A New Lithium-Ion Battery SOH Estimation Method Based on an Indirect Enhanced Health Indicator and Support Vector Regression in PHMs

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

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

A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation

(2018) J. Li et al.   APPLIED ENERGY

Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

(2018) Jingwen Wei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis

(2018) Xiaoyu Li et al.   JOURNAL OF POWER SOURCES

State-of-health estimation for the lithium-ion battery based on support vector regression

(2017) Duo Yang et al.   APPLIED ENERGY

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

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

(2016) Taichun Qin et al.   Energies

State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application

(2016) Maitane Berecibar et al.   ENERGY

An on-line estimation of battery pack parameters and state-of-charge using dual filters based on pack model

(2016) Xu Zhang et al.   ENERGY

Adaptive estimation of state of charge and capacity with online identified battery model for vanadium redox flow battery

(2016) Zhongbao Wei et al.   JOURNAL OF POWER SOURCES

A novel state of health estimation method of Li-ion battery using group method of data handling

(2016) Ji Wu et al.   JOURNAL OF POWER SOURCES

State-of-health estimation of LiFePO 4 /graphite batteries based on a model using differential capacity

(2016) Soichiro Torai 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

Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy

(2015) Matteo Galeotti et al.   ENERGY

Residual lifetime prediction for lithium-ion battery based on functional principal component analysis and Bayesian approach

(2015) Yujie Cheng et al.   ENERGY

Robust prognostics for state of health estimation of lithium-ion batteries based on an improved PSO–SVR model

(2015) Taichun Qin et al.   MICROELECTRONICS RELIABILITY

A method for joint estimation of state-of-charge and available energy of LiFePO 4 batteries

(2014) Yujie Wang et al.   APPLIED ENERGY

Prognostics of Lithium-Ion Batteries Based on Battery Performance Analysis and Flexible Support Vector Regression

(2014) Shuai Wang et al.   Energies

Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility

(2014) Seyed Mohammad Rezvanizaniani et al.   JOURNAL OF POWER SOURCES

Prognostics of Lithium-Ion Batteries Based on the Verhulst Model, Particle Swarm Optimization and Particle Filter

(2013) Weiming Xian et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression

(2013) Caihao Weng et al.   JOURNAL OF POWER SOURCES

Online battery state of health estimation based on Genetic Algorithm for electric and hybrid vehicle applications

(2013) Zheng Chen et al.   JOURNAL OF POWER SOURCES

Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries

(2012) Dave Andre et al.   JOURNAL OF POWER SOURCES

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

(2011) Chao Hu et al.   APPLIED ENERGY

Particle swarm optimization-least squares support vector regression based forecasting model on dissolved gases in oil-filled power transformers

(2011) Ruijin Liao et al.   ELECTRIC POWER SYSTEMS RESEARCH

Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method

(2011) Wei He et al.   JOURNAL OF POWER SOURCES

Prognostics in Battery Health Management

(2008) Kai Goebel et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

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