Sensitive magnetometry reveals inhomogeneities in charge storage and weak transient internal currents in Li-ion cells
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Yinan Hu
- Geoffrey Z Iwata
- Mohaddese Mohammad
- Emilia V Silletta
- Arne Wickenbrock
- John W Blanchard
- Dmitry Budker
- Alexej Jerschow
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000535585100015&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1073/pnas.1917172117
- eISSN
- 1091-6490
- Externe Identifier
- Clarivate Analytics Document Solution ID: LR3HS
- PubMed Identifier: 32376633
- ISSN
- 0027-8424
- Ausgabe der Veröffentlichung
- 20
- Zeitschrift
- PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Schlüsselwörter
- magnetometry
- battery diagnostics
- optically pumped magnetometer
- magnetic susceptibility
- Paginierung
- 10667 - 10672
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Titel
- Sensitive magnetometry reveals inhomogeneities in charge storage and weak transient internal currents in Li-ion cells
- Sub types
- Article
- Ausgabe der Zeitschrift
- 117
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:p>The ever-increasing demand for high-capacity rechargeable batteries highlights the need for sensitive and accurate diagnostic technology for determining the state of a cell, for identifying and localizing defects, and for sensing capacity loss mechanisms. Here, we leverage atomic magnetometry to map the weak induced magnetic fields around Li-ion battery cells in a magnetically shielded environment. The ability to rapidly measure cells nondestructively allows testing even commercial cells in their actual operating conditions, as a function of state of charge. These measurements provide maps of the magnetic susceptibility of the cell, which follow trends characteristic for the battery materials under study upon discharge. In particular, hot spots of charge storage are identified. In addition, the measurements reveal the capability to measure transient internal current effects, at a level of μA, which are shown to be dependent upon the state of charge. These effects highlight noncontact battery characterization opportunities. The diagnostic power of this technique could be used for the assessment of cells in research, quality control, or during operation, and could help uncover details of charge storage and failure processes in cells.</jats:p>
- Autoren
- Yinan Hu
- Geoffrey Z Iwata
- Mohaddese Mohammadi
- Emilia V Silletta
- Arne Wickenbrock
- John W Blanchard
- Dmitry Budker
- Alexej Jerschow
- DOI
- 10.1073/pnas.1917172117
- eISSN
- 1091-6490
- ISSN
- 0027-8424
- Ausgabe der Veröffentlichung
- 20
- Zeitschrift
- Proceedings of the National Academy of Sciences
- Sprache
- en
- Online publication date
- 2020
- Paginierung
- 10667 - 10672
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Herausgeber
- Proceedings of the National Academy of Sciences
- Herausgeber URL
- http://dx.doi.org/10.1073/pnas.1917172117
- Datum der Datenerfassung
- 2022
- Titel
- Sensitive magnetometry reveals inhomogeneities in charge storage and weak transient internal currents in Li-ion cells
- Ausgabe der Zeitschrift
- 117
Datenquelle: Crossref
- Abstract
- The ever-increasing demand for high-capacity rechargeable batteries highlights the need for sensitive and accurate diagnostic technology for determining the state of a cell, for identifying and localizing defects, and for sensing capacity loss mechanisms. Here, we leverage atomic magnetometry to map the weak induced magnetic fields around Li-ion battery cells in a magnetically shielded environment. The ability to rapidly measure cells nondestructively allows testing even commercial cells in their actual operating conditions, as a function of state of charge. These measurements provide maps of the magnetic susceptibility of the cell, which follow trends characteristic for the battery materials under study upon discharge. In particular, hot spots of charge storage are identified. In addition, the measurements reveal the capability to measure transient internal current effects, at a level of μA, which are shown to be dependent upon the state of charge. These effects highlight noncontact battery characterization opportunities. The diagnostic power of this technique could be used for the assessment of cells in research, quality control, or during operation, and could help uncover details of charge storage and failure processes in cells.
- Addresses
- Institut für Physik, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany.
- Autoren
- Yinan Hu
- Geoffrey Z Iwata
- Mohaddese Mohammadi
- Emilia V Silletta
- Arne Wickenbrock
- John W Blanchard
- Dmitry Budker
- Alexej Jerschow
- DOI
- 10.1073/pnas.1917172117
- eISSN
- 1091-6490
- Externe Identifier
- PubMed Identifier: 32376633
- PubMed Central ID: PMC7245122
- Funding acknowledgements
- Bundesministerium für Bildung und Forschung: FKZ13N14439
- Deutsche Forschungsgemeinschaft: FO703/2-1
- National Science Foundation: CBET 1804723
- Open access
- false
- ISSN
- 0027-8424
- Ausgabe der Veröffentlichung
- 20
- Zeitschrift
- Proceedings of the National Academy of Sciences of the United States of America
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2020
- Paginierung
- 10667 - 10672
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Datum der Datenerfassung
- 2020
- Titel
- Sensitive magnetometry reveals inhomogeneities in charge storage and weak transient internal currents in Li-ion cells.
- Sub types
- Research Support, Non-U.S. Gov't
- research-article
- Research Support, U.S. Gov't, Non-P.H.S.
- Journal Article
- Ausgabe der Zeitschrift
- 117
Files
https://www.pnas.org/content/pnas/117/20/10667.full.pdf https://europepmc.org/articles/PMC7245122?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- The ever-increasing demand for high-capacity rechargeable batteries highlights the need for sensitive and accurate diagnostic technology for determining the state of a cell, for identifying and localizing defects, and for sensing capacity loss mechanisms. Here, we leverage atomic magnetometry to map the weak induced magnetic fields around Li-ion battery cells in a magnetically shielded environment. The ability to rapidly measure cells nondestructively allows testing even commercial cells in their actual operating conditions, as a function of state of charge. These measurements provide maps of the magnetic susceptibility of the cell, which follow trends characteristic for the battery materials under study upon discharge. In particular, hot spots of charge storage are identified. In addition, the measurements reveal the capability to measure transient internal current effects, at a level of μA, which are shown to be dependent upon the state of charge. These effects highlight noncontact battery characterization opportunities. The diagnostic power of this technique could be used for the assessment of cells in research, quality control, or during operation, and could help uncover details of charge storage and failure processes in cells.
- Autoren
- Yinan Hu
- Geoffrey Z Iwata
- Mohaddese Mohammadi
- Emilia V Silletta
- Arne Wickenbrock
- John W Blanchard
- Dmitry Budker
- Alexej Jerschow
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/32376633
- DOI
- 10.1073/pnas.1917172117
- eISSN
- 1091-6490
- Externe Identifier
- PubMed Central ID: PMC7245122
- Ausgabe der Veröffentlichung
- 20
- Zeitschrift
- Proc Natl Acad Sci U S A
- Schlüsselwörter
- battery diagnostics
- magnetic susceptibility
- magnetometry
- optically pumped magnetometer
- Sprache
- eng
- Country
- United States
- Paginierung
- 10667 - 10672
- PII
- 1917172117
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2020
- Titel
- Sensitive magnetometry reveals inhomogeneities in charge storage and weak transient internal currents in Li-ion cells.
- Sub types
- Journal Article
- Research Support, U.S. Gov't, Non-P.H.S.
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 117
Datenquelle: PubMed
- Beziehungen:
- Eigentum von