Lithium-ion batteries remaining useful life prediction based on BLS-RVM

Remaining energy estimation for lithium-ion batteries via Gaussian mixture and Markov models for future load prediction

(2020) Mona Faraji Niri et al.   Journal of Energy Storage

Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression

(2020) Zhongwei Deng et al.   ENERGY

Data-driven prediction of battery cycle life before capacity degradation

(2019) Kristen A. Severson et al.   Nature Energy

Aging trajectory prediction for lithium-ion batteries via model migration and Bayesian Monte Carlo method

(2019) Xiaopeng Tang et al.   APPLIED ENERGY

Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles

(2019) Lin Yang et al.   APPLIED ENERGY

Piecewise model based intelligent prognostics for state of health prediction of rechargeable batteries with capacity regeneration phenomena

(2019) Dong Wang et al.   MEASUREMENT

A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction

(2019) Lingzi Zhu et al.   Cognitive Computation

Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm

(2018) Yuchen SONG et al.   Chinese Journal of Aeronautics

Polynomial approximation pseudo-two-dimensional battery model for online application in embedded battery management system

(2018) Zhongwei Deng et al.   ENERGY

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

(2018) C. L. Philip Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Exponential Model and Particle Filter

(2018) Lijun Zhang et al.   IEEE Access

Regularized Robust Broad Learning System for Uncertain Data Modeling

(2018) Jun-Wei Jin et al.   NEUROCOMPUTING

Enhancing the Lithium-ion battery life predictability using a hybrid method

(2018) Ling-Ling Li et al.   APPLIED SOFT COMPUTING

Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system

(2018) Chang Liu et al.   ENERGY

Adaptive relevant vector machine based RUL prediction under uncertain conditions

(2018) Xiuli Wang et al.   ISA TRANSACTIONS

A Rest Time-Based Prognostic Framework for State of Health Estimation of Lithium-Ion Batteries with Regeneration Phenomena

(2016) Taichun Qin et al.   Energies

Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]

(2016) Ye Ren et al.   IEEE Computational Intelligence Magazine

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter

(2016) Dong Wang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

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

Remaining useful life prediction based on noisy condition monitoring signals using constrained Kalman filter

(2016) Junbo Son et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Lithium-Ion Battery Cells

(2015) Marcos E. Orchard et al.   IEEE TRANSACTIONS ON RELIABILITY

Ensemble Support Vector Machine Algorithm for Reliability Estimation of a Mining Machine

(2014) Snehamoy Chatterjee et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

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

Prognostic modelling options for remaining useful life estimation by industry

(2010) J.Z. Sikorska et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING