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Special Section: Degradation Prediction and Recycling of Renewable Energy and Energy Storage Systems: Scenarios of 2020-2025
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Journal Articles

Impact on Anode Performance of Lithium-Ion Batteries by Deep Cryogenic Treated SnSb/C Nanofiber Derived From Inorganic Precursors

Yu Chen, Yuan Yan, Gang Sun, Wei Liu, Min Ma, Huimin Zhou, Lu Cheng, Hualong Zhang, Xin Xia
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2021, 18(3): 030908.
Paper No: JEECS-20-1132
https://doi.org/10.1115/1.4051373
Published Online: June 15, 2021
View Article titled, Impact on Anode Performance of Lithium-Ion Batteries by Deep Cryogenic Treated SnSb/C Nanofiber Derived From Inorganic Precursors
Open the PDF for Impact on Anode Performance of Lithium-Ion Batteries by Deep Cryogenic Treated SnSb/C Nanofiber Derived From Inorganic Precursors in another window
Topics: Nanofibers, Anodes, Lithium-ion batteries
Journal Articles

Human-Knowledge-Augmented Gaussian Process Regression for State-of-Health Prediction of Lithium-Ion Batteries With Charging Curves

Quan Zhou, Chongming Wang, Zeyu Sun, Ji Li, Huw Williams, Hongming Xu
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2021, 18(3): 030907.
Paper No: JEECS-21-1018
https://doi.org/10.1115/1.4050798
Published Online: April 29, 2021
View Article titled, Human-Knowledge-Augmented Gaussian Process Regression for State-of-Health Prediction of Lithium-Ion Batteries With Charging Curves
Open the PDF for Human-Knowledge-Augmented Gaussian Process Regression for State-of-Health Prediction of Lithium-Ion Batteries With Charging Curves in another window
Topics: Batteries, Cycles, Feature extraction, Lithium-ion batteries, Testing, Errors, Battery life, Artificial intelligence
Journal Articles

Direct Re-Usability of Lead-Plated Tin Bronze as Negative Plate for Lightweight Lead-Acid Battery

Tong Yang, Shengqiang Qian, Yuting Luo, Xinhu Wang, Zhenwei Wang
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2021, 18(3): 030906.
Paper No: JEECS-21-1034
https://doi.org/10.1115/1.4050724
Published Online: April 22, 2021
View Article titled, Direct Re-Usability of Lead-Plated Tin Bronze as Negative Plate for Lightweight Lead-Acid Battery
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Topics: Batteries, Bronze, Copper alloys, Lead-acid batteries, Active materials, Electrodes
Journal Articles

Mini-Channel Liquid Cooling System for Improving Heat Transfer Capacity and Thermal Uniformity in Battery Packs for Electric Vehicles

Congbo Li, Yongsheng Li, Sanjay Srinivaas, Jinwen Zhang, Shiyang Qu, Wei Li
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2021, 18(3): 030905.
Paper No: JEECS-20-1181
https://doi.org/10.1115/1.4050723
Published Online: April 21, 2021
View Article titled, Mini-Channel Liquid Cooling System for Improving Heat Transfer Capacity and Thermal Uniformity in Battery Packs for Electric Vehicles
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Topics: Batteries, Heat, Temperature, Heat transfer, Cooling, Water temperature, Energy dissipation
Journal Articles

A Novel Approach Investigating the Remaining Useful Life Predication of Retired Power Lithium-Ion Batteries Using Genetic Programming Method

Dongfeng Qi, Congbo Li, Ningbo Wang, Mingli Huang, Zengming Hu, Wei Li
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2021, 18(3): 030904.
Paper No: JEECS-20-1177
https://doi.org/10.1115/1.4050510
Published Online: April 12, 2021
View Article titled, A Novel Approach Investigating the Remaining Useful Life Predication of Retired Power Lithium-Ion Batteries Using Genetic Programming Method
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Topics: Batteries, Exergy, Lithium-ion batteries, Service life (Equipment), Cycles, Computer programming, Errors
Journal Articles

A Computational Fluid Dynamics Coupled Multi-Objective Optimization Framework for Thermal System Design for Li-Ion Batteries With Metal Separators

Xujian Cui, Siqi Chen, Mi Xiao, Wei Li
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2021, 18(3): 030903.
Paper No: JEECS-20-1172
https://doi.org/10.1115/1.4050509
Published Online: April 2, 2021
View Article titled, A Computational Fluid Dynamics Coupled Multi-Objective Optimization Framework for Thermal System Design for Li-Ion Batteries With Metal Separators
Open the PDF for A Computational Fluid Dynamics Coupled Multi-Objective Optimization Framework for Thermal System Design for Li-Ion Batteries With Metal Separators in another window
Topics: Batteries, Computational fluid dynamics, Coolants, Cooling, Design, Energy dissipation, Heat, Lithium-ion batteries, Metals, Pareto optimization
Journal Articles

A Novel Auto-LSTM-Based State of Health Estimation Method for Lithium-Ion Batteries

Long Wen, Nan Bo, Xingchen Ye, Xinyu Li
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2021, 18(3): 030902.
Paper No: JEECS-20-1102
https://doi.org/10.1115/1.4050100
Published Online: March 2, 2021
View Article titled, A Novel Auto-LSTM-Based State of Health Estimation Method for Lithium-Ion Batteries
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Topics: Algorithms, Dimensions, Human reliability analysis, Lithium-ion batteries, NASA, Thermoplastic rubber
Journal Articles

Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models

Yuhao Huang, Yan Su, Akhil Garg
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2021, 18(3): 030901.
Paper No: JEECS-20-1145
https://doi.org/10.1115/1.4049576
Published Online: February 3, 2021
View Article titled, Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models
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Topics: Artificial neural networks, Cycles, Lithium-ion batteries, Stress, Batteries, Transients (Dynamics)