Remaining useful life prediction of lithium-ion batteries based on Monte Carlo Dropout and gated recurrent unit

SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators

(2020) Jianfang Jia et al.   Energies

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

(2020) Penghua Li et al.   JOURNAL OF POWER SOURCES

Sparse auto-encoder with regularization method for health indicator construction and remaining useful life prediction of rolling bearing

(2020) Daoming She et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Remaining useful life prediction for Lithium-ion batteries using fractional Brownian motion and Fruit-fly Optimization Algorithm

(2020) Haiyang Wang et al.   MEASUREMENT

An Autoencoder Gated Recurrent Unit for Remaining Useful Life Prediction

(2020) Yi-Wei Lu et al.   Processes

Review of energy storage services, applications, limitations, and benefits

(2020) Ahmed Zayed AL Shaqsi et al.   Energy Reports

A hybrid prognostic strategy with unscented particle filter and optimized multiple kernel relevance vector machine for lithium-ion battery

(2020) Xiaofei Sun et al.   MEASUREMENT

A health indicator extraction based on surface temperature for lithium-ion batteries remaining useful life prediction

(2020) Hailin Feng et al.   Journal of Energy Storage

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

(2019) Yi Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

PEMFC Residual Life Prediction Using Sparse Autoencoder-Based Deep Neural Network

(2019) Jiawei Liu et al.   IEEE Transactions on Transportation Electrification

Data-Driven Battery Health Prognosis Using Adaptive Brownian Motion Model

(2019) Guangzhong Dong et al.   IEEE Transactions on Industrial Informatics

Lithium-ion battery remaining useful life prediction with Box-Cox transformation and Monte Carlo simulation

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction

(2018) Peiyao Guo et al.   JOURNAL OF POWER SOURCES

Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction

(2018) Lei Ren et al.   Future Generation Computer Systems-The International Journal of eScience

A lead-acid battery's remaining useful life prediction by using electrochemical model in the Particle Filtering framework

(2017) Chao Lyu et al.   ENERGY

EMA remaining useful life prediction with weighted bagging GPR algorithm

(2017) Yujie Zhang et al.   MICROELECTRONICS RELIABILITY

Data-driven hybrid remaining useful life estimation approach for spacecraft lithium-ion battery

(2017) Yuchen Song et al.   MICROELECTRONICS RELIABILITY

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

(2016) Ji Wu et al.   APPLIED ENERGY

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

Significance, interpretation, and quantification of uncertainty in prognostics and remaining useful life prediction

(2015) Shankar Sankararaman   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter

(2014) Hancheng Dong et al.   JOURNAL OF POWER SOURCES

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

(2013) Datong Liu et al.   NEURAL COMPUTING & APPLICATIONS