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Enhanced strain mapping Unveils internal deformation dynamics in Silicon-based lithium-ion batteries during electrochemical cycling

Authors :
Bowen Wang
Kaiyuan Xue
Li Xi
Haosen Chen
Jiawei Wen
Chaojie Ma
Ying Li
Source :
Materials & Design, Vol 247, Iss , Pp 113404- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Silicon-based anodes have emerged as a promising advancement in lithium-ion battery technology, offering significantly higher lithium storage capacities than traditional graphite. However, the volumetric expansion of silicon-anodes can swell by up to 300 % during lithiation-presents serious challenges to their structural integrity and electrochemical stability. This study investigates the internal structural dynamics of silicon anodes during lithiation and delithiation cycles. A novel cell design for a 18,650 cylindrical cell featuring micro-sized internal speckles within the silicon anode is presented. This design improves the simulation of electrochemical conditions and allows for precise displacement tracking, mitigating impacts on capacity and cycle performance while enhancing Digital Volume Correlation (DVC) analysis. The research prioritizes reducing scan time and radiation exposure in micro-CT assessments of Li-ion cells, and improves the accuracy of internal strain mapping via DVC. Displacement fields over three charging and discharging cycles are documented. Notably, uneven volumetric changes are observed, with local displacements reaching up to 35 µm in areas smaller than 2.5 mm in radius, which contracted during charging and expanded during discharging. This protocol offers insights into the relationship between electrode mechanics and cell performance, promoting non-destructive evaluations of internal structures in commercial cells.

Details

Language :
English
ISSN :
02641275
Volume :
247
Issue :
113404-
Database :
Directory of Open Access Journals
Journal :
Materials & Design
Publication Type :
Academic Journal
Accession number :
edsdoj.74db5122ef124f1da331abc5bfe49035
Document Type :
article
Full Text :
https://doi.org/10.1016/j.matdes.2024.113404