Useful life prediction based on wavelet packet decomposition and two-dimensional convolutional neural network for lithium-ion batteries
出版年份 2021 全文链接
标题
Useful life prediction based on wavelet packet decomposition and two-dimensional convolutional neural network for lithium-ion batteries
作者
关键词
Remaining useful life- forecasting, Lithium-ion batteries, WPD, Two-D CNN
出版物
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 148, Issue -, Pages 111287
出版商
Elsevier BV
发表日期
2021-06-12
DOI
10.1016/j.rser.2021.111287
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Battery state of health modeling and remaining useful life prediction through time series model
- (2020) Chun-Pang Lin et al. APPLIED ENERGY
- A New Combinatory Approach for Wind Power Forecasting
- (2020) Oveis Abedinia et al. IEEE Systems Journal
- Improved EMD-Based Complex Prediction Model for Wind Power Forecasting
- (2020) Oveis Abedinia et al. IEEE Transactions on Sustainable Energy
- Renewable Energy Sources and Battery Forecasting Effects in Smart Power System Performance
- (2019) Mehdi Bagheri et al. Energies
- A novel ensemble model of different mother wavelets for wind speed multi-step forecasting
- (2018) Hui Liu et al. APPLIED ENERGY
- Remaining Useful Life Prediction of Lithium-Ion Battery Based on Gauss-Hermite Particle Filter
- (2018) Yan Ma et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- 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
- 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
- Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries
- (2018) Yongzhi Zhang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- The Remaining Useful Life Estimation of Lithium-ion Battery Based on Improved Extreme Learning Machine Algorithm
- (2018) Jing Yang et al. International Journal of Electrochemical Science
- A novel hybrid prediction model for aggregated loads of buildings by considering the electric vehicles
- (2018) Min Duan et al. Sustainable Cities and Society
- Enhancing the Lithium-ion battery life predictability using a hybrid method
- (2018) Ling-Ling Li et al. APPLIED SOFT COMPUTING
- Remaining useful life prediction of lithium-ion battery using an improved UPF method based on MCMC
- (2017) Xin Zhang et al. MICROELECTRONICS RELIABILITY
- An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
- (2016) Ji Wu et al. APPLIED ENERGY
- A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
- (2015) Meru A. Patil et al. APPLIED ENERGY
- Robust prognostics for state of health estimation of lithium-ion batteries based on an improved PSO–SVR model
- (2015) Taichun Qin et al. MICROELECTRONICS RELIABILITY
- An integrated unscented kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction
- (2015) Xiujuan Zheng et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Lithium-ion battery remaining useful life prediction based on grey support vector machines
- (2015) Xiaogang Li et al. Advances in Mechanical Engineering
- A generic model-free approach for lithium-ion battery health management
- (2014) Guangxing Bai et al. APPLIED ENERGY
- A naive Bayes model for robust remaining useful life prediction of lithium-ion battery
- (2014) Selina S.Y. Ng et al. APPLIED ENERGY
- A new metaheuristic algorithm based on shark smell optimization
- (2014) Oveis Abedinia et al. COMPLEXITY
- Prognostics of Lithium-Ion Batteries Based on Battery Performance Analysis and Flexible Support Vector Regression
- (2014) Shuai Wang et al. Energies
- Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error
- (2014) Shengjin Tang et al. Energies
- A Mutated Particle Filter Technique for System State Estimation and Battery Life Prediction
- (2014) De Z. Li et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- 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
- 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
- Artificial Fish Swarm Algorithm-Based Particle Filter for Li-Ion Battery Life Prediction
- (2014) Ye Tian et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function
- (2013) Yi Chen et al. Energies
- Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model
- (2013) Dong Wang et al. JOURNAL OF POWER SOURCES
- Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression
- (2013) Datong Liu et al. MICROELECTRONICS RELIABILITY
- An improved autoregressive model by particle swarm optimization for prognostics of lithium-ion batteries
- (2013) Bing Long et al. MICROELECTRONICS RELIABILITY
- A Hybrid LSSVR/HMM-Based Prognostic Approach
- (2013) Zhijuan Liu et al. SENSORS
- 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
- A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation
- (2011) Chao Hu et al. APPLIED ENERGY
- Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
- (2011) Wei He et al. JOURNAL OF POWER SOURCES
- Mathematical Modeling of Lithium Iron Phosphate Electrode: Galvanostatic Charge/Discharge and Path Dependence
- (2010) M. Safari et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
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