Driving prediction techniques (DPTs) are used to forecast the distributions of various future
driving conditions (FDC), like velocity, acceleration, driver behaviors etc. and the quality of …

The depletion of fossil fuel and increase of environmental pollution caused by internal
combustion engine vehicles are big issues worldwide that need to be solved. One of …

This work evaluates the impacts of ambient temperature and trip characteristics on the
energy consumption of an electric vehicle (EV) during road tests. The trip characteristics are …

Abstract Electric Vehicles (EVs) are known as the future vehicles that have the potential to
provide environmental benefits all over the world. The Greenhouse Gas (GHG) emissions of …

This paper proposes an effective and scientific method for the construction of a
representative driving cycle for electric vehicles (EV) and takes it as a foundation for …

The ability to accurately predict the energy consumption of electric vehicles (EVs) is
important for alleviating the range anxiety of drivers and is a critical foundation for the spatial …

In this paper, we present an ensemble stacked generalization (ESG) approach for better
prediction of electric vehicles (EVs) energy consumption. ESG is a weighted combination of …

This paper develops a systematic and practical construction methodology of a
representative urban driving cycle for electric vehicles, taking Xi'an as a case study. The …

Abstract Development in new energy vehicles (NEVs) has been playing a critical role in
carbon emission reduction and air pollution control. In recent years, China has made …

Electric vehicles are affected by various factors such as the ambient temperature, traffic
conditions, driver behavior, vehicle weight, and route characteristics. This study evaluated …