Recently, BMS (Battery Management System) Team published an academic paper entitled “Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives” in an international famous journal Energy Storage Materials. University of Shanghai for Science and Technology was the first unit to complete the paper. The first writer is associate professor Lai Xin, and correspondent writer is associate professor Zheng Yuejiu and academician Ouyang Minggao from Tsinghua University. Energy Storage Materials is a top journal in the area of new energy and materials science, the latest impact factor of which is 16.28.
Within battery systems, the internal short circuit (ISC) is considered to be a severe hazard, as it may result in catastrophic safety failures, such as thermal runaway. The ISC of LIBs is the common characteristic of TR and is caused by mechanical abuse, thermal abuse, and electric abuse. The detection and identification of ISC in its early and middle stages can prevent ISC from developing into TR, which is of great significance to improve the safety of batteries. The team provides a comprehensive review on the mechanism, modeling, and prediction of ISC in LIBs. First, ISC types and the inducing mechanism under various inducements are analyzed, and the evolution process of ISC is divided into three stages according to electrical and thermal characteristics. Second, eleven existing ISC substitute experimental methods are listed in detail, and three coupling models of electric-thermal-ISC models are introduced to simulate the characteristics of ISC. Third, existing ISC detection methods are reviewed in detail, divided into six categories. Moreover, they propose methods for ISC detection under four special conditions: ISC detection for the cells before grouping, ISC detection method during electric vehicle dormancy, ISC detection based on equilibrium electric quantity compensation to address negative impact of the equalization function of the battery management system on ISC detection, and effective fault tree diagnosis for the joint identification and early warning of multiple battery faults. Fourth, existing ISC prevention methods are reviewed. Finally, the key technologies of ISC are prospected, revealing that the development of big data and artificial intelligence technology will promote the accuracy and timeliness of ISC detection.
Focused on LIBs safety, BMS Team of the School of Mechanical Engineering conducted the research in prediction, diagnosis, and management of LIBs, and has made achievements in its research and application. More than 50 high-level papers have been published in SCI journals such as Applied Energy (IF=8.848), Journal of Power Sources (IF=8.247), Energy (IF=6.082), IEEE Transactions on Industrial Electronics (IF=7.515), Journal of Cleaner Production (IF=7.246), among which 30 papers enter in Area Ⅰ. It is shown in the latest ESI that 3 papers have been recently included, and the number of highly cited paper reaches 7. Based on some research findings, the team has applied for 80 patents, among which 30 have been authorized and 5 have been licensed. By working together with HUAWEI and State Grid, the team applied for many patents and won many authorized patents. The research achievements are shared by a lot of enterprises and research institutes known at home and abroad such as HUAWEI, CATL, State Grid, SISP, SK Group, and SVOLT.
Link to the paper: https://doi.org/10.1016/j.ensm.2020.11.026
A Brief Introduction of Dr. Lai Xin
Lai Xin, an associate professor of School of Mechanical Engineering, graduated from Tongji University with a PhD degree in 2013. In recent years, he has engaged in the research of the management and control of the whole life cycle of lithium batteries, and the electronic control technology of new energy vehicles. He presided over 2 National Natural Science Foundation projects, 1 Shanghai Natural Science Foundation project, and 5 horizontal projects. He participated in 4 national projects and 3 provincial and ministerial projects. He published nearly 30 SCI papers (6 were selected as ESI highly cited papers). As the first author, he published papers in Energy Storage Materials (IF=16.28), Journal of cleaner production, Electrochimica Acta, Journal of Energy Storage, Energy, International Journal of Energy Research, IEEE Transactions on Vehicular Technology and other journals are more than 20 SCI papers (more than 10 papers enter in Area Ⅰ; 4 papers were selected as ESI highly cited papers).
A Brief Introduction of Dr. Zheng Yuejiu
Dr. Zheng Yuejiu, an associate professor of School of Mechanical Engineering, USST, has studied on lithium ion battery pack system for vehicles since 2009 under the supervision of Prof. Minggao Ouyang, the academician. In 2014, he won the prize of the 19th “Rising star” in Tsinghua University. He is now working for the University of Shanghai for Science and Technology, and also the part-time associate researcher of the State Key Laboratory of Automotive Safety and Energy of Tsinghua University. He was invited to be the co-chairman of the Branch of the China-SAE 2017. He held over 10 scientific research projects, including 2 projects funded by the National Natural Science Foundation of China. More than 40 publications on battery group theory research have been published and have been cited for more than 1000 times. He applied for over 60 national invention patents, 3 international invention patents.
Source from School of Mechanical Engineering
