Research on predicting the state of health of lithium-ion batteries via back propagation network based on multi-feature combination of electrochemical impedance spectroscopy.
- DOI
- 10.1371/journal.pone.0354706
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0354706,
title = {Research on predicting the state of health of lithium-ion batteries via back propagation network based on multi-feature combination of electrochemical impedance spectroscopy.},
author = {Chen F and Sun S and Jia X and Ren Z and Huang X and Shu X and Li J},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0354706},
url = {https://doi.org/10.1371/journal.pone.0354706}
}RIS
TY - JOUR TI - Research on predicting the state of health of lithium-ion batteries via back propagation network based on multi-feature combination of electrochemical impedance spectroscopy. AU - Chen F AU - Sun S AU - Jia X AU - Ren Z AU - Huang X AU - Shu X AU - Li J PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0354706 UR - https://doi.org/10.1371/journal.pone.0354706 ER -
APA
F, C., S, S., X, J., Z, R., X, H., X, S., & J, L. (2026). Research on predicting the state of health of lithium-ion batteries via back propagation network based on multi-feature combination of electrochemical impedance spectroscopy.. PloS one. https://doi.org/10.1371/journal.pone.0354706
Source records
- pubmed · retrieved 2026-09-26T16:23:54.801Z