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Journal Articles

Lithium-Ion Battery Health State Estimation Based on Feature Reconstruction and Optimized Least Squares Support Vector Machine

Tiezhou Wu, Jian Kang, Junchao Zhu, Te Tu
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. February 2025, 22(1): 011013.
Paper No: JEECS-24-1015
https://doi.org/10.1115/1.4065666
Published Online: June 24, 2024
View Article titled, Lithium-Ion Battery Health State Estimation Based on Feature Reconstruction and Optimized Least Squares Support Vector Machine
Open the PDF for Lithium-Ion Battery Health State Estimation Based on Feature Reconstruction and Optimized Least Squares Support Vector Machine in another window
Topics: Algorithms, Batteries, Errors, Lithium-ion batteries, Support vector machines, Principal component analysis, State estimation, Cycles, Optimization, Battery life
Journal Articles

State of Charge Estimation of Lithium-Ion Battery Based on IDRSN and BiGRU

Jiahao Zhang, Jiadui Chen, Ling He, Dan Liu, Kai Yang, Qinghua Liu
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2024, 21(3): 031001.
Paper No: JEECS-23-1029
https://doi.org/10.1115/1.4063173
Published Online: October 5, 2023
View Article titled, State of Charge Estimation of Lithium-Ion Battery Based on IDRSN and BiGRU
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Topics: Algorithms, Artificial neural networks, Batteries, Cycles, Electric vehicles, Errors, Lithium, Lithium-ion batteries, Network models, Shrinkage (Materials)
Journal Articles

An Approach for Fast-Charging Lithium-Ion Batteries State of Health Prediction Based on Model-Data Fusion

Hailin Feng, Yatian Liu
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. May 2024, 21(2): 021012.
Paper No: JEECS-23-1057
https://doi.org/10.1115/1.4062990
Published Online: September 13, 2023
View Article titled, An Approach for Fast-Charging Lithium-Ion Batteries State of Health Prediction Based on Model-Data Fusion
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Topics: Batteries, Cycles, Filters, Lithium, Lithium-ion batteries, Particulate matter, Sensitivity analysis, Fittings, Algorithms, Errors
Journal Articles

State-of-Charge Estimation of Lithium-Ion Batteries Using Convolutional Neural Network With Self-Attention Mechanism

Jianlong Chen, Chenghao Zhang, Cong Chen, Chenlei Lu, Dongji Xuan
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2023, 20(3): 031010.
Paper No: JEECS-22-1048
https://doi.org/10.1115/1.4055985
Published Online: November 11, 2022
View Article titled, State-of-Charge Estimation of Lithium-Ion Batteries Using Convolutional Neural Network With Self-Attention Mechanism
Open the PDF for State-of-Charge Estimation of Lithium-Ion Batteries Using Convolutional Neural Network With Self-Attention Mechanism in another window
Topics: Artificial neural networks, Batteries, Errors, Lithium-ion batteries, Temperature, Robustness, Cycles
Journal Articles

In-Situ Visualization of the Transition Metal Dissolution in Layered Cathodes

Guannan Qian, Guibin Zan, Jizhou Li, Jin Zhang, Piero Pianetta, Yijin Liu
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. November 2022, 19(4): 041002.
Paper No: JEECS-22-1014
https://doi.org/10.1115/1.4054584
Published Online: June 6, 2022
View Article titled, In-Situ Visualization of the Transition Metal Dissolution in Layered Cathodes
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Topics: Particulate matter, Transition metals, X-ray imaging, Zirconium, Corrosion, Visualization, Lithium-ion batteries, Lithium, Imaging, Batteries