Abstract
The practical use of lithium metal anodes in solid-state batteries requires a polymer membrane with high lithium-ion conductivity, thermal/electrochemical stability, and mechanical strength. The primary challenge is to effectively decouple the ionic conductivity and mechanical strength of the polymer electrolytes. We report a remarkably facile single step synthetic strategy based on in-situ crosslinking of poly(ethylene oxide) (xPEO) in the presence of a woven glass fiber (GF). Such a simple method yields composite polymer electrolytes (CPE) of anomalously high elastic modulus up to 2.5 GPa over a broad temperature range (20 °C – 245 °C) that has never been previously documented. An unsupervised machine learning algorithm, K-mean clustering analysis, was implemented on the hyperspectral Raman mapping at the xPEO/GF interface. Using such a unique means, we show for the first time that the promoted mechanical strength originates from xPEO and GF interactions through dynamic hydrogen and ionic bonding. High ionic conductivity is achieved by the addition plasticizer (e.g. tetraglyme), where trifluoromethanesulfonate anions are tethered to the xPEO matrix and Li+ cations are favorably transported through coordination with the plasticizer. Further, stringent galvanostatic cycling tests indicates the CPE can be stably cycled for >3000 h in a Li-metal symmetric cell at a moderate temperature (nearly 1500 Coulombs/cm2 Li equivalents), outperforming most of the PEO-based electrolytes. The GF reinforced CPE reported here has multifunctional uses, such as solid electrolytes for all solid-state batteries and membranes for redox-flow batteries. Although the focus of this study is on lithium-based batteries, the results are equally promising for other alkali metal based batteries such as sodium and potassium.
Original language | English |
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Pages (from-to) | 431-442 |
Number of pages | 12 |
Journal | Energy Storage Materials |
Volume | 35 |
DOIs | |
State | Published - Mar 2021 |
Funding
This work performed at Oak Ridge National Laboratory is supported by Energy Storage Program, Office of Electricity and Battery Materials Program (BMR), Vehicle Technology Office, EERE , Department of Energy USA. SZ, BL, SG, PC and APS acknowledge partial financial support on DMA and rheology measurements by the U.S. Department of Energy , Office of Science , Basic Energy Sciences , Materials Sciences and Engineering Division. We thank Huntsman Corporation for providing us Jeffamine Ⓡ . We also appreciate fruitful discussions with Drs. Nancy J. Dudney, Ethan C. Self, Xi (Chelsea) Chen, Andrew Westover, Gabriel M. Veith, and Yiman Zhang. This work performed at Oak Ridge National Laboratory is supported by Energy Storage Program, Office of Electricity and Battery Materials Program (BMR), Vehicle Technology Office, EERE, Department of Energy USA. SZ, BL, SG, PC and APS acknowledge partial financial support on DMA and rheology measurements by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division. We thank Huntsman Corporation for providing us Jeffamine?. We also appreciate fruitful discussions with Drs. Nancy J. Dudney, Ethan C. Self, Xi (Chelsea) Chen, Andrew Westover, Gabriel M. Veith, and Yiman Zhang. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05–00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-publicaccess-plan ).
Funders | Funder number |
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Department of Energy USA | |
Huntsman Corporation | |
U.S. Department of Energy | |
Office of Science | |
Office of Energy Efficiency and Renewable Energy | |
Basic Energy Sciences | |
Division of Materials Sciences and Engineering |
Keywords
- Composite polymer electrolytes
- Elastic modulus
- K-means clustering
- Lithium metal battery
- Machine learning
- Poly (ethylene oxide)
- Raman mapping