Yige Xiong , Die Zhang , Xiaorong Ruan , Shanbao Jiang , Xueqin Zou , Wei Yuan , Xiuxue Liu , Yapeng Zhang , Zeqi Nie , Donghai Wei , Yubin Zeng , Peng Cao , Guanhua Zhang
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Artificial intelligence in rechargeable battery: Advancements and prospects
Advanced rechargeable battery technologies are the primary source of energy storage, which hold significant promise for tackling energy challenges. However, the progress of these technologies is affected by various factors, including technical and capital investment challenges. The technical challenges primarily involve performance optimization. Artificial intelligence (AI), with its robust data processing and decision-making capabilities, is poised to promote the high-quality and rapid development of rechargeable battery research. This paper begins by elucidating the key techniques and fundamental framework of AI, then summarizes applications of AI in advanced battery research. Subsequently, critical applications and exemplary research advancements of AI techniques in various batteries are presented. Finally, potential issues and future development directions of AI technologies in facilitating the development of batteries are discussed. This review offers guidance for applications of AI techniques in future research on advanced batteries.
期刊介绍:
Energy Storage Materials is a global interdisciplinary journal dedicated to sharing scientific and technological advancements in materials and devices for advanced energy storage and related energy conversion, such as in metal-O2 batteries. The journal features comprehensive research articles, including full papers and short communications, as well as authoritative feature articles and reviews by leading experts in the field.
Energy Storage Materials covers a wide range of topics, including the synthesis, fabrication, structure, properties, performance, and technological applications of energy storage materials. Additionally, the journal explores strategies, policies, and developments in the field of energy storage materials and devices for sustainable energy.
Published papers are selected based on their scientific and technological significance, their ability to provide valuable new knowledge, and their relevance to the international research community.