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Hybrid electrochemical modeling with recurrent neural networks for li-ion batteries
2017 American Control Conference (ACC)
◽
10.23919/acc.2017.7963533
◽
2017
◽
Cited By ~ 2
Author(s):
Saehong Park
◽
Dong Zhang
◽
Scott Moura
Keyword(s):
Neural Networks
◽
Recurrent Neural Networks
◽
Li Ion Batteries
◽
Electrochemical Modeling
◽
Li Ion
Download Full-text
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Cited By
References
Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks
Applied Soft Computing
◽
10.1016/j.asoc.2021.108401
◽
2022
◽
pp. 108401
Author(s):
Chong Bian
◽
Shunkun Yang
◽
Jie Liu
◽
Enrico Zio
Keyword(s):
Neural Networks
◽
Recurrent Neural Networks
◽
State Of Charge
◽
Li Ion Batteries
◽
Li Ion
◽
State Of Charge Estimation
Download Full-text
Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks
International Journal of Electrical Power & Energy Systems
◽
10.1016/j.ijepes.2012.04.050
◽
2012
◽
Vol 42
(1)
◽
pp. 487-494
◽
Cited By ~ 172
Author(s):
Akram Eddahech
◽
Olivier Briat
◽
Nicolas Bertrand
◽
Jean-Yves Delétage
◽
Jean-Michel Vinassa
Keyword(s):
Neural Networks
◽
Impedance Spectroscopy
◽
Health Monitoring
◽
Recurrent Neural Networks
◽
State Of Health
◽
Li Ion Batteries
◽
Li Ion
Download Full-text
Estimation of thermal effect of different busbars materials on prismatic Li-ion batteries based on artificial neural networks
Journal of Energy Storage
◽
10.1016/j.est.2021.102543
◽
2021
◽
Vol 38
◽
pp. 102543
Author(s):
Ozge Yetik
◽
Tahir Hikmet Karakoc
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Thermal Effect
◽
Li Ion Batteries
◽
Li Ion
◽
Artificial Neural
Download Full-text
Li-Ion Batteries Parameter Estimation With Tiny Neural Networks Embedded on Intelligent IoT Microcontrollers
IEEE Access
◽
10.1109/access.2020.3007046
◽
2020
◽
Vol 8
◽
pp. 122135-122146
Author(s):
Giulia Crocioni
◽
Danilo Pau
◽
Jean-Michel Delorme
◽
Giambattista Gruosso
Keyword(s):
Neural Networks
◽
Parameter Estimation
◽
Li Ion Batteries
◽
Li Ion
Download Full-text
Real-Time Prediction of Anode Potential in Li-Ion Batteries Using Long Short-Term Neural Networks for Lithium Plating Prevention
Journal of The Electrochemical Society
◽
10.1149/2.0621910jes
◽
2019
◽
Vol 166
(10)
◽
pp. A1893-A1904
◽
Cited By ~ 2
Author(s):
Xianke Lin
Keyword(s):
Neural Networks
◽
Real Time
◽
Anode Potential
◽
Li Ion Batteries
◽
Short Term
◽
Time Prediction
◽
Li Ion
Download Full-text
A coupled design optimization methodology for Li-ion batteries in electric vehicle applications based on FEM and neural networks
2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion
◽
10.1109/speedam.2014.6872017
◽
2014
◽
Cited By ~ 2
Author(s):
F. Bonanno
◽
G. Capizzi
◽
S. Coco
◽
A. Laudani
◽
G. Lo Sciuto
Keyword(s):
Neural Networks
◽
Design Optimization
◽
Electric Vehicle
◽
Li Ion Batteries
◽
Li Ion
◽
Optimization Methodology
Download Full-text
Neural Networks for State-of-Charge Estimation of Li-ion Batteries
2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
◽
10.1109/ecti-con51831.2021.9454856
◽
2021
◽
Author(s):
Shixi Hou
◽
Yuzhuang Qian
◽
Zhouhe Zhang
◽
Jienan Han
Keyword(s):
Neural Networks
◽
State Of Charge
◽
Li Ion Batteries
◽
Li Ion
◽
State Of Charge Estimation
Download Full-text
Characterization and Electrochemical Modeling of Advanced SiO Anode Material for Li-Ion Batteries
ECS Meeting Abstracts
◽
10.1149/ma2018-01/1/46
◽
2018
◽
Keyword(s):
Anode Material
◽
Li Ion Batteries
◽
Electrochemical Modeling
◽
Li Ion
Download Full-text
Three Dimensional Thermal, Electrical and Electrochemical Modeling of Li-Ion Batteries
ECS Meeting Abstracts
◽
10.1149/ma2013-02/14/1210
◽
2013
◽
Keyword(s):
Three Dimensional
◽
Li Ion Batteries
◽
Electrochemical Modeling
◽
Li Ion
Download Full-text
Li-Ion Batteries Releasable Capacity Estimation with Neural Networks on Intelligent IoT Microcontrollers
2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)
◽
10.1109/melecon48756.2020.9140634
◽
2020
◽
Author(s):
Giulia Crocioni
◽
Danilo Pau
◽
Giambattista Gruosso
Keyword(s):
Neural Networks
◽
Li Ion Batteries
◽
Capacity Estimation
◽
Li Ion
Download Full-text
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