An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machine
出版年份 2021 全文链接
标题
An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machine
作者
关键词
Electric vehicles, Lithium-ion battery, Remaining useful life prediction, Data driven fusion algorithm, Unscented particle filter, Least squares support vector regression
出版物
MEASUREMENT
Volume 184, Issue -, Pages 109935
出版商
Elsevier BV
发表日期
2021-07-30
DOI
10.1016/j.measurement.2021.109935
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。- Remaining useful life prediction of aircraft lithium-ion batteries based on F-distribution particle filter and kernel smoothing algorithm
- (2020) Kai ZHANG et al. Chinese Journal of Aeronautics
- Clusterwise support vector linear regression
- (2020) Kaisa Joki et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Chaotic time series prediction using phase space reconstruction based conceptor network
- (2020) Anguo Zhang et al. Cognitive Neurodynamics
- Remaining useful life prediction for Lithium-ion batteries using fractional Brownian motion and Fruit-fly Optimization Algorithm
- (2020) Haiyang Wang et al. MEASUREMENT
- A hybrid prognostic strategy with unscented particle filter and optimized multiple kernel relevance vector machine for lithium-ion battery
- (2020) Xiaofei Sun et al. MEASUREMENT
- A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes
- (2020) He Liu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method
- (2019) Sen Zhao et al. MEASUREMENT
- Distribution System Services Provided by Electric Vehicles: Recent Status, Challenges, and Future Prospects
- (2019) Nataly Banol Arias et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter
- (2019) Bin Duan et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Selective health indicator for bearings ensemble remaining useful life prediction with genetic algorithm and Weibull proportional hazards model
- (2019) Guangqi Qiu et al. MEASUREMENT
- An Enhanced Deep Learning-Based Fusion Prognostic Method for RUL Prediction
- (2019) Cheng-Geng Huang et al. IEEE TRANSACTIONS ON RELIABILITY
- Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm
- (2018) Yuchen SONG et al. Chinese Journal of Aeronautics
- 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
- Remaining useful life prediction for lithium-ion batteries based on an integrated health indicator
- (2018) Yongquan Sun et al. MICROELECTRONICS RELIABILITY
- Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batteries
- (2018) YongZhi Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Influence of Measurement and Prediction Uncertainties on Range Estimation for Electric Vehicles
- (2017) Stefan Sautermeister et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Energy efficiency: a critically important but neglected factor in battery research
- (2017) Ali Eftekhari Sustainable Energy & Fuels
- Electric vehicle state of charge estimation: Nonlinear correlation and fuzzy support vector machine
- (2015) Hanmin Sheng et al. JOURNAL OF POWER SOURCES
- A robust weighted least squares support vector regression based on least trimmed squares
- (2015) Chuanfa Chen et al. NEUROCOMPUTING
- 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
- Review of Hybrid Prognostics Approaches for Remaining Useful Life Prediction of Engineered Systems, and an Application to Battery Life Prediction
- (2014) Linxia Liao et al. IEEE TRANSACTIONS ON RELIABILITY
- Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter
- (2014) Hancheng Dong et al. JOURNAL OF POWER SOURCES
- Modified unscented particle filter for nonlinear Bayesian tracking
- (2014) Ronohui Zhan et al. Journal of Systems Engineering and Electronics
- An improved autoregressive model by particle swarm optimization for prognostics of lithium-ion batteries
- (2013) Bing Long et al. MICROELECTRONICS RELIABILITY
- Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm
- (2013) Datong Liu et al. NEURAL COMPUTING & APPLICATIONS
- Estimation of Battery State of Health Using Probabilistic Neural Network
- (2012) Ho-Ta Lin et al. IEEE Transactions on Industrial Informatics
- A review on the key issues for lithium-ion battery management in electric vehicles
- (2012) Languang Lu et al. JOURNAL OF POWER SOURCES
- 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
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