Remaining Useful Life Prediction of Battery Using a Novel Indicator and Framework With Fractional Grey Model and Unscented Particle Filter

IEEE Transactions on Power Electronics ◽

10.1109/tpel.2019.2952620 ◽

2020 ◽

Vol 35 (6) ◽

pp. 5850-5859 ◽

Author(s):

Lin Chen ◽

Jing Chen ◽

Huimin Wang ◽

Yijue Wang ◽

Jingjing An ◽

...

Keyword(s):

Particle Filter ◽

Life Prediction ◽

Remaining Useful Life ◽

Unscented Particle Filter ◽

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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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Battery remaining useful life prediction algorithm based on support vector regression and unscented particle filter

2016 IEEE International Conference on Prognostics and Health Management (ICPHM) ◽

10.1109/icphm.2016.7542844 ◽

2016 ◽

Author(s):

Xi Peng ◽

Chao Zhang ◽

Yang Yu ◽

Yong Zhou

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Life Prediction ◽

Remaining Useful Life ◽

Prediction Algorithm ◽

Support Vector ◽

Unscented Particle Filter ◽

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Remaining Useful Life Prediction of Analog Circuit Using Improved Unscented Particle Filter

Journal of Electronic Testing ◽

10.1007/s10836-020-05870-9 ◽

2020 ◽

Vol 36 (2) ◽

pp. 169-181

Author(s):

S. Rathnapriya ◽

V. Manikandan

Keyword(s):

Particle Filter ◽

Life Prediction ◽

Analog Circuit ◽

Remaining Useful Life ◽

Unscented Particle Filter ◽

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An Integrated Method for Lithium-ion Batteries Remaining Useful Life Prediction Based on Unscented Particle Filter and Relevance Vector Machine

10.23919/ccc52363.2021.9549315 ◽

2021 ◽

Author(s):

Meng Jiang ◽

Zhenxing Liu ◽

Yong Zhang ◽

Jie He ◽

Yujie Chen

Keyword(s):

Particle Filter ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Relevance Vector Machine ◽

Remaining Useful Life ◽

Integrated Method ◽

Unscented Particle Filter ◽

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An improved unscented particle filter approach for lithium-ion battery remaining useful life prediction

Microelectronics Reliability ◽

10.1016/j.microrel.2017.12.036 ◽

2018 ◽

Vol 81 ◽

pp. 288-298 ◽

Author(s):

Heng Zhang ◽

Qiang Miao ◽

Xin Zhang ◽

Zhiwen Liu

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Unscented Particle Filter ◽

Useful Life ◽

Filter Approach

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Lithium-ion batteries remaining useful life prediction using Wiener process and unscented particle filter

Journal of Power Electronics ◽

10.1007/s43236-019-00016-3 ◽

2019 ◽

Vol 20 (1) ◽

pp. 270-278 ◽

Author(s):

Ranran Wang ◽

Hailin Feng

Keyword(s):

Particle Filter ◽

Lithium Ion Batteries ◽

Wiener Process ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Unscented Particle Filter ◽

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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 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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Remaining Useful Life Prediction for Airborne Fuel Pump Based on AR and Particle Filter

2017 Prognostics and System Health Management Conference (PHM-Harbin) ◽

10.1109/phm.2017.8079159 ◽

2017 ◽

Author(s):

Jiao Xiaoxuan ◽

Jing Bo ◽

Huang Yifeng ◽

Li Juan ◽

Xu Guangyue ◽

...

Keyword(s):

Particle Filter ◽

Life Prediction ◽

Remaining Useful Life ◽

Fuel Pump ◽

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Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Network and Bat-Based Particle Filter

IEEE Access ◽

10.1109/access.2019.2913163 ◽

2019 ◽

Vol 7 ◽

pp. 54843-54854 ◽

Author(s):

Yi Wu ◽

Wei Li ◽

Youren Wang ◽

Kai Zhang

Keyword(s):

Neural Network ◽

Particle Filter ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

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