An estimation model for state of health of lithium-ion batteries using energy-based features

A novel method for the modeling of the state of health of lithium-ion cells using machine learning for practical applications

(2021) Damian Burzyński et al.   KNOWLEDGE-BASED SYSTEMS

Deep neural network battery charging curve prediction using 30 points collected in 10 min

(2021) Jinpeng Tian et al.   Joule

Capacity estimation for lithium-ion battery using experimental feature interval approach

(2020) Pucheng Pei et al.   ENERGY

A rest-time-based prognostic model for remaining useful life prediction of lithium-ion battery

(2020) Liming Deng et al.   NEURAL COMPUTING & APPLICATIONS

State of Health Estimation for Lithium-Ion Batteries Based on the Constant Current–Constant Voltage Charging Curve

(2020) Bin Xiao et al.   Electronics

Rate dependency of incremental capacity analysis (dQ/dV) as a diagnostic tool for lithium-ion batteries

(2020) A. Fly et al.   Journal of Energy Storage

Comparative study of curve determination methods for incremental capacity analysis and state of health estimation of lithium-ion battery

(2020) Jiangtao He et al.   Journal of Energy Storage

Data-Driven Online Health Estimation of Li-Ion Batteries Using A Novel Energy-Based Health Indicator

(2020) Wei Liu et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

State of charge estimation for lithium-ion battery based on an Intelligent Adaptive Extended Kalman Filter with improved noise estimator

(2020) Daoming Sun et al.   ENERGY

A novel deep learning framework for state of health estimation of lithium-ion battery

(2020) Yaxiang Fan et al.   Journal of Energy Storage

A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

(2020) Kailong Liu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning

(2020) Xiaosong Hu et al.   IEEE Transactions on Transportation Electrification

A comparison of methodologies for the non-invasive characterisation of commercial Li-ion cells

(2019) Anup Barai et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

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

(2019) Xiaoyu Li et al.   ENERGY

Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networks

(2019) Shuzhi Zhang et al.   Journal of Energy Storage

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

A comprehensive model for lithium-ion batteries: From the physical principles to an electrical model

(2018) Alberto Berrueta et al.   ENERGY

Battery State-of-Charge Estimation Based on Regular/Recurrent Gaussian Process Regression

(2018) Gozde O. Sahinoglu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

Gaussian Process Regression for In-situ Capacity Estimation of Lithium-ion Batteries

(2018) Robert R. Richardson et al.   IEEE Transactions on Industrial Informatics

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

State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble

(2018) Jianbo Yu   RELIABILITY ENGINEERING & SYSTEM SAFETY

Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment

(2018) Bolun Xu et al.   IEEE Transactions on Smart Grid

Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine

(2018) Jinhao Meng et al.   MICROELECTRONICS RELIABILITY

State of health estimation of lithium-ion batteries based on the constant voltage charging curve

(2018) Zengkai Wang et al.   ENERGY

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

Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds

(2018) Austin Downey et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

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

Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes

(2017) Taedong Goh et al.   ENERGY

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

(2017) Chao Lyu et al.   ENERGY

Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator

(2017) Yujie Wang et al.   ENERGY

Gaussian process regression for forecasting battery state of health

(2017) Robert R. Richardson et al.   JOURNAL OF POWER SOURCES

Real-time state-of-health estimation for electric vehicle batteries: A data-driven approach

(2016) Gae-won You et al.   APPLIED ENERGY

State-of-health estimation of lithium-ion battery packs in electric vehicles based on genetic resampling particle filter

(2016) Jun Bi et al.   APPLIED ENERGY

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

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

Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

(2015) Yuan Zou et al.   JOURNAL OF POWER SOURCES

Synthesize battery degradation modes via a diagnostic and prognostic model

(2012) Matthieu Dubarry et al.   JOURNAL OF POWER SOURCES

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

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