Alessandro Gaetano Cannatella
An Economic Predictive Control approach for Autonomous EVs in Adaptive Cruise Control scenario.
Rel. Michele Pagone, Stefano Alberto Malan. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2025
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Abstract
Concerns about the effects of climate change have recently driven research across various fields of applications. The automotive transportation sector is one of the most interesting from this point of view: government laws and regulatory policies push the automotive companies to invest in diminishing the emissions of the means of transportation. As matter of facts, the automotive industry has intensified its effort in development of Electric Vehicles (EVs) or Hybrid Electric Vehicles (HEVs) to be compliant with the new era of the transportation sector. Although the EVs represent a promising solution to ensure a more sustainable form of transportation, their limited driving range is a critical aspect, which calls for further investigation.
Despite their higher energy efficiency compared to vehicles equipped with Internal Combustion Engines (ICEs), the storage of electric energy presents greater challenges than conventional fuel storage
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