A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Authors
Keywords
Lithium-ion battery, Machine learning, Deep learning, State of health, Health monitoring, Battery management system
Journal
APPLIED ENERGY
Volume 300, Issue -, Pages 117346
Publisher
Elsevier BV
Online
2021-07-10
DOI
10.1016/j.apenergy.2021.117346
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A hybrid statistical data-driven method for on-line joint state estimation of lithium-ion batteries
- (2020) Yuchen Song et al. APPLIED ENERGY
- A New Lithium-Ion Battery SOH Estimation Method Based on an Indirect Enhanced Health Indicator and Support Vector Regression in PHMs
- (2020) Zhengyu Liu et al. Energies
- An ensemble prognostic method for lithium-ion battery capacity estimation based on time-varying weight allocation
- (2020) Yujie Cheng et al. APPLIED ENERGY
- A Method for the Combined Estimation of Battery State of Charge and State of Health Based on Artificial Neural Networks
- (2020) Angelo Bonfitto Energies
- Online state of health prediction method for lithium-ion batteries, based on gated recurrent unit neural networks
- (2020) Lucian Ungurean et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network
- (2020) Penghua Li et al. JOURNAL OF POWER SOURCES
- State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression
- (2020) Xiaoyu Li et al. ENERGY
- State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity
- (2020) Qingxia Yang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A review of the state of health for lithium-ion batteries: Research status and suggestions
- (2020) Huixin Tian et al. JOURNAL OF CLEANER PRODUCTION
- An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries
- (2020) Arunava Naha et al. Scientific Reports
- State of Health Estimation for Lithium-Ion Batteries Based on the Constant Current–Constant Voltage Charging Curve
- (2020) Bin Xiao et al. Electronics
- An optimized ensemble learning framework for lithium-ion Battery State of Health estimation in energy storage system
- (2020) Jinhao Meng et al. ENERGY
- 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-Health Estimation Based on Differential Temperature for Lithium Ion Batteries
- (2020) Jinpeng Tian et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- 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
- SOH Estimation of Lithium-Ion Battery Pack Based on Integrated State Information from Cells
- (2020) Xiaohong Wang et al. Applied Sciences-Basel
- A novel deep learning framework for state of health estimation of lithium-ion battery
- (2020) Yaxiang Fan et al. Journal of Energy Storage
- On the feature selection for battery state of health estimation based on charging–discharging profiles
- (2020) Yuanyuan Li et al. Journal of Energy Storage
- Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries
- (2019) Yuanwang Deng et al. ENERGY
- A Data-Driven Predictive Prognostic Model for Lithium-Ion Batteries based on a Deep Learning Algorithm
- (2019) Phattara Khumprom et al. Energies
- Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles
- (2019) Xiaoyu Li et al. ENERGY
- The role of renewable energy in the global energy transformation
- (2019) Dolf Gielen et al. Energy Strategy Reviews
- Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine
- (2019) Xuning Feng et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- 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
- State-of-Health Estimation of Li-ion Batteries in Electric Vehicle Using IndRNN under Variable Load Condition
- (2019) Prakash Venugopal et al. Energies
- State estimation for advanced battery management: Key challenges and future trends
- (2019) Xiaosong Hu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
- (2019) Yi Li et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- The Effect of Voltage Dataset Selection on the Accuracy of Entropy-Based Capacity Estimation Methods for Lithium-Ion Batteries
- (2019) Xin Sui et al. Applied Sciences-Basel
- Incremental Capacity Curve Peak Points-Based Regression Analysis for the State-of-Health Prediction of a Retired LiNiCoAlO2 Series/Parallel Configured Battery Pack
- (2019) Lee et al. Electronics
- A deep learning method for online capacity estimation of lithium-ion batteries
- (2019) Sheng Shen et al. Journal of Energy Storage
- Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries
- (2019) Sheng Shen et al. APPLIED ENERGY
- Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique
- (2019) Daniel-Ioan Stroe et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- 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
- Novel battery state-of-health online estimation method using multiple health indicators and an extreme learning machine
- (2018) Haihong Pan 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
- Degradation Behavior of Lithium-Ion Batteries During Calendar Ageing—The Case of the Internal Resistance Increase
- (2018) Daniel-Ioan Stroe et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- On-line life cycle health assessment for lithium-ion battery in electric vehicles
- (2018) Datong Liu et al. JOURNAL OF CLEANER PRODUCTION
- 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 prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries
- (2018) Qi Zhao et al. MICROELECTRONICS RELIABILITY
- State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble
- (2018) Jianbo Yu RELIABILITY ENGINEERING & SYSTEM SAFETY
- Online State of Health Estimation for Lithium-Ion Batteries Based on Support Vector Machine
- (2018) Zheng Chen et al. Applied Sciences-Basel
- Incremental Capacity Analysis on Commercial Lithium-Ion Batteries Using Support Vector Regression: A Parametric Study
- (2018) Xuning Feng et al. Energies
- A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations
- (2018) M.S. Hossain Lipu et al. JOURNAL OF CLEANER PRODUCTION
- Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine
- (2018) Jinhao Meng et al. MICROELECTRONICS RELIABILITY
- Efficient state of health estimation of Li-ion battery under several ageing types for aeronautic applications
- (2018) Yuan Ci Zhang et al. MICROELECTRONICS RELIABILITY
- Battery Aging Prediction Using Input-Time-Delayed Based on an Adaptive Neuro-Fuzzy Inference System and a Group Method of Data Handling Techniques
- (2018) Omid Rahbari et al. Applied Sciences-Basel
- Random forest regression for online capacity estimation of lithium-ion batteries
- (2018) Yi Li et al. APPLIED 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
- Towards a smarter battery management system: A critical review on battery state of health monitoring methods
- (2018) Rui Xiong et al. JOURNAL OF POWER SOURCES
- An evolutionary framework for lithium-ion battery state of health estimation
- (2018) Lei Cai 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
- An Online SOC and SOH Estimation Model for Lithium-Ion Batteries
- (2017) Shyh-Chin Huang et al. Energies
- Diagnosis of Electric Vehicle Batteries Using Recurrent Neural Networks
- (2017) Gae-Won You et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective
- (2017) Daniel-Ioan Stroe et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks
- (2017) Hicham Chaoui et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Lithium-ion battery power degradation modelling by electrochemical impedance spectroscopy
- (2017) Daniel-Ioan Stroe et al. IET Renewable Power Generation
- Design of robust battery capacity model for electric vehicle by incorporation of uncertainties
- (2017) Akhil Garg et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- A Database for Comparative Electrochemical Performance of Commercial 18650-Format Lithium-Ion Cells
- (2017) Heather M. Barkholtz et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Building Tianjin driving cycle based on linear discriminant analysis
- (2017) Zhecheng Jing et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- 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
- On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis
- (2016) Limei Wang 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
- Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery
- (2016) Zhongwei Deng et al. ENERGY
- Degradation Behavior of Lithium-Ion Batteries Based on Lifetime Models and Field Measured Frequency Regulation Mission Profile
- (2016) Daniel-Ioan Stroe et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Online state of health estimation on NMC cells based on predictive analytics
- (2016) Maitane Berecibar et al. JOURNAL OF POWER SOURCES
- 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
- A novel health indicator for on-line lithium-ion batteries remaining useful life prediction
- (2016) Yapeng Zhou et al. JOURNAL OF POWER SOURCES
- Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery
- (2016) Changfu Zou et al. JOURNAL OF POWER SOURCES
- Critical review of state of health estimation methods of Li-ion batteries for real applications
- (2016) M. Berecibar et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Residual lifetime prediction for lithium-ion battery based on functional principal component analysis and Bayesian approach
- (2015) Yujie Cheng et al. ENERGY
- Discharge capacity estimation for Li-ion batteries based on particle filter under multi-operating conditions
- (2015) Junfu Li et al. ENERGY
- An Integrated Probabilistic Approach to Lithium-Ion Battery Remaining Useful Life Estimation
- (2015) Datong Liu et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis
- (2015) Myeongsu Kang et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- A multi time-scale state-of-charge and state-of-health estimation framework using nonlinear predictive filter for lithium-ion battery pack with passive balance control
- (2015) Yin Hua et al. JOURNAL OF POWER SOURCES
- Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles
- (2015) Alexander Farmann et al. JOURNAL OF POWER SOURCES
- A generic model-free approach for lithium-ion battery health management
- (2014) Guangxing Bai 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
- Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants
- (2014) Daniel-Ioan Stroe et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Measurement Techniques for Online Battery State of Health Estimation in Vehicle-to-Grid Applications
- (2014) Marco Landi et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Understanding Lithium Inventory Loss and Sudden Performance Fade in Cylindrical Cells during Cycling with Deep-Discharge Steps
- (2014) E. Sarasketa-Zabala et al. Journal of Physical Chemistry C
- A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation
- (2014) Verena Klass et al. JOURNAL OF POWER SOURCES
- Cell degradation in commercial LiFePO4 cells with high-power and high-energy designs
- (2014) Matthieu Dubarry et al. JOURNAL OF POWER SOURCES
- Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
- (2014) Wladislaw Waag et al. JOURNAL OF POWER SOURCES
- Satellite Lithium-Ion Battery Remaining Cycle Life Prediction with Novel Indirect Health Indicator Extraction
- (2013) Datong Liu et al. Energies
- Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles
- (2013) Xiaosong Hu et al. ENERGY
- An ensemble model for predicting the remaining useful performance of lithium-ion batteries
- (2013) Yinjiao Xing et al. MICROELECTRONICS RELIABILITY
- Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression
- (2013) Luca Ghelardoni et al. IEEE Transactions on Smart Grid
- Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application
- (2012) Wladislaw Waag et al. APPLIED ENERGY
- Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electricvehicles
- (2012) D. Andre et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Estimation of Battery State of Health Using Probabilistic Neural Network
- (2012) Ho-Ta Lin et al. IEEE Transactions on Industrial Informatics
- 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
- Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries
- (2012) Dave Andre et al. JOURNAL OF POWER SOURCES
- Intelligent prognostics for battery health monitoring based on sample entropy
- (2011) Achmad Widodo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Complementary Cooperation Algorithm Based on DEKF Combined With Pattern Recognition for SOC/Capacity Estimation and SOH Prediction
- (2011) Jonghoon Kim et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- A Novel Technique for Subpixel Image Classification Based on Support Vector Machine
- (2010) Francesca Bovolo et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression
- (2010) Kris De Brabanter et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- 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
- Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
- (2008) B. Saha et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation