State of health estimation of lithium-ion battery based on an adaptive tunable hybrid radial basis function network

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

(2020) Yujie Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

An Automatic R and T Peak Detection Method Based on the Combination of Hierarchical Clustering and Discrete Wavelet Transform

(2020) Hanjie Chen et al.   IEEE Journal of Biomedical and Health Informatics

An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application

(2018) Rui Xiong 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

Hierarchically Adaptive Frequency Control for EVs-Integrated Smart Grid with Renewable Energy

(2018) Chaoxu Mu et al.   IEEE Transactions on Industrial Informatics

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 fractional-order model-based battery external short circuit fault diagnosis approach for all-climate electric vehicles application

(2018) Ruixin Yang et al.   JOURNAL OF CLEANER PRODUCTION

Brownian motion with adaptive drift for remaining useful life prediction: Revisited

(2018) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Regularized SNPOM for Stable Parameter Estimation of RBF-AR(X) Model

(2018) Xiaoyong Zeng et al.   IEEE Transactions on Neural Networks and Learning Systems

A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging

(2018) Xiaopeng Tang et al.   ENERGY CONVERSION AND MANAGEMENT

State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters

(2018) F. Cadini et al.   APPLIED ENERGY

A Novel Estimation Method for the State of Health of Lithium-Ion Battery Using Prior Knowledge-Based Neural Network and Markov Chain

(2018) Houde Dai et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks

(2017) Claudio Sbarufatti et al.   JOURNAL OF POWER SOURCES

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 novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

(2015) Meru A. Patil et al.   APPLIED ENERGY

A Bayesian approach for Li-Ion battery capacity fade modeling and cycles to failure prognostics

(2015) Jian Guo et al.   JOURNAL OF POWER SOURCES

Model-Based Dynamic Power Assessment of Lithium-Ion Batteries Considering Different Operating Conditions

(2013) Xiaosong Hu et al.   IEEE Transactions on Industrial Informatics

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

(2013) Datong Liu et al.   MICROELECTRONICS RELIABILITY

Estimation of Battery State of Health Using Probabilistic Neural Network

(2012) Ho-Ta Lin et al.   IEEE Transactions on Industrial Informatics

Extension of physics-based single particle model for higher charge–discharge rates

(2012) Saeed Khaleghi Rahimian et al.   JOURNAL OF POWER SOURCES

Multivariate online kernel density estimation with Gaussian kernels

(2011) Matej Kristan et al.   PATTERN RECOGNITION

State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF

(2010) Mohammad Charkhgard et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: Modelling

(2010) D. Andre et al.   JOURNAL OF POWER SOURCES

State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation

(2010) Jürgen Remmlinger et al.   JOURNAL OF POWER SOURCES

Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries

(2009) Kong Soon Ng et al.   APPLIED ENERGY