Opportunities of Aqueous Manganese-Based Batteries with Deposition and Stripping Chemistry

Mingming Wang, Xinhua Zheng, Xiang Zhang, Dongliang Chao, Shi Zhang Qiao, Husam N. Alshareef, Yi Cui, Wei Chen

Research output: Contribution to journalArticlepeer-review

133 Scopus citations


Rechargeable aqueous manganese-based batteries have been attracting significant attention owing to their advantages of low cost, high safety, and ease of manufacturing, which are promising attributes for grid-scale energy storage applications. However, most traditional manganese-based batteries with solid-state conversion and intercalation reactions suffer from low capacity and poor long-term cycling stability. The recent novel storage mechanism based on cathode Mn2+/MnO2 deposition/stripping chemistry has fundamentally tackled these issues, enabling a new generation of manganese-based batteries with superior electrochemical performance. Here, the recent advances in aqueous manganese-based batteries with the Mn2+/MnO2 deposition/stripping chemistry are reviewed. A summary of the development of manganese-based batteries with different storage mechanisms is provided and new opportunities for the emerging Mn2+/MnO2 chemistry in the latest generation are highlighted. Then, the current understanding of the Mn2+/MnO2 charge storage mechanism and its potential in manganese-based batteries for large-scale energy storage applications is presented. Moreover, insights into opportunities and future directions for manganese-based batteries with the Mn2+/MnO2 chemistry are proposed.
Original languageEnglish (US)
Pages (from-to)2002904
JournalAdvanced Energy Materials
StatePublished - Dec 21 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-12-29
Acknowledged KAUST grant number(s): OSR-CRG2018-3735
Acknowledgements: W.C. acknowledges the startup funds from University of Science and Technology of China (KY2060000150) and the support from USTC Center for Micro and Nanoscale Research and Fabrication. H.N.A. and Y.C. would like to acknowledge the support of King Abdullah University of Science and Technology (KAUST) for their fund under grant # OSR-CRG2018-3735.


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