Short-time feature extraction structure.

<div><p>As the primary power source for electric vehicles, the accurate estimation of the State of Health (SOH) of lithium-ion batteries is crucial for ensuring the reliable operation of the power system. Long Short-Term Memory (LSTM), a special type of recurrent neural network, achieves...

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Bibliographic Details
Main Author:	Gengchen Xu (20477357) (author)
Other Authors:	Jingyun Xu (6812729) (author), Yifan Zhu (417526) (author)
Published:	2024
Subjects:	Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified significant dynamic variations recurrent neural network experimental results demonstrate primary power source temporal attention mechanism soh estimation accuracy temporal attention power system gating mechanism temporal features based estimation accurate estimation xlink "> term memory special type reliable operation paper proposes long short like nonlinearity ion batteries input features initially gradual estimate capacity electric vehicles different datasets degradation sequence capacity regeneration actual capacity
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Short-time feature extraction structure.

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