Li-ion Battery Fault Detection in Large Packs Using Force and Gas Sensors

被引:22
作者
Cai, Ting [1 ]
Mohtat, Peyman [1 ]
Stefanopoulou, Anna G. [1 ]
Siegel, Jason B. [1 ]
机构
[1] Univ Michigan, Ann Arbor, MI 48105 USA
基金
美国国家科学基金会;
关键词
Lithium-ion Batteries; Estimation and Fault Detection; Thermal Dynamics; THERMAL RUNAWAY; STATE; MODEL; FAILURE;
D O I
10.1016/j.ifacol.2020.12.1763
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Internal short circuits are a leading cause of battery thermal runaway, and hence a major safety issue for electric vehicles. An internal short circuit with low resistance is called a hard internal short, which causes a high internal current flow that leads to an extremely fast temperature rise, gas generation, cell swelling, and ultimately battery rupture and failure. Thus it is crucial to detect these faults immediately after they get triggered. In large battery packs with many cells in parallel, detecting an internal short circuit event using voltage is difficult due to suppression of the voltage signal from the faulty cell by the other healthy cells connected in parallel. In contrast, analyzing the gas composition in the pack enclosure can provide a robust single cell failure detection method. At elevated temperature, decomposition of the battery materials results in gas generation and cell swelling. The cell structure is designed to rupture at a critical gas pressure and vent the accumulated CO2 gas, in order to prevent explosive forces. In this paper, we extend our previous work by combining the models of cell thermal dynamics, swelling, and CO2 gas generation. In particular, we developed a fast and high confidence level detection method of hard internal short circuit events for a battery pack by measuring cell expansion force and monitoring CO2 concentrations in a pack enclosure. Copyright (C) 2020 The Authors.
引用
收藏
页码:12491 / 12496
页数:6
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