Battery Degradation Prediction Model Based on Gaussian Process Regression

Abstract

Lithium-ion batteries are increasingly used in today's society because of their excellent performance. In order to predict the fault and remaining life of lithium-ion battery, and provide the basis for the later maintenance guarantee, in this paper, the battery capacity and battery internal resistance are used to establish the health factor of lithium ion battery degradation condition, and the Gaussian process regression is introduced into the prediction to establish a lithium ion battery degradation prediction model. Finally, the rationality of health factor selection is illustrated by simulation experiments, which provides a basis for further evaluation of lithium ion battery health in the later stage.