A Reduced Order Method for Three-Dimensional Lithium-Ion Battery Simulation

2021 ◽  
Vol 42 ◽  
pp. 102976
Author(s):  
Huanhuan Li ◽  
Ashwani Saini ◽  
Chengyang Liu ◽  
Jufeng Yang ◽  
Yaping Wang ◽  
...  

2021 ◽  
Vol 70 (13) ◽  
pp. 138801-138801
Author(s):  
Li Tao ◽  
◽  
Cheng Xi-Ming ◽  
Hu Chen-Hua

CrystEngComm ◽  
2018 ◽  
Vol 20 (22) ◽  
pp. 3043-3048 ◽  
Author(s):  
Lingyu Zhang ◽  
Zhigang Gao ◽  
Haiming Xie ◽  
Chungang Wang ◽  
Lu Li ◽  
...  

A facile, green, mild and one-step conventional heating method was developed to synthesize monodisperse Sn-doped Fe2O3 nanoclusters with a novel spindle-like 3D architecture as anode materials for lithium-ion batteries.


2021 ◽  
Vol 38 (11) ◽  
pp. 118201
Author(s):  
Jianglong Du ◽  
Haolan Tao ◽  
Yuxin Chen ◽  
Xiaodong Yuan ◽  
Cheng Lian ◽  
...  

Lithium-ion battery packs are made by many batteries, and the difficulty in heat transfer can cause many safety issues. It is important to evaluate thermal performance of a battery pack in designing process. Here, a multiscale method combining a pseudo-two-dimensional model of individual battery and three-dimensional computational fluid dynamics is employed to describe heat generation and transfer in a battery pack. The effect of battery arrangement on the thermal performance of battery packs is investigated. We discuss the air-cooling effect of the pack with four battery arrangements which include one square arrangement, one stagger arrangement and two trapezoid arrangements. In addition, the air-cooling strategy is studied by observing temperature distribution of the battery pack. It is found that the square arrangement is the structure with the best air-cooling effect, and the cooling effect is best when the cold air inlet is at the top of the battery pack. We hope that this work can provide theoretical guidance for thermal management of lithium-ion battery packs.


Author(s):  
Zachary Salyer ◽  
Matilde D'Arpino ◽  
Marcello Canova

Abstract Aging models are necessary to accurately predict the SOH evolution in lithium ion battery systems when performing durability studies under realistic operatings, specifically considering time-varying storage, cycling, and environmental conditions, while being computationally efficient. This paper extends existing physics-based reduced-order capacity fade models that predict degradation resulting from the solid electrolyte interface (SEI) layer growth and loss of active material (LAM) in the graphite anode. Specifically, the physics of the degradation mechanisms and aging campaigns for various cell chemistries are reviewed to improve the model fidelity. Additionally, a new calibration procedure is established relying solely on capacity fade data and results are presented including extrapolation/validation for multiple chemistries. Finally, a condition is integrated to predict the onset of lithium plating. This allows the complete cell model to predict the incremental degradation under various operating conditions, including fast charging.


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