期刊
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
卷 168, 期 3, 页码 -出版社
ELECTROCHEMICAL SOC INC
DOI: 10.1149/1945-7111/abebf5
关键词
Lithium-ion battery; Internal short circuit; Energy density; Optimization; Separator failure; Crush load
资金
- National Research Foundation of Korea (NRF) - Korea government (MSIT) [2019R1A2C1090228]
- Technology Innovation Program - Ministry of Trade, Industry & Energy(MOTIE, Korea) [20004627]
- National Research Foundation of Korea [2019R1A2C1090228] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
This study introduces a framework for optimizing the energy density of lithium-ion batteries (LIBs) for electric vehicles while preventing separator failure, evaluating separator failure and performance using representative sandwich mechanical model and electrochemical model. The optimal solution was obtained using a metamodel and global optimization algorithm, improving energy density by 9.57% and ensuring the safety of the LIB pouch cell under crush load.
Lithium-ion batteries (LIBs) for electric vehicles are exposed to large deformations and damage caused by vehicle accidents. Therefore, there exists an internal short circuit (ISC) risk owing to separator failure. This paper proposes a framework for optimizing the energy density while preventing the separator failure of a LIB pouch cell. In this study, the separator failure of the pouch cell was evaluated according to the SAE J2464 crush test standard using a representative sandwich (RS) mechanical model. The energy density and power density performance were evaluated by constant current discharge using an electrochemical model. The constraints of the optimization process were the separator strain evaluated by the crush test and the power density of the initial design. The optimal solution was obtained using a metamodel and global optimization algorithm. The optimization improved the energy density by 9.57% and ensured the safety of the LIB pouch cell separator under a crush load.
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。
推荐
暂无数据