Optimal spatial distribution of microstructure in porous electrodes for Li-ion batteries

Author(s):  
Ravi N Methekar ◽  
Vijayasekaran Boovaragavan ◽  
Mounika Arabandi ◽  
Venkatasailanathan Ramadesigan ◽  
Venkat R Subramanian ◽  
...  
2015 ◽  
Vol 1120-1121 ◽  
pp. 730-734 ◽  
Author(s):  
M.Yu. Maximov ◽  
A.A. Popovich ◽  
A.M. Rumyantsev

In this work, we investigated the influence of passivation coating of aluminum oxide on cycle life of lithium-ion batteries. Al2O3 was synthesized by atomic layer deposition directly on the porous electrodes based on LiCoO2. More than 800 charge-discharge cycles were done. No increase of internal resistance due to Al2O3 coating was observed. According to the results, electrodes coated by aluminum oxide have better cycle life.


2011 ◽  
Vol 196 (24) ◽  
pp. 10692-10697 ◽  
Author(s):  
Biao Zhang ◽  
Zhen-Dong Huang ◽  
Sei Woon Oh ◽  
Jang-Kyo Kim

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
Yoichi Takagishi ◽  
Takumi Yamanaka ◽  
Tatsuya Yamaue

Abstract Electrochemical physics-based simulations of Li-ion batteries using a mesoscale 3D structure of porous electrodes are one of the most effective approaches for evaluating the local Li concentration in active materials and the Li-ion concentration in electrolytes. However, this approach requires considerable computational resources compared with a simple 2D or 1D homogeneous simulation. In this work, we developed an advanced electrochemical physics-based simulation method for Li-ion batteries that enabled a quasi-3D simulation of charge/discharge using only a single 2D slice image. The governing equations were based on typical theories of electrochemical reactions and ion transport. From referencing the 2D plane, the model was able to simulate both the Li concentration in the active material and the Li-ion concentration in the electrolyte for their subsequent consideration in a virtual 3D structure. To confirm the validity of our proposed model, a full 3D discharge simulation with randomly packed active material particles was performed and compared with the results of the quasi-3D model and a simple-2D model. Results indicated that the quasi-3D model properly reproduced the sliced Li and Li-ion concentrations simulated by the full 3D model in the charge/discharge process, whereas the simple-2D simulation partially overestimated or underestimated these concentrations. In addition, the quasi-3D model made it possible to dramatically decrease the computation time compared to the full-3D model. Finally, we applied the model to an actual scanning electron microscopy equipped with a focused ion beam (FIB-SEM) image of a positive electrode. Graphic abstract


Author(s):  
Shahabeddin K. Mohammadian ◽  
Yuwen Zhang

Abstract One way to enhance thermal performance of the Li-ion batteries is embedding microgrooves inside the porous electrodes and flowing the electrolyte through these microgrooves. A 2D thermal Lattice Boltzmann Method (LBM) was employed to predict electrolyte flow, heat transfer, and internal heat generation inside the positive porous electrode. Size and number of the microgrooves were investigated, and it was found that embedding microgrooves inside the porous electrode improved the thermal performance of the Li-ion battery by keeping the electrode in lower temperatures and improving its temperature uniformity. Furthermore, increasing the number of microgrooves (in a constant ratio between total size of the microgrooves to size of the porous electrode) kept the porous electrode in lower temperatures and enhanced temperature uniformity.


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