| KEYWORD |
SOC and SOH estimation for EVs
keywords BATTERY MANAGEMENT SYSTEM
Reference persons FEDERICO MIRETTI, DANIELA ANNA MISUL
Research Groups PT-ERC
Thesis type NUMERICAL AND DESIGN ORIENTED
Description Develop aDual Kalman Filter for combined state of charge and state of health estimation in EV batteries.
Develop a hybrid approach to SOC and SOH estimation with data-driven data augmentation.
Learn the fundamentals of state estimation for battery management systems.
Required skills Matlab, Simulink
Deadline 16/10/2025
PROPONI LA TUA CANDIDATURA