We investigate the impact of road gradient on the electricity consumption of electric vehicles
(EVs) by combining long-term GPS tracking data with digital elevation map (DEM) data 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 …

Electric vehicles (EVs) are widely regarded as a promising solution to reduce air pollution in
cities and key to a low carbon mobility future. However, their environmental benefits depend …

The limited driving range is considered as a significant barrier to the spread of electric
vehicles. One effective method to reduce “range anxiety” is to offer accurate information to …

Use of electric vehicles (EVs) has been viewed by many as a way to significantly reduce oil
dependence, operate vehicles more efficiently, and reduce carbon emissions. Due to the …

This paper analyses transport energy consumption of conventional and electric vehicles in
mountainous roads. A standard round trip in Andorra has been modelled in order to …

This paper develops a methodology for constructing a representative electric vehicle (EV)
urban driving cycle as a basis for studying the differences in estimated energy consumption …

Electric vehicles can contribute to climate change mitigation if coupled with decarbonized
electricity, but only if vehicle range matches travellers' needs. Evaluating electric vehicle …

The number of electric vehicles in service throughout the world has increased from a few
thousand in 2009 to some 740,000 in December 2014. These vehicles are often seen as a …

This study develops a more accurate range prediction for electric vehicles (EVs) resulting in
a routing system that could extend the driving range of EVs through calculating the minimum …