A new approach to evaluate personalized energy consumption is presented in this paper.
The method consists of identifying driver-vehicle dynamics using the probability weighted …

As prediction of trip-based electricity consumption has become an prerequisite for the
deployment of large-scale EB fleets, this study has established random forest-based models …

Vehicle velocity forecasting plays a critical role in operation scheduling of varying systems
and devices for a passenger vehicle. The forecasted information serves as an indispensable …

The energy-saving and emission reduction potential of hybrid electric vehicles are of great
significance to the environment's sustainable development. The trade-off between energy …

Electric buses (EBs) are gaining popularity worldwide as a more sustainable and eco-
friendly alternative to diesel buses (DBs). Electricity-saving driving plays a crucial role in …

This study models the energy consumption of electric vehicles (EVs) under uncertain and
small data conditions by combining the machine learning method and the idea of controlled …

Driving cycle prediction plays a key role in energy management strategy (EMS) for hybrid
electric vehicles (HEVs). This paper studies a driving cycle prediction method based on …

The transport sector is one of the most polluting sectors globally, battery electric vehicles
(BEVs) are deemed as one alternative to improve the environmental efficiency for the …

This study addresses the challenge of accurately forecasting the energy consumption of
electric vehicles (EVs), which is crucial for reducing range anxiety and advancing strategies …

Recommending suitable charging spots to drivers on expressways for both charging
equipment and electric vehicles (EVs) is an important issue for the spread of EVs. Therefore …