Molecular Dynamics Simulations of Ion Transport in High Transference Number Polyelectrolytes for Li-Ion Batteries
ORAL
Abstract
Conventional liquid electrolytes for Li-ion batteries suffer from low Li+ transference numbers, which limit mass transport in porous electrodes and thus reduce the battery’s energy density and rate capability. It has been proposed that replacing traditional Li-ion battery salts with lithium-neutralized polyanions dissolved in solution could be a means to increase the Li+ transference number while only modestly sacrificing ionic conductivity. While initial experimental studies have demonstrated the promise of this approach, rational design of optimal polyelectrolytes requires more fundamental, atomistic-level understanding of the ion transport mechanisms in these systems. To this end, we use classical molecular dynamics simulations to investigate the behavior of poly(allyl glycidyl ether-lithium sulfonate); this polyion has been thoroughly characterized experimentally for this application, enabling validation of the computational model. By characterizing the Li+ diffusion mechanism as well as ion aggregation behavior in the system, we elucidate the atomistic phenomena that most strongly govern experimentally-measured conductivity and transference numbers.
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Presenters
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Kara Fong
Chemical and Biomolecular Engineering, University of California, Berkeley
Authors
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Kara Fong
Chemical and Biomolecular Engineering, University of California, Berkeley
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Julian Self
Materials Science and Engineering, University of California, Berkeley
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Kyle Diederichsen
Chemical and Biomolecular Engineering, University of California, Berkeley
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Kristin Persson
Energy Technologies Area, Lawrence Berkeley National Laboratory, Materials Science and Engineering, University of California, Berkeley
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Bryan McCloskey
Chemical and Biomolecular Engineering, University of California, Berkeley