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Digitization of flow battery experimental process research and development

delete2024-03-14
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OA
AI
C
Changyu Chen
G
Gaole Dai
Y
Yuechen Gao
P
Peizhe Xu
W
Wei He
S
Shunan Feng
X
Xi Zhu *
赵宇 (Yu Zhao) *
DOI:10.20517/energymater.2023.91delete
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Abstract

Abstract

En 中文
Rising atmospheric CO 2 concentrations urgently call for advanced sustainable energy storage solutions, underlining the pivotal role of renewable energies. This perspective delves into the capabilities of redox flow batteries as potential grid storage contenders, highlighting their benefits over traditional lithium -ion batteries. While allvanadium flow batteries have established themselves, concerns about vanadium availability have steered interest toward Organic Flow Batteries. The multifaceted nature of organic materials calls for an integrated approach combining artificial intelligence, robotics, and material science to enhance battery efficacy. The union of artificial intelligence and robotics expedites the research and development trajectory, encompassing everything from data assimilation to continuous refinement. With the burgeoning metaverse, a groundbreaking avenue for collaborative research emerges, potentially revolutionizing flow battery research and catalyzing the progression towards sustainable energy resolutions.
Keywords:
Renewable energies
redox flow batteries
material science
artificial intelligence
robotics
metaverse

Journal

Energy Materials cover
Energy Materials
IF:
11.2
Papers:
430
Citations:
1.7K

Organization

H
hangzhou normal university
Scholars:
1.3W
Papers: 7.8K
Citations: 8
T
The Chinese University of Hong Kong, Shenzhen
Scholars:
4.3K
Papers: 4.0K
Citations: 7