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Monitoring Redox Pathways and Performance Limitations in Lithium-Sulfur Batteries Using In Situ 7/6Li and 33S NMR Spectroscopies.

Accepted version
Peer-reviewed

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Abstract

Lithium-sulfur (Li-S) batteries offer high capacity and reduced costs in comparison to the traditional lithium-ion systems. However, the complex series of redox mechanisms that occur in this battery chemistry and accompanying structural transformations are often associated with different routes for cell failure. Therefore, a fundamental understanding of the underlying mechanisms is essential to accelerate the development of these batteries. The combination of operando 6/7Li and 33S NMR spectroscopy is reported for the first time, providing real-time structural information on the reaction pathways of the sulfur redox processes. The evolution of the polysulfides (poly-S) in the electrolyte and dendrite formation on the anode was monitored with 7Li and 6Li NMR spectroscopy. Via 33S NMR experiments, the exact onset of Li2S formation was determined. By following the evolution of poly-S species and Li2S, we could track the entire redox pathway and identify performance-limiting mechanisms. The accumulation of soluble poly-S, resulting from an incomplete poly-S to S8 reduction reaction during charge, was identified as one process leading to capacity fade, while degradation via a poly-S shuttle mechanism was negligible, at least during the first few cycles.

Description

Journal Title

Angew Chem Int Ed Engl

Conference Name

Journal ISSN

1433-7851
1521-3773

Volume Title

Publisher

Wiley

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Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
European Commission Horizon 2020 (H2020) ERC (835073)
Royal Society (RSRP\R\231005)
The authors thank Dr. Marie Juramy for help acquiring the SEM data and Dr. Teresa Insinna for support during EPR spectroscopic measurements. JBF gratefully acknowledge funding by the Faraday Institute through LiSTAR (FIRG014, FIRG058). CPG acknowledge support from a Royal Society Research Professorship (grant no. RP\R1\180147). CPG also acknowledge support from an ERC Advanced Investigator Grant (grant no. EC H2020 ERC 835073).