Journal article
Measuring effective stiffness of Li-ion batteries via acoustic signal processing
Journal of materials chemistry. A, Materials for energy and sustainability, v 8(32), pp 16624-16635
28 Aug 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this work we build upon acoustic-electrochemical correlations to investigate the relationships between sound wave structure and chemo-mechanical properties of a pouch cell battery. Cell thickness imaging and wave detection during pouch cell cycling are conducted in parallel. Improved acoustic hardware and signal processing are used to validate the direct measurement of material stiffness, which is an intrinsic physical property. Measurement of cell thickness to micron resolution and wave transmit time to nanosecond resolution in a temperature and pressure controlled acoustic rig allows for estimation of the effective stiffness. We further explore the effects of material type and cell layering on the acoustic signal, demonstrating that theoperandoacoustic method can accurately measure the changes in physical state properties of a battery with high dynamic temporal and spatial range.
Metrics
Details
- Title
- Measuring effective stiffness of Li-ion batteries via acoustic signal processing
- Creators
- Wesley Chang - Columbia UniversityRobert Mohr - Columbia UniversityAndrew Kim - Princeton UniversityAbhi Raj - Princeton UniversityGreg Davies - Princeton UniversityKate Denner - Princeton UniversityJeung Hun Park - Princeton UniversityDaniel Steingart - Dept Mech & Aerosp Engn, Princeton, NJ 08540 USA
- Publication Details
- Journal of materials chemistry. A, Materials for energy and sustainability, v 8(32), pp 16624-16635
- Publisher
- Royal Soc Chemistry
- Number of pages
- 12
- Grant note
- Department of Energy (DOE) XCEL program; United States Department of Energy (DOE) DMR-1420541 / Princeton Center for Complex Materials, a National Science Foundation (NSF)-MRSEC program; National Science Foundation (NSF) Princeton Catalysis Initiative
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000561168500047
- Scopus ID
- 2-s2.0-85090026916
- Other Identifier
- 991021889981104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Chemistry, Physical
- Energy & Fuels
- Materials Science, Multidisciplinary