Early-stage anomaly discrimination in lithium-ion batteries using internal pressure-temperature coupling and...

Area of Science:

• Battery safety engineering
• Materials science
• Electrochemistry

Background:

• Lithium-ion batteries pose significant safety risks due to thermal runaway.
• Current detection methods are often reactive, triggering alarms after failures begin.
• Early discrimination of chemical instabilities is crucial for advanced battery management.

Purpose of the Study:

• To develop a proactive anomaly discrimination framework for lithium-ion batteries.
• To differentiate early-stage battery failures using temperature and pressure coupling.
• To enhance the safety and reliability of battery systems through early warning capabilities.

Main Methods:

• Development of a framework based on temperature-and-pressure coupling for anomaly detection.
• Formulation of an empirical pressure-temperature curve to model normal battery behavior.
• Evaluation on a diverse dataset of lithium iron phosphate batteries (52 and 300 Ah).

Main Results:

• The temperature-and-pressure model achieved high precision in capturing normal battery behaviors (>97% accuracy).
• The model demonstrated robust early-state separation with low false negative and false positive rates.
• Excluding pressure data significantly increased false negative and false positive rates, highlighting pressure's importance.

Conclusions:

• The developed temperature-and-pressure coupling framework enables earlier and potentially transferable warnings for battery failures.
• This proactive approach is suitable for integration into battery management systems, improving overall safety.
• The study underscores the critical role of pressure monitoring in conjunction with temperature for effective early-stage battery failure detection.