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作 者:马伟俊 张东东 郑轲 吴松彦 Ma Weijun;Zhang Dongdong;Zheng Ke;Wu Songyan(School of Materials Science and Engineering,Dongguan University of Technology,Dongguan 523808,China;Guangdong Yixinfeng Intelligent Equipment Co.,Ltd.,Dongguan 523000,China)
机构地区:[1]东莞理工学院材料科学与工程学院,广东东莞523808 [2]广东亿鑫丰智能装备股份有限公司,广东东莞523000
出 处:《广东化工》2024年第18期59-61,共3页Guangdong Chemical Industry
基 金:国家自然科学基金(52102038);东莞市科技特派员项目(20211800500222);东莞理工学院科研启动基金(211135058);广东省研究生教育创新计划项目(221105029)。
摘 要:电动汽车、人工智能和虚拟现实等新兴技术的持续快速增长对锂离子电池能量密度、循环寿命的要求逐步提高。粘结剂作为锂离子电池的核心成分,在黏结电化学活性材料和导电剂、保持电极完整性、正/负极-电解质界面调控等方面具有实际意义,是提升锂离子电池电化学性能的有效方法。本文综述了新型粘结剂结构设计在不同能源存储材料中构筑高比能锂离子电池的最新研究进展,从人工智能(AI)技术角度展望了下一代锂离子电池用粘结剂的设计思路。The continuous and rapid growth of emerging technologies such as electric vehicles,artificial intelligence and virtual reality has gradually increased the energy density and cycle life requirements of lithium-ion batteries.As the core component of lithium-ion battery,binder has practical significance in bonding the electrochemically active material and conductive agent,maintaining electrode integrity,and regulating the positive/negative pole-electrolyte interface.It is an effective method to improve the electrochemical performance of lithium-ion battery.In this paper,the latest research progress of new binder structure design for constructing high specific energy lithium-ion batteries in different energy storage materials is reviewed,and the design ideas of the next generation of binders for lithium-ion batteries are prospect from the perspective of artificial intelligence(AI)technology.
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