Early prediction of battery lifetime via a machine learning based framework

State-of-Charge Estimation of Lithium-Ion Batteries in the Battery Degradation Process Based on Recurrent Neural Network

(2021) Shuqing Li et al.   Energies

Prognostics of battery cycle life in the early-cycle stage based on hybrid model

(2021) Yu Zhang et al.   ENERGY

Adaptive State-of-Charge Estimation for Lithium-Ion Batteries by Considering Capacity Degradation

(2021) Peipei Xu et al.   Electronics

Capacity attenuation mechanism modeling and health assessment of lithium-ion batteries

(2021) Jiaqiang Tian et al.   ENERGY

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

(2020) Xing Shu et al.   ENERGY

Impact of battery degradation models on energy management of a grid-connected DC microgrid

(2020) Shuoqi Wang et al.   ENERGY

Life prediction of lithium-ion batteries based on stacked denoising autoencoders

(2020) Fan Xu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries

(2019) Fangfang Yang et al.   ENERGY

Data-driven prediction of battery cycle life before capacity degradation

(2019) Kristen A. Severson et al.   Nature Energy

Analysis of cyclic aging performance of commercial Li4Ti5O12-based batteries at room temperature

(2019) Sijia Liu et al.   ENERGY

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

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

(2019) Yi Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2019) Xiaoyu Li et al.   ENERGY

A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries

(2018) Fangfang Yang et al.   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

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

Remaining useful life assessment of lithium-ion batteries in implantable medical devices

(2018) Chao Hu et al.   JOURNAL OF POWER SOURCES

A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter

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

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

Performance and cost of materials for lithium-based rechargeable automotive batteries

(2018) Richard Schmuch et al.   Nature Energy

Remaining Useful Life Prediction for Lithium-ion Battery: A Deep Learning Approach

(2018) Lei Ren et al.   IEEE Access

Random forest regression for online capacity estimation of lithium-ion batteries

(2018) Yi Li et al.   APPLIED ENERGY

A realistic model for battery state of charge prediction in energy management simulation tools

(2018) Bart Homan et al.   ENERGY

Lithium Iron Phosphate Battery Electric Vehicle State-of-Charge Estimation Based on Evolutionary Gaussian Mixture Regression

(2017) Hanmin Sheng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Gaussian process regression for forecasting battery state of health

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

Degradation diagnostics for lithium ion cells

(2017) Christoph R. Birkl et al.   JOURNAL OF POWER SOURCES

Optimal BP neural network algorithm for state of charge estimation of lithium-ion battery using PSO with PCA feature selection

(2017) M. S. Hossain Lipu et al.   Journal of Renewable and Sustainable Energy

Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model

(2017) Fangfang Yang et al.   MICROELECTRONICS RELIABILITY

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

(2017) Duo Yang et al.   APPLIED ENERGY

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

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

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 Survey on Evolutionary Computation Approaches to Feature Selection

(2016) Bing Xue et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

State-of-Charge and State-of-Health Lithium-Ion Batteries’ Diagnosis According to Surface Temperature Variation

(2016) Asmae El Mejdoubi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2015) Meru A. Patil 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 survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Online State-of-Health Assessment for Battery Management Systems

(2011) M V Micea et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

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

Identifying battery aging mechanisms in large format Li ion cells

(2010) Matthieu Dubarry et al.   JOURNAL OF POWER SOURCES

Valve Regulated Lead Acid battery float service life estimation using a Kalman filter

(2009) Webb L. Burgess   JOURNAL OF POWER SOURCES