Estimating the remaining useful life of Li-ion batteries with a Bayesian updating model

Author

Yizhen Hai ; Jie Tang ; Kwok-Leung Tsui

Author_Institution

Dept. of Syst. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China

fYear

2012

fDate

10-13 Dec. 2012

Firstpage

2113

Lastpage

2116

Abstract

In this paper, we studied a prediction method for the remaining useful life of Lithium-ion batteries. First, a battery degradation model is obtained based on exponential degradation signal modeling with data collected from second generation 18650-size lithiumion cells from NASA. Using a Bayesian updating procedure, we then obtain the conditional cumulative distribution function (cdf) of the residual life of the battery at various time intervals. Finally, we discuss this method and draw the conclusion that the model is accurate in terms of prediction.

Keywords

Bayes methods; exponential distribution; secondary cells; Bayesian updating model; NASA; battery degradation model; battery residual life; cdf; cumulative distribution function; exponential degradation signal modeling; lithium-ion batteries; second generation 18650-size lithium-ion cells; Batteries; Bayes methods; Data models; Degradation; Impedance; NASA; Uncertainty; Battery degradation; Bayesian updating; remaining useful life;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on

Conference_Location

Hong Kong

Type

conf

DOI

10.1109/IEEM.2012.6838119

Filename

6838119