A novel technique for modelling the state of charge of lithium ion batteries using artificial neural networks

2001 ◽  
Author(s):  
S. Grewal
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
The State ◽  
State Of Charge ◽  
Novel Technique ◽  
Artificial Neural

Damaged Cell Location on Lithium-Ion Batteries Using Artificial Neural Networks

2020 ◽  
pp. 477-486
Author(s):  
Mateus Moro Lumertz ◽  
Felipe Gozzi da Cruz ◽  
Rubisson Duarte Lamperti ◽  
Leandro Antonio Pasa ◽  
Diogo Marujo
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Artificial Neural

scholarly journals Application of artificial neural networks in design of lithium-ion batteries

2018 ◽  
Vol 395 ◽  
pp. 128-136 ◽  
Author(s):  
Bin Wu ◽  
Sangwoo Han ◽  
Kang G. Shin ◽  
Wei Lu
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Artificial Neural

Accuracy analysis of the State-of-Charge and remaining run-time determination for lithium-ion batteries

Measurement ◽  
2009 ◽  
Vol 42 (8) ◽  
pp. 1131-1138 ◽  
Author(s):  
V. Pop ◽  
H.J. Bergveld ◽  
P.H.L. Notten ◽  
J.H.G. Op het Veld ◽  
P.P.L. Regtien
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
The State ◽  
State Of Charge ◽  
Accuracy Analysis ◽  
Time Determination ◽  
Run Time

The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer

2014 ◽  
Vol 63 (4) ◽  
pp. 1614-1621 ◽  
Author(s):  
Jun Xu ◽  
Chunting Chris Mi ◽  
Binggang Cao ◽  
Junjun Deng ◽  
Zheng Chen ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
The State ◽  
State Of Charge ◽  
Proportional Integral ◽  
State Of Charge Estimation
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