Parameter Identification and Sensitivity Analysis for Zero-Dimensional Physics-Based Lithium-Sulfur Battery Models
Parameter Identification and Sensitivity Analysis for Zero-Dimensional Physics-Based Lithium-Sulfur Battery Models
复制标题
基于零维物理的锂硫电池模型的参数识别和灵敏度分析
作者：
Chu Xu;Timothy Cleary;Guoxing Li;Donghai Wang;H. Fathy
本文研究了从实验循环数据中估计锂硫电池参数的问题。与传统的锂离子电池相比，LiS电池具有吸引力，这主要归功于它们提供更高能量密度的潜力。文献提出了许多不同的LiS电池模型，具有不同的结晶度和复杂性。这包括更高保真的扩散反应模型以及忽略扩散动力学而捕获潜在的还原-氧化反应的物理的“零维”模型。本文重点介绍了零维LiS电池模型，并从文献中开发了四个这样的模型，反映了不同的选择，其中氧化还原反应模型。越来越需要使用实验循环数据集来参数化这些模型并比较它们的相似性。为了满足这一需求，我们制造了LiS纽扣电池，并对这些电池进行了充电/放电循环测试。同时，我们分析了模拟LiS电池充电/放电特性对基础模型参数的敏感性。使用这种敏感性分析，我们选择了一个子集的模型参数进行识别，并估计这些参数的所有四个锂电池模型的循环数据，从而达到一个一致的实验比较和评估这些模型的各自的可靠性。
This paper examines the problem of estimating the parameters of a Lithium-Sulfur (LiS) battery from experimental cycling data. LiS batteries are attractive compared to traditional Lithium-Ion batteries, thanks largely to their potential to provide higher energy densities. The literature presents a number of different LiS battery models, with different fidelities and complexities. This includes both higher-fidelity diffusion-reaction models as well as "zero-dimensional" models that neglect diffusion dynamics while capturing the physics of the underlying reduction-oxidation reactions. The paper focuses on zero-dimensional LiS battery models, and develops four such models from the literature, reflecting different choices of which redox reactions to model. There is a growing need for using experimental cycling datasets to both parameterize these models and compare their fidelities. To address this need, we fabricated LiS coin cells and performed charge/discharge cycling tests on these cells. In parallel, we analyzed the sensitivity of simulated LiS battery charge/discharge characteristics to underlying model parameters. Using this sensitivity analysis, we selected a subset of model parameters for identification, and estimated these parameters for all four LiS battery models from cycling data, thereby arriving at a consistent experimental comparison and assessment of these models' respective fidelities.
DOI：
10.1039/c5cp05755h
发表时间：
2016-01
期刊：
Physical chemistry chemical physics : PCCP
影响因子：
--
作者：
M. Marinescu;Teng Zhang;G. Offer
通讯作者：
M. Marinescu;Teng Zhang;G. Offer
影响因子：
9.2
作者：
K. Propp;M. Marinescu;D. Auger;L. O'Neill;A. Fotouhi;Karthik Somasundaram;G. Offer;G. Minton;S. Longo;Mark Wild;V. Knap
通讯作者：
K. Propp;M. Marinescu;D. Auger;L. O'Neill;A. Fotouhi;Karthik Somasundaram;G. Offer;G. Minton;S. Longo;Mark Wild;V. Knap
影响因子：
9.4
作者：
I. Hunt;Yatish Patel;M. Szczygielski;Lukasz Kabacik;G. Offer
通讯作者：
I. Hunt;Yatish Patel;M. Szczygielski;Lukasz Kabacik;G. Offer