransportation, 2024 - Elsevier
The increasing penetration of Electric Vehicles (EVs) presents significant challenges in
integrating EV chargers. To address this, precise smart EV charging strategies are …

Estimating the charging profile of individual charge sessions of Electric Vehicles in The Netherlands

JJ Mies, JR Helmus, R Van den Hoed - World Electric Vehicle Journal, 2018 - mdpi.com
The mass adoption of Electric Vehicles (EVs) might raise pressure on the power system,
especially during peak hours. Therefore, there is a need for delayed charging. However, to …

[HTML][HTML] Smart EV charging strategies based on charging behavior

S Singh, B Vaidya, HT Mouftah - Frontiers in Energy Research, 2022 - frontiersin.org
Coming years, the number of electric vehicles (EVs) shall increase significantly, so the
demand for electricity for charging EVs will proportionately increase as well. Thus, the …

[HTML][HTML] Data-driven smart charging for heterogeneous electric vehicle fleets

O Frendo, J Graf, N Gaertner, H Stuckenschmidt - Energy and AI, 2020 - Elsevier
The ongoing electrification of mobility comes with the challenge of charging electric vehicles
(EVs) sufficiently while charging infrastructure capacities are limited. Smart charging …

[HTML][HTML] Assessing the value of information for electric vehicle charging strategies at office buildings

L Winschermann, NB Arias, G Hoogsteen… - … and Sustainable Energy …, 2023 - Elsevier
Smart charging strategies for electric vehicles (EVs) require as input information such as
energy requirement and dwell time. In practice, that information is often not available …

Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

Z Yi, M Shirk - Transportation Research Part C: Emerging …, 2018 - Elsevier
This study introduces an optimal charging decision making framework for connected and
automated electric vehicles under a personal usage scenario. This framework aims to …

Improving smart charging prioritization by predicting electric vehicle departure time

O Frendo, N Gaertner… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Electric vehicles (EVs) are increasingly used for commuting to the workplace where
employees expect charging opportunities. Limited power supply in existing infrastructures …

A decision-making framework for the smart charging of electric vehicles considering the priorities of the driver

N Milas, D Mourtzis, E Tatakis - Energies, 2020 - mdpi.com
During the last decade, the technologies related to electric vehicles (EVs) have captured
both scientific and industrial interest. Specifically, the subject of the smart charging of EVs …

Review on scheduling, clustering, and forecasting strategies for controlling electric vehicle charging: Challenges and recommendations

AS Al-Ogaili, TJT Hashim, NA Rahmat… - Ieee …, 2019 - ieeexplore.ieee.org
The usage and adoption of electric vehicles (EVs) have increased rapidly in the 21st century
due to the shifting of the global energy demand away from fossil fuels. The market …

[HTML][HTML] A method for generating complete EV charging datasets and analysis of residential charging behaviour in a large Norwegian case study

ÅL Sørensen, I Sartori, KB Lindberg… - Sustainable Energy, Grids …, 2023 - Elsevier
Electric vehicles (EVs) are part of the solution to achieve global carbon emissions reduction
targets, and the number of EVs is increasing worldwide. Increased demand for EV charging …