… a restriction in drivers' mobility demand. The results show that charging station operators
benefit from leveraging the driving patterns of electric vehicles. Thereby, smart charging and the …

… power system in electric vehicles. In this paper, a vehicle speed prediction model predictive
control (… Then the vehicle power demand prediction sequence can be formulated through the …

This paper studies the coordinated charging strategy of an electric vehicle (EV) charging
station to achieve different objectives. The coordinated charging strategy considers not only the …

… electric vehicles and hybrid electric vehicles are highly dependent on the forecast of future
driver torque/power request sequence that affects vehicle … -driven torque prediction strategies. …

… battery electric vehicles and 625,000 plug-in hybrid electric vehicles sold in … prediction of
the half-occupancy and the prediction of the categorised values. The results of this prediction …

… Compared to pure battery electric vehicles, PHETs offer the advantage of being more flexible
in terms of energy sources, can utilise smaller battery packs, and require smaller external …

… an efficient way of predicting the power requirements of electric vehicles (EVs) based on a
… This prediction also helps BMS efficiently schedule and allocate battery cells in real time to …

… adoptions of electric vehicles (EVs) would bring a potential threat on the existing electric grid.
In … Also, the elimination items are introduced into the Bass model to improve the prediction …

… , electric vehicles (EVs) have attracted significant attention, in which the pure electric vehicles
(… the range of conventional vehicles due to the low energy density of vehicle battery, which …

… of the disorderly charging of electric vehicles (EVs) on … prediction based on a wavelet
neural network is proposed, and compared with the traditional BP neural network, the prediction …