A hybrid approach based on decomposition algorithm and neural network for remaining useful life prediction of lithium-ion battery

Monte Carlo simulation using support vector machine and kernel density for failure probability estimation

(2021) Seunggyu Lee   RELIABILITY ENGINEERING & SYSTEM SAFETY

Predictive Battery Health Management With Transfer Learning and Online Model Correction

(2021) Yunhong Che et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process

(2021) Sen-Ju Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression

(2021) Sai Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression

(2020) Xiaoyu Li et al.   ENERGY

Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset

(2020) Yong Yu et al.   NEUROCOMPUTING

Model Migration Neural Network for Predicting Battery Aging Trajectories

(2020) Xiaopeng Tang et al.   IEEE Transactions on Transportation Electrification

State-of-Health Prediction for Lithium-Ion Batteries Based on a Novel Hybrid Approach

(2020) Zhonghua Yun et al.   Energies

Health Prognosis for Electric Vehicle Battery Packs: A Data-Driven Approach

(2020) Xiaosong Hu et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A BiGRU method for remaining useful life prediction of machinery

(2020) Daoming She et al.   MEASUREMENT

Reliability estimation from lifetime testing data and degradation testing data with measurement error based on evidential variable and Wiener process

(2020) Di Liu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Reliability modeling and evaluation of lifetime delayed degradation process with nondestructive testing

(2020) Zan Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data

(2020) Zhenan Pang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Life prediction of lithium-ion batteries based on stacked denoising autoencoders

(2020) Fan Xu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A multi-scale fusion prediction method for lithium-ion battery capacity based on ensemble empirical mode decomposition and nonlinear autoregressive neural networks

(2019) Pei Wang et al.   International Journal of Distributed Sensor Networks

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process

(2019) Jinglong Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A hybrid prognostic method for system degradation based on particle filter and relevance vector machine

(2019) Yang Chang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Lithium-ion Battery RUL Prediction Method Considering the Capacity Regeneration Phenomenon

(2019) Xiaoqiong Pang et al.   Energies

State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

(2019) Xiaoyu Li et al.   ENERGY

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

(2019) Zhiwei Xue et al.   NEUROCOMPUTING

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

(2018) Luping Chen et al.   Energies

Battery Management System with Lebesgue Sampling-Based Extended Kalman Filter

(2018) Wuzhao Yan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

(2018) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

An improved unscented particle filter approach for lithium-ion battery remaining useful life prediction

(2018) Heng Zhang et al.   MICROELECTRONICS RELIABILITY

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble

(2018) Jianbo Yu   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds

(2018) Austin Downey et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining dischargeable time prediction for lithium-ion batteries using unscented Kalman filter

(2017) Guangzhong Dong et al.   JOURNAL OF POWER SOURCES

Near-extreme system condition and near-extreme remaining useful time for a group of products

(2017) Hai-Kun Wang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Risk-Sensitive Particle-Filtering-based Prognosis Framework for Estimation of Remaining Useful Life in Energy Storage Devices

(2017) Dr. Marcos E. ORCHARD et al.   Studies in Informatics and Control

Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning

(2015) Datong Liu et al.   MEASUREMENT

An integrated unscented kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction

(2015) Xiujuan Zheng et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An improved autoregressive model by particle swarm optimization for prognostics of lithium-ion batteries

(2013) Bing Long et al.   MICROELECTRONICS RELIABILITY

Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab

(2013) Dawn An et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life estimation based on stochastic deterioration models: A comparative study

(2012) Khanh Le Son et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation

(2011) Chao Hu et al.   APPLIED ENERGY

Intelligent prognostics for battery health monitoring based on sample entropy

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