2026-09-21T05:36:37Zhttps://iris.polito.it/oai/requestoai:iris.polito.it:11583/30029952026-03-16T09:44:31Zcom_11583_2614433com_11583_2614425col_11583_2614423
Innovative AI-Enabled Digital Twins for Smart Battery Management: Enhancing Battery Life and Performance in Smart Vehicles
ALAMIN, KHALED SIDAHMED SIDAHMED
Alamin, Khaled Sidahmed Sidahmed
VINCO, SARA
Digital Twin
Data Driven
Battery Management System (BMS)
Electrical Vehicle (EV)
Feature Engineering
Data Segmentation
Driving Pattern
Deployment
Footprint
Sustainability
Settore IINF-05/A - Sistemi di elaborazione delle informazioni
L'abstract è presente nell'allegato / the abstract is in the attachment
2025-09-09
info:eu-repo/semantics/doctoralThesis
https://hdl.handle.net/11583/3002995
http://dx.doi.org/10.13121/polito/porto/3002995
10.13121/polito/porto/3002995
eng
firstpage:1
lastpage:178
numberofpages:178
info:eu-repo/semantics/openAccess
Politecnico di Torino
country:Italy
license:Creative commons
license:Creative commons
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/