Rapid lithium battery capacity degradation early warning method
A lithium battery and capacity technology, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problems of waste of test costs, time-consuming, and termination of tests, etc., and achieve the effect of stable calculation results
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[0061] In practice, lithium-ion battery capacity degradation data contains a lot of noise. These noises show the characteristics of local fluctuations in the degradation curve, but have no significant impact on the long-term degradation trend. Therefore, in order to ensure the robustness of data processing, it is necessary to perform smoothing and denoising preprocessing on capacity degraded data. In the present invention, the locally weighted scatter-point regression smoothing (LOWESS) method is used to process the capacity degradation data, and the long-term trend is retained while removing the local fluctuation in the degradation process. The specific implementation is as follows:
[0062] 1. Take a point x 1 As the center, determine a data with an interval length of f, which depends on q=fn, where q is the number of observations participating in local regression, f is the number of observations participating in local regression to the number of observations Proportion, ...
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[0109] The present invention uses the test data of Ningde Times New Energy Technology Co., Ltd. to verify the feasibility and effectiveness of the proposed lithium-ion battery life prediction method (note: the battery used in the test is a pouch battery specially used in the product design stage , which differ from the batteries used in the company's real products).
[0110] Lithium battery samples under 25°C test conditions are selected for analysis and verification. This method uses four samples for case analysis, including two diving samples and two normal samples. The numbers of the four samples are marked as follows:
[0111] Normal samples: N1, N2
[0112] Diving samples: D1, D2
[0113] The original degradation curves of the four battery samples are as Figure 5 Shown:
[0114]Step 1: Lithium battery capacity diving identification
[0115] Step 1.1: Data Preprocessing
[0116] The diving identification and labeling based on the characteristic included angle and th...
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