| KEYWORD |
State of Charge and State of Health Estimation for EV Batteries
Tesi esterna in azienda
Parole chiave BATTERY MANAGEMENT SYSTEM, DATA-DRIVEN MODELLING, ELECTRIC VEHICLE
Riferimenti DANIELA ANNA MISUL, EZIO SPESSA
Riferimenti esterni MIRETTI Federico
Gruppi di ricerca PT-ERC
Tipo tesi RICERCA APPLICATA
Descrizione The first objective of the thesis is to develop a Dual Unscented Kalman Filter for the estimation of both state of charge and state of health of an EV battery cell, based on available experimental data. In a second step, you will explore methods to augment the data available to the filter with a data-driven model, in a hybrid approach.
Vedi anche ukf 2024-04-16 06_22_19.pdf
Conoscenze richieste Matlab/Simulink, fundamentals of thermal machines, fundamentals of energy system control
Note In the application, include your cv and the list of exams with score
Scadenza validita proposta 16/04/2025
PROPONI LA TUA CANDIDATURA