The paper introduces MagBridge-Battery, a leakage-free synthetic dataset bridging magnetic morphology with SOH labels to support regression, classification, and anomaly detection benchmarks for Li-ion battery diagnostics.
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MagBridge-Battery: A Synthetic Bridge Dataset for Li-ion Magnetometry and State-of-Health Diagnostics
The paper introduces MagBridge-Battery, a leakage-free synthetic dataset bridging magnetic morphology with SOH labels to support regression, classification, and anomaly detection benchmarks for Li-ion battery diagnostics.