AI RESEARCH
Causal Anomaly Detection for Lithium-Ion Battery Degradation
arXiv CS.LG
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ArXi:2605.17334v1 Announce Type: cross Reliable early detection of lithium-ion battery degradation requires health indicators that are physically interpretable and computable from routine cycler telemetry without access to the degradation region. We