4.7 Article

Performance modeling and parameter sensitivity analyses of an aluminum-air battery with dual electrolyte structure

Journal

JOURNAL OF ENERGY STORAGE
Volume 32, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.est.2020.101696

Keywords

Aluminum-air battery; Dual electrolyte; Electrochemical cell modeling; Battery performance prediction; Sensitivity analysis

Categories

Funding

  1. National Key R&D Program of China [2017YFC0404203]
  2. Aeronautical Science Fund [201728R3001]
  3. Key R&D Program of Jiangsu Province [BE2016163]
  4. Senior Talent Fund of Jiangsu University [5501440001]

Ask authors/readers for more resources

A numerical model is created to simulate the performance of an aluminum-air battery (AAB) cell with a dual electrolyte structure and the simulation results of discharge voltage and power density at varying current density are validated with the experimental measurements from a home-made battery cell. The resistance due to the formation of passivation film on the aluminum anode is modeled as a resistive film in the numerical model. After estimating the performance of originally designed battery cell, the effect of model parameters on the battery performance is scrutinized by adjusting the parameter values within a suitable range. The simulation results demonstrate that the passivation film on the aluminum anode strongly deteriorates the battery performance. If the resistance of the passivation film is diminished to 25% of the original one, the open circuit voltage increases to 1.5 V which can compete with the AAB with pure alkaline electrolyte. The thickness of dual-electrolyte is an important factor, which strongly increases the discharge power density and the corresponding current density as it decreases. The OH concentration, partial oxygen pressure, different catalysts, thickness and active specific surface area of the catalyst layer also show a secondary role in performance improvement, but a trade-off needs from the economic perspective. Finally, a linear regression method is employed to analyze the sensitivity of five model parameters to the battery performance and the relative importance is revealed.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available