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1 Ergebnisse
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A novel parameters identification method of Lithium-ion bat..:
, In:
2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
,
Pai, Hung-Yu
;
Liu, Yi-Hua
;
Chen, Guan-Jhu
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.101..
RT T1 <cTitle>2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)</cTitle>: T1 <Title>A novel parameters identification method of Lithium-ion battery equivalent circuit model under dynamic stress test</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10194649&Exemplar=1&LAN=DE A1 Pai, Hung-Yu A1 Liu, Yi-Hua A1 Chen, Guan-Jhu A1 Rasolomampionona, Desire A1 Brescia, Elia A1 De Tuglie, Enrico YR 2023 K1 Lithium-ion batteries K1 Adaptation models K1 Parameter estimation K1 Heuristic algorithms K1 Voltage K1 Prediction algorithms K1 Mathematical models K1 Equivalent circuit model K1 Recursive least square K1 Adaptive forgetting factor K1 Battery management system SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194649 DO https://doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194649 SF ELIB - SuUB Bremen
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