CHIANESE, GIOVANNI
CHIANESE, GIOVANNI
Istituto di Scienze e Tecnologie per l'Energia e la Mobilità Sostenibili - STEMS
Real-time estimation of battery SoC through neural networks trained with model-based datasets: Experimental implementation and performance comparison
2025 Chianese, G.; Iannucci, L.; Veneri, O.; Capasso, C.
Estimation of the State of Charge/Health of Electric Vehicle Batteries Through Machine Learning Approach
2024 Capasso, Clemente; Chianese, Giovanni; Veneri, Ottorino; Patalano, Stanislao; Vitolo, Ferdinando
Investigations of weld profiling and intermetallic formation in laser welding of steel-To-Aluminium: A multi-physics CFD approach using beam shaping
2024 Jabar, S.; Hayat, Q.; Baghbani Barenji, A.; Chianese, G.; Kotadi, H. R.; Ceglarek, D.; Franciosa, P.
Soc Estimation Using a Neural Network Trained with Model-Based Dataset Implemented in Ground Electric Vehicles BMS
2024 Chianese, Giovanni; Iannucci, Luigi; Veneri, Ottorino; Capasso, Clemente
A multi-physics CFD study to investigate the impact of laser beam shaping on metal mixing and molten pool dynamics during laser welding of copper to steel for battery terminal-to-casing connections
2023 Chianese, G.; Hayat, Q.; Jabar, S.; Franciosa, P.; Ceglarek, D.; Patalano, S.
A multi-physics CFD study on the part-to-part gap during remote laser welding of copper-to-steel battery tab connectors with beam wobbling
2022 Chianese, Giovanni; Jabar, Sharhid; Franciosa, Pasquale; Ceglarek, Dariusz; Patalano, Stanislao
Characterization of Photodiodes for Detection of Variations in Part-to-Part Gap and Weld Penetration Depth During Remote Laser Welding of Copper-to-Steel Battery Tab Connectors
2022 Chianese, G.; Franciosa, P.; Nolte, J.; Ceglarek, D.; Patalano, S.
Using photodiodes and supervised machine learning for automatic classification of weld defects in laser welding of thin foils copper-to-steel battery tabs
2022 Chianese, G.; Franciosa, P.; Sun, T.; Ceglarek, D.; Patalano, S.