阴极
材料科学
电动汽车
电池(电)
涂层
掺杂剂
兴奋剂
工程物理
纳米技术
化学工程
电气工程
光电子学
工程类
物理
量子力学
功率(物理)
作者
Jihyeon Gim,Jinhyup Han,Özgenur Kahvecioğlu,Peng Zuo,Lianfeng Zou,Fulya Doğan,Anil U. Mane,Pragathi Darapaneni,Chongmin Wang,Jeffrey W. Elam,Eungje Lee,Khalil Amine,Jason R. Croy
出处
期刊:Meeting abstracts
日期:2022-10-09
卷期号:MA2022-02 (3): 286-286
标识
DOI:10.1149/ma2022-023286mtgabs
摘要
The significant growth rate of the electric vehicles (EVs) market, powered by rechargeable lithium-ion batteries (LIBs), in favor over of the internal combustion engine (ICE), represents an opportunity to massively reduce CO 2 emissions and help limit global warming issues. EVs should have a similar performance to that of ICE-powered vehicles in terms of fulfilling driving range as well as lifetime of the battery to appeal the potential consumers. However, the driving range of EV’s is limited by the battery performance, which is related to the properties of the cathode material. Therefore, the development of advanced cathodes is needed. Current state-of-the-art, Li-ion cathodes for EV batteries are derived from layered LiNiO 2 (LNO) by substitution of Ni with other elements such as Mn, Co, and Al – so called LiNi x Mn y Co z Al 1-x-y-z O 2 (NMCA). Substitutions are used to offset the inferior structural stability and poor cycle-life performance of typically-produced, high-capacity NMCAs. In this regard, pure LNO has been reported as a baseline material for gauging the improvements, via doping/coating strategies, for the NMCA-class of cathodes. However, for the purposes of a fully understanding the roles of Mn, Co, Al, and other dopants in NMCAs, the development of a truly state-of-the-art, LNO cathode should be accomplished. This presentation will discuss the various parameters affecting the synthesis and performance of LNO and LNO-based oxides, from precursors to final products, and the strategies that have been pursued at Argonne National Laboratory towards the realization of high-performance LNO baselines and derivatives thereof. Their potential applicability to battery applications will be also reviewed.
科研通智能强力驱动
Strongly Powered by AbleSci AI