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1 Ergebnisse
1
Estimating Lithium-Ion Battery State of Health with Least S..:
, In:
2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)
,
ArulKumar, K.
;
Gowthami, R.
;
Kumar Arapirala, Venkata Pavan
.. - p. 1-7 , 2024
Link:
https://doi.org/10.1109/ic-ETITE58242.2024.10493768
RT T1 <cTitle>2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)</cTitle>: T1 <Title>Estimating Lithium-Ion Battery State of Health with Least Squares Approach for Accurate Assessment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10493768&Exemplar=1&LAN=DE A1 ArulKumar, K. A1 Gowthami, R. A1 Kumar Arapirala, Venkata Pavan A1 Ramanathan, P. A1 Arun, V. YR 2024 K1 Lithium-ion batteries K1 Renewable energy sources K1 Fitting K1 Estimation K1 Battery management systems K1 Predictive models K1 Mathematical models K1 Battery management systems (BMS) K1 least square approach K1 State of health (SoH) K1 Lithium-ion SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ic-ETITE58242.2024.10493768 DO https://doi.org/10.1109/ic-ETITE58242.2024.10493768 SF ELIB - SuUB Bremen
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