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1
State of Health Estimation for Li-Ion Battery Using Machine..:
, In:
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
,
Sharma, Riya
;
Bala, Anju
;
Singh, Ashima
. - p. 406-411 , 2023
Link:
https://doi.org/10.1109/MetroXRAINE58569.2023.10405658
RT T1 <cTitle>2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)</cTitle>: T1 <Title>State of Health Estimation for Li-Ion Battery Using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10405658&Exemplar=1&LAN=DE A1 Sharma, Riya A1 Bala, Anju A1 Singh, Ashima A1 Singh, Mukesh YR 2023 K1 Temperature measurement K1 Lithium-ion batteries K1 Estimation K1 Battery management systems K1 Bayes methods K1 Long short term memory K1 Optimization K1 Battery Management System (BMS) K1 Electric Vehicle (EV) K1 State of Health (SOH) K1 Machine Learning K1 Lithium-ion Battery K1 Long Short Term Memory (LSTM) SP 406 OP 411 LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE58569.2023.10405658 DO https://doi.org/10.1109/MetroXRAINE58569.2023.10405658 SF ELIB - SuUB Bremen
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