A deep learning method for lithium-ion battery remaining useful life prediction based on sparse segment data via cloud computing system

Energy ◽  
2021 ◽  
pp. 122716
Author(s):  
Qisong Zhang ◽  
Lin Yang ◽  
Wenchao Guo ◽  
Jiaxi Qiang ◽  
Cheng Peng ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Deep Learning ◽  
Life Prediction ◽  
Lithium Ion ◽  
Computing System ◽  
Remaining Useful Life ◽  
Learning Method ◽  
Cloud Computing System ◽  
Useful Life ◽  
Segment Data

scholarly journals A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

2021 ◽  
Vol 7 ◽  
pp. 5562-5574 ◽  
Author(s):  
Shunli Wang ◽  
Siyu Jin ◽  
Dekui Bai ◽  
Yongcun Fan ◽  
Haotian Shi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Lithium Ion Batteries ◽  
Critical Review ◽  
Life Prediction ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Learning Methods ◽  
Useful Life

scholarly journals Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 50587-50598 ◽  
Author(s):  
Lei Ren ◽  
Li Zhao ◽  
Sheng Hong ◽  
Shiqiang Zhao ◽  
Hao Wang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Lithium Ion Battery ◽  
Life Prediction ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Learning Approach ◽  
Useful Life

Novel Statistical Analysis Approach for Remaining Useful Life Prediction of Lithium-Ion Battery

2021 ◽  
Author(s):  
Yash S. Jain ◽  
Atharva D. Veer ◽  
Gaurav S. Sawant ◽  
Yash R. Jain ◽  
Sandeep S. Udmale
Keyword(s):  
Statistical Analysis ◽  
Lithium Ion Battery ◽  
Life Prediction ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Analysis Approach ◽  
Useful Life
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