Prediction of Lead-acid Battery Capacity Based on Dropout Optimization Algorithm and LSTM

Prediction of Lead-acid Battery Capacity Based on Dropout Optimization Algorithm and LSTM

SHU Zhengyu, ZHAI Erjie, LI Zhenhan, HUANG Zhipeng

PDF(1384 KB)

PDF(1384 KB)

Journal of Power Supply ›› 2023, Vol. 21 ›› Issue (5) : 173-181. DOI: 10.13234/j.issn.2095-2805.2023.5.173

Battery and Energy Storage

Prediction of Lead-acid Battery Capacity Based on Dropout Optimization Algorithm and LSTM

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

Cite this article

Download Citations

{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2023, 21(5): 173-181 https://doi.org/10.13234/j.issn.2095-2805.2023.5.173

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}

{{article.copyrightLicense_en}}

PDF(1384 KB)

Accesses

Citation

Detail

Sections

Recommended

/

〈

〉