Novel Approach for Lithium-Ion Battery On-Line Remaining Useful Life Prediction Based on Permutation Entropy

Denoising and Feature Extraction Algorithms Using NPE Combined with VMD and Their Applications in Ship-Radiated Noise

(2017) Yuxing Li et al.   Symmetry-Basel

Capacity Prognostics of Lithium-Ion Batteries using EMD Denoising and Multiple Kernel RVM

(2017) Chaolong Zhang et al.   IEEE Access

High-Capacitance Hybrid Supercapacitor Based on Multi-Colored Fluorescent Carbon-Dots

(2017) Rukan Genc et al.   Scientific Reports

An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks

(2016) Ji Wu et al.   APPLIED ENERGY

A novel health indicator for on-line lithium-ion batteries remaining useful life prediction

(2016) Yapeng Zhou et al.   JOURNAL OF POWER SOURCES

Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery

(2016) Changfu Zou et al.   JOURNAL OF POWER SOURCES

Lithium-ion batteries remaining useful life prediction based on a mixture of empirical mode decomposition and ARIMA model

(2016) Yapeng Zhou et al.   MICROELECTRONICS RELIABILITY

A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

(2015) Meru A. Patil et al.   APPLIED ENERGY

Online Capacity Estimation of Lithium-Ion Batteries Based on Novel Feature Extraction and Adaptive Multi-Kernel Relevance Vector Machine

(2015) Yang Zhang et al.   Energies

A Health Indicator Extraction and Optimization Framework for Lithium-Ion Battery Degradation Modeling and Prognostics

(2015) Datong Liu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Prognostics of Lithium-Ion Batteries Based on Wavelet Denoising and DE-RVM

(2015) Chaolong Zhang et al.   Computational Intelligence and Neuroscience

Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS

(2015) Rodrigo N. Calheiros et al.   IEEE Transactions on Cloud Computing

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

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

(2013) Datong Liu et al.   Energies

Model based identification of aging parameters in lithium ion batteries

(2013) Githin K. Prasad et al.   JOURNAL OF POWER SOURCES

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

Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life

(2012) Chao Hu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Intelligent prognostics for battery health monitoring based on sample entropy

(2011) Achmad Widodo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

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