… time energy consumption prediction under real-world driving conditions is … driving data
collected from fifty-five electric taxis in Beijing city are obtained and divided into three-level driving …

… vehicle dynamics and kinematics. As the ultimate goal of this study is all-electric range (AER)
prediction for electric vehicles, … The battery-to-wheel consumption of an electric vehicle is a …

… of electric vehicles (EVs). To address the problem of range anxiety, this paper presents an
energy consumption prediction … paper is to develop a data-driven method to predict the energy …

… through the development of a novel data-driven prediction framework. The primary …
prediction model when facing EV groups with varying sizes, and that (2) it improves the prediction …

… electric vehicles (HEVs) and plug-in hybrid electric vehicles (… For that reason, AI-based
data-driven prediction models were … database and real driving data. Therefore, corresponding …

… driving data that are stored in a driver profile, and using real time information about the Electric
Vehicle … range autonomy accurately, taking into account the historical driver behavior. The …

… Vehicle Characteristics In this paper, the specific electric vehicle has been used to predict the
… However, the suggested model can be used to predict any other EVs consumption. Due to …

… the energy driving range of an electric vehicle. The estimation takes into account the specific
vehicle … The driving profile prediction however is based on historical data and standard …

… -independent-driving electric vehicles was put forward in this paper. Based on longitudinal
dynamics of the four-wheel-independent-driving electric vehicles and energy consumption …

… Method have forecast the driving range by global positioning system, 8 this method has a
certain leading edge, but it is need to be equipped with a powerful driving data processing …