The high potential of Artificial Intelligence (AI) techniques for effectively solving complex
parameterization tasks also makes them extremely attractive for the design of the Energy …

The energy management of a Hybrid Electric Vehicle (HEV) is a global optimization
problem, and its optimal solution inevitably entails knowing the entire mission profile. The …

Abstract In recent years, Machine Learning (ML) techniques have gained increasing
popularity in several fields thanks to their ability to find hidden and complex relationships …

In a context in which the connectivity level of last-generation vehicles is constantly on the
rise, the combined use of Vehicle-To-Everything (V2X) connectivity and autonomous driving …

Nowadays, there is a growing consensus that hydrogen can play a key role in decarbonizing
Heavy-Duty Vehicle (HDV) fleets as it can be produced from renewable energy sources and …

In 2019, passenger car CO2 emissions peaked at 3.2 billion metric tons globally. Despite
efforts to curb vehicle CO2 emissions and the ambitious targets adopted for greenhouse gas …

Hybrid Electric Vehicles (HEVs) are a prominent solution for reducing CO2 emissions from
transport in Europe. They are equipped with at least two propulsion energy converters, an …

This work presents a straightforward solution to estimate the state of charge (SOC) of battery-
packs used to supply low voltage electric drives integrated in hybrid and electric vehicles …

Thanks to its superior learning capabilities and its model-free nature, Reinforcement
Learning (RL) is increasingly regarded as an effective solution for addressing complex …

The connectivity level of last-generation vehicles is constantly on the rise. The combined use
of Vehicle-To-Everything (V2X) connectivity and autonomous driving can provide …