Journal article
In Operando Acoustic Detection of Lithium Metal Plating in Commercial LiCoO2/Graphite Pouch Cells
Cell reports physical science, v 1(4), 100035
22 Apr 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The characterization and detection of lithium metal plating during standard operation of commercial Li-ion batteries has been a long-term challenge; the nature of lithium metal plating is unpredictable and highly dependent on operating temperature and charge rate. In operando detection of lithium plating is critical for ongoing and future developments of conventional Li-ion batteries, including fast charging capabilities, extreme temperature applications, and lithium metal secondary batteries. In this study, we describe the use of acoustic ultrasound to detect lithium metal plating on commercial graphite anodes within a standard form factor. Extending from previous work on ultrasound as a battery diagnostic tool, this proof-of-concept study delineates statistically significant linear relationships between ultrasonic time-of-flight and graphite staging, and acoustic time-of-flight and post mortem electrochemical measurements to characterize the extent of lithium metal plating.
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Ultrasonic signals can detect lithium metal plating in commercial Li-ion batteriesDegree of plating determined by measuring differences in ultrasonic time of flight28 combinations of charge rate and temperature conditions mapped outPlating occurrence confirmed post mortem, ultrasonic technique is rapid and simple
Unfavorable lithium metal plating in commercial Li-ion batteries is known to occur at colder temperatures and faster charge rates. Bommier et al. apply a commercially applicable ultrasonic technique to determine the degree of lithium metal plating during battery cycling as a function of temperature and charge rate.
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Details
- Title
- In Operando Acoustic Detection of Lithium Metal Plating in Commercial LiCoO2/Graphite Pouch Cells
- Creators
- Clement Bommier - Columbia UniversityWesley Chang - Columbia UniversityYufang Lu - Princeton UniversityJustin Yeung - Princeton UniversityGreg Davies - Princeton UniversityRobert Mohr - Columbia UniversityMateo Williams - Columbia UniversityDaniel Steingart - Princeton University
- Publication Details
- Cell reports physical science, v 1(4), 100035
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000658740900003
- Scopus ID
- 2-s2.0-85102645867
- Other Identifier
- 991021889989004721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Chemistry, Multidisciplinary
- Energy & Fuels
- Materials Science, Multidisciplinary
- Physics, Multidisciplinary