Synthesis of α-LiFeO2/Graphene nanocomposite via layer by layer self-assembly strategy for lithium-ion batteries with excellent electrochemical performance

doi:10.1016/j.jmst.2019.04.044

Abstract

Abstract:

As a potential alternative cathode material, α-LiFeO₂ suffers a realization handicap, mainly due to its poor electrical conductivity and low lithium ion diffusion rate. In this work, we have successfully synthesized α-LiFeO₂/rGO nanocomposite through a layer by layer self-assembly modification process and annealing treatment. Due to the strong electrostatic attraction between opposite charged spices, α-LiFeO₂ nanoparticles were homogeneously dispersed on the graphene sheet to form a typical interconnected conducting network which was beneficial for electronic conductivity and ionic diffusivity. In comparison to pristine α-LiFeO₂, the α-LiFeO₂/rGO displayed an excellent electrochemical performance with average discharge capacities of 238.9, 187.2, 178.4, 121.8 and 99.5 mA h g ^-1 at 0.1, 0.2, 0.5, 1 and 2 C, respectively. Besides, the specific capacity retained 164.9 mA h g^-1 and 107.98 mA h g^-1 after 50 cycles at 0.5 C and 1 C, respectively. The remarkable progress in rate capability and cycling ability of this new nanocomposite developed a new approach to improve the electrochemical performance of α-LiFeO₂.

Key words: α-LiFeO₂, Lithium ion battery, Graphene, Layer by layer self-assembly

Youzuo Hu, Hongyuan Zhao, Ming Tan, Jintao Liu, Xiaohui Shu, Meiling Zhang, Shanshan Liu, Qiwen Ran, Hao Li, Xingquan Liu. Synthesis of α-LiFeO₂/Graphene nanocomposite via layer by layer self-assembly strategy for lithium-ion batteries with excellent electrochemical performance[J]. J. Mater. Sci. Technol., 2020, 55: 173-181.

Figures/Tables 10

Table 1 Mass loading density of the active materials.

Testing condition	$m α - LiFeO 2 (mgcm - 2)$	$m α - LiFeO 2 / rGO (mgcm - 2)$
Rate performance	1.56	1.52
0.5 C cycling performance	1.34	1.30
1 C cycling performance	1.27	1.25

Table 1 Mass loading density of the active materials.

Testing condition	$m α - LiFeO 2 (mgcm - 2)$	$m α - LiFeO 2 / rGO (mgcm - 2)$
Rate performance	1.56	1.52
0.5 C cycling performance	1.34	1.30
1 C cycling performance	1.27	1.25

Scheme 1. Schematic illustration of synthesis of α-LiFeO2/rGO composite.

Fig. 1. XRD patterns of α-LiFeO2 and α-LiFeO2/rGO composite.

Fig. 2. SEM and TEM images of α-LiFeO2 (a, b) and α-LiFeO2/rGO composite (c-f); HRTEM (g) image with corresponding SAED pattern (h) of α-LiFeO2/rGO composite.

Fig. 3. (a) Raman spectra of α-LiFeO2 and α-LiFeO2/rGO composite, (b) N2 adsorption-desorption isotherms, (c) BET pore width of α-LiFeO2 and α-LiFeO2/rGO composite (d) TG curve of α-LiFeO2.

Fig. 4. XPS spectra of Li, O, Fe and C for α-LiFeO2/rGO composite.

Fig. 5. (a) Cycling performance of α-LiFeO2 and α-LiFeO2/rGO at 0.5 C in the voltage range of 1.5-4.8 V and the corresponding coulombic efficiency, specific charge and discharge curves of α-LiFeO2 (b) and α-LiFeO2/rGO (c), rate performance (d), average specific capacity (e) and cycling performance at 1 C (f) of α-LiFeO2 and α-LiFeO2/rGO.

Fig. 6. Cyclic voltammograms of (a) α-LiFeO2 and (b) α-LiFeO2 /rGO sample.

Fig. 7. Nyquist plots of (a) α-LiFeO2 and (b) α-LiFeO2 /rGO samples, (c) Equivalent circuit model of EIS, (d) the relationship curve between Z? and ω-1/2 in the low frequency.

Table 2 Fitting values of the charge transfer resistance (Rct) and DLi+.

Sample	Resistance (Ω)	0 cycle	10 cycles	20 cycles	50 cycles	D_Li⁺ (cm² S^-1)
α-LiFeO₂	R_ct	230.2	249.3	304.4	610.3	1.3 × 10^-12
α-LiFeO₂/rGO	R_ct	113.7	127.4	172.3	251	8.24 × 10^-12

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Synthesis of α-LiFeO₂/Graphene nanocomposite via layer by layer self-assembly strategy for lithium-ion batteries with excellent electrochemical performance

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