Battery anomaly prediction system, battery anomaly prediction method, and battery anomaly prediction program
The battery abnormality prediction system addresses the challenge of detecting abnormal heat generation in batteries by using current and temperature data to predict ignition risks, ensuring early detection and prevention of thermal runaway.
Patent Information
- Authority / Receiving Office
- JP Β· JP
- Patent Type
- Patents
- Current Assignee / Owner
- PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD
- Filing Date
- 2022-05-16
- Publication Date
- 2026-05-22
AI Technical Summary
Existing methods for detecting abnormal heat generation in batteries struggle to accurately identify signs of overheating, especially when charging patterns deviate from normal conditions or when temperature changes are gradual, leading to potential overlooking of early signs of abnormal heat generation.
A battery abnormality prediction system that acquires current and temperature data from batteries and predicts abnormality based on the relationship between current flow and temperature rise over a certain period, using a judgment score calculated from thermal energy principles, allowing for early detection of ignition risks by comparing against thresholds set from ignition data.
Enables early detection of abnormal overheating in batteries, irrespective of charging patterns, by considering both current and temperature dynamics, thus preventing thermal runaway.
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