一种基于电化学阻抗谱的储能电池早期故障预警方法
By constructing a low-frequency modulus pair sequence using electrochemical impedance spectroscopy and calculating the state tag range, combined with a self-updating mechanism, the shortcomings of existing early fault warning methods for energy storage batteries are addressed, enabling real-time monitoring of microscopic changes inside the battery and high-sensitivity fault identification.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Filing Date
- 2026-04-02
- Publication Date
- 2026-07-17
AI Technical Summary
Existing early fault warning methods for energy storage batteries rely on a single physical quantity for judgment, which makes it difficult to accurately capture microscopic changes inside the battery and lacks adaptive adjustment capabilities, leading to misjudgment or missed judgment, thus reducing the timeliness and accuracy of fault warning.
By constructing a method based on electrochemical impedance spectroscopy, a set sequence of low-frequency mode values of energy storage batteries is obtained, the state label range is calculated, and a switching cycle amplitude change index is generated. Combined with preset boundary reference values and a self-updating mechanism, the response changes of the battery are monitored in real time, and potential faults are identified.
It achieves highly sensitive detection and judgment of early faults in energy storage batteries, improves the timeliness and accuracy of fault identification, and avoids early warning delays caused by static threshold settings.
Smart Images
Figure CN121955771B_ABST