Citation notice #7915 · 2026-07-31 00:17:33.496166+00:00
Charging Phase Health Indicators for Battery State-of-Health Estimation: A Systematic Comparison of CC, CV, and Combined Approaches under Cross-Battery Validation
Correction
Crossref
Open
cites Predicting the state of charge and health of batter ies using data-driven machine learni ng, which carries a correction notice dated 2020-06-15. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
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01Evidence
Raw extraction · bibliography line · bibliography index 18
Ng M F, Zhao J, Yan Q, Conduit G J, Seh Z W. Predicting the state of charge and health of batter ies using data-driven machine learni ng. Nature Machine Intelligence 2020; 2: 161–170. https://doi.org/10.1038/s42256-020-0156-7
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1038/s42256-020-0156-7
- Notice DOI
- 10.1038/s42256-020-0191-4
- Date
- 2020-06-15
- Title
- Author Correction: Predicting the state of charge and health of batteries using data-driven machine learning
- Reasons
- ['Correction']
- Work
- Predicting the state of charge and health of batter ies using data-driven machine learni ng (2020) Nature Machine Intelligence
03Dispute this notice
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