A remaining useful life prediction approach for lithium-ion batteries using Kalman filter and an improved particle filter

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

10.1109/icphm.2016.7542847 ◽

2016 ◽

Author(s):

Baohua Mo ◽

Jingsong Yu ◽

Diyin Tang ◽

Hao Liu ◽

Jingsong Yu

Keyword(s):

Kalman Filter ◽

Particle Filter ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Useful Life ◽

Prediction Approach

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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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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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Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

Neurocomputing ◽

10.1016/j.neucom.2019.09.074 ◽

2020 ◽

Vol 376 ◽

pp. 95-102 ◽

Author(s):

Zhiwei Xue ◽

Yong Zhang ◽

Cheng Cheng ◽

Guijun Ma

Keyword(s):

Kalman Filter ◽

Support Vector Regression ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Unscented Kalman Filter ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

Adaptive Unscented Kalman Filter ◽

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Remaining useful life prediction of aircraft lithium-ion batteries based on F-distribution particle filter and kernel smoothing algorithm

Chinese Journal of Aeronautics ◽

10.1016/j.cja.2020.01.007 ◽

2020 ◽

Vol 33 (5) ◽

pp. 1517-1531

Author(s):

Kai ZHANG ◽

Peng ZHAO ◽

Canfei SUN ◽

Youren WANG ◽

Zewang CHEN

Keyword(s):

Particle Filter ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Kernel Smoothing ◽

Lithium Ion ◽

Remaining Useful Life ◽

Smoothing Algorithm ◽

F Distribution ◽

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Remaining Useful Life Prediction of Lithium-Ion Batteries using Semi-Empirical Model and Bat-Based Particle Filter

2020 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas45731.2020.9180516 ◽

2020 ◽

Author(s):

Yucheng Lian ◽

Jing V. Wang ◽

Xiangtian Deng ◽

Jianqiang Kang ◽

Guorong Zhu ◽

...

Keyword(s):

Particle Filter ◽

Lithium Ion Batteries ◽

Empirical Model ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Useful Life ◽

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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 Batteries Based on Exponential Model and Particle Filter

IEEE Access ◽

10.1109/access.2018.2816684 ◽

2018 ◽

Vol 6 ◽

pp. 17729-17740 ◽

Author(s):

Lijun Zhang ◽

Zhongqiang Mu ◽

Changyan Sun

Keyword(s):

Particle Filter ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Exponential Model ◽

Remaining Useful Life ◽

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Remaining useful life prediction for lithium-ion batteries using a quantum particle swarm optimization-based particle filter

Quality Engineering ◽

10.1080/08982112.2017.1322210 ◽

2017 ◽

Vol 29 (3) ◽

pp. 536-546 ◽

Author(s):

Jinsong Yu ◽

Baohua Mo ◽

Diyin Tang ◽

Hao Liu ◽

Jiuqing Wan

Keyword(s):

Particle Swarm Optimization ◽

Particle Filter ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Quantum Particle ◽

Lithium Ion ◽

Remaining Useful Life ◽

Swarm Optimization ◽

Quantum Particle Swarm Optimization ◽

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The Remaining Useful Life Prediction by Using Electrochemical Model in the Particle Filter Framework for Lithium-Ion Batteries

IEEE Access ◽

10.1109/access.2020.3006157 ◽

2020 ◽

Vol 8 ◽

pp. 126661-126670

Author(s):

Qianqian Liu ◽

Jingyuan Zhang ◽

Ke Li ◽

Chao Lv

Keyword(s):

Particle Filter ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Useful Life ◽

Electrochemical Model

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Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2020.2996004 ◽

2020 ◽

Vol 69 (11) ◽

pp. 8831-8843

Author(s):

Ruihua Jiao ◽

Kaixiang Peng ◽

Jie Dong

Keyword(s):

Particle Filter ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

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