Daniel Luciano Boeckelen
Battery ageing estimation with Artificial Intelligence.
Rel. Eros Gian Alessandro Pasero, Vincenzo Randazzo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2022
Abstract
With the gradual introduction of electric vehicles (e-vehicles) in the market, climate change could be reduced. The goal is to make these vehicles more efficient than traditional fuel ones in such a way that in the future they could completely replace the old technology. One of the main components of an electric vehicle is the rechargeable battery, and lithium-ion ones have been proven as the most efficient available, nowadays. A lot of research has been done to boost performances of this type of battery especially in terms of energy consumption or in other words how many kilometers the vehicle is able to travel with respect to one single full charge.
However, one problem that lithium-ion batteries face is that, for this technology, it does not exist an equivalent of a fuel level measurement unit; therefore, it is only possible to estimate the remaining charge
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