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1 Ergebnisse
1
Accuracy Comparison of State-of-Health Estimation for Lithi..:
, In:
2023 IEEE 14th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
,
Li, Xingjun
;
Yu, Dan
;
Vilsen, Soren Byg
. - p. 584-590 , 2023
Link:
https://doi.org/10.1109/PEDG56097.2023.10215152
RT T1 <cTitle>2023 IEEE 14th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)</cTitle>: T1 <Title>Accuracy Comparison of State-of-Health Estimation for Lithium-ion Battery Based on Forklift Aging Profile</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10215152&Exemplar=1&LAN=DE A1 Li, Xingjun A1 Yu, Dan A1 Vilsen, Soren Byg A1 Store, Daniel-Ioan YR 2023 SN 2329-5767 K1 Lithium-ion batteries K1 Estimation K1 Voltage K1 Maintenance engineering K1 Feature extraction K1 Power electronics K1 Reliability K1 lithium-ion battery K1 state of health estimation K1 multiple linear regression K1 forklift load profile SP 584 OP 590 LK http://dx.doi.org/https://doi.org/10.1109/PEDG56097.2023.10215152 DO https://doi.org/10.1109/PEDG56097.2023.10215152 SF ELIB - SuUB Bremen
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