An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machine

Measurement ◽  
2021 ◽  
pp. 109935
Author(s):  
Xin Li ◽  
Yan Ma ◽  
Jiajun Zhu
Keyword(s):  
Support Vector Machine ◽  
Particle Filter ◽  
Least Squares ◽  
Lithium Ion Battery ◽  
Prediction Method ◽  
Lithium Ion ◽  
Support Vector ◽  
Unscented Particle Filter

scholarly journals A Novel State of Charge Approach of Lithium Ion Battery Using Least Squares Support Vector Machine

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 195398-195410
Author(s):  
Jiabo Li ◽  
Min Ye ◽  
Wei Meng ◽  
Xinxin Xu ◽  
Shengjie Jiao
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
State Of Charge ◽  
Support Vector

Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine

2018 ◽  
Vol 88-90 ◽  
pp. 1216-1220 ◽  
Author(s):  
Jinhao Meng ◽  
Lei Cai ◽  
Guangzhao Luo ◽  
Daniel-Ioan Stroe ◽  
Remus Teodorescu
Keyword(s):  
Support Vector Machine ◽  
Lithium Ion Battery ◽  
Current Pulse ◽  
Lithium Ion ◽  
Support Vector ◽  
State Of Health ◽  
Short Term ◽  
Pulse Test
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