Abstract

Lithium (Li) dendrite growth significantly deteriorates the performance and shortens the operation life of lithium metal batteries. Capturing the intricate dynamics of surface localized and rapid mass transport at the electrolyte–electrode interface of lithium metal is essential for the understanding of the dendrite growth process, and the evaluation of the solutions mitigating the dendrite growth issue. Here we demonstrate an approach based on an ultrasensitive tilted fiber Bragg grating (TFBG) sensor which is inserted close to the electrode surface in a working lithium metal battery, without disturbing its operation. Thanks to the superfine optical resonances of the TFBG, in situ and rapid monitoring of mass transport kinetics and lithium dendrite growth at the nanoscale interface of lithium anodes have been achieved. Reliable correlations between the performance of different natural/artificial solid electrolyte interphases (SEIs) and the time-resolved optical responses have been observed and quantified, enabling us to link the nanoscale ion and SEI behavior with the macroscopic battery performance. This new operando tool will provide additional capabilities for parametrization of the batteries’ electrochemistry and help identify the optimal interphases of lithium metal batteries to enhance battery performance and its safety.

Operando monitoring of mass transport kinetics and lithium dendrite growth in lithium metal batteries and parametrization of the batteries’ electrochemistry and safety have been achieved using optical fiber sensors.

Details

Title
Operando monitoring of dendrite formation in lithium metal batteries via ultrasensitive tilted fiber Bragg grating sensors
Author
Han, Xile 1 ; Zhong, Hai 2 ; Li, Kaiwei 3 ; Xue, Xiaobin 1 ; Wu, Wen 1 ; Hu, Nan 1 ; Lu, Xihong 4 ; Huang, Jiaqiang 5 ; Xiao, Gaozhi 6 ; Mai, Yaohua 2 ; Guo, Tuan 1   VIAFID ORCID Logo 

 Jinan University, Institute of Photonics Technology, Guangzhou, China (GRID:grid.258164.c) (ISNI:0000 0004 1790 3548) 
 Jinan University, Institute of New Energy Technology, College of Information Science and Technology, Guangzhou, China (GRID:grid.258164.c) (ISNI:0000 0004 1790 3548) 
 Jinan University, Institute of Photonics Technology, Guangzhou, China (GRID:grid.258164.c) (ISNI:0000 0004 1790 3548); Jilin University, Key Laboratory of Bionic Engineering (Ministry of Education), Changchun, China (GRID:grid.64924.3d) (ISNI:0000 0004 1760 5735) 
 Sun Yat-Sen University, The Key Lab of Low-Carbon Chemistry & Energy Conservation of Guangdong Province, School of Chemistry, Guangzhou, China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X) 
 The Hong Kong University of Science and Technology (Guangzhou), Nansha, Sustainable Energy and Environment Thrust, Guangzhou, China (GRID:grid.24515.37) (ISNI:0000 0004 1937 1450) 
 National Research Council of Canada, Advanced Electronics and Photonics Research Centre, Ottawa, Canada (GRID:grid.24433.32) (ISNI:0000 0004 0449 7958) 
Pages
24
Publication year
2024
Publication date
2024
Publisher
Springer Nature B.V.
e-ISSN
20477538
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2917420164
Copyright
© The Author(s) 2024. 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.