Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on the 1D CNN-BLSTM Neural Network

Lithium-ion batteries are currently widely employed in a variety of applications. Precise estimation of the remaining useful life (RUL) of lithium-ion batteries holds significant function in intelligent battery management systems (BMS). Therefore, in order to increase the fidelity and stabilization...

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Bibliografiset tiedot

Päätekijät:	Jianhui Mou, Qingxin Yang, Yi Tang, Yuhui Liu, Junjie Li, Chengcheng Yu
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-04-01
Sarja:	Batteries
Aiheet:	prediction of RUL lithium-ion batteries 1D CNN BLSTM hybrid method
Linkit:	https://www.mdpi.com/2313-0105/10/5/152
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