MagBridge-Battery: A Synthetic Bridge Dataset for Li-ion Magnetometry and State-of-Health Diagnostics

MagBridge-Battery v1.0 is the first dataset to bridge two previously disconnected worlds of battery research: magnetic-field sensing and electrochemical state-of-health diagnostics.

Magnetometry is a promising route to non-invasive, contactless battery diagnostics, but progress has been bottlenecked by a structural gap in the available data — the largest open magnetometry archives carry no electrochemical health labels, while the richest state-of-health (SOH) datasets carry no magnetic signatures. MagBridge-Battery closes that gap. Using a bridging procedure that conditions the Mohammadi–Jerschow OSF magnetometry archive on electrochemical labels from the PulseBat dataset, it produces 6,760 labeled magnetic-field signatures for lithium iron phosphate (LFP) cells — enabling machine-learning research on magnetic battery diagnostics that was not previously possible at scale.

The release contains 5,600 PulseBat-conditioned grounded samples, 600 synthetic sensor-anomaly samples derived from clean parents (four subtypes: sensor_dropout, calibration_drift, temporal_warp, periodic_interference), and 560 low-voltage Regime-B extrapolation samples. A cell-disjoint, parent-child-leakage-free primary benchmark split is verified to contain zero overlapping cells, zero cross-split parent-child pairs, and zero sample-ID overlap. Four benchmark tasks are defined: SOH regression, second-life classification (cutoff SOH = 0.85), three-class anomaly detection, and four-class anomaly subtype classification.

Bridge validity is established through structural sanity invariants, distributional KS tests at grounded anchors, and a controlled label-shuffle ablation that collapses SOH regression from R² ≈ 0.77 to R² ≈ 0 — confirming that the bridge encodes input SOH non-trivially rather than producing label-aligned artifacts.

Users are kindly requested to cite both this dataset DOI and the associated paper (see CITING.md in the bundle). Code, paper source, and reference implementations are available on GitHub at https://github.com/SakthiGs/MagBridge-Battery.

ARXIV: https://arxiv.org/abs/2605.20240