Remaining useful life estimation of lithium-ion battery using exemplar-based conditional particle filter

2015 IEEE Conference on Prognostics and Health Management (PHM) ◽

10.1109/icphm.2015.7245046 ◽

2015 ◽

Author(s):

Zhenbao Liu ◽

Gaoyuan Sun ◽

Shuhui Bu ◽

Chao Zhang

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

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Prognosis and Remaining Useful Life Estimation of Lithium-Ion Battery with Optimal Multi-Level Particle Filter and Genetic Algorithm

Batteries ◽

10.3390/batteries4020015 ◽

2018 ◽

Vol 4 (2) ◽

pp. 15 ◽

Author(s):

Chinedu Ossai

Keyword(s):

Genetic Algorithm ◽

Particle Filter ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

Useful Life ◽

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Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107542 ◽

2021 ◽

Vol 210 ◽

pp. 107542 ◽

Author(s):

Sai Li ◽

Huajing Fang ◽

Bing Shi

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

Interacting Multiple Model ◽

Multiple Model ◽

Life Estimation ◽

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Remaining useful life prediction for lithium-ion battery by combining an improved particle filter with sliding-window gray model

Energy Reports ◽

10.1016/j.egyr.2020.07.026 ◽

2020 ◽

Vol 6 ◽

pp. 2086-2093

Author(s):

Lin Chen ◽

Jingjing An ◽

Huimin Wang ◽

Mo Zhang ◽

Haihong Pan

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Sliding Window ◽

Remaining Useful Life ◽

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Remaining useful life prediction of lithium-ion battery with unscented particle filter technique

Microelectronics Reliability ◽

10.1016/j.microrel.2012.12.004 ◽

2013 ◽

Vol 53 (6) ◽

pp. 805-810 ◽

Author(s):

Qiang Miao ◽

Lei Xie ◽

Hengjuan Cui ◽

Wei Liang ◽

Michael Pecht

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Filter Technique ◽

Unscented Particle Filter ◽

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Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter

International Journal of Energy Research ◽

10.1002/er.5002 ◽

2019 ◽

Vol 44 (3) ◽

pp. 1724-1734 ◽

Author(s):

Bin Duan ◽

Qi Zhang ◽

Fei Geng ◽

Chenghui Zhang

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

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The Remaining Useful Life Estimation of Lithium-ion Battery Based on Improved Extreme Learning Machine Algorithm

International Journal of Electrochemical Science ◽

10.20964/2018.05.84 ◽

2018 ◽

pp. 4991-5004 ◽

Author(s):

Jing Yang ◽

Keyword(s):

Lithium Ion Battery ◽

Extreme Learning Machine ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

Useful Life ◽

Learning Machine

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Remaining Useful Life Prediction of Lithium-Ion Battery Based on Gauss–Hermite Particle Filter

IEEE Transactions on Control Systems Technology ◽

10.1109/tcst.2018.2819965 ◽

2019 ◽

Vol 27 (4) ◽

pp. 1788-1795 ◽

Author(s):

Yan Ma ◽

Yang Chen ◽

Xiuwen Zhou ◽

Hong Chen

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

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Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method

Journal of Power Sources ◽

10.1016/j.jpowsour.2020.227700 ◽

2020 ◽

Vol 450 ◽

pp. 227700 ◽

Author(s):

Xianghui Qiu ◽

Weixiong Wu ◽

Shuangfeng Wang

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Estimation Method ◽

Lithium Ion ◽

Cuckoo Search ◽

Remaining Useful Life ◽

State Of Charge ◽

Useful Life ◽

State Of Charge Estimation

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Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter

Journal of Power Sources ◽

10.1016/j.jpowsour.2014.07.176 ◽

2014 ◽

Vol 271 ◽

pp. 114-123 ◽

Author(s):

Hancheng Dong ◽

Xiaoning Jin ◽

Yangbing Lou ◽

Changhong Wang

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Lithium Ion Battery ◽

Health Monitoring ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

State Of Health ◽

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LITHIUM-ION BATTERY REMAINING USEFUL LIFE ESTIMATION BASED ON ENSEMBLE LEARNING WITH LS-SVM ALGORITHM

Advances in Battery Manufacturing, Service, and Management Systems ◽

10.1002/9781119060741.ch9 ◽

2016 ◽

pp. 217-232 ◽

Author(s):

Yu Peng ◽

Siyuan Lu ◽

Wei Xie ◽

Datong Liu ◽

Haitao Liao

Keyword(s):

Lithium Ion Battery ◽

Ensemble Learning ◽

Lithium Ion ◽

Remaining Useful Life ◽

Life Estimation ◽

Svm Algorithm ◽

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