Challenges in the synthesis of high voltage electrode materials for lithium-ion batteries: a review on LiNiPO 4

Stefan M. Rommel, Norbert Schall, Christian Brünig,Richard Weihrich

Cheminform(2014)

引用 40|浏览1
暂无评分
摘要
The current array of commercially produced cathode materials for advanced lithium-ion batteries is poorly suited to today’s energy supply demands. A current example of this problem is the unsatisfactory range of commercially available electric vehicles or even of mobile electronic devices. The bottleneck of capacity is the availability of cathode materials like LiCoO 2 that also has associated safety risks. Lithium conducting phosphates with the olivine structure LiMPO 4 (M = Fe, Mn, Co, Ni) with a theoretical capacity of approximately 170 mAh g −1 might provide recourse. LiNiPO 4 has received increasing interest in recent years, mainly because of its similar structure to LiFePO 4 , which was shown to have beneficial electrochemical properties after a few years of intensive research. An optimized nickel phosphate would in theory possess an even higher energy density, because of its redox potential of about 5.1 V vs. Li/Li + . Nevertheless advances in ionic and electronic conductivity as well as electrochemical reversibility of LiNiPO 4 are rare and the reasons are not fully understood. This review presents an overview of recent progress in the fabrication of LiNiPO 4 powders and the general synthesis approaches to circumvent the drawbacks of LiNiPO 4 . The impacts of these fabrication methods on the purity, structure, and electrochemical performance of LiNiPO 4 powders are discussed. Particular attention is paid to electrochemical activation of nickel in the olivine structure and recent trials to apply LiNiPO 4 in aqueous and nonaqueous lithium-ion batteries are reviewed. On the basis of this rigorous study a complete picture of the state of the art of LiNiPO 4 as a possible cathode material and its perspectives is given. Graphical abstract
更多
查看译文
关键词
Electrochemistry,Intercalation compounds,Material science,Electrode
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要