Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2017.2782224 ◽

2018 ◽

Vol 65 (7) ◽

pp. 5634-5643 ◽

Author(s):

Jingwen Wei ◽

Guangzhong Dong ◽

Zonghai Chen

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

State Of Health ◽

Useful Life ◽

Health Diagnosis

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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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Remaining Useful Life Prediction of Lithium-Ion Batteries Using Support Vector Regression Optimized by Artificial Bee Colony

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2019.2932605 ◽

2019 ◽

Vol 68 (10) ◽

pp. 9543-9553 ◽

Author(s):

Yingzhou Wang ◽

Yulong Ni ◽

Shuai Lu ◽

Jianguo Wang ◽

Xiuyu Zhang

Keyword(s):

Support Vector Regression ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Artificial Bee Colony ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

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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 Lithium-Ion Batteries Based on Cataclysmic Mutation Genetic Algorithm and Support Vector Regression

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) ◽

10.1109/icpeca51329.2021.9362683 ◽

2021 ◽

Author(s):

Xin Chen ◽

Mingqing Xiao ◽

Bincheng Wen

Keyword(s):

Genetic Algorithm ◽

Support Vector Regression ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

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Prediction of the Remaining Useful Life of Lithium-ion Batteries Based on Dempster-Shafer Theory and the Support Vector Regression-particle Filter

IEEE Access ◽

10.1109/access.2021.3136131 ◽

2021 ◽

pp. 1-1

Author(s):

Hancheng Dong

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Lithium Ion Batteries ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

Dempster Shafer Theory ◽

Useful Life ◽

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Remaining Useful Life Prediction and State of Health Diagnosis of Lithium-Ion Battery Based on Second-Order Central Difference Particle Filter

IEEE Access ◽

10.1109/access.2020.2974401 ◽

2020 ◽

Vol 8 ◽

pp. 37305-37313

Author(s):

Yuan Chen ◽

Yigang He ◽

Zhong Li ◽

Liping Chen ◽

Chaolong Zhang

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Second Order ◽

Remaining Useful Life ◽

State Of Health ◽

Central Difference ◽

Useful Life ◽

Health Diagnosis

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State of Health Diagnosis and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Multi-Feature Data and Mechanism Fusion

IEEE Access ◽

10.1109/access.2021.3083395 ◽

2021 ◽

pp. 1-1

Author(s):

Jingyun Xu ◽

Aigang Zhen ◽

Zhiduan Cai ◽

Peiliang Wang ◽

Kaidi Gao ◽

...

Keyword(s):

Lithium Ion Batteries ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

State Of Health ◽

Useful Life ◽

Health Diagnosis

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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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State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network

IEEE Access ◽

10.1109/access.2020.2981261 ◽

2020 ◽

Vol 8 ◽

pp. 53307-53320

Author(s):

Danhua Zhou ◽

Zhanying Li ◽

Jiali Zhu ◽

Haichuan Zhang ◽

Lin Hou

Keyword(s):

Lithium Ion Batteries ◽

Health Monitoring ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

State Of Health ◽

Convolutional Network ◽

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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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