Residual Life Prediction of Lithium Batteries Based on Data Mining.

Published in: Computational intelligence and neuroscience (2022)

Lithium-ion batteries are an important part of smartphones, and their performance has a great impact on the life of the phone. The longevity of lithium-ion batteries is key to ensuring their reliability and extending their useful life. This paper built a lithium battery life prediction model and grey model MDGM(1,1) based on data mining. Then, experimental data were selected for testing, and the prediction error reached 10.5% at the minimum. It showed that the prediction model had higher precision and could provide help for the prediction and development of mobile phone battery life.

Keyphrases

electronic health record
solid state
big data
machine learning
data analysis
deep learning