Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error

Remaining useful life (RUL) prediction is central to the prognostics and health management (PHM) of lithium-ion batteries. This paper proposes a novel RUL prediction method for lithium-ion batteries based on the Wiener process with measurement error (WPME). First, we use the truncated normal distrib...

Full description

Bibliographic Details
Main Authors: Shengjin Tang, Chuanqiang Yu, Xue Wang, Xiaosong Guo, Xiaosheng Si
Format: Article
Language:English
Published: MDPI AG 2014-01-01
Series:Energies
Subjects:
lithium-ion batteries
remaining useful life
the Wiener process
measurement error
prediction
truncated normal distribution
maximum likelihood estimation
Bayesian
expectation maximization algorithm
Online Access:http://www.mdpi.com/1996-1073/7/2/520

Internet

http://www.mdpi.com/1996-1073/7/2/520

Similar Items