A Hierarchical Nano/Sub-nano Hybrid Ion Conduction Channel Induced by Ion-Cluster-Confined Hydrolysis for High Ion Selectivity in Vanadium Redox Flow Batteries

H+/Vn+ ion selectivity of ion-conductive membranes is essential but challenging for vanadium redox flow batteries (VRFBs). Herein, the design of a hierarchical nano/sub-nano hybrid ion conduction channel through an ion-cluster-confined hydrolysis method is proposed to tune the topological and chemical structures in the channel. The ion clusters, co-assembled by sulfonic acid and sulfate ester groups in the precursor polybenzimidazole membrane, evolve into nano/sub-nano-sized pores during the hydrolytic conversion of sulfate ester groups into smaller hydroxyl groups, while the remaining sulfonic acid groups remain in smaller nano-sized ion clusters. The well-formed water-absorbed pores and ion clusters in the conductive channel construct strong hydrogen bond (0.97 Å) networks for fast proton hopping. The sub-nanopores (3.1–5.5 Å) decrease vanadium permeability by the size screening effect. With low area resistance (0.12 Ω cm2) and vanadium permeability (2.38 × 10–10 cm2 s–1), very high H+/Vn+ ion selectivity (1.89 × 1011 S s cm–3) is achieved, which is 3 orders of magnitude higher than that of Nafion 212 (3.32 × 108 S s cm–3). A VRFB containing such a channel presents excellent performance at a high current density of 260 mA cm–2, achieving 80.1% energy efficiency, a discharge capacity decay rate of 0.1%/cycle, and 1000 charge–discharge cycles without chemical structure change.

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Publication Details

Journal
ACS Energy Letters
Published
2025-08-18
DOI
https://doi.org/10.1021/acsenergylett.5c01563
Citations
1
Primary Topic
Advanced battery technologies research
Type
article
Field-Weighted Citation Impact
0.73

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article

A Hierarchical Nano/Sub-nano Hybrid Ion Conduction Channel Induced by Ion-Cluster-Confined Hydrolysis for High Ion Selectivity in Vanadium Redox Flow Batteries

Fujun Cui, Xiaoming Yan, Xuemei Wu, Xiaobin Jiang et al.
1 citations
ACS Energy Letters
Advanced battery technologies research
0.73
article

A Hierarchical Nano/Sub-nano Hybrid Ion Conduction Channel Induced by Ion-Cluster-Confined Hydrolysis for High Ion Selectivity in Vanadium Redox Flow Batteries

Fujun Cui, Xiaoming Yan, Xuemei Wu, Xiaobin Jiang, Tiantian Li, Gaohong He, Wanting Chen, Bo Pang
article en
1 citations

Abstract

H+/Vn+ ion selectivity of ion-conductive membranes is essential but challenging for vanadium redox flow batteries (VRFBs). Herein, the design of a hierarchical nano/sub-nano hybrid ion conduction channel through an ion-cluster-confined hydrolysis method is proposed to tune the topological and chemical structures in the channel. The ion clusters, co-assembled by sulfonic acid and sulfate ester groups in the precursor polybenzimidazole membrane, evolve into nano/sub-nano-sized pores during the hydrolytic conversion of sulfate ester groups into smaller hydroxyl groups, while the remaining sulfonic acid groups remain in smaller nano-sized ion clusters. The well-formed water-absorbed pores and ion clusters in the conductive channel construct strong hydrogen bond (0.97 Å) networks for fast proton hopping. The sub-nanopores (3.1–5.5 Å) decrease vanadium permeability by the size screening effect. With low area resistance (0.12 Ω cm2) and vanadium permeability (2.38 × 10–10 cm2 s–1), very high H+/Vn+ ion selectivity (1.89 × 1011 S s cm–3) is achieved, which is 3 orders of magnitude higher than that of Nafion 212 (3.32 × 108 S s cm–3). A VRFB containing such a channel presents excellent performance at a high current density of 260 mA cm–2, achieving 80.1% energy efficiency, a discharge capacity decay rate of 0.1%/cycle, and 1000 charge–discharge cycles without chemical structure change.

ACS Energy LettersVol. 10(9)
Dalian University of Technology (CN), Dalian University (CN), State Key Laboratory of Chemical Engineering (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Key Technology Research and Development Program of Shandong
Openalex Percentile: Top 25%
Advanced battery technologies research
0.73
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