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1 Ergebnisse
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A flexible machine learning based framework for state of ch..:
, In:
2022 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)
,
Stighezza, Mattia
;
Bianchi, Valentina
;
Toscani, Andrea
. - p. 111-115 , 2022
Link:
https://doi.org/10.1109/MetroAutomotive54295.2022.9855..
RT T1 <cTitle>2022 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)</cTitle>: T1 <Title>A flexible machine learning based framework for state of charge evaluation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9855050&Exemplar=1&LAN=DE A1 Stighezza, Mattia A1 Bianchi, Valentina A1 Toscani, Andrea A1 De Munari, Ilaria YR 2022 K1 Training K1 Temperature measurement K1 Support vector machines K1 Voltage measurement K1 Mathematical models K1 Discharges (electric) K1 Data models K1 state-of-charge (SOC) estimation K1 Machine Learning (ML) K1 Support Vector Machine (SVM) SP 111 OP 115 LK http://dx.doi.org/https://doi.org/10.1109/MetroAutomotive54295.2022.9855050 DO https://doi.org/10.1109/MetroAutomotive54295.2022.9855050 SF ELIB - SuUB Bremen
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