2017
DOI: 10.1149/2.0551711jes
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Pulse Polarization for Li-Ion Battery under Constant State of Charge: Part I. Pulse Discharge Experiments

Abstract: Given the increased dependence on battery-powered devices, it is necessary to develop new and robust methods to evaluate and predict battery performance and state of charge. Batteries, including Li-Ion batteries, are unsteady state systems and a need exists to evaluate performance under constant state of charge (SOC). The purpose of this work was to develop pulse polarization curves (PPC) for a Li-Ion battery under constant SOC in order to identify individual overvoltages, such as charge transfer kinetics and … Show more

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Cited by 21 publications
(20 citation statements)
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“…This makes sense since the kinetics operate on millisecond time scales. 1 While we attempted to capture the voltage loss due to kinetics alone with the 2 second pulse discharge, our modeling analysis in Figure 8 shows that we were not successful in completely eliminating other voltage losses. Even for a 2 second pulse discharge, losses attributable to the separator and mass transport are present in the positive and negative electrodes.…”
Section: Resultsmentioning
confidence: 99%
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“…This makes sense since the kinetics operate on millisecond time scales. 1 While we attempted to capture the voltage loss due to kinetics alone with the 2 second pulse discharge, our modeling analysis in Figure 8 shows that we were not successful in completely eliminating other voltage losses. Even for a 2 second pulse discharge, losses attributable to the separator and mass transport are present in the positive and negative electrodes.…”
Section: Resultsmentioning
confidence: 99%
“…Construction of pulse polarization curves from pulse discharge simulations.-Utilizing Newman's model in Comsol Multiphysics 3.5a [2][3][4][5][11][12][13][14][15][16][17][18][19][20] and fitting it to the experimental data 1,26 based on the four previously described factors (diffusivity 17 and kinetic rate constant [13][14][15][16]21 for each electrode), we constructed PPCs. We also created PPCs that were predicted by the model but were not experimentally validated.…”
Section: Resultsmentioning
confidence: 99%
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