Abstract

Understanding ion transport kinetics and electrolyte-electrode interactions at electrode surfaces of batteries in operation is essential to determine their performance and state of health. However, it remains a challenging task to capture in real time the details of surface-localized and rapid ion transport at the microscale. To address this, a promising approach based on an optical fiber plasmonic sensor capable of being inserted near the electrode surface of a working battery to monitor its electrochemical kinetics without disturbing its operation is demonstrated using aqueous Zn-ion batteries as an example. The miniature and chemically inert sensor detects perturbations of surface plasmon waves propagating on its surface to rapidly screen localized electrochemical events on a sub-μm-scale thickness adjacent to the electrode interface. A stable and reproducible correlation between the real-time ion insertions over charge-discharge cycles and the optical plasmon response has been observed and quantified. This new operando measurement tool will provide crucial additional capabilities to battery monitoring methods and help guide the design of better batteries with improved electro-chemistries.

Operando tracking the ion dynamics/states of battery is critical to understanding of electrolyte-electrode interactions. Here the authors propose to use the surface plasmon waves to rapidly screen localized electrochemical events on a sub-μm-scale thickness adjacent to the electrode interface, without perturbing battery operation.

Details

Title
Operando monitoring of ion activities in aqueous batteries with plasmonic fiber-optic sensors
Author
Wang Runlin 1   VIAFID ORCID Logo  ; Zhang Haozhe 2 ; Liu, Qiyu 2 ; Liu, Fu 3 ; Han Xile 1 ; Liu, Xiaoqing 2 ; Li, Kaiwei 1 ; Xiao Gaozhi 4 ; Albert, Jacques 3   VIAFID ORCID Logo  ; Lu Xihong 2   VIAFID ORCID Logo  ; Guo Tuan 5   VIAFID ORCID Logo 

 Jinan University, Institute of Photonics Technology, Guangzhou, PR China (GRID:grid.258164.c) (ISNI:0000 0004 1790 3548) 
 School of Chemistry, Sun Yat-Sen University, The Key Lab of Low-Carbon Chemistry & Energy Conservation of Guangdong Province, Guangzhou, PR China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X) 
 Carleton University, Department of Electronics, Ottawa, Canada (GRID:grid.34428.39) (ISNI:0000 0004 1936 893X) 
 National Research Council of Canada, Advanced Electronics and Photonics Research Center, Ottawa, Canada (GRID:grid.24433.32) (ISNI:0000 0004 0449 7958) 
 Jinan University, Institute of Photonics Technology, Guangzhou, PR China (GRID:grid.258164.c) (ISNI:0000 0004 1790 3548); Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China (GRID:grid.511004.1) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2623201395
Copyright
© The Author(s) 2022. 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.