Electrical Vehicles use AI to predict the state of charge of Li-batteries
Bluewind congratulates with Izza Sadaf, who recently completed her Master Thesis with Professor Mattia Zorzi of Dipartimento di Ingegneria dell’Informazione (DEI) – Università degli Studi di Padova
The experimental work was supported by Bluewind and tutors Stefano Costa , Pietro Montino, and based on AI technologies by STMicroelectronics, with Danilo Pietro Pau.
This achievement shows an innovative battery management system for the estimation of the state of charge of Li-batteries of electric vehicles using a data-driven approach. The neural network was designed to fit the memory constraints of the automotive embedded platform from ST.
Congratulations Izza for this scientific achievement.