Battery health state identification method
A technology of battery state of health and identification method, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as complex parameter configuration, and achieve the effect of ensuring recognition accuracy, reducing difficulty, and reducing evaluation difficulty
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[0017] Next, the specific implementation method of the present invention will be further elaborated in conjunction with the accompanying drawings.
[0018] Such as figure 1 Shown, the specific implementation process and principle of the present invention are as follows:
[0019] A. Use the power battery system model to extract the terminal voltage, current temperature and SOC raw data of the power battery in each state, and preprocess the raw data;
[0020] B. Perform feature extraction on the preprocessed battery data and perform normalization processing;
[0021] C. Establish a mixed Gaussian distribution model and a single Gaussian distribution model, use the characteristic sequence to initialize and re-estimate the parameters of the hidden semi-Markov model, and determine the hidden semi-Markov model that conforms to each state of the battery;
[0022] D. Collect test data in each state, after feature extraction, input it into the hidden semi-Markov model of each state, ...
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