The cycling mechanism of manganese-oxide cathodes in zinc batteries: A theory-based approach

TL;DR

This paper develops a comprehensive model combining DFT calculations and experimental data to elucidate the complex cycling mechanisms of manganese-oxide cathodes in zinc-ion batteries, focusing on electrolyte reactions and phase transitions.

Contribution

It introduces a continuum full cell model that integrates electrolyte reactions and DFT insights to explain the charge-storage mechanisms in ZIBs with manganese-oxide cathodes.

Findings

Identifies the dominant charge-storage mechanism in ZIBs.

Shows the impact of electrolyte pH on cycling performance.

Validates the model with experimental electrochemical data.

Abstract

Zinc-based batteries offer good volumetric energy densities and are compatible with environmentally friendly aqueous electrolytes. Zinc-ion batteries (ZIBs) rely on a lithium-ion-like Zn$^{2+}$-shuttle, which enables higher roundtrip efficiencies and better cycle life than zinc-air batteries. Manganese-oxide cathodes in near-neutral zinc sulfate electrolytes are the most prominent candidates for ZIBs. Zn$^{2+}$-insertion, H$^+$-insertion, and Mn$^{2+}$-dissolution are proposed to contribute to the charge-storage mechanism. During discharge and charge, two distinct phases are observed. Notably, the pH-driven precipitation of zinc-sulfate-hydroxide is detected during the second discharge phase. However, a complete and consistent understanding of the two-phase mechanism of these ZIBs is still missing. This paper presents a continuum full cell model supported by DFT calculations to investigate the implications of these observations. We integrate the complex-formation reactions of near-neutral aqueous electrolytes into the battery model and, in combination with the DFT calculations, draw a consistent picture of the cycling mechanism. We investigate the interplay between electrolyte pH and reaction mechanisms at the manganese-oxide cathodes and identify the dominant charge-storage mechanism. Our model is validated with electrochemical cycling data, cyclic voltammograms, and in-situ pH measurments. This allows us to analyse the influence of cell design and electrolyte composition on cycling and optimize the battery performance.