Integrating data-driven and mechanistic insights: Interpretable multi-step forecasting for PEMFC performance degradation

LIU Wenxu; YU Yang; HE Chao; LU Hexiang; BAO Guangyuan; LOU Haojie; GONG Wei; KUANG Ziyin; LI Jiaqiang

doi:10.3969/j.issn.1002-087X.2026.09.027

LIU Wenxu, YU Yang, HE Chao, LU Hexiang, BAO Guangyuan, LOU Haojie, GONG Wei, KUANG Ziyin, LI Jiaqiang

Chinese Journal of Power Sources ›› 2026, Vol. 50 ›› Issue (9) : 1865-1876.

PDF(5591 KB)

Chinese Journal of Power Sources ›› 2026, Vol. 50 ›› Issue (9) : 1865-1876. DOI: 10.3969/j.issn.1002-087X.2026.09.027

Advances in artificial intelligence-driven battery management technology

Integrating data-driven and mechanistic insights: Interpretable multi-step forecasting for PEMFC performance degradation

{{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}}, 2026, 50(9): 1865-1876 https://doi.org/10.3969/j.issn.1002-087X.2026.09.027

References

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

References

Funding

RIGHTS & PERMISSIONS

PDF(5591 KB)

Accesses

Citation

Detail

Sections

Recommended

Received	Published
2026-04-13	2026-09-20
Issue Date
2026-09-28

Please choose a citation manager

Content to export