首页    期刊浏览 2024年07月07日 星期日
登录注册

文章基本信息

  • 标题:Li-ion Battery Fault Detection in Large Packs Using Force and Gas Sensors
  • 本地全文:下载
  • 作者:Ting Cai ; Peyman Mohtat ; Anna G. Stefanopoulou
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:12491-12496
  • DOI:10.1016/j.ifacol.2020.12.1763
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractInternal 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 CO2gas, in order to prevent explosive forces. In this paper, we extend our previous work by combining the models of cell thermal dynamics, swelling, and CO2gas 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 CO2concentrations in a pack enclosure.
  • 关键词:KeywordsLithium-ion BatteriesEstimationFault DetectionThermal Dynamics
国家哲学社会科学文献中心版权所有