An estimation model for state of health of lithium-ion batteries using energy-based features
出版年份 2021 全文链接
标题
An estimation model for state of health of lithium-ion batteries using energy-based features
作者
关键词
State of health, Lithium-ion batteries, Energy-based features, Gaussian progress regression, Incomplete discharging
出版物
Journal of Energy Storage
Volume 46, Issue -, Pages 103846
出版商
Elsevier BV
发表日期
2021-12-30
DOI
10.1016/j.est.2021.103846
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 novel method for the modeling of the state of health of lithium-ion cells using machine learning for practical applications
- (2021) Damian Burzyński et al. KNOWLEDGE-BASED SYSTEMS
- Deep neural network battery charging curve prediction using 30 points collected in 10 min
- (2021) Jinpeng Tian et al. Joule
- Capacity estimation for lithium-ion battery using experimental feature interval approach
- (2020) Pucheng Pei et al. ENERGY
- A rest-time-based prognostic model for remaining useful life prediction of lithium-ion battery
- (2020) Liming Deng et al. NEURAL COMPUTING & APPLICATIONS
- State of Health Estimation for Lithium-Ion Batteries Based on the Constant Current–Constant Voltage Charging Curve
- (2020) Bin Xiao et al. Electronics
- 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
- Comparative study of curve determination methods for incremental capacity analysis and state of health estimation of lithium-ion battery
- (2020) Jiangtao He et al. Journal of Energy Storage
- 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 charge estimation for lithium-ion battery based on an Intelligent Adaptive Extended Kalman Filter with improved noise estimator
- (2020) Daoming Sun et al. ENERGY
- A novel deep learning framework for state of health estimation of lithium-ion battery
- (2020) Yaxiang Fan et al. Journal of Energy Storage
- A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery
- (2020) Kailong Liu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning
- (2020) Xiaosong Hu et al. IEEE Transactions on Transportation Electrification
- A comparison of methodologies for the non-invasive characterisation of commercial Li-ion cells
- (2019) Anup Barai et al. PROGRESS IN ENERGY AND COMBUSTION SCIENCE
- State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression
- (2019) Xiaoyu Li et al. ENERGY
- 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
- 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
- A comprehensive model for lithium-ion batteries: From the physical principles to an electrical model
- (2018) Alberto Berrueta et al. ENERGY
- Battery State-of-Charge Estimation Based on Regular/Recurrent Gaussian Process Regression
- (2018) Gozde O. Sahinoglu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- 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
- Gaussian Process Regression for In-situ Capacity Estimation of Lithium-ion Batteries
- (2018) Robert R. Richardson et al. IEEE Transactions on Industrial Informatics
- 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
- State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble
- (2018) Jianbo Yu RELIABILITY ENGINEERING & SYSTEM SAFETY
- Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment
- (2018) Bolun Xu et al. IEEE Transactions on Smart Grid
- Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine
- (2018) Jinhao Meng et al. MICROELECTRONICS RELIABILITY
- State of health estimation of lithium-ion batteries based on the constant voltage charging curve
- (2018) Zengkai Wang et al. 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
- Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds
- (2018) Austin Downey et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- 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
- 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
- Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes
- (2017) Taedong Goh et al. ENERGY
- A lead-acid battery's remaining useful life prediction by using electrochemical model in the Particle Filtering framework
- (2017) Chao Lyu et al. ENERGY
- Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator
- (2017) Yujie Wang et al. ENERGY
- Gaussian process regression for forecasting battery state of health
- (2017) Robert R. Richardson et al. JOURNAL OF POWER SOURCES
- Real-time state-of-health estimation for electric vehicle batteries: A data-driven approach
- (2016) Gae-won You et al. APPLIED ENERGY
- State-of-health estimation of lithium-ion battery packs in electric vehicles based on genetic resampling particle filter
- (2016) Jun Bi 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
- 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
- Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles
- (2015) Yuan Zou et al. JOURNAL OF POWER SOURCES
- Synthesize battery degradation modes via a diagnostic and prognostic model
- (2012) Matthieu Dubarry et al. JOURNAL OF POWER SOURCES
- 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 NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started