Insights into the cycling stability of manganese-based zinc-ion batteries : from energy storage mechanisms to capacity fluctuation and optimization strategies

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

  • Yanxin Liao
  • Chun Yang
  • Jie Bai
  • Qingqing He
  • Huayu Wang
  • Haichao Chen
  • Lingyun Chen

Detail(s)

Original languageEnglish
Pages (from-to)7441–7473
Journal / PublicationChemical Science
Volume15
Issue number20
Online published11 Apr 2024
Publication statusPublished - 28 May 2024

Link(s)

Abstract

Manganese-based materials are considered as one of the most promising cathodes in zinc-ion batteries (ZIBs) for large-scale energy storage applications owing to their cost-effectiveness, natural availability, low toxicity, multivalent states, high operation voltage, and satisfactory capacity. However, their intricate energy storage mechanisms coupled with unsatisfactory cycling stability hinder their commercial applications. Previous reviews have primarily focused on optimization strategies for achieving high capacity and fast reaction kinetics, while overlooking capacity fluctuation and lacking a systematic discussion on strategies to enhance the cycling stability of these materials. Thus, in this review, the energy storage mechanisms of manganese-based ZIBs with different structures are systematically elucidated and summarized. Next, the capacity fluctuation in manganese-based ZIBs, including capacity activation, degradation, and dynamic evolution in the whole cycle calendar are comprehensively analyzed. Finally, the constructive optimization strategies based on the reaction chemistry of one-electron and two-electron transfers for achieving durable cycling performance in manganese-based ZIBs are proposed. © 2024 The Author(s). Published by the Royal Society of Chemistry

Research Area(s)

Citation Format(s)

Insights into the cycling stability of manganese-based zinc-ion batteries: from energy storage mechanisms to capacity fluctuation and optimization strategies. / Liao, Yanxin; Yang, Chun; Bai, Jie et al.
In: Chemical Science, Vol. 15, No. 20, 28.05.2024, p. 7441–7473.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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