Reference change · event page

Predicting the state of charge and health of batter ies using data-driven machine learni ng

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Correction Crossref 1 open · 1 total · 0 disputed

DOI: 10.1038/s42256-020-0156-7
Notice DOI: 10.1038/s42256-020-0191-4
Event date: 2020-06-15
Machine twin: JSON

01One-hop citing occurrences

Correction Open

Charging Phase Health Indicators for Battery State-of-Health Estimation: A Systematic Comparison of CC, CV, and Combined Approaches under Cross-Battery Validation

ref [18] · 2607.23482 · notice #7915 · dispute

Raw extraction · bibliography line

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

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