Energy Storage Science and Technology ›› 2024, Vol. 13 ›› Issue (11): 3826-3855.doi: 10.19799/j.cnki.2095-4239.2024.0459

• Energy Storage Materials and Devices • Previous Articles     Next Articles

Current research status and future prospects of the synthesis and modification routes for LATP and LAGP solid electrolytes

Zhen CHEN(), Xian'ao LI, Yiwei XU, Xin LIU(), Zexiang SHEN, Minghua CHEN()   

  1. Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China
  • Received:2024-05-27 Revised:2024-06-13 Online:2024-11-28 Published:2024-11-27
  • Contact: Xin LIU, Minghua CHEN E-mail:chen.zhen@hrbust.edu.cn;liu.xin@hrbust.edu.cn;mhchen@hrbust.edu.cn

Abstract:

Solid-state electrolytes are essential components of solid-state batteries, garnering significant attention for their potential to pair effectively with high-capacity cathode and anode materials, enhance energy density, and address the safety issues inherent in liquid lithium-ion batteries. Among these, NASICON-type oxide solid electrolytes, such as Li1+x Al x Ti2-x (PO4)3 (LATP, 0 ≤ x ≤ 0.5) and Li1+x Al x Ge2-x (PO4)3 (LAGP, 0 ≤ x ≤ 0.5), stand out due to their excellent air stability, high ionic conductivity, low-cost raw materials, and favorable synthesis conditions, making them strong candidates for commercial applications. However, traditional methods for optimizing synthesis and modification are often costly, time-consuming, and inefficient. Current research focuses on elucidating ion transport mechanisms, exploring novel synthesis techniques, and enhancing the efficiency of material development for LATP and LAGP. This paper reviews the advancements in LATP and LAGP research, including their crystal structures, ion conduction mechanisms, synthesis methods, performance enhancement strategies, and the integration of machine learning in material synthesis. By evaluating synthesis costs and product performance, the study identifies optimal synthesis pathways with potential for industrial application. Specific examples illustrate the promising role of machine learning in advancing the field of solid-state electrolytes. The paper concludes with an analysis of existing research gaps and outlines future directions for basic research, engineering applications, and commercial promotion of LATP and LAGP solid-state electrolytes.

Key words: LATP/LAGP solid-state electrolytes, Li+ transport mechanism, synthesis methods, doping modification, machine learning

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