Lithium-ion battery life prediction method based on integrated model
A lithium-ion battery, life prediction technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of poor stability and low applicability of lithium-ion battery life prediction, and achieve the effect of improving applicability and stability
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[0038] The specific embodiment one, based on the integrated model lithium-ion battery life prediction method, it is realized by the following steps:
[0039] Step 1. Preprocess the test data of the battery cycle charge and discharge test, and obtain the equal pressure drop time series as the input data set and the lithium-ion battery remaining capacity sequence as the output data set; divide the original data set into the training data set Train dataset and the test data set Dataset Test dataset;
[0040] Step 2, using the Bagging algorithm to perform secondary resampling on the training data set Train dataset to obtain T new training sets;
[0041] Step 3, establishing a monotone echo state network model, in which the input dimension is L, the reserve pool size is N and the output dimension is M; L, N and M are all positive integers;
[0042] Step 4, initialize the internal connection weights of the monotone echo state network, repeat step 41 to step 43 T times, and obtain T...
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