微观结构
阳极
氢氧化钠
材料科学
壳体(结构)
芯(光纤)
化学工程
钠
碳纤维
复合材料
化学
冶金
电极
工程类
复合数
物理化学
作者
Haihua Wang,Huizhu Niu,Kewei Shu,Liyu Sun,Yu Wang,Yifan Du,Yun Han,Cun-guo Yang,Yong‐Mook Kang
标识
DOI:10.1016/j.jmst.2024.05.009
摘要
Pore structure engineering has been acknowledged as suitable approach to creating active sites and enhancing ion transport capabilities of hard carbon anodes. However, conventional porous carbon materials exhibit high BET and surface defects. Additionally, the sodium storage mechanism predominantly occurs in the slope region. This contradicts practical application requirements because the capacity of the plateau region is crucial for determining the actual capacity of batteries. In our work, we prepared a novel "core-shell" carbon framework (CNA1200). Introducing closed pores and carboxyl groups into coal-based carbon materials to enhance its sodium storage performance. The closed pore structure dominates in the "core" structure, which is attributed to the timely removal of sodium hydroxide (NaOH) to prevent further formation of active carbon structure. The presence of closed pores is beneficial for increasing sodium ion storage in the low-voltage plateau region. And the "shell" structure originates from coal tar pitch, it not only uniformly connects hard carbon particles together to improve cycling stability, but is also rich in carboxyl groups to enhance the reversible sodium storage performance in slope region. CNA1200 has excellent electrochemical performance, it exhibits a specific capacity of 335.2 mAh g−1 at a current density of 20 mA g−1 with ICE = 51.53%. In addition, CNA1200 has outstanding cycling stability with a capacity retention of 91.8% even when cycling over 200 times. When CNA1200 is used as anode paired with Na3V2(PO4)3 cathode, it demonstrates a capacity of 109.54 mAh g−1 at 0.1 C and capacity retention of 94.64% at 0.5 C. This work provides valuable methods for regulating the structure of sodium-ion battery (SIBs) anode and enhances the potential for commercialization.
科研通智能强力驱动
Strongly Powered by AbleSci AI