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Battery Thermal Runaway Early Warning via Minimal-Frequency Electrochemical Impedance and Machine Learning
This technology provides an early warning system to predict and detect thermal runaway in rechargeable batteries. This system performs minimal-frequency electrochemical impedance spectroscopy (EIS) and then uses a physics-informed machine learning algorithm to process the data and detect thermal runaway before it escalates. The use of machine learning...
Published: 12/8/2025
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Inventor(s): Vitaliy Yurkiv, Seyed Reza Amini Niaki
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Electronics, Technology Classifications > Software & Information Technology, Technology Classifications > Energy, Cleantech & Environmental > Energy Collection, Storage & Battery
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