Satellite Lithium-Ion Battery Remaining Cycle Life Prediction with Novel Indirect Health Indicator Extraction

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

(2013) Yinjiao Xing 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

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

Battery Management Systems in Electric and Hybrid Vehicles

(2011) Yinjiao Xing et al.   Energies

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

Comparison of universal approximators incorporating partial monotonicity by structure

(2009) Alexey Minin et al.   NEURAL NETWORKS

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 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