Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies

A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures

(2016) J. Jaguemont et al.   APPLIED ENERGY

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

A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur

(2016) Abbas Fotouhi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects

(2016) Junjie Hu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

State of health estimation of lithium-ion batteries: A multiscale Gaussian process regression modeling approach

(2015) Yi-Jun He et al.   AICHE JOURNAL

Regression Models Using Fully Discharged Voltage and Internal Resistance for State of Health Estimation of Lithium-Ion Batteries

(2015) Kuo-Hsin Tseng et al.   Energies

State-of-Health Monitoring and Prediction of Lithium-Ion Battery Using Probabilistic Indication and State-Space Model

(2015) Jianbo Yu   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles

(2015) Daniel A. Pola et al.   IEEE TRANSACTIONS ON RELIABILITY

Inline state of health estimation of lithium-ion batteries using state of charge calculation

(2015) Saeed Sepasi et al.   JOURNAL OF POWER SOURCES

Comparison of a particle filter and other state estimation methods for prognostics of lithium-ion batteries

(2015) Eric Walker et al.   JOURNAL OF POWER SOURCES

Online estimation of lithium-ion battery capacity using sparse Bayesian learning

(2015) Chao Hu et al.   JOURNAL OF POWER SOURCES

A new prognostics method for state of health estimation of lithium-ion batteries based on a mixture of Gaussian process models and particle filter

(2015) Fan Li et al.   MICROELECTRONICS RELIABILITY

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

A Health Indicator Extraction and Optimization Framework for Lithium-Ion Battery Degradation Modeling and Prognostics

(2015) Datong Liu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Prognostics of Lithium-Ion Batteries Based on Wavelet Denoising and DE-RVM

(2015) Chaolong Zhang et al.   Computational Intelligence and Neuroscience

A generic model-free approach for lithium-ion battery health management

(2014) Guangxing Bai et al.   APPLIED ENERGY

Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery

(2014) Chao Hu et al.   APPLIED ENERGY

A naive Bayes model for robust remaining useful life prediction of lithium-ion battery

(2014) Selina S.Y. Ng et al.   APPLIED ENERGY

Cycle Life of Commercial Lithium-Ion Batteries with Lithium Titanium Oxide Anodes in Electric Vehicles

(2014) Xuebing Han et al.   Energies

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

(2014) Shuai Wang et al.   Energies

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error

(2014) Shengjin Tang et al.   Energies

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

A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation

(2014) Verena Klass et al.   JOURNAL OF POWER SOURCES

Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function

(2013) Yi Chen et al.   Energies

Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model

(2013) Dong Wang et al.   JOURNAL OF POWER SOURCES

State of charge estimation for electric vehicle batteries using unscented kalman filtering

(2013) Wei He et al.   MICROELECTRONICS RELIABILITY

An ensemble model for predicting the remaining useful performance of lithium-ion batteries

(2013) Yinjiao Xing et al.   MICROELECTRONICS RELIABILITY

Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression

(2013) Datong Liu et al.   MICROELECTRONICS RELIABILITY

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

(2013) Bing Long et al.   MICROELECTRONICS RELIABILITY

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

Risk Measures for Particle-Filtering-Based State-of-Charge Prognosis in Lithium-Ion Batteries

(2012) Marcos E. Orchard et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks

(2012) Akram Eddahech et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods

(2012) Adnan Nuhic et al.   JOURNAL OF POWER SOURCES

Remaining useful life prediction of lithium-ion battery with unscented particle filter technique

(2012) Qiang Miao et al.   MICROELECTRONICS RELIABILITY

Battery Management Systems in Electric and Hybrid Vehicles

(2011) Yinjiao Xing et al.   Energies

Intelligent prognostics for battery health monitoring based on sample entropy

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

Complementary Cooperation Algorithm Based on DEKF Combined With Pattern Recognition for SOC/Capacity Estimation and SOH Prediction

(2011) Jonghoon Kim et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

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

A review on prognostics and health monitoring of Li-ion battery

(2011) Jingliang Zhang et al.   JOURNAL OF POWER SOURCES

Lithium-ion battery life prognostic health management system using particle filtering framework

(2011) M Dalal et al.   Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Prognostics in Battery Health Management

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