A novel data-driven method for predicting the circulating capacity of lithium-ion battery under random variable current

A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter

(2020) Yong Tian et al.   APPLIED ENERGY

A novel quantitative electrochemical aging model considering side reactions for lithium-ion batteries

(2020) Xi Zhang et al.   ELECTROCHIMICA ACTA

Acoustic signal analysis for detecting defects inside an arc magnet using a combination of variational mode decomposition and beetle antennae search

(2020) Qinyuan Huang et al.   ISA TRANSACTIONS

A beetle antennae search improved BP neural network model for predicting multi-factor-based gas explosion pressures

(2020) Ying Xu et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

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

Development of electrochemical-thermal modelling for large-format Li-ion battery

(2020) Min Hou et al.   ELECTROCHIMICA ACTA

A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization

(2020) Xing Shu et al.   ENERGY

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

(2020) Xiaoyu Li et al.   ENERGY

Prediction of overcharge-induced serious capacity fading in nickel cobalt aluminum oxide lithium-ion batteries using electrochemical impedance spectroscopy

(2020) Norihiro Togasaki et al.   JOURNAL OF POWER SOURCES

Intelligent analysis of tool wear state using stacked denoising autoencoder with online sequential-extreme learning machine

(2020) Jiayu Ou et al.   MEASUREMENT

Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries

(2019) Yuanwang Deng et al.   ENERGY

Prognostic health condition for lithium battery using the partial incremental capacity and Gaussian process regression

(2019) Xiaoyu Li et al.   JOURNAL OF POWER SOURCES

Battery health prediction under generalized conditions using a Gaussian process transition model

(2019) Robert R. Richardson et al.   Journal of Energy Storage

Alcoholic hydroxyl functionalized partially reduced graphene oxides for symmetric supercapacitors with long-term cycle stability

(2019) Yong Zhang et al.   ELECTROCHIMICA ACTA

A Novel Hybrid Prognostic Approach for Remaining Useful Life Estimation of Lithium-Ion Batteries

(2019) Tianfei Sun et al.   Energies

Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network

(2019) Guijun Ma et al.   APPLIED ENERGY

A deep learning method for online capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   Journal of Energy Storage

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

(2019) Xiaoyu Li et al.   ENERGY

Prognostication of discharge coefficient of labyrinth weir using outlier robust extreme learning machine

(2019) Shahabodin Shafiei et al.   FLOW MEASUREMENT AND INSTRUMENTATION

A comprehensive investigation of lithium-ion battery degradation performance at different discharge rates

(2019) Ang Yang et al.   JOURNAL OF POWER SOURCES

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 battery state-of-health online estimation method using multiple health indicators and an extreme learning machine

(2018) Haihong Pan et al.   ENERGY

A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve

(2018) Duo Yang et al.   JOURNAL OF POWER SOURCES

A fast estimation algorithm for lithium-ion battery state of health

(2018) Xiaopeng Tang et al.   JOURNAL OF POWER SOURCES

A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries

(2018) Qi Zhao et al.   MICROELECTRONICS RELIABILITY

Aircraft engine degradation prognostics based on logistic regression and novel OS-ELM algorithm

(2018) Feng Lu et al.   AEROSPACE SCIENCE AND 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

System-on-a-Chip (SoC)-Based Hardware Acceleration for an Online Sequential Extreme Learning Machine (OS-ELM)

(2018) Amin Safaei et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

Battery remaining useful life prediction at different discharge rates

(2017) Dong Wang et al.   MICROELECTRONICS RELIABILITY

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

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

Discharge forecasting using an Online Sequential Extreme Learning Machine (OS-ELM) model: A case study in Neckar River, Germany

(2016) Basant Yadav et al.   MEASUREMENT