|Tipo di tesi||Tesi di laurea magistrale|
|Titolo||Combined Simulation of Electrical and Ageing Behaviour of Li-Ion Automotive Batteries|
|Titolo in inglese|
|Struttura||Dipartimento di Ingegneria "Enzo Ferrari"|
|Corso di studi||Advanced Automotive Engineering (D.M.270/04)|
|Data inizio appello||2021-04-15|
|Disponibilità||Accessibile via web (tutti i file della tesi sono accessibili)|
Nowadays, with the development and diffusion of Electric vehicles, batteries are representing one of the biggest barrier to overcome from a cost , safety and performance point of views. The thesis provides a study on the development of algorithms which estimates the degradation rate of a battery cell undergoing an extensive aging campaign which last more than 2 years. As the cell is progressively used , different degradation mechanisms might take place. Power and Energy fade together with loss of reliability and safety are the main consequences of cell degradation. In particular, the aging model estimates the resistance increase and capacity loss as function of the cell-working condition. It has been performed in MATLAB by data fitting the results obtained from the experiments using optimization algorithms such as Levenberg-Marquardt. Also a Thermal and Electrical Models are created in Simulink with the aim to estimate the cell working condition of Temperature and SOC from an input current profile. In order to understand the goodness of the model , everything has been validated using a real driving cycle where the resistance increase and capacity loss obtained from the Simulink model are compared with the real data.