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Data-driven optimization of flow field design for redox flow batteries: A statistical framework

delete2025-10-06
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PRE
AI
Y
Yang Yu
M
Mingwen Zhong
H
He Liu
Y
Yunfei Liu
徐朝阳 cover
徐朝阳 (Zhaoyang Xu)
Z
Zhejun Li *
DOI:10.1016/j.est.2025.118714delete
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Abstract

Abstract

En 中文
• 110 simulated configurations establish robust flow field optimization for redox batteries. • Novel descriptor identifies optimal designs via electrolyte pathway trade-off analysis. • Framework predicts flow fields valid across spatially constrained designs.

Journal

Journal of Energy Storage cover
Journal of Energy Storage
IF:
9.8
Papers:
2.2W
Citations:
10.1W

Organization

W
wuhan university
Scholars:
8.0W
Papers: 5.8W
Citations: 70