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1
Estimating Battery State of Health using Machine Learning:
, In:
2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)
,
Arif, Ameera
;
Hassaan, Muhammad
;
Abdullah, Mujahid
.. - p. 72-77 , 2022
Link:
https://doi.org/10.1109/ICSGCE55997.2022.9953596
RT T1 <cTitle>2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)</cTitle>: T1 <Title>Estimating Battery State of Health using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9953596&Exemplar=1&LAN=DE A1 Arif, Ameera A1 Hassaan, Muhammad A1 Abdullah, Mujahid A1 Nadeem, Ahmad A1 Arshad, Naveed YR 2022 SN 2688-0857 K1 Temperature measurement K1 Temperature sensors K1 Support vector machines K1 Transportation K1 Artificial neural networks K1 Predictive models K1 Electric vehicles K1 Electric Vehicles K1 Battery degradation K1 Green Energy K1 State of Health K1 NMC cell K1 data-driven models K1 Artificial neural network (ANN) SP 72 OP 77 LK http://dx.doi.org/https://doi.org/10.1109/ICSGCE55997.2022.9953596 DO https://doi.org/10.1109/ICSGCE55997.2022.9953596 SF ELIB - SuUB Bremen
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