Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm

An ensemble model for predicting the remaining useful performance of lithium-ion batteries

(2013) Yinjiao Xing et al.   MICROELECTRONICS RELIABILITY

Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression

(2013) Datong Liu et al.   MICROELECTRONICS RELIABILITY

A data-model-fusion prognostic framework for dynamic system state forecasting

(2012) J. Liu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Risk Measures for Particle-Filtering-Based State-of-Charge Prognosis in Lithium-Ion Batteries

(2012) Marcos E. Orchard et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Particle-Filtering-Based Prognosis Framework for Energy Storage Devices With a Statistical Characterization of State-of-Health Regeneration Phenomena

(2012) Benjamín E. Olivares et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method

(2011) Wei He et al.   JOURNAL OF POWER SOURCES

A review on prognostics and health monitoring of Li-ion battery

(2011) Jingliang Zhang et al.   JOURNAL OF POWER SOURCES

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A prognostics and health management roadmap for information and electronics-rich systems

(2010) Michael Pecht et al.   MICROELECTRONICS RELIABILITY

Comparison of prognostic algorithms for estimating remaining useful life of batteries

(2009) Bhaskar Saha et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Prognostics in Battery Health Management

(2008) Kai Goebel et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

(2008) B. Saha et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A multi-step predictor with a variable input pattern for system state forecasting

(2008) Jie Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING