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A Novel Machine Learning Algorithm for State of Health Pred..:

, In: 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE),

Battaglia, Filippo ; Campobello, Giuseppe ; Aloisio, Davide... - p. 822-827 , 2023

Link: https://doi.org/10.1109/MetroXRAINE58569.2023.10405755

RT 
T1 <cTitle>2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)</cTitle>: T1 <Title>A Novel Machine Learning Algorithm for State of Health Prediction of Lithium-Ion Batteries</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10405755&Exemplar=1&LAN=DE
				
A1 Battaglia, Filippo
A1 Campobello, Giuseppe
A1 Aloisio, Davide
A1 Leonardi, Salvatore Gianluca
A1 Gugliandolo, Giovanni
A1 Brunaccini, Giovanni
A1 Sergi, Francesco
A1 Donato, Nicola
YR 2023
K1 Lithium-ion batteries
K1 Impedance measurement
K1 Atmospheric measurements
K1 Predictive models
K1 Particle measurements
K1 Integrated circuit modeling
K1 Random forests
K1 Terms-Battery Management System (BMS)
K1 Electrochemical Impedance Spectroscopy (EIS)
K1 Machine Learning
K1 Random Forest
K1 Battery State of Health
SP 822
OP 827
LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE58569.2023.10405755
DO https://doi.org/10.1109/MetroXRAINE58569.2023.10405755
SF ELIB - SuUB Bremen

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