Giuseppe Cavaleri
An on-edge Machine Learning model to estimate State-of-Health in Electric Vehicle Batteries.
Rel. Edoardo Patti, Alessandro Aliberti. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2025
Abstract
In recent years, the electric vehicle (EV) market has experienced a significant expansion, with the aim of meeting the needs of decarbonization and transitioning to sustainable mobility. With advancements in EV technology, there is a growing use of more sophisticated application methods, including better control systems and advanced sensing technologies. One of the most important components of an electric vehicle is represented by the high-voltage lithium-ion battery pack, which serves as the primary energy source for the entire system. While lithium-ion batteries are a good option for their efficiency and high energy storage capacity, their performance decreases over time due to ageing.
A key challenge in battery management is the accurate estimation of the State of Health (SOH), which is essential to ensure reliability, safety and effective functionality
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