Remaining useful life prediction of high-capacity lithium-ion batteries based on incremental capacity analysis and Gaussian kernel function optimization.

Testing of the United States National Aeronautics and Space Administration’s (NASA) battery dataset, which is available online, as well as the University of Maryland’s battery dataset, reveals that this method shows a clear trend of decreasing battery EOL prediction uncertainty with an increasing amount of data, as tested using between 20% and 60% of the dataset.

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With the increase in the number of cycles, the peak of the IC curve followed a general trend of attenuation, and the area under the peak of the IC curve also showed a trend of gradual decrease.

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