4.8 Review

A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Energy & Fuels

On the feature selection for battery state of health estimation based on charging-discharging profiles

Yuanyuan Li et al.

Summary: This study extracts health indicators from battery current, voltage, and temperature data based on laboratory measured experimental data to improve the accuracy in battery health estimation. Grey relation analysis quantifies the correlation between health indicators and battery capacity degradation, showing that most health indicators are closely related to battery heath, with correlation degree values mostly above 90%.

JOURNAL OF ENERGY STORAGE (2021)

Article Engineering, Electrical & Electronic

Fuzzy Entropy-Based State of Health Estimation for Li-Ion Batteries

Xin Sui et al.

Summary: Accurate estimation of battery state of health (SOH) is crucial for maximizing battery lifetime and enhancing the safety and efficiency of energy storage systems. This article introduces fuzzy entropy (FE) of battery voltage as a new feature for SOH estimation, which proves to be more efficient in capturing voltage variation during battery degradation. Additionally, the FE-based method shows improved estimation accuracy under aging temperature variation and reduces the reliance on large training datasets.

IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS (2021)

Article Engineering, Electrical & Electronic

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

Xiaosong Hu et al.

Summary: This article conducts a comprehensive study on data-driven State of Health (SOH) estimation methods for lithium-ion batteries. A new classification for health indicators is proposed, and a combination of fusion-based selection method and Gaussian process regression (GPR) shows superior estimation performance.

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2021)

Article Green & Sustainable Science & Technology

Remaining useful life estimation of lithium-ion cells based on k-nearest neighbor regression with differential evolution optimization

Yapeng Zhou et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Engineering, Multidisciplinary

Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique

Daniel-Ioan Stroe et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)

Article Energy & Fuels

Online state of health prediction method for lithium-ion batteries, based on gated recurrent unit neural networks

Lucian Ungurean et al.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2020)

Article Chemistry, Multidisciplinary

Ensemble Model Based on Stacked Long Short-Term Memory Model for Cycle Life Prediction of Lithium-Ion Batteries

Fu-Kwun Wang et al.

APPLIED SCIENCES-BASEL (2020)

Article Engineering, Electrical & Electronic

State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity

Qingxia Yang et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Review Green & Sustainable Science & Technology

A review of the state of health for lithium -ion batteries: Research status and suggestions

Huixin Tian et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Energy & Fuels

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

Wei Liu et al.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2020)

Article Engineering, Electrical & Electronic

State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries

Jinpeng Tian et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2020)

Article Chemistry, Multidisciplinary

SOH Estimation of Lithium-Ion Battery Pack Based on Integrated State Information from Cells

Xiaohong Wang et al.

APPLIED SCIENCES-BASEL (2020)

Article Energy & Fuels

Intelligent state of health estimation for lithium-ion battery pack based on big data analysis

Lingjun Song et al.

JOURNAL OF ENERGY STORAGE (2020)

Article Energy & Fuels

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

Yaxiang Fan et al.

JOURNAL OF ENERGY STORAGE (2020)

Proceedings Paper Engineering, Industrial

A Comparison of Ensemble Machine Learning Techniques for the Estimate of Residual Capacity of Li-Ion Batteries

Antonio Guarino et al.

2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) (2020)

Proceedings Paper Energy & Fuels

Lithium-ion Battery State of Health Estimation Using Empirical Mode Decomposition Sample Entropy and Support Vector Machine

Xin Sui et al.

2020 THIRTY-FIFTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC 2020) (2020)

Article Computer Science, Information Systems

Capacity Estimation of Li-Ion Batteries Using Constant Current Charging Voltage With Multilayer Perceptron

Minjun Park et al.

IEEE ACCESS (2020)

Article Chemistry, Physical

A data-driven fuzzy information granulation approach for battery state of health forecasting

Wenjie Pan et al.

JOURNAL OF POWER SOURCES (2020)

Review Energy & Fuels

Applications of Lithium-Ion Batteries in Grid-Scale Energy Storage Systems

Tianmei Chen et al.

TRANSACTIONS OF TIANJIN UNIVERSITY (2020)

Article Engineering, Electrical & Electronic

Multiobjective Optimization of Data-Driven Model for Lithium-Ion Battery SOH Estimation With Short-Term Feature

Lei Cai et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2020)

Review Computer Science, Artificial Intelligence

Predicting the state of charge and health of batteries using data-driven machine learning

Man-Fai Ng et al.

NATURE MACHINE INTELLIGENCE (2020)

Article Computer Science, Information Systems

Real-Time State-of-Health Estimation of Lithium-Ion Batteries Based on the Equivalent Internal Resistance

Xiaojun Tan et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Li-Ion Batteries Parameter Estimation With Tiny Neural Networks Embedded on Intelligent IoT Microcontrollers

Giulia Crocioni et al.

IEEE ACCESS (2020)

Article Chemistry, Physical

An evolutionary framework for lithium-ion battery state of health estimation

Lei Cai et al.

JOURNAL OF POWER SOURCES (2019)

Article Energy & Fuels

The role of renewable energy in the global energy transformation

Dolf Gielen et al.

ENERGY STRATEGY REVIEWS (2019)

Article Engineering, Electrical & Electronic

Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine

Xuning Feng et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)

Article Automation & Control Systems

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

Houde Dai et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)

Article Computer Science, Artificial Intelligence

State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble

Chao Ma et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)

Review Green & Sustainable Science & Technology

State estimation for advanced battery management: Key challenges and future trends

Xiaosong Hu et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)

Review Green & Sustainable Science & Technology

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

Yi Li et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)

Article Energy & Fuels

A deep learning method for online capacity estimation of lithium-ion batteries

Sheng Shen et al.

JOURNAL OF ENERGY STORAGE (2019)

Article Computer Science, Information Systems

Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles

Yohwan Choi et al.

IEEE ACCESS (2019)

Article Electrochemistry

Application of Artificial Intelligence to State-of-Charge and State-of-Health Estimation of Calendar-Aged Lithium-Ion Pouch Cells

Ali Ghorbani Kashkooli et al.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2019)

Article Electrochemistry

Lifetime Rapid Evaluation Method for Lithium-Ion Battery with Li(NiMnCo)O2 Cathode

Jiuchun Jiang et al.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2019)

Article Computer Science, Information Systems

A Method for Interval Prediction of Satellite Battery State of Health Based on Sample Entropy

Mengda Cao et al.

IEEE ACCESS (2019)

Article Computer Science, Information Systems

Data-Driven State of Health Estimation of Li-Ion Batteries With RPT-Reduced Experimental Data

Jungsoo Kim et al.

IEEE ACCESS (2019)

Article Automation & Control Systems

Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

Jingwen Wei et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)

Article Engineering, Multidisciplinary

Degradation Behavior of Lithium-Ion Batteries During Calendar Ageing-The Case of the Internal Resistance Increase

Daniel-Ioan Stroe et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2018)

Article Green & Sustainable Science & Technology

On-line life cycle health assessment for lithium-ion battery in electric vehicles

Datong Liu et al.

JOURNAL OF CLEANER PRODUCTION (2018)

Article Engineering, Electrical & Electronic

A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries

Qi Zhao et al.

MICROELECTRONICS RELIABILITY (2018)

Article Chemistry, Multidisciplinary

Online State of Health Estimation for Lithium-Ion Batteries Based on Support Vector Machine

Zheng Chen et al.

APPLIED SCIENCES-BASEL (2018)

Article Engineering, Electrical & Electronic

Efficient state of health estimation of Li-ion battery under several ageing types for aeronautic applications

Yuan Ci Zhang et al.

MICROELECTRONICS RELIABILITY (2018)

Article Engineering, Electrical & Electronic

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

Jinhao Meng et al.

MICROELECTRONICS RELIABILITY (2018)

Proceedings Paper Engineering, Industrial

On-Board State of Health Estimation for Lithium-ion Batteries Based on Random Forest

Zheng Chen et al.

2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT) (2018)

Proceedings Paper Automation & Control Systems

Estimation of Li-ion Battery State of Health based on Multilayer Perceptron: as an EV Application

Jungsoo Kim et al.

IFAC PAPERSONLINE (2018)

Article Energy & Fuels

An Online SOC and SOH Estimation Model for Lithium-Ion Batteries

Shyh-Chin Huang et al.

ENERGIES (2017)

Article Automation & Control Systems

Diagnosis of Electric Vehicle Batteries Using Recurrent Neural Networks

Gae-Won You et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)

Article Engineering, Multidisciplinary

Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective

Daniel-Ioan Stroe et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2017)

Article Engineering, Electrical & Electronic

State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks

Hicham Chaoui et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)

Article Green & Sustainable Science & Technology

Lithium-ion battery power degradation modelling by electrochemical impedance spectroscopy

Daniel-Ioan Stroe et al.

IET RENEWABLE POWER GENERATION (2017)

Article Electrochemistry

State of Health Estimation Based on OS-ELM for Lithium-ion Batteries

Yiduo Zhu et al.

INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE (2017)

Article Energy & Fuels

Design of robust battery capacity model for electric vehicle by incorporation of uncertainties

Akhil Garg et al.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2017)

Article Green & Sustainable Science & Technology

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

M. S. Hossain Lipu et al.

JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY (2017)

Article Electrochemistry

A Database for Comparative Electrochemical Performance of Commercial 18650-Format Lithium-Ion Cells

Heather M. Barkholtz et al.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2017)

Article Environmental Studies

Building Tianjin driving cycle based on linear discriminant analysis

Zhecheng Jing et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2017)

Article Computer Science, Artificial Intelligence

Linear discriminant analysis: A detailed tutorial

Alaa Tharwat et al.

AI COMMUNICATIONS (2017)

Article Engineering, Electrical & Electronic

Aging prediction and state of charge estimation of a LiFePO4 battery using input time-delayed neural networks

Hicham Chaoui et al.

ELECTRIC POWER SYSTEMS RESEARCH (2017)

Article Engineering, Multidisciplinary

Degradation Behavior of Lithium-Ion Batteries Based on Lifetime Models and Field Measured Frequency Regulation Mission Profile

Daniel-Ioan Stroe et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2016)

Article Chemistry, Physical

Online state of health estimation on NMC cells based on predictive analytics

Maitane Berecibar et al.

JOURNAL OF POWER SOURCES (2016)

Article Chemistry, Physical

A novel health indicator for on-line lithium-ion batteries remaining useful life prediction

Yapeng Zhou et al.

JOURNAL OF POWER SOURCES (2016)

Article Chemistry, Physical

Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery

Changfu Zou et al.

JOURNAL OF POWER SOURCES (2016)

Review Green & Sustainable Science & Technology

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

M. Berecibar et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)

Article Engineering, Multidisciplinary

Capacity Fade Estimation in Electric Vehicle Li-Ion Batteries Using Artificial Neural Networks

Ala A. Hussein

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2015)

Article Engineering, Electrical & Electronic

An Integrated Probabilistic Approach to Lithium-Ion Battery Remaining Useful Life Estimation

Datong Liu et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2015)

Article Engineering, Electrical & Electronic

Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis

Myeongsu Kang et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2015)

Article Energy & Fuels

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

Guangxing Bai et al.

APPLIED ENERGY (2014)

Article Engineering, Multidisciplinary

Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants

Daniel-Ioan Stroe et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2014)

Article Engineering, Electrical & Electronic

Measurement Techniques for Online Battery State of Health Estimation in Vehicle-to-Grid Applications

Marco Landi et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2014)

Article Chemistry, Physical

Cell degradation in commercial LiFePO4 cells with high-power and high-energy designs

Matthieu Dubarry et al.

JOURNAL OF POWER SOURCES (2014)

Review Chemistry, Physical

Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles

Wladislaw Waag et al.

JOURNAL OF POWER SOURCES (2014)

Article Automation & Control Systems

Estimation of Battery State of Health Using Probabilistic Neural Network

Ho-Ta Lin et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2013)

Article Chemistry, Physical

Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries

Dave Andre et al.

JOURNAL OF POWER SOURCES (2013)

Article Engineering, Electrical & Electronic

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

Yinjiao Xing et al.

MICROELECTRONICS RELIABILITY (2013)

Article Engineering, Electrical & Electronic

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

Jonghoon Kim et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2012)

Article Engineering, Electrical & Electronic

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

Akram Eddahech et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2012)

Article Computer Science, Artificial Intelligence

Intelligent prognostics for battery health monitoring based on sample entropy

Achmad Widodo et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Computer Science, Artificial Intelligence

Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression

Kris De Brabanter et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)

Article Computer Science, Artificial Intelligence

System Identification and Estimation Framework for Pivotal Automotive Battery Management System Characteristics

Bharath Pattipati et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2011)

Article Computer Science, Artificial Intelligence

A Novel Technique for Subpixel Image Classification Based on Support Vector Machine

Francesca Bovolo et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2010)

Article Engineering, Electrical & Electronic

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

Bhaskar Saha et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2009)

Article Computer Science, Artificial Intelligence

Extreme learning machine: Theory and applications

Guang-Bin Huang et al.

NEUROCOMPUTING (2006)

Article Chemistry, Physical

Main aging mechanisms in Li ion batteries

M Broussely et al.

JOURNAL OF POWER SOURCES (2005)

Review Computer Science, Theory & Methods

A tutorial on support vector regression

AJ Smola et al.

STATISTICS AND COMPUTING (2004)