Atomistic Modeling of the Charge Process in Lithium/Air Batteries

被引:10
作者
Dabrowski, Tatjana [1 ,2 ,3 ]
Ciacchi, Lucio Colombi [1 ,2 ,4 ]
机构
[1] Univ Bremen, BCCMS, Hybrid Mat Interfaces Grp, Fac Prod Engn, D-28359 Bremen, Germany
[2] Univ Bremen, Ctr Environm Res & Sustainable Technol UFT, D-28359 Bremen, Germany
[3] Fraunhofer Inst Mfg Technol & Adv Mat IFAM, D-26129 Oldenburg, Germany
[4] Univ Bremen, MAPEX Ctr Mat & Proc, D-28359 Bremen, Germany
关键词
LI-AIR CELLS; DIMETHYL-SULFOXIDE; MOLECULAR-DYNAMICS; OXYGEN BATTERY; LI2O2; PEROXIDE; KINETICS; ASSOCIATION; REDUCTION; SOLVATION;
D O I
10.1021/acs.jpcc.5b09002
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We present a combined classical and density functional theory (DFT) based Molecular Dynamics (MD) study of the mechanisms underlying the oxygen evolution reactions during the charging of lithium/air batteries. As models for the Li2O2 material at the cathode we employ small amorphous clusters with a 2:2 Li:O stoichiometry, whose energetically most stable atomic configurations comprise both O atoms and O-O pairs with mixed peroxide/superoxide character, as revealed by their bond lengths, charges, spin moments, and densities of states. The oxidation of Li8O8 clusters is studied in unbiased DFT-based MD simulations upon removal of either one or two electrons, either in vacuo or immersed in dimethyl sulfoxide solvent molecules with a structure previously optimized by means of classical MD. Whereas removal of one electron leads only to an enhancement of the superoxide character of O-O bonds, removal of two electrons leads to the spontaneous dissolution of either an O-2 or a LiO2+ molecule. These results are interpreted in terms of a two-stage process in which a peroxide-to-superoxide transition can take place in amorphous Li2O2 phases at low oxidation potentials, later followed by the dissolution of dioxygen molecules and Li+ ions at higher potentials.
引用
收藏
页码:25807 / 25817
页数:11
相关论文
共 50 条
  • [31] Structural and electronic properties of small lithium peroxide clusters in view of the charge process in Li-O2 batteries
    Hou, Binpeng
    Lei, Xueling
    Gan, Zuoliang
    Zhong, Shuying
    Liu, Gang
    Ouyang, Chuying
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2019, 21 (36) : 19935 - 19943
  • [32] Electrochemical model based charge optimization for lithium-ion batteries
    Pramanik, Sourav
    Anwar, Sohel
    JOURNAL OF POWER SOURCES, 2016, 313 : 164 - 177
  • [33] Discovery of organic catalysts boosting lithium carbonate decomposition toward ambient air operational lithium-air batteries
    Ko, Sunghyun
    Yoo, Yiseul
    Choi, Jinkwan
    Lim, Hee-Dae
    Park, Chan Beum
    Lee, Minah
    JOURNAL OF MATERIALS CHEMISTRY A, 2022, 10 (38) : 20464 - 20472
  • [34] The potential of hydrophobic membranes in enabling the operation of lithium-air batteries with ambient air
    Silva, Jean Felipe Leal
    Policano, Martim Chiquetto
    Tonon, Giovana Chinaglia
    Anchieta, Chayene Goncalves
    Doubek, Gustavo
    Filho, Rubens Maciel
    CHEMICAL ENGINEERING JOURNAL ADVANCES, 2022, 11
  • [35] Application of vacuum membrane distillation process for lithium recovery in spent lithium ion batteries (LIBs) recycling process
    Yun, Taekgeun
    Kim, Junghyun
    Lee, Seockheon
    Hong, Seungkwan
    DESALINATION, 2023, 565
  • [36] Recycling Application of Li-MnO2 Batteries as Rechargeable Lithium-Air Batteries
    Hu, Yuxiang
    Zhang, Tianran
    Cheng, Fangyi
    Zhao, Qing
    Han, Xiaopeng
    Chen, Jun
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2015, 54 (14) : 4338 - 4343
  • [37] Revisiting the Electroplating Process for Lithium-Metal Anodes for Lithium-Metal Batteries
    Sun, Xiaowen
    Zhang, Xinyue
    Ma, Qingtao
    Guan, Xuze
    Wang, Wei
    Luo, Jiayan
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2020, 59 (17) : 6665 - 6674
  • [38] Multiscale modeling of dendrite formation in lithium-ion batteries
    Lee, Hyeonggeon
    Sitapure, Niranjan
    Hwang, Sungwon
    Kwon, Joseph Sang-Il
    COMPUTERS & CHEMICAL ENGINEERING, 2021, 153
  • [39] Intrinsically Optimizing Charge Transfer via Tuning Charge/Discharge Mode for Lithium-Oxygen Batteries
    Liu, Wei
    Shen, Yue
    Yu, Yao
    Lu, Xia
    Zhang, Wang
    Huang, Zhaoming
    Meng, Jintao
    Huang, Yunhui
    Guo, Zaiping
    SMALL, 2019, 15 (19)
  • [40] Atomistic modeling of lithium materials from deep learning potential with ab initio accuracy
    Wang, Haidi
    Li, Tao
    Yao, Yufan
    Liu, Xiaofeng
    Zhu, Weiduo
    Chen, Zhao
    Li, Zhongjun
    Hu, Wei
    CHINESE JOURNAL OF CHEMICAL PHYSICS, 2023, 36 (05) : 573 - 581