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1 Ergebnisse
1
State of health estimation of Lithium-ion batteries: A revi..:
, In:
2023 XXXII International Scientific Conference Electronics (ET)
,
Stoyanova, Diana V.
;
Stoyanova-Petrova, Silviya V.
;
Vakrilov, Nikolay V.
.. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ET59121.2023.10279026
RT T1
2023 XXXII International Scientific Conference Electronics (ET)
: T1
State of health estimation of Lithium-ion batteries: A review of data-driven methods
UL https://suche.suub.uni-bremen.de/peid=ieee-10279026&Exemplar=1&LAN=DE A1 Stoyanova, Diana V. A1 Stoyanova-Petrova, Silviya V. A1 Vakrilov, Nikolay V. A1 Mileva, Nevena S. A1 Mengov, Veselin Z. YR 2023 K1 Lithium-ion batteries K1 Systematics K1 Computational modeling K1 Estimation K1 Machine learning K1 Predictive models K1 Stability analysis K1 deep learning K1 lithium-ion batteries K1 machine learning K1 state of health SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ET59121.2023.10279026 DO https://doi.org/10.1109/ET59121.2023.10279026 SF ELIB - SuUB Bremen
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