Research on indirect prediction of lithium battery RUL based on CNN-LSTM

CHEN Ciyang; CHEN Dewang

doi:10.3969/j.issn.1002-087X.2021.05.009

PDF(875 KB)

Chinese Journal of Power Sources ›› 2021, Vol. 45 ›› Issue (5) : 589-594. DOI: 10.3969/j.issn.1002-087X.2021.05.009

Research and design

Research on indirect prediction of lithium battery RUL based on CNN-LSTM

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

Abstract

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2021, 45(5): 589-594 https://doi.org/10.3969/j.issn.1002-087X.2021.05.009

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

Funding

RIGHTS & PERMISSIONS

PDF(875 KB)

Accesses

Citation

Detail

Sections

Recommended

Received	Published
2020-10-21	2021-05-20
Issue Date
2024-10-24

Please choose a citation manager

Content to export