Issue 5, 2025

Preparation and structural optimization of vanadium oxide nanotubes as cathode materials for PIBs with improved performance

Abstract

In this work, we synthesized hollow multi-walled vanadium oxide nanotubes (VOx-NT) using a soft template technique under hydrothermal reaction conditions. By replacing organic templates, which do not contribute to electrochemical potassium storage, with K+ in a solution environment, we effectively retained the original hollow multi-walled structure of VOx-NT while obtaining the K-VOx-NT material. We conducted systematic characterizations of the microstructure, morphology, and composition of these materials and evaluated their potassium storage performance. Compared to the original VOx-NT, K-VOx-NT exhibited significantly enhanced cycling stability and rate performance when serving as the cathode in potassium-ion batteries (PIBs). It demonstrated a reversible discharge specific capacity of 75.7 mA h g−1 for the 1st cycle at a current density of 50 mA g−1 within a voltage range of 1.5–3.8 V (vs. K+/K) and retained 62.2 mA h g−1 after the 50th cycle. When a current density of 600 mA g−1 was applied, it could still deliver a capacity of 44.3 mA h g−1. Furthermore, the storage and degradation mechanisms of K+ in K-VOx-NT were elucidated. In addition, using hard carbon as the anode, the K-VOx-NT full-cell was tested to further evaluate its practical performance. This work provides insight into the design and modification of vanadium-based cathode materials for future PIBs.

Graphical abstract: Preparation and structural optimization of vanadium oxide nanotubes as cathode materials for PIBs with improved performance

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Article information

Article type
Paper
Submitted
27 Oct 2024
Accepted
19 Jan 2025
First published
03 Feb 2025
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2025,15, 3339-3352

Preparation and structural optimization of vanadium oxide nanotubes as cathode materials for PIBs with improved performance

Y. Xie, J. Wen, J. Huang, R. Jiang, L. Dai, Y. Ren, Z. Liu and X. Zhou, RSC Adv., 2025, 15, 3339 DOI: 10.1039/D4RA07672A

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