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Research on Estimation of State of Charge of Lithium-Ion Ba..:
, In:
2021 IEEE Sustainable Power and Energy Conference (iSPEC)
,
Zhu, Weiping
;
Ling, Chao
;
Yuan, Xiaodong
... - p. 1348-1354 , 2021
Link:
https://doi.org/10.1109/iSPEC53008.2021.9735651
RT T1 <cTitle>2021 IEEE Sustainable Power and Energy Conference (iSPEC)</cTitle>: T1 <Title>Research on Estimation of State of Charge of Lithium-Ion Battery</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9735651&Exemplar=1&LAN=DE A1 Zhu, Weiping A1 Ling, Chao A1 Yuan, Xiaodong A1 Shi, Mingming A1 Miao, Huiyu A1 Lu, Xiaotian YR 2021 K1 Training K1 Resistance K1 Technological innovation K1 Parameter estimation K1 Voltage K1 Electric vehicles K1 Data models K1 lithium battery K1 state of charge K1 recursive least squares algorithm K1 weighted multi-innovation K1 adaptive extended Kalman filter SP 1348 OP 1354 LK http://dx.doi.org/https://doi.org/10.1109/iSPEC53008.2021.9735651 DO https://doi.org/10.1109/iSPEC53008.2021.9735651 SF ELIB - SuUB Bremen
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