Calculation Model of Effective Thermal Conductivity of a Spiral-wound Lithium Ion Battery

2018 ◽  
Vol 27 (6) ◽  
pp. 572-579 ◽  
Author(s):  
Bo Shi ◽  
Han Zhang ◽  
Yuanjing Qi ◽  
Lili Yang
2015 ◽  
Vol 163 (2) ◽  
pp. A119-A130 ◽  
Author(s):  
Ajay Vadakkepatt ◽  
Bradley Trembacki ◽  
Sanjay R. Mathur ◽  
Jayathi Y. Murthy

2021 ◽  
pp. 139397
Author(s):  
Ashwini Kumar Sharma ◽  
Karthik Somasundaram ◽  
Erik Birgersson ◽  
Wei Tong ◽  
Huan Viet Nguyen ◽  
...  

Author(s):  
Ajay Vadakkepatt ◽  
Bradley L. Trembacki ◽  
Sanjay R. Mathur ◽  
Jayathi Y. Murthy

Simulations of lithium ion batteries on a cell level are usually performed with volume averaging methods that employ effective transport properties. Bruggeman’s model, which is widely used to determine these effective properties, is solely based on the volume fraction of these porous electrodes. However, other factors like the topology and microstructure of electrodes also play a crucial role in determining effective properties. In this paper, a general derivation of the effective thermal conductivity of multiphase materials, which can be correlated with these factors, is derived using the volume averaging technique. For demonstration, three-dimensional microstructures of various porous materials are reconstructed from scanned images. These images are used to generate fully-resolved finite volume meshes representing the various constituents. The resulting mesh is then employed for numerical analysis of thermal transport, results from which are used for correlating the effective thermal conductivity with various parameters describing the microstructure. It is shown that commonly used power law exponents in the Bruggeman model for effective thermal conductivity must be recalibrated to fit the effective thermal conductivity computed from these detailed simulations.


Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 1013
Author(s):  
Yubai Li ◽  
Zhifu Zhou ◽  
Wei-Tao Wu

To better address the safety issues of a lithium-ion battery, understanding of its internal shorting process is necessary. In this study, three-dimensional (3D) thermal modeling of a 20 Ah lithium-ion polymer battery under an internal shorting process is performed. The electrochemical thermal coupling scheme is considered, and a multi-scale modeling approach is employed. An equivalent circuit model is used for characterizing the subscale electrochemical behaviors. Then, at the cell scale, the electrical potential field and thermal field are resolved. For modeling the internal shorting process, a block of an internal short is directly planted inside the lithium-ion battery. Insights of the temperature evolutions and 3D temperature distributions are drawn from the simulations. The effects of shorting resistance, through-plane thermal conductivity, and mini-channel cold-plate cooling are investigated with the simulations. A large amount of heat generation by a small shorting resistance and highly localized temperature rise are the fundamental thermal features associated with the internal shorting process. The through-plane thermal conductivity plays an important role in the maximum temperature evolutions inside the battery cell, while the external cooling condition has a relatively weak effect. But the cold plate cooling can benefit lithium-ion battery safety by limiting the high temperature area in the internal shorting process through heat spreading.


2020 ◽  
Vol 44 (12) ◽  
pp. 9466-9478 ◽  
Author(s):  
Lichuan Wei ◽  
Zhao Lu ◽  
Feng Cao ◽  
Liyu Zhang ◽  
Xi Yang ◽  
...  

2021 ◽  
Author(s):  
Shinya Kawakita ◽  
Yuki Ishizaka ◽  
Kazuyoshi Fushinobu

Abstract In the previous research, we prototyped the TIC in which a conventional TIM composed of silicone resin and filler was filled in pores of copper foam, and measured its thermal conductivity by a steady-state method. In addition, the effective thermal conductivity of TIC was predicted by Bhattacharya’s equation and Boomsma’s equation. As a result, it was reported that the experimental value and the predicted value match within 0.7 W/(m·K) by modifying the thermal conductivity of copper to 120 W/(m·K) in the Boomsma’s equation. The issue of that was to investigate the cause of the decrease in thermal conductivity of copper to 120 W/(m·K). In this paper, the effective thermal conductivity of TIC was predicted using the WP structure instead of the Kelvin structure, which is the basis of the Bhattacharya’s equation and Boomsma’s equation. As the result, it was clarified that the effective thermal conductivity predicted by the three-dimensional thermal conductivity calculation model based on the WP structure is more accurate than that predicted by the Kelvin model. And it was found that the experimental value and the predicted value match in the range of 0.4 W/(m·K) by considering the TIC surface structure without modifying the thermal conductivity of copper.


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