Abstract

Highlights

  • The Li+ diffusion coefficient of Co2VO4 is evaluated by theoretical calculation to be as high as 3.15 × 10–10 cm2 s−1, theoretically proving Co2VO4 a promising anode in fast-charging lithium-ion batteries.

  • A hexagonal porous Co2VO4 nanodisk (PCVO ND) structure is designed, featuring a high specific surface area of 74.57 m2 g−1 and numerous pores with a pore size of 14 nm.

  • The PCVO ND shows excellent fast-charging performance (a high average capacity of 344.3 mAh g−1 at 10 C for 1000 cycles with only 0.024% capacity loss per cycle for 1000 cycles).

High-energy–density lithium-ion batteries (LIBs) that can be safely fast-charged are desirable for electric vehicles. However, sub-optimal lithiation potential and low capacity of commonly used LIBs anode cause safety issues and low energy density. Here we hypothesize that a cobalt vanadate oxide, Co2VO4, can be attractive anode material for fast-charging LIBs due to its high capacity (~ 1000 mAh g−1) and safe lithiation potential (~ 0.65 V vs. Li+/Li). The Li+ diffusion coefficient of Co2VO4 is evaluated by theoretical calculation to be as high as 3.15 × 10–10 cm2 s−1, proving Co2VO4 a promising anode in fast-charging LIBs. A hexagonal porous Co2VO4 nanodisk (PCVO ND) structure is designed accordingly, featuring a high specific surface area of 74.57 m2 g−1 and numerous pores with a pore size of 14 nm. This unique structure succeeds in enhancing Li+ and electron transfer, leading to superior fast-charging performance than current commercial anodes. As a result, the PCVO ND shows a high initial reversible capacity of 911.0 mAh g−1 at 0.4 C, excellent fast-charging capacity (344.3 mAh g−1 at 10 C for 1000 cycles), outstanding long-term cycling stability (only 0.024% capacity loss per cycle at 10 C for 1000 cycles), confirming the commercial feasibility of PCVO ND in fast-charging LIBs.

Details

Title
Porous Co2VO4 Nanodisk as a High-Energy and Fast-Charging Anode for Lithium-Ion Batteries
Author
Ren Jinghui 1 ; Wang, Zhenyu 2 ; Xu, Peng 1 ; Wang, Cong 1 ; Gao Fei 1 ; Zhao, Decheng 1 ; Liu Shupei 1 ; Yang, Han 1 ; Wang, Di 1 ; Niu Chunming 3 ; Zhu Yusong 1 ; Wu, Yutong 1 ; Liu, Xiang 1 ; Wang Zhoulu 1 ; Zhang, Yi 1 

 Nanjing Tech University, School of Energy Science and Engineering, Nanjing, People’s Republic of China (GRID:grid.412022.7) (ISNI:0000 0000 9389 5210) 
 Xi’an Jiaotong University, Center of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an, People’s Republic of China (GRID:grid.43169.39) (ISNI:0000 0001 0599 1243); Max-Planck-Insitut Für Eisenforschung GmbH, Department of Computational Materials Design, Düsseldorf, Germany (GRID:grid.4372.2) (ISNI:0000 0001 2105 1091) 
 Xi’an Jiaotong University, Center of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an, People’s Republic of China (GRID:grid.43169.39) (ISNI:0000 0001 0599 1243) 
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
ISSN
23116706
e-ISSN
21505551
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2605423039
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.