Classification of electric vehicle charging time series with selective clustering
Sign Up to like & getrecommendations! Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106695
Abstract: Abstract We develop a novel iterative clustering method for classifying time series of EV charging rates based on their “tail features”. Our method first extracts tails from a diversity of charging time series that have… read more here.
Keywords: classification electric; time series; time; electric vehicle ... See more keywords
Optimal Fast Charging Control for Lithium-ion Batteries
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DOI: 10.1016/j.ifacol.2020.12.1319
Abstract: Fast charging has gained an increasing interest in the convenient use of Lithium-ion batteries. This paper develops a constrained optimization based fast charging control strategy, which is capable of meeting needs in terms of charging… read more here.
Keywords: fast charging; charging time; charging control; lithium ion ... See more keywords
An exact algorithm for the electric-vehicle routing problem with nonlinear charging time
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the Operational Research Society"
DOI: 10.1080/01605682.2020.1730250
Abstract: Abstract In this paper, we consider the Electric-Vehicle Routing Problem (EVRP) with nonlinear charging time. Due to their limited travel ranges, electric vehicles have to be recharged (possibly multiple times) at specific recharging points, which… read more here.
Keywords: routing problem; time; electric vehicle; charging time ... See more keywords
Simulation of a Fast-Charging Porous Thermal Energy Storage System Saturated with a Nano-Enhanced Phase Change Material
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DOI: 10.3390/en14061575
Abstract: The melting of a coconut oil–CuO phase change material (PCM) embedded in an engineered nonuniform copper foam was theoretically analyzed to reduce the charging time of a thermal energy storage unit. A nonuniform metal foam… read more here.
Keywords: charging time; energy storage; thermal energy;
Metaheruistic Optimization Based Ensemble Machine Learning Model for Designing Detection Coil with Prediction of Electric Vehicle Charging Time
Sign Up to like & getrecommendations! Published in 2023 at "Sustainability"
DOI: 10.3390/su15086684
Abstract: An efficient charging time forecasting reduces the travel disruption that drivers experience as a result of charging behavior. Despite the machine learning algorithm’s success in forecasting future outcomes in a range of applications (travel industry),… read more here.
Keywords: machine; charging time; machine learning; ensemble machine ... See more keywords