Lithium ion battery fault early warning method and system based on vibration signals
A lithium-ion battery, vibration signal technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of lithium-ion battery temperature rise, battery thermal abuse, battery mechanical abuse, etc., to achieve convenient equipment connection, The effect of improving accuracy problems and improving sensitivity
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Embodiment 1
[0041] Based on the above analysis, the present invention provides a lithium-ion battery fault early warning method based on vibration signals, such as Figure 10 As shown, the vibration signal of the lithium-ion battery in the running state is collected; the collected vibration signal is Fourier transformed to obtain the frequency spectrum of the vibration signal; the main frequency of the vibration signal is obtained from the frequency spectrum of the vibration signal, according to the vibration The change of the main frequency of the signal starts the early warning; specifically: compare the main frequency of the vibration signal with the frequency setting value, when the main frequency of the vibration signal exceeds the frequency setting value, start the early warning; the main frequency of the battery in normal operation is mainly Focus on the low frequency band of 0Hz to 150Hz. The specific frequency value needs to be measured and reviewed according to the specific condi...
Embodiment 2
[0043] The present invention also provides a lithium-ion battery failure early warning system based on vibration signals, including a vibration acceleration sensor, which collects the vibration signal of the lithium-ion battery, and transmits the vibration signal to a dynamic signal test analyzer, a dynamic signal test analyzer The time domain data of the vibration signal is transmitted to the host computer, and the host computer extracts the main frequency of the vibration signal from the time domain data of the vibration signal and compares it with the frequency setting value. When the main frequency of the vibration signal exceeds the frequency setting value, Start the early warning; the host computer extracts the frequency band where the energy peak of the vibration signal is located from the time domain data of the vibration signal, and when the frequency band where the energy peak of the vibration signal exceeds the set value of the frequency band, the early warning is act...
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