Machine learning-driven time series analysis for SOH prediction of lithium-ion batteries.

Zhang Y, Bi X, Wang S, Tao B.

Open source

DOI
10.1038/s41598-025-33725-w
Published
2026-04-14
Container
Sci Rep
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-33725-w,
  title = {Machine learning-driven time series analysis for SOH prediction of lithium-ion batteries.},
  author = {Zhang Y and  Bi X and  Wang S and  Tao B.},
  year = {2026},
  journal = {Sci Rep},
  doi = {10.1038/s41598-025-33725-w},
  url = {https://doi.org/10.1038/s41598-025-33725-w}
}

RIS

TY  - JOUR
TI  - Machine learning-driven time series analysis for SOH prediction of lithium-ion batteries.
AU  - Zhang Y
AU  -  Bi X
AU  -  Wang S
AU  -  Tao B.
PY  - 2026
JO  - Sci Rep
DO  - 10.1038/s41598-025-33725-w
UR  - https://doi.org/10.1038/s41598-025-33725-w
ER  - 

APA

Y, Z., X, B., S, W., & B., T. (2026). Machine learning-driven time series analysis for SOH prediction of lithium-ion batteries.. Sci Rep. https://doi.org/10.1038/s41598-025-33725-w

Source records