Study on the Correlation between i pa and i pc of Electrode in Vanadium Flow Batteries by In‐Situ Weak Measurement Imaging
Year: 2025
Type: article
Abstract: Traditional characterization techniques for vanadium flow batteries (VFBs) electrodes demonstrate significant limitations in resolving spatially heterogeneous reaction characteristics on electrode surfaces and efficiently characterizing large‐scale working electrodes. Consequently, mapping electrode activity distributions and establishing efficient screening strategies for high‐performance electrodes are critical for advancing VFBs research. Building on prior studies, this work employs weak measurement imaging (WMi) methodology to spatially characterize reaction activity distributions on VFBs positive electrode surfaces and quantitatively analyze electrode reaction parameters (i pa and i pc ). By statistically comparing extensive electrochemical data from working electrodes (randomly sampled from large graphite felt substrates and tested via electrochemical workstation, EW) with WMi‐derived data from individual electrodes, a pronounced linear correlation between oxidation and reduction peak current densities (i pa and i pc ) in VFBs working electrodes is identified. Systematic investigations of graphite felt (GF) and thermally activated graphite felt (TGF) electrodes under varied operational conditions confirmed this statistical relationship between i pa and i pc while validating the reliability of the WMi sensing system. This findings demonstrate that the WMi sensing system serves as a robust and versatile analytical tool for quantitatively characterizing electrode performance parameters. This approach facilitates efficient screening of high‐performance VFBs working electrodes, thereby accelerating the development of flow battery technologies.
Source: Small
Authors: Qi Yang, Hao Lin, Xueru Niu, Yang Xu, Zixin Wu, Liang Tan, Dongzhi Li, Jingyu Xi, Le Liu
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411135325
