4.5 Article

Toward high-accuracy and high-efficiency battery electrothermal modeling: A general approach to tackling modeling errors

期刊

ETRANSPORTATION
卷 14, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.etran.2022.100195

关键词

Energy storage system; Lithium-ion battery; Electrothermal model; Error source

资金

  1. National Natural Science Foundation of China [51875054, U1864212]
  2. Graduate Research and Innovation Foundation of Chongqing [CYB21009]

向作者/读者索取更多资源

In this article, a practical and general framework is proposed to investigate the potential error sources in computationally efficient electrothermal modeling of large-format lithium-ion batteries. The results demonstrate that modeling the thermal interplay between two tabs and the cell body and optimizing the temperature sensor placements should be given high priority. Additionally, the overpotential-based method is preferred for calculating the local generation rates of the battery body for accuracy and generalizability.
An accurate control-oriented electrothermal model is a prerequisite for efficient thermal management of battery-powered applications. Despite the great efforts made to pursue high-accuracy modeling of the heat generation and transfer processes inside lithium-ion batteries for control purposes, little work has shed light on the error sources in such electmthermal modeling for obtaining an optimal model. In this article, we propose a practical and general framework for investigating the potential error sources in computationally efficient electrothermal modeling of large-format lithium-ion batteries. The results demonstrate that the high-accuracy modeling of the thermal interplay between two tabs and the cell body and the optimization of the temperature sensor placements should be given high priority. Further, the overpotential-based method is preferred to calculate the local generation rates of the battery body for accuracy and generalizability. This study provides important insights into accurate and computationally efficient electrothermal modeling for large-format energy storage batteries.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据