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Methods for Fault Detection in Chemical Energy Storage Batteries

Time:2025-10-14 Views:1


Fault detection in chemical energy storage batteries is of utmost importance to ensure the safety, reliability, and performance of battery systems. One of the common methods is electrical parameter monitoring. By continuously measuring parameters such as voltage, current, and resistance of battery cells and packs, abnormal changes can be detected. For example, a sudden drop in cell voltage may indicate a short - circuit or internal damage, while an abnormal increase in internal resistance could suggest degradation of the battery's electrochemical performance. Advanced data analysis techniques, such as statistical analysis and trend prediction, are often used to process the monitored electrical data and identify potential faults at an early stage.

Thermal monitoring is another crucial approach for fault detection. Chemical energy storage batteries generate heat during operation, and abnormal heat generation can be a sign of impending failure. Temperature sensors are installed at various points within the battery system to monitor the temperature distribution. If a significant temperature difference or an abnormal increase in temperature is detected, it may indicate issues such as uneven charging, internal short - circuits, or thermal runaway. Infrared thermography can also be used to visually detect hotspots on battery surfaces, providing a non - invasive method for fault diagnosis.

In addition, chemical analysis methods can be employed to detect faults. Analyzing the composition and properties of battery electrolytes, electrodes, and other components can reveal signs of degradation or chemical reactions that may lead to failures. For example, gas chromatography can be used to analyze the gases generated within the battery, which can provide valuable information about the battery's internal state. Combining multiple fault - detection methods, such as electrical parameter monitoring, thermal monitoring, and chemical analysis, can improve the accuracy and reliability of fault detection, enabling timely maintenance and replacement of faulty battery components to ensure the safe and efficient operation of chemical energy storage battery systems.

 

 

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