High-resolution mapping of discharge product in Li-O2 batteries

Lithium-oxygen (Li-O2) batteries have the highest theoretical specific energy of any chemical battery (~3500 Wh kg-1). However, their practical capacity is usually lower than theoretically expected, particularly at higher rates of discharge. Air electrode surface passivation and slow O2 mass transport through the porous electrode structure are the primary limitations on Li-O2 discharge capacity. To determine which of these factors is most significant it is necessary to spatially determine the relative utilisation of different portions of the electrode. Here we demonstrate how cross-sectional scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS) can be used to semi-quantitatively map the discharge product distribution within Li-O2 air electrodes. The distribution shows increased discharge product accumulation at the O2-side of the electrode, confirming that pore blockage and oxygen starvation are key factors leading to under-utilisation of the air electrode in Li-O2 cells. Simulated Li-O2 battery results align with the characterised discharge product distribution, lending validation to the model. Lab-based X-ray nano-computed tomography corroborates the SEM-EDS data to ensure sample preparation had minimal effect on the measured distribution. Collectively, these techniques can be used to determine the cause of performance changes due to different discharge conditions, alternative electrolyte compositions or electrode structure.

Authors

Publication Details

Journal
Apollo (University of Cambridge)
Published
2026-05-08
DOI
https://doi.org/10.17863/cam.129998
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-resolution mapping of discharge product in Li-O2 batteries

Israel Temprano, Margherita Martini, Michael De Volder, Clare Grey et al.
Apollo (University of Cambridge)
Advanced Battery Materials and Technologies
article

High-resolution mapping of discharge product in Li-O2 batteries

Israel Temprano, Margherita Martini, Michael De Volder, Clare Grey, Arnaud Dermortière, Laurence F Brazel, Eric Maire
article en

Abstract

Lithium-oxygen (Li-O2) batteries have the highest theoretical specific energy of any chemical battery (~3500 Wh kg-1). However, their practical capacity is usually lower than theoretically expected, particularly at higher rates of discharge. Air electrode surface passivation and slow O2 mass transport through the porous electrode structure are the primary limitations on Li-O2 discharge capacity. To determine which of these factors is most significant it is necessary to spatially determine the relative utilisation of different portions of the electrode. Here we demonstrate how cross-sectional scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS) can be used to semi-quantitatively map the discharge product distribution within Li-O2 air electrodes. The distribution shows increased discharge product accumulation at the O2-side of the electrode, confirming that pore blockage and oxygen starvation are key factors leading to under-utilisation of the air electrode in Li-O2 cells. Simulated Li-O2 battery results align with the characterised discharge product distribution, lending validation to the model. Lab-based X-ray nano-computed tomography corroborates the SEM-EDS data to ensure sample preparation had minimal effect on the measured distribution. Collectively, these techniques can be used to determine the cause of performance changes due to different discharge conditions, alternative electrolyte compositions or electrode structure.

Apollo (University of Cambridge)
Affordable and clean energy
Openalex Percentile: Top 8%
Advanced Battery Materials and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.