Accurate estimations and assessments of vehicle emissions can support decision-making
processes. Current emission estimation tools involve several calculation methods that …

Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving
their fuel economy. This paper provides a comprehensive review of data-driven fuel …

This publication presents a multi-faceted analysis of the fuel consumption of motor vehicles
and the way human impacts the environment, with a particular emphasis on the passenger …

Abstract Series hybrid electric vehicles are the intermediate technology between gasoline-
powered vehicles and full electric vehicles to suppress the emission and global warming …

The multimode power-split architecture for hybrid electric vehicle (HEV) powertrains is
generally known for the complexity of its operation. This paper first addresses the challenge …

Recently, deep learning has played an important role in the rise of artificial intelligence, and
its accuracy has gained recognition in various research fields. Although engine phenomena …

Hybrid electric vehicles (HEVs) represent a fundamental step in the global evolution towards
transportation electrification. Nevertheless, they exhibit a remarkably complex design …

In the present study, the predictive tool based on an artificial neural network is developed by
means of the experimental data of two series hybrid electric vehicles. The experiments have …

The transportation sector contributes significantly to emissions and air pollution globally.
Emission models of modern vehicles are important tools to estimate the impact of …

Under the severe challenge of increasingly stringent emission regulations and constantly
improving fuel economy requirements, hybrid electric vehicles (HEVs) have attracted …