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1 Ergebnisse
1
Comparative study of machine learning techniques for the st..:
, In:
13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2022)
,
Eleftheriadis, P.
;
Leva, S.
;
Valdes Rey, A.
... - p. None , 2022
Link:
https://doi.org/10.1049/icp.2023.0011
RT T1 <cTitle>13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2022)</cTitle>: T1 <Title>Comparative study of machine learning techniques for the state of health estimation of Li-Ion batteries</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10137654&Exemplar=1&LAN=DE A1 Eleftheriadis, P. A1 Leva, S. A1 Valdes Rey, A. A1 Gangi, M. A1 Groppo, E. A1 Grande, L. YR 2022 K1 battery powered vehicles K1 feature selection K1 fossil fuels K1 learning (artificial intelligence) K1 lithium compounds K1 power engineering computing K1 Li-ion batteries K1 LiJk/int K1 LiJkJk/int K1 lithium-ion batteries K1 machine learning techniques K1 SOH K1 state of health K1 vehicle electrification SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.0011 DO https://doi.org/10.1049/icp.2023.0011 SF ELIB - SuUB Bremen
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