Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression
出版年份 2021 全文链接
标题
Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression
作者
关键词
Remaining useful life, Interacting multiple model, Particle filter, Support vector regression
出版物
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 210, Issue -, Pages 107542
出版商
Elsevier BV
发表日期
2021-02-15
DOI
10.1016/j.ress.2021.107542
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。- 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
- A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
- (2020) Yujie Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A hybrid prognostic method for system degradation based on particle filter and relevance vector machine
- (2019) Yang Chang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
- (2019) Prashant Shrivastava 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
- Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression
- (2019) Zhiwei Xue et al. NEUROCOMPUTING
- Parameter optimization of support vector regression based on sine cosine algorithm
- (2018) Sai Li et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Practical Lithium-Ion Battery Model for State of Energy and Voltage Responses Prediction Incorporating Temperature and Ageing Effects
- (2018) Kaiyuan Li et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble
- (2018) Jianbo Yu RELIABILITY ENGINEERING & SYSTEM SAFETY
- An integrated imputation-prediction scheme for prognostics of battery data with missing observations
- (2018) Roozbeh Razavi-Far et al. EXPERT SYSTEMS WITH APPLICATIONS
- Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model
- (2017) Fangfang Yang et al. MICROELECTRONICS RELIABILITY
- Interacting multiple model particle filter for prognostics of lithium-ion batteries
- (2017) Xiaohong Su et al. MICROELECTRONICS RELIABILITY
- Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter
- (2016) Dong Wang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- 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
- Prognostics of Lithium-Ion Batteries Based on the Verhulst Model, Particle Swarm Optimization and Particle Filter
- (2013) Weiming Xian et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Improved adaptive state-of-charge estimation for batteries using a multi-model approach
- (2013) Huazhen Fang et al. JOURNAL OF POWER SOURCES
- An ensemble model for predicting the remaining useful performance of lithium-ion batteries
- (2013) Yinjiao Xing et al. MICROELECTRONICS RELIABILITY
- Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression
- (2013) Datong Liu et al. MICROELECTRONICS RELIABILITY
- Online State-of-Health Assessment for Battery Management Systems
- (2011) M V Micea et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- 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
- Remaining useful life estimation – A review on the statistical data driven approaches
- (2010) Xiao-Sheng Si et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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