首页|Effect of preload forces on multidimensional signal dynamic behaviours for battery early safety warning

Effect of preload forces on multidimensional signal dynamic behaviours for battery early safety warning

扫码查看
Providing early safety warning for batteries in real-world applications is challenging.In this study,com-prehensive thermal abuse experiments are conducted to clarify the multidimensional signal evolution of battery failure under various preload forces.The time-sequence relationship among expansion force,voltage,and temperature during thermal abuse under five categorised stages is revealed.Three charac-teristic peaks are identified for the expansion force,which correspond to venting,internal short-circuiting,and thermal runaway.In particular,an abnormal expansion force signal can be detected at temperatures as low as 42.4 ℃,followed by battery thermal runaway in approximately 6.5 min.Moreover,reducing the preload force can improve the effectiveness of the early-warning method via the expansion force.Specifically,reducing the preload force from 6000 to 1000 N prolongs the warning time(i.e.,227 to 398 s)before thermal runaway is triggered.Based on the results,a notable expansion force early-warning method is proposed that can successfully enable early safety warning approximately 375 s ahead of battery thermal runaway and effectively prevent failure propagation with module valida-tion.This study provides a practical reference for the development of timely and accurate early-warning strategies as well as guidance for the design of safer battery systems.

Lithium-ion batteryThermal runawayPreload forceExpansion forceEarly warningMultidimensional signal

Kuijie Li、Jiahua Li、Xinlei Gao、Yao Lu、Depeng Wang、Weixin Zhang、Weixiong Wu、Xuebing Han、Yuan-cheng Cao、Languang Lu、Jinyu Wen、Shijie Cheng、Minggao Ouyang

展开 >

School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China

State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China

Energy and Electricity Research Center,Jinan University,Zhuhai 519070,Guangdong,China

Department of Mechanical Engineering,Imperial College London,London.SW7:2AZ.UK

展开 >

National Key R&D Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China

2022YFB24043005217721752106244

2024

能源化学
中国科学院大连化学物理研究所 中国科学院成都有机化学研究所

能源化学

CSTPCDEI
影响因子:0.654
ISSN:2095-4956
年,卷(期):2024.92(5)