Ion Migration‐Induced Capacity Evolution in Iron–Chromium Redox Flow Batteries during Cycling

This article focuses on the iron–chromium redox flow batteries (ICRFBs), systematically investigating the effects of different states of charge (SOCs) on electrolytes, the correlation between detection conditions and capacity, ion migration mechanisms, joint estimation of component migration and capacity loss, as well as the significance of ion migration for system operation. The results reveal that during charging, the volume and ion concentration of positive/negative electrolytes exhibit regular changes, with chromium ion and hydrated hydrogen ion migration being the key factors affecting the charging process. Under detection conditions, SOCs calculated by concentration and voltage show deviations from theoretical values, highlighting the need for precise control of electrolyte charging depth in practical applications. Ion migration is driven by combined effects of potential difference, concentration gradient, and osmotic pressure. In the initial stage, ion diffusion delays capacity decay, while water molecule migration leads to normal capacity decline in the later stage. Utilizing a capacity recovery system combined with ion enrichment can enhance battery capacity beyond the design value. These findings provide critical theoretical support for the practical application and optimized design of ICRFBs.

Authors

Institutions

Publication Details

Journal
Energy Technology
Published
2025-07-18
DOI
https://doi.org/10.1002/ente.202500719
Primary Topic
Advanced battery technologies research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ion Migration‐Induced Capacity Evolution in Iron–Chromium Redox Flow Batteries during Cycling

Feng Shen, Jinxiu Cao, Lilong Zhang, Jing Li et al.
Energy Technology
Advanced battery technologies research
article

Ion Migration‐Induced Capacity Evolution in Iron–Chromium Redox Flow Batteries during Cycling

Feng Shen, Jinxiu Cao, Lilong Zhang, Jing Li, Xiaomeng Li, Rong Zhang, Jinghao Li, Jinyi Zhang, Ying Liu, Lin Yang, Yu Wei
article en

Abstract

This article focuses on the iron–chromium redox flow batteries (ICRFBs), systematically investigating the effects of different states of charge (SOCs) on electrolytes, the correlation between detection conditions and capacity, ion migration mechanisms, joint estimation of component migration and capacity loss, as well as the significance of ion migration for system operation. The results reveal that during charging, the volume and ion concentration of positive/negative electrolytes exhibit regular changes, with chromium ion and hydrated hydrogen ion migration being the key factors affecting the charging process. Under detection conditions, SOCs calculated by concentration and voltage show deviations from theoretical values, highlighting the need for precise control of electrolyte charging depth in practical applications. Ion migration is driven by combined effects of potential difference, concentration gradient, and osmotic pressure. In the initial stage, ion diffusion delays capacity decay, while water molecule migration leads to normal capacity decline in the later stage. Utilizing a capacity recovery system combined with ion enrichment can enhance battery capacity beyond the design value. These findings provide critical theoretical support for the practical application and optimized design of ICRFBs.

Energy TechnologyVol. 13(12)
State Power Investment Corporation (China) (CN)
State Power Investment Corporation
Reduced inequalities
Openalex Percentile: Top 82%
Advanced battery technologies research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.