Simplified numerical modeling and analysis of electrolyte behavior in multiple physical fields for lithium-ion batteries-Reference-Cited by-同舟云学术

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Simplified numerical modeling and analysis of electrolyte behavior in multiple physical fields for lithium-ion batteries

Published:2023-11 Issue: Volume:72 Page:108536
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Yu Hanqing,Yang Kaiyi,Zhang Lisheng,Wang Wentao,Zhang Zhengjie,Li Shen,Chen Siyan,Yang Shichun,Li Junfu,Liu Xinhua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference65 articles.

1. Topological quantum materials for energy conversion and storage;Luo;Nat. Rev. Phys.,2022

2. Bridging multiscale characterization technologies and digital modeling to evaluate lithium battery full lifecycle;Liu;Adv. Energy Mater.,2022

3. CHAIN: unlocking informatics-aided design of Li metal anode from materials to applications;Zhang;Rare Metals,2022

4. A CNN-ABC model for estimation and optimization of heat generation rate and voltage distributions of lithium-ion batteries for electric vehicles;Yalçın;Int. J. Heat Mass Transf.,2022

5. Nonlinear health evaluation for lithium-ion battery within full-lifespan;You;J. Energy Chem.,2022

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Early-stage degradation trajectory prediction for lithium-ion batteries: A generalized method across diverse operational conditions;Journal of Power Sources;2024-08

2. Insight Understanding of External Pressure on Lithium Plating in Commercial Lithium‐Ion Batteries;Advanced Functional Materials;2024-07

3. sP2D: Simplified pseudo 2D battery model by piecewise sinusoidal/quadratic functions of potential curves;Journal of Energy Storage;2024-05

4. Physics-informed ensemble deep learning framework for improving state of charge estimation of lithium-ion batteries;Journal of Energy Storage;2023-12

5. Multi-output ensemble deep learning: A framework for simultaneous prediction of multiple electrode material properties;Chemical Engineering Journal;2023-11

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