Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networks

Journal of Energy Storage ◽

10.1016/j.est.2019.100951 ◽

2019 ◽

Vol 26 ◽

pp. 100951 ◽

Cited By ~ 11

Author(s):

Shuzhi Zhang ◽

Baoyu Zhai ◽

Xu Guo ◽

Kaike Wang ◽

Nian Peng ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Lithium Ion Battery ◽

Lithium Ion ◽

State Of Health ◽

Incremental Capacity ◽

Artificial Neural ◽

Useful Lifetime

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Lithium-ion battery state of health estimation using the incremental capacity and wavelet neural networks with genetic algorithm

Journal of Energy Storage ◽

10.1016/j.est.2021.102570 ◽

2021 ◽

Vol 38 ◽

pp. 102570

Author(s):

Chun Chang ◽

Qiyue Wang ◽

Jiuchun Jiang ◽

Tiezhou Wu

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Lithium Ion Battery ◽

Lithium Ion ◽

State Of Health ◽

Wavelet Neural Networks ◽

Incremental Capacity

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Real-time core temperature prediction of prismatic automotive lithium-ion battery cells based on artificial neural networks

Journal of Energy Storage ◽

10.1016/j.est.2021.102588 ◽

2021 ◽

Vol 39 ◽

pp. 102588

Author(s):

Jan Kleiner ◽

Magdalena Stuckenberger ◽

Lidiya Komsiyska ◽

Christian Endisch

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Lithium Ion Battery ◽

Real Time ◽

Core Temperature ◽

Lithium Ion ◽

Temperature Prediction ◽

Artificial Neural ◽

Battery Cells

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State‐of‐health prediction for lithium‐ion batteries via electrochemical impedance spectroscopy and artificial neural networks

Energy Storage ◽

10.1002/est2.186 ◽

2020 ◽

Vol 2 (5) ◽

Author(s):

Yige Li ◽

Bo Dong ◽

Taner Zerrin ◽

Evan Jauregui ◽

Xichao Wang ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Electrochemical Impedance Spectroscopy ◽

Impedance Spectroscopy ◽

Lithium Ion Batteries ◽

Electrochemical Impedance ◽

Lithium Ion ◽

State Of Health ◽

Artificial Neural

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An evaluation of the thermal behaviour of a lithium-ion battery pack with a combination of pattern-based artificial neural networks (PBANN) and numerical simulation

Journal of Energy Storage ◽

10.1016/j.est.2021.103920 ◽

2022 ◽

Vol 47 ◽

pp. 103920

Author(s):

Mehrdad Mesgarpour ◽

Massoud Mir ◽

Rasool Alizadeh ◽

Javad Mohebbi Najm Abad ◽

Ehsan Pooladi Borj

Keyword(s):

Numerical Simulation ◽

Neural Networks ◽

Artificial Neural Networks ◽

Lithium Ion Battery ◽

Thermal Behaviour ◽

Lithium Ion ◽

Battery Pack ◽

Artificial Neural

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Safety modeling and protection for lithium-ion batteries based on artificial neural networks method under mechanical abuse

Science China Technological Sciences ◽

10.1007/s11431-021-1826-2 ◽

2021 ◽

Author(s):

YiDing Li ◽

WenWei Wang ◽

Cheng Lin ◽

FengHao Zuo

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Lithium Ion Batteries ◽

Lithium Ion ◽

Artificial Neural

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Prediction of lithium-ion battery temperature in different operating conditions equipped with passive battery thermal management system by artificial neural networks

Materials Today Proceedings ◽

10.1016/j.matpr.2021.09.026 ◽

2021 ◽

Author(s):

Farzad Jaliliantabar ◽

Rizalman Mamat ◽

Sudhakar Kumarasamy

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Lithium Ion Battery ◽

Thermal Management ◽

Management System ◽

Lithium Ion ◽

Operating Conditions ◽

Battery Thermal Management ◽

Thermal Management System ◽

Battery Thermal Management System

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State of Health Estimation of Lithium Batteries for Automotive Applications with Artificial Neural Networks

2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) ◽

10.23919/eeta.2019.8804567 ◽

2019 ◽

Cited By ~ 3

Author(s):

Angelo Bonfitto ◽

Ethelbert Ezemobi ◽

Nicola Amati ◽

Stefano Feraco ◽

Andrea Tonoli ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Lithium Batteries ◽

State Of Health ◽

Automotive Applications ◽

Artificial Neural

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Joint Grey Correlation Degree based Incremental Capacity Analysis for State-of-Health Estimation of Lithium Ion Battery

2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) ◽

10.1109/icarm49381.2020.9195285 ◽

2020 ◽

Author(s):

Weiwei Qu ◽

Jian Liu ◽

Weixiang Shen

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

Capacity Analysis ◽

State Of Health ◽

Grey Correlation ◽

Correlation Degree ◽

Incremental Capacity ◽

Grey Correlation Degree

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Comparison of different approaches for lead acid battery state of health estimation based on artificial neural networks algorithms

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502495 ◽

2016 ◽

Cited By ~ 3

Author(s):

Thais Tossoli de Sousa ◽

Vitor Torquato Arioli ◽

Cesar Sobral Vieira ◽

Sender Rocha dos Santos ◽

Alex Pereira Franca

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

State Of Health ◽

Lead Acid Battery ◽

Artificial Neural ◽

Lead Acid

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Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique

IEEE Transactions on Industry Applications ◽

10.1109/tia.2019.2955396 ◽

2020 ◽

Vol 56 (1) ◽

pp. 678-685 ◽

Cited By ~ 9

Author(s):

Daniel-Ioan Stroe ◽

Erik Schaltz

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

Capacity Analysis ◽

State Of Health ◽

Analysis Technique ◽

Incremental Capacity

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