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 ◽

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

Discharge capacity estimation for Li-ion batteries based on particle filter under multi-operating conditions

Energy ◽

10.1016/j.energy.2015.04.021 ◽

2015 ◽

Vol 86 ◽

pp. 638-648 ◽

Author(s):

Junfu Li ◽

Lixin Wang ◽

Chao Lyu ◽

Liqiang Zhang ◽

Han Wang

Keyword(s):

Particle Filter ◽

Discharge Capacity ◽

Operating Conditions ◽

Li Ion Batteries ◽

Capacity Estimation ◽

Download Full-text

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

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 ◽

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 ◽

Author(s):

Xianke Lin

Keyword(s):

Neural Networks ◽

Real Time ◽

Anode Potential ◽

Li Ion Batteries ◽

Time Prediction ◽

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 ◽

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

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 ◽

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 ◽

Download Full-text

Investigating the Sources of Uncertainty in Capacity Estimation of Li-Ion Batteries

2019 IEEE Transportation Electrification Conference and Expo (ITEC) ◽

10.1109/itec.2019.8790524 ◽

2019 ◽

Author(s):

Melika Salehabadi ◽

Mehrdad Zandigohar ◽

Nima Lotfi ◽

Poria Fajri

Keyword(s):

Li Ion Batteries ◽

Capacity Estimation ◽

Sources Of Uncertainty ◽

Download Full-text

Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles

International Journal of Energy Research ◽

10.1002/er.6005 ◽

2020 ◽

Author(s):

Kirandeep Kaur ◽

Akhil Garg ◽

Xujian Cui ◽

Surinder Singh ◽

Bijaya Ketan Panigrahi

Keyword(s):

Deep Learning ◽

Electric Vehicles ◽

Li Ion Batteries ◽

Learning Networks ◽

Capacity Estimation ◽

Download Full-text

Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes

Energy ◽

10.1016/j.energy.2017.06.141 ◽

2017 ◽

Vol 135 ◽

pp. 257-268 ◽

Author(s):

Taedong Goh ◽

Minjun Park ◽

Minhwan Seo ◽

Jun Gu Kim ◽

Sang Woo Kim

Keyword(s):

Estimation Algorithm ◽

Second Order ◽

Li Ion Batteries ◽

Capacity Estimation ◽

Differential Voltage ◽

Voltage Curve ◽

Download Full-text