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1 Ergebnisse
1
Lithium-ion battery state of health estimation with recurre..:
, In:
11th International Conference on Power Electronics, Machines and Drives (PEMD 2022)
,
Jiang, B.
;
Liu, Y.
;
Tang, J.
- p. None , 2022
Link:
https://doi.org/10.1049/icp.2022.1097
RT T1 <cTitle>11th International Conference on Power Electronics, Machines and Drives (PEMD 2022)</cTitle>: T1 <Title>Lithium-ion battery state of health estimation with recurrent convolution neural networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9868599&Exemplar=1&LAN=DE A1 Jiang, B. A1 Liu, Y. A1 Tang, J. YR 2022 K1 battery management systems K1 learning (artificial intelligence) K1 power engineering computing K1 recurrent neural nets K1 secondary cells K1 convolutional neural nets K1 feedforward neural network K1 lithium-ion battery state of health estimation K1 recurrent convolution neural networks K1 lithium-ion batteries K1 machine learning K1 battery data K1 SOH estimation structure K1 convolution layers SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.1097 DO https://doi.org/10.1049/icp.2022.1097 SF ELIB - SuUB Bremen
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