Semi-empirical modeling of the power balance of flow lithium/oxygen batteries

Federico Poli, Lotfollah Khanbaei Ghadikolaei and Franesca Soavi

Applied Energy, 2019, vol. 248, issue C, 383-389

Abstract: Advanced batteries are required for an optimal use of intermittent renewable energy sources and to boost new global energy policies. Flow lithium oxygen batteries represent a cutting-edge technology that brings in a unique solution the advantages of the high specific energy of Li/O2 batteries and the design flexibility of redox flow batteries. To maximize the performance of flow lithium oxygen batteries, a careful study of the fluid dynamics of the flow frame of the cell is still needed. Indeed, the pressure drops through the cell generate a loss of power that has to be minimized by a smart cell design. For the first time, the experimental evaluation and the modeling of the power balance of laboratory prototypes of flow lithium oxygen battery cells is here reported. We propose a new, simple semi-empirical approach provides a general law of the net power output of the cell vs flow velocity. We demonstrate that by an intelligent cell geometry it is possible to drastically reduce pressure drops even with viscous systems like the organic electrolytes used in high specific energy batteries. This novel semi-empirical approach can accelerate prototyping of advanced flow redox batteries.

Keywords: Lithium oxygen battery; Redox flow battery; Organic catholyte; Modeling; Cell design; Reticulated vitreous carbon (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261919307731
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:248:y:2019:i:c:p:383-389

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2019.04.133

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().