A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
出版年份 2021 全文链接
标题
A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
作者
关键词
Lithium-ion battery, Machine learning, Deep learning, State of health, Health monitoring, Battery management system
出版物
APPLIED ENERGY
Volume 300, Issue -, Pages 117346
出版商
Elsevier BV
发表日期
2021-07-10
DOI
10.1016/j.apenergy.2021.117346
参考文献
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。- 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
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started