Monitoring the Strain Evolution of Lithium‐Ion Battery Electrodes using an Optical Fiber Bragg Grating Sensor
Abstract
Abstract More advanced characterization and developmental tools are essential to improve the performance and safety of Li‐ion batteries. Conventional tools have been limited to customized test cell configurations that require special facilities and expensive equipment. As a practical solution for the in situ monitoring of realistic battery cells, we have embedded fiber optic sensors within Li‐ion battery pouch cells to monitor the internal electrode strain and temperature during cycling. Here we report the direct monitoring of strain evolution using implanted fiber‐optic sensors within the individual electrodes in a Li‐ion battery. Reproducible peak shifting and splitting in the implanted fiber optic sensor originate from the accumulated longitudinal and transverse strains associated with the expansion or contraction of the anode electrode. These discoveries demonstrate the feasibility and utility of fiber Bragg grating (FBG) sensors to be used as diagnostic tools in the development of new battery materials and structures.
- Authors:
-
- Palo Alto Research Center (PARC) 3333 Coyote Hill Road Palo Alto CA 94304 USA, Korea Institute of Materials Science (KIMS) 797 Changwondaero Changwon Gyeongnam 641-831 Republic of Korea
- Palo Alto Research Center (PARC) 3333 Coyote Hill Road Palo Alto CA 94304 USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1400549
- Grant/Contract Number:
- AR0000274
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Energy Technology
- Additional Journal Information:
- Journal Name: Energy Technology Journal Volume: 4 Journal Issue: 7; Journal ID: ISSN 2194-4288
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- Germany
- Language:
- English
Citation Formats
Bae, Chang‐Jun, Manandhar, Ashish, Kiesel, Peter, and Raghavan, Ajay. Monitoring the Strain Evolution of Lithium‐Ion Battery Electrodes using an Optical Fiber Bragg Grating Sensor. Germany: N. p., 2016.
Web. doi:10.1002/ente.201500514.
Bae, Chang‐Jun, Manandhar, Ashish, Kiesel, Peter, & Raghavan, Ajay. Monitoring the Strain Evolution of Lithium‐Ion Battery Electrodes using an Optical Fiber Bragg Grating Sensor. Germany. https://doi.org/10.1002/ente.201500514
Bae, Chang‐Jun, Manandhar, Ashish, Kiesel, Peter, and Raghavan, Ajay. Thu .
"Monitoring the Strain Evolution of Lithium‐Ion Battery Electrodes using an Optical Fiber Bragg Grating Sensor". Germany. https://doi.org/10.1002/ente.201500514.
@article{osti_1400549,
title = {Monitoring the Strain Evolution of Lithium‐Ion Battery Electrodes using an Optical Fiber Bragg Grating Sensor},
author = {Bae, Chang‐Jun and Manandhar, Ashish and Kiesel, Peter and Raghavan, Ajay},
abstractNote = {Abstract More advanced characterization and developmental tools are essential to improve the performance and safety of Li‐ion batteries. Conventional tools have been limited to customized test cell configurations that require special facilities and expensive equipment. As a practical solution for the in situ monitoring of realistic battery cells, we have embedded fiber optic sensors within Li‐ion battery pouch cells to monitor the internal electrode strain and temperature during cycling. Here we report the direct monitoring of strain evolution using implanted fiber‐optic sensors within the individual electrodes in a Li‐ion battery. Reproducible peak shifting and splitting in the implanted fiber optic sensor originate from the accumulated longitudinal and transverse strains associated with the expansion or contraction of the anode electrode. These discoveries demonstrate the feasibility and utility of fiber Bragg grating (FBG) sensors to be used as diagnostic tools in the development of new battery materials and structures.},
doi = {10.1002/ente.201500514},
journal = {Energy Technology},
number = 7,
volume = 4,
place = {Germany},
year = {Thu Mar 10 00:00:00 EST 2016},
month = {Thu Mar 10 00:00:00 EST 2016}
}
https://doi.org/10.1002/ente.201500514
Web of Science
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