ChatGPT-4o, prompted with prior knowledge about normal battery temperature patterns, detects battery thermal anomalies at 86.6% AUC without training, though most trained methods score higher.
Anomaly detection method for lithium-ion battery cells based on time series de- composition and improved manhattan distance algorithm,
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Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge
ChatGPT-4o, prompted with prior knowledge about normal battery temperature patterns, detects battery thermal anomalies at 86.6% AUC without training, though most trained methods score higher.