Heuristic Kalman optimized particle filter for remaining useful life prediction of lithium-ion battery

2018 ◽  
Vol 81 ◽  
pp. 232-243 ◽  
Author(s):  
Pham Luu Trung Duong ◽  
Nagarajan Raghavan
Keyword(s):  
Particle Filter ◽  
Lithium Ion Battery ◽  
Life Prediction ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Useful Life

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

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 ◽  
Gray Model ◽  
Useful Life

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

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 ◽  
Useful Life

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

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 ◽  
Useful Life

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

Energy ◽  
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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