2021
DOI: 10.1002/celc.202001575
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Realigning the Chemistry and Parameterization of Lithium‐Sulfur Battery Models to Accommodate Emerging Experimental Evidence and Cell Configurations

Abstract: Experimental insights into lithium-sulfur (LiS) battery chemistry have resulted in practical improvements in cell coulombic efficiency, sulfur utilization, and cycle life. However, optimization of this complex battery chemistry requires experimentally aligned modeling tools. A porous electrode theory-based model incorporating key electrolyte dissociation chemistry is developed for the LiS cell. The proposed chemistry produces a radical anion species that is widely observed spectroscopically in LiS electrolytes… Show more

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Cited by 8 publications
(8 citation statements)
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References 53 publications
(116 reference statements)
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“…In addition, inherent doping helps natural enhance the chemical interaction between sulfur and carbon, so the pursuit of natural in‐situ heteroatom‐doped biomass materials has a long‐term future. (4) Researching and developing theoretical models of carbon and its composite materials derived from biomass to guide specific research work [132] . The research and development of the model is conducive to having a deeper understanding of the reaction process.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, inherent doping helps natural enhance the chemical interaction between sulfur and carbon, so the pursuit of natural in‐situ heteroatom‐doped biomass materials has a long‐term future. (4) Researching and developing theoretical models of carbon and its composite materials derived from biomass to guide specific research work [132] . The research and development of the model is conducive to having a deeper understanding of the reaction process.…”
Section: Discussionmentioning
confidence: 99%
“…Simulating these operations out-of-sample should be considered a part of model validation. 15 ✓ Neidhardt et al 25 ✓ Fronczek et al 26 ✓ ✓ Hofmann et al 16 ✓ ✓ ✓ ✓ ✓ Zhang et al 19 ✓ ✓ ✓ Danner et al 9 ✓ ✓ ✓ Marinescu et al 27 ✓ ✓ Thangavel et al 28 ✓ ✓ Barai et al 17 ✓ ✓ ✓ Ren et al 18 ✓ ✓ Yoo et al 20 ✓ ✓ Zhang et al 10 ✓ ✓ Marinescu et al 21 ✓ ✓ Andrei et al 11 ✓ ✓ Hua et al 11 ✓ ✓ Danner & Latz 29 ✓ ✓ ✓ ✓ ✓ Xiong et al 23 ✓ Erisen et al 30 Emerce & Eroglu 31 Kamyab et al 32 ✓ ✓ ✓ Parke et al 33 ✓ ✓ Erisen & Eroglu 34 ✓ Parke et al 35 ✓ ✓ modifying an existing zero-dimensional model on the basis of the following analysis.…”
Section: Model Developmentmentioning
confidence: 99%
“…Within model validation, models which perform poorly under particular operational loads can be easily detected and the necessary modifications can be quickly proposed. Within model selection, the comparison of two [35] models is difficult when one model is published with discharge simulations only and the other with charge simulations only. As discussed in section 3 and illustrated in Table 2, this is not unusual.…”
Section: Constant Current Cyclingmentioning
confidence: 99%
“…These rate-dependent predictions are out-of-sample but no experimental data is provided to suggest these results align with a known Li-S cell. Park et al [35] improved upon their previous model by incorporating new parameterisations and electrochemical pathways but the distinction between in-sample and out-of-sample was not present. Further, only discharge was considered.…”
Section: Testing In the Literaturementioning
confidence: 99%