Li-Ion Battery State of Health Estimation Based on Short Random Charging Segment and Improved Long Short-Term Memory

A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms

(2023) Ming Zhang et al.   Energies

Electrochemical Impedance Spectroscopy: A New Chapter in the Fast and Accurate Estimation of the State of Health for Lithium-Ion Batteries

(2023) Ming Zhang et al.   Energies

Developments and Applications of Artificial Intelligence in Music Education

(2023) Xiaofei Yu et al.   Technologies

Battery health evaluation using a short random segment of constant current charging

(2022) Zhongwei Deng et al.   iScience

A state of health estimation method of lithium-ion batteries based on DT-IC-V health features extracted from partial charging segment

(2022) Aina Tian et al.   International Journal of Green Energy

State-of-health estimation of lithium-ion batteries based on improved long short-term memory algorithm

(2022) Yadong Gong et al.   Journal of Energy Storage

SOH prediction of lithium battery based on IC curve feature and BP neural network

(2022) Jianping Wen et al.   ENERGY

Flow Direction Algorithm (FDA): a Novel Optimizer Approach for Solving Optimization Problems

(2021) Hojat Karami et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Convolutional neural network based capacity estimation using random segments of the charging curves for lithium-ion batteries

(2021) Cheng Qian et al.   ENERGY

State-of-Health Estimation for Lithium-ion Batteries by Combining Model-Based Incremental Capacity Analysis with Support Vector Regression

(2021) Yajun Zhang et al.   ENERGY

Lithium-ion batteries remaining useful life prediction based on BLS-RVM

(2021) Zewang Chen et al.   ENERGY

Health Prognosis With Optimized Feature Selection for Lithium-Ion Battery in Electric Vehicle Applications

(2021) Ji Wu et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

A novel method for state of energy estimation of lithium-ion batteries using particle filter and extended Kalman filter

(2021) Xin Lai et al.   Journal of Energy Storage

Failure mechanism and predictive model of lithium-ion batteries under extremely high transient impact

(2021) Da Yu et al.   Journal of Energy Storage

State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

(2021) Xing Shu et al.   iScience

Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data

(2021) Zhongwei Deng et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Efficient online learning with improved LSTM neural networks

(2020) Ali H. Mirza et al.   DIGITAL SIGNAL PROCESSING

Online diagnosis of state of health for lithium-ion batteries based on short-term charging profiles

(2020) Xing Shu et al.   JOURNAL OF POWER SOURCES

A lithium-ion battery electrochemical–thermal model for a wide temperature range applications

(2020) Dafang Wang et al.   ELECTROCHIMICA ACTA

Lithium Battery State-of-Health Estimation via Differential Thermal Voltammetry With Gaussian Process Regression

(2020) Zhenpo Wang et al.   IEEE Transactions on Transportation Electrification

An Ensemble Learning-Based Data-Driven Method for Online State-of-Health Estimation of Lithium-Ion Batteries

(2020) Bin Gou et al.   IEEE Transactions on Transportation Electrification

Dynamic Bayesian Network-Based Lithium-Ion Battery Health Prognosis for Electric Vehicles

(2020) Guangzhong Dong et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

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

Battery state of health estimation: a structured review of models, methods and commercial devices

(2016) Lucian Ungurean et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Critical review of state of health estimation methods of Li-ion batteries for real applications

(2016) M. Berecibar et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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 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

Ultimate Limits to Intercalation Reactions for Lithium Batteries

(2014) M. Stanley Whittingham   CHEMICAL REVIEWS

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

Cycle-life model for graphite-LiFePO4 cells

(2010) John Wang et al.   JOURNAL OF POWER SOURCES