Measuring effective stiffness of Li-ion batteries via acoustic signal processing-Reference-Cited by-同舟云学术

Measuring effective stiffness of Li-ion batteries via acoustic signal processing

Published:2020 Issue:32 Volume:8 Page:16624-16635
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Chang Wesley¹²³⁴⁵^ORCID,Mohr Robert⁶⁷³⁸⁹,Kim Andrew¹⁰²³⁴⁵,Raj Abhi¹⁰²³⁴⁵^ORCID,Davies Greg⁴⁵²³,Denner Kate¹²³,Park Jeung Hun¹²³¹¹²,Steingart Daniel¹²³¹¹²^ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering

2. Princeton

3. USA

4. Andlinger Center for Energy and the Environment

5. Princeton University

6. Department of Chemical Engineering

7. New York

8. Columbia Electrochemical Energy Center

9. Columbia University

10. Department of Electrical Engineering

11. Department of Chemical and Biological Engineering

Abstract

Accurate signal processing of acoustic waves is utilized to measure the intrinsic material stiffness of a layered cell stack and explore relationships between battery displacement, sound speed and stiffness during high rate cycling.

Funder

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/TA/D0TA05552B

Reference33 articles.

1. VELOCITY AND ATTENUATION OF SEISMIC WAVES IN TWO‐PHASE MEDIA: PART I. THEORETICAL FORMULATIONS

2. Long-wave elastic anisotropy produced by horizontal layering

3. Overview of the use of ultrasonic technologies in research on wood properties

4. Ultrasonic characterization of foods and drinks: Principles, methods, and applications

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances in acoustic techniques for evaluating defects and properties in lithium-ion batteries: A review;Ultrasonics;2024-08

2. Investigating the Performance and Safety of Li-Ion Cylindrical Cells Using Acoustic Emission and Machine Learning Analysis;Journal of The Electrochemical Society;2024-07-01

3. Investigations into the Dynamic Acoustic Response of Lithium-Ion Batteries During Lifetime Testing;Journal of The Electrochemical Society;2024-07-01

4. Deciphering Advanced Sensors for Life and Safety Monitoring of Lithium Batteries;Advanced Energy Materials;2024-04-27

5. Quantitative Ultrasound Spectroscopy for Screening Cylindrical Lithium‐Ion Batteries for Second‐Life Applications;Batteries & Supercaps;2024-04-03