(668b) Modeling Hierarchical Li-Air Cathode Designs with Improved Discharge Capacity
AIChE Annual Meeting
2021
2021 Annual Meeting
Transport and Energy Processes
Poster Session: Transport and Energy Processes Division - Virtual
Monday, November 15, 2021 - 10:30am to 12:00pm
In this presentation, we will present and discuss results concerning a detailed model of Li-Air battery that we have developed and validated in COMSOL. The model helps in examining the potential of hierarchical cathode in guiding and enhancing the efficiency of transport phenomena and discharge product formation inside micro-, meso-, and macro-pores. Discharge curves results of hierarchical cathodes with distributed tortuosity and porosity (higher tortuosity with lower porosity on separator side, and lower tortuosity with higher porosity on cathode airside) considering a discharge current of 0.1 milliampere per square centimeter (mA/cm2) are shown in Figure 1. It is found that this hierarchal cathode have significantly enhanced the discharge capacity by facilitating the effective transport of oxygen and distributing Li ions along the pores which in turn avoid blocking the pore space. This implies that hierarchical cathode materials with distributed tortuosity and porosity improved the pore alignment, effective transport of oxygen, active reactive area, and space to accommodate the solid discharge product. Despite containing same average porosity (Figure 1b), different porosity distributions resulted in different specific discharge capacities because of different utilization rates of their corresponding pore systems. It is evident that the discharge capacity attained in exponential case (red line) is larger than that in uniform initial porosity (dark gray line). This is because the exponential distribution in porosity effectively facilitates the pore distribution, pore volume, and accessible surface area resulting in facile transport and maximum accommodation of Li2O2 compared to the rest of the cases.
We acknowledge financial support for this work from Khalifa University of Science and Technology (projects RC2-2019-007 and CIRA2018-103).
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