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1 Ergebnisse
1
Lithium battery health state assessment based on vehicle-to..:
, In:
2023 International Conference on Electronics and Devices, Computational Science (ICEDCS)
,
Zhang, Qian
;
Chen, Xi
;
Wen, Shuang
... - p. 18-23 , 2023
Link:
https://doi.org/10.1109/ICEDCS60513.2023.00010
RT T1 <cTitle>2023 International Conference on Electronics and Devices, Computational Science (ICEDCS)</cTitle>: T1 <Title>Lithium battery health state assessment based on vehicle-to-grid (V2G) real-world data and categorical boosting model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10361625&Exemplar=1&LAN=DE A1 Zhang, Qian A1 Chen, Xi A1 Wen, Shuang A1 Lin, Ni A1 Jin, Yuan A1 Chen, Huimin YR 2023 K1 Lithium-ion batteries K1 Degradation K1 Vehicle-to-grid K1 Machine learning algorithms K1 Estimation K1 Power system stability K1 Data processing K1 Lithium-ion battery K1 Vehicle to grid K1 State of health K1 Data-driven K1 Machine learning SP 18 OP 23 LK http://dx.doi.org/https://doi.org/10.1109/ICEDCS60513.2023.00010 DO https://doi.org/10.1109/ICEDCS60513.2023.00010 SF ELIB - SuUB Bremen
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