A method for capacity prediction of lithium-ion batteries under small sample conditions

Energy ◽  
2022 ◽  
Vol 238 ◽  
pp. 122094
Author(s):  
Meng Zhang ◽  
Guoqing Kang ◽  
Lifeng Wu ◽  
Yong Guan
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Small Sample ◽  
Capacity Prediction

scholarly journals Capacity Prediction and Validation of Lithium-Ion Batteries Based on Long Short-Term Memory Recurrent Neural Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 172783-172798
Author(s):  
Zheng Chen ◽  
Qiao Xue ◽  
Yitao Wu ◽  
Shiquan Shen ◽  
Yuanjian Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Lithium Ion Batteries ◽  
Recurrent Neural Network ◽  
Short Term Memory ◽  
Lithium Ion ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory ◽  
Capacity Prediction

CuS2 sheets: a hidden anode material with a high capacity for sodium-ion batteries

2021 ◽  
Author(s):  
Shaohua Lu ◽  
Weidong Hu ◽  
Xiaojun Hu
Keyword(s):  
Lithium Ion Batteries ◽  
Anode Material ◽  
Low Cost ◽  
High Capacity ◽  
Lithium Ion ◽  
Sodium Ion ◽  
Sodium Ion Batteries

Due to their low cost and improved safety compared to lithium-ion batteries, sodium-ion batteries have attracted worldwide attention in recent decades.

Synthesis and study of carbon nanostructured additives for lithium-ion batteries

2018 ◽  
Vol 125 (4) ◽  
pp. 8-13
Author(s):  
А.Б. Абдрахманова ◽  
◽  
В. А. Кривченко ◽  
Н. М. Омарова
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion

TMR Magnetic Sensor Array Module for Detecting Leakage Current in Lithium-ion Batteries

2017 ◽  
Vol 137 (8) ◽  
pp. 481-486
Author(s):  
Junichi Hayasaka ◽  
Kiwamu Shirakawa ◽  
Nobukiyo Kobayashi ◽  
Kenichi Arai ◽  
Nobuaki Otake ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Leakage Current ◽  
Sensor Array ◽  
Lithium Ion ◽  
Magnetic Sensor
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