When Fusion Hurts: Diagnosing Base-Detector Admissibility in Hybrid Machine-Learning Anomaly Detection for Electric-Vehicle Battery CAN Telemetry
Fixed-threshold battery management systems can miss faults that appear across several signals at once, which has encouraged the use of hybrid machine-learning detectors for electric-vehicle (EV) batteries. This study examines when combining such detectors actually improves anomaly detection. Using a public EV Battery C...