Digitization of flow battery experimental process research and development

Changyu Chen, Gaole Dai, Yuechen Gao, Peizhe Xu, Wei He, Shunan Feng, Xi Zhu, Yu Zhao
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Abstract

Rising atmospheric CO2 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 all-vanadium 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.
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液流电池实验过程研发数字化
大气中二氧化碳浓度不断上升,迫切需要先进的可持续能源存储解决方案,这凸显了可再生能源的关键作用。本视角深入探讨了氧化还原液流电池作为潜在电网储能竞争者的能力,强调了它们与传统锂离子电池相比的优势。虽然全钒液流电池已经确立了自己的地位,但对钒供应的担忧使人们对有机液流电池产生了兴趣。有机材料的多面性要求采用人工智能、机器人技术和材料科学相结合的综合方法来提高电池的功效。人工智能和机器人技术的结合加快了研发进程,包括从数据同化到不断改进的各个方面。随着 "元宇宙 "的蓬勃发展,一个开创性的合作研究途径应运而生,有可能彻底改变液流电池的研究,并推动可持续能源解决方案的发展。
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