On the feature selection for battery state of health estimation based on charging–discharging profiles
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Title
On the feature selection for battery state of health estimation based on charging–discharging profiles
Authors
Keywords
Lithium-ion battery, Health indicator, State of health, Grey relation analysis
Journal
Journal of Energy Storage
Volume 33, Issue -, Pages 102122
Publisher
Elsevier BV
Online
2020-12-02
DOI
10.1016/j.est.2020.102122
References
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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
- SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators
- (2020) Jianfang Jia et al. Energies
- 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
- Rate dependency of incremental capacity analysis (dQ/dV) as a diagnostic tool for lithium-ion batteries
- (2020) A. Fly et al. Journal of Energy Storage
- Battery state of health modeling and remaining useful life prediction through time series model
- (2020) Chun-Pang Lin et al. APPLIED ENERGY
- 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 comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
- (2020) Yujie Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Load-responsive model switching estimation for state of charge of lithium-ion batteries
- (2019) Xiaopeng Tang et al. APPLIED ENERGY
- An indirect RUL prognosis for lithium-ion battery under vibration stress using Elman neural network
- (2019) Wenhua Li et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Capacity degradation in commercial Li-ion cells: The effects of charge protocol and temperature
- (2019) Han Wang et al. JOURNAL OF POWER SOURCES
- Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles
- (2019) Jinhao Meng et al. ENERGY
- An enhanced multi-state estimation hierarchy for advanced lithium-ion battery management
- (2019) Xiaosong Hu et al. APPLIED ENERGY
- State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression
- (2019) Xiaoyu Li et al. 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
- Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis
- (2019) Piyush Tagade et al. JOURNAL OF POWER SOURCES
- Online Impedance Measurement of Batteries Using the Cross-Correlation Technique
- (2019) Taha Nurettin Gucin et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation
- (2018) J. Li et al. APPLIED ENERGY
- State of health diagnosis model for lithium ion batteries based on real-time impedance and open circuit voltage parameters identification method
- (2018) Yingzhi Cui et al. ENERGY
- Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries
- (2018) Linfeng Zheng et al. ENERGY
- Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries
- (2018) Ephrem Chemali et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Lithium-ion battery remaining useful life prediction with Box-Cox transformation and Monte Carlo simulation
- (2018) Yongzhi Zhang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- 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
- A fast estimation algorithm for lithium-ion battery state of health
- (2018) Xiaopeng Tang et al. JOURNAL OF POWER SOURCES
- A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity
- (2018) Lin Chen et al. MEASUREMENT
- Online State of Health Estimation for Lithium-Ion Batteries Based on Support Vector Machine
- (2018) Zheng Chen et al. Applied Sciences-Basel
- An On-line State of Health Estimation of Lithiumion Battery using Unscented Particle Filter
- (2018) Datong Liu et al. IEEE Access
- Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles
- (2018) Rui Xiong et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging
- (2018) Xiaopeng Tang et al. ENERGY CONVERSION AND MANAGEMENT
- 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 data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction
- (2018) Peiyao Guo et al. JOURNAL OF POWER SOURCES
- State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters
- (2018) F. Cadini et al. APPLIED ENERGY
- Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes
- (2017) Taedong Goh et al. ENERGY
- Practical failure recognition model of lithium-ion batteries based on partial charging process
- (2017) Kunlong Chen et al. ENERGY
- Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks
- (2017) Claudio Sbarufatti et al. JOURNAL OF POWER SOURCES
- A probabilistic approach for prognosis of battery pack aging
- (2017) Chin-Yao Chang et al. JOURNAL OF POWER SOURCES
- A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems
- (2017) Carlos Pastor-Fernández et al. JOURNAL OF POWER SOURCES
- A capacity model based on charging process for state of health estimation of lithium ion batteries
- (2016) Xue Li et al. APPLIED ENERGY
- State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
- (2016) Caihao Weng 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
- Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime
- (2016) Martin Petit et al. APPLIED ENERGY
- State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application
- (2016) Maitane Berecibar et al. ENERGY
- Remaining useful lifetime prediction based on the damage-marker bivariate degradation model: A case study on lithium-ion batteries used in electric vehicles
- (2016) Jing Feng et al. ENGINEERING FAILURE ANALYSIS
- Life cycle assessment of lithium-air battery cells
- (2016) Mats Zackrisson et al. JOURNAL OF CLEANER PRODUCTION
- Online state of health estimation on NMC cells based on predictive analytics
- (2016) Maitane Berecibar et al. JOURNAL OF POWER SOURCES
- Extending battery life: A low-cost practical diagnostic technique for lithium-ion batteries
- (2016) Yu Merla 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
- 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
- Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy
- (2015) Matteo Galeotti et al. ENERGY
- Practical state of health estimation of power batteries based on Delphi method and grey relational grade analysis
- (2015) Bingxiang Sun et al. JOURNAL OF POWER SOURCES
- Online estimation of lithium-ion battery remaining discharge capacity through differential voltage analysis
- (2015) Guangming Liu et al. JOURNAL OF POWER SOURCES
- 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
- 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
- Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility
- (2014) Seyed Mohammad Rezvanizaniani et al. JOURNAL OF POWER SOURCES
- Modeling of degradation effects considering side reactions for a pouch type Li-ion polymer battery with carbon anode
- (2014) Rujian Fu et al. JOURNAL OF POWER SOURCES
- Remaining capacity estimation of Li-ion batteries based on temperature sample entropy and particle filter
- (2014) Junfu Li et al. JOURNAL OF POWER SOURCES
- Li-ion battery capacity estimation: A geometrical approach
- (2014) Chen Lu et al. JOURNAL OF POWER SOURCES
- Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine
- (2014) Hong Li et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles
- (2013) Xiaosong Hu et al. ENERGY
- On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
- (2013) Caihao Weng et al. JOURNAL OF POWER SOURCES
- A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification
- (2013) Xuebing Han et al. JOURNAL OF POWER SOURCES
- An improved autoregressive model by particle swarm optimization for prognostics of lithium-ion batteries
- (2013) Bing Long et al. MICROELECTRONICS RELIABILITY
- Influence of plug-in hybrid electric vehicle charging strategies on charging and battery degradation costs
- (2012) Benedikt Lunz et al. ENERGY POLICY
- Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data
- (2012) Madeleine Ecker et al. JOURNAL OF POWER SOURCES
- Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
- (2012) Adnan Nuhic et al. JOURNAL OF POWER SOURCES
- Remaining useful life prediction of lithium-ion battery with unscented particle filter technique
- (2012) Qiang Miao et al. MICROELECTRONICS RELIABILITY
- Intelligent prognostics for battery health monitoring based on sample entropy
- (2011) Achmad Widodo et al. EXPERT SYSTEMS WITH APPLICATIONS
- System Identification and Estimation Framework for Pivotal Automotive Battery Management System Characteristics
- (2011) Bharath Pattipati et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- State-of-Charge Estimation and State-of-Health Prediction of a Li-Ion Degraded Battery Based on an EKF Combined With a Per-Unit System
- (2011) Jonghoon Kim et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part I: Initial characterizations
- (2011) Matthieu Dubarry et al. JOURNAL OF POWER SOURCES
- Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part II. Degradation mechanism under 2C cycle aging
- (2011) Matthieu Dubarry et al. JOURNAL OF POWER SOURCES
- Capacity-fading prediction of lithium-ion batteries based on discharge curves analysis
- (2011) Kohei Honkura et al. JOURNAL OF POWER SOURCES
- A review of the features and analyses of the solid electrolyte interphase in Li-ion batteries
- (2010) Pallavi Verma et al. ELECTROCHIMICA ACTA
- Cycle-life model for graphite-LiFePO4 cells
- (2010) John Wang et al. JOURNAL OF POWER SOURCES
- 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
- Auxiliary diagnosis method for lead–acid battery health based on sample entropy
- (2009) Yu-Hua Sun et al. ENERGY CONVERSION AND MANAGEMENT
- Identify capacity fading mechanism in a commercial LiFePO4 cell
- (2009) Matthieu Dubarry et al. JOURNAL OF POWER SOURCES
- Cycle-Life Characterization of Automotive Lithium-Ion Batteries with LiNiO[sub 2] Cathode
- (2009) Yancheng Zhang et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Comparison of different approaches for lifetime prediction of electrochemical systems—Using lead-acid batteries as example
- (2007) Dirk Uwe Sauer et al. JOURNAL OF POWER SOURCES
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