Life prediction of lithium titanate batteries for high energy laser systems

Abstract

Lithium titanate batteries are widely used as an energy source for high energy laser systems. In order to improve the reliability of high energy laser systems, this study established a life prediction model for lithium titanate batteries based on the classical one-dimensional Wiener process, adopted the Bayesian method for remaining useful life (RUL) prediction, and updated model parameters with typical working condition data from similar products to improve prediction accuracy, narrowing the prediction confidence interval to within 10 cycles. Experimental results show that the proposed method has high accuracy and feasibility.