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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
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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
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State of health monitoring of Li-ion batteries using dynamic resistance mapping and regression
CSI Transactions on ICT
◽
10.1007/s40012-016-0085-0
◽
2016
◽
Vol 4
(1)
◽
pp. 23-28
◽
Cited By ~ 1
Author(s):
P. R. Sobana
◽
K. Ramesha
Keyword(s):
Health Monitoring
◽
Dynamic Resistance
◽
State Of Health
◽
Li Ion Batteries
◽
Li Ion
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State of health estimation of Li-ion batteries using Electrochemical Impedance Spectroscopy
2017 IEEE Transportation Electrification Conference and Expo (ITEC)
◽
10.1109/itec.2017.7993255
◽
2017
◽
Cited By ~ 1
Author(s):
Hassan Shabbir
◽
William Dunford
◽
Tina Shoa
Keyword(s):
Electrochemical Impedance Spectroscopy
◽
Impedance Spectroscopy
◽
Electrochemical Impedance
◽
State Of Health
◽
Li Ion Batteries
◽
Li Ion
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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
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Li-Ion Batteries State of Health Analysis via Electro-chemical Impedance Spectroscopy
2021 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)
◽
10.1109/metroautomotive50197.2021.9502724
◽
2021
◽
Author(s):
Gianluca Caposciutti
◽
Gabriele Bandini
◽
Mirko Marracci
◽
Alice Buffi
◽
Bernardo Tellini
Keyword(s):
Impedance Spectroscopy
◽
State Of Health
◽
Li Ion Batteries
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Li Ion
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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
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Correction to: Electrochemical Impedance Spectroscopy Characterization of Silicon-Based Electrodes for Li-Ion Batteries
Electrocatalysis
◽
10.1007/s12678-020-00597-9
◽
2020
◽
Vol 11
(3)
◽
pp. 364-364
Author(s):
Maciej Ratynski
◽
Bartosz Hamankiewicz
◽
Michał Krajewski
◽
Maciej Boczar
◽
Dominika A. Buchberger
◽
...
Keyword(s):
Electrochemical Impedance Spectroscopy
◽
Impedance Spectroscopy
◽
Electrochemical Impedance
◽
Li Ion Batteries
◽
Li Ion
◽
Silicon Based
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State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis
Journal of Power Sources
◽
10.1016/j.jpowsour.2018.10.069
◽
2019
◽
Vol 410-411
◽
pp. 106-114
◽
Cited By ~ 72
Author(s):
Xiaoyu Li
◽
Zhenpo Wang
◽
Lei Zhang
◽
Changfu Zou
◽
David. D. Dorrell
Keyword(s):
Grey Relational Analysis
◽
Capacity Analysis
◽
State Of Health
◽
Li Ion Batteries
◽
Analysis Method
◽
Relational Analysis
◽
Incremental Capacity
◽
Li Ion
◽
Grey Relational
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Probing mass transport processes in Li-ion batteries using electrochemical impedance spectroscopy
Journal of Power Sources
◽
10.1016/j.jpowsour.2021.230577
◽
2021
◽
Vol 514
◽
pp. 230577
Author(s):
David Perry
◽
Mohamed Mamlouk
Keyword(s):
Electrochemical Impedance Spectroscopy
◽
Impedance Spectroscopy
◽
Mass Transport
◽
Electrochemical Impedance
◽
Transport Processes
◽
Li Ion Batteries
◽
Li Ion
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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
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