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 ◽

Cited By ~ 7

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 ◽

Useful Life

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Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network

Applied Energy ◽

10.1016/j.apenergy.2019.113626 ◽

2019 ◽

Vol 253 ◽

pp. 113626 ◽

Cited By ~ 28

Author(s):

Guijun Ma ◽

Yong Zhang ◽

Cheng Cheng ◽

Beitong Zhou ◽

Pengchao Hu ◽

...

Keyword(s):

Neural Network ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Nearest Neighbors ◽

Remaining Useful Life ◽

Hybrid Neural Network ◽

Useful Life ◽

False Nearest Neighbors

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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 ◽

Cited By ~ 10

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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Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2018.2805189 ◽

2018 ◽

Vol 67 (7) ◽

pp. 5695-5705 ◽

Cited By ~ 156

Author(s):

Yongzhi Zhang ◽

Rui Xiong ◽

Hongwen He ◽

Michael G. Pecht

Keyword(s):

Neural Network ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Short Term Memory ◽

Lithium Ion ◽

Remaining Useful Life ◽

Short Term ◽

Term Memory ◽

Useful Life ◽

Long Short Term Memory

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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 ◽

Useful Life

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Remaining useful life prediction of lithium-ion battery using a novel particle filter framework with grey neural network

Energy ◽

10.1016/j.energy.2021.122581 ◽

2021 ◽

pp. 122581

Author(s):

Lin Chen ◽

Yunhui Ding ◽

Bohao Liu ◽

Shuxiao Wu ◽

Yaodong Wang ◽

...

Keyword(s):

Neural Network ◽

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Useful Life

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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 ◽

Useful Life

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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 ◽

Semi Empirical

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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 ◽

Cited By ~ 3

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 ◽

Useful Life

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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 ◽

Cited By ~ 38

Author(s):

Lijun Zhang ◽

Zhongqiang Mu ◽

Changyan Sun

Keyword(s):

Particle Filter ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Exponential Model ◽

Remaining Useful Life ◽

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 ◽

Cited By ~ 11

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 ◽

Useful Life

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