TY - JOUR
T1 - Safety performance and failure prediction model of cylindrical lithium-ion battery
AU - Wang, Wenwei
AU - Li, Yiding
AU - Cheng, Lin
AU - Zuo, Fenghao
AU - Yang, Sheng
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - In this paper, the safety performance model of cylindrical lithium-ion batteries, which is based on a second-order oscillation feature that is subjected to mechanical abuse is proposed via a discrete Fourier transformation of experimental data. Combined with the safety performance model and Crushable-Foam material model, the simulation results show that the average predictive error of the force-displacement and failure displacement is less than 8.8% and 4.0%, respectively. A battery fracture angle model is proposed, the fracture angle is only related to the load property, and the state-of-charge has minimal influence under the same load conditions. Furthermore, the failure prediction model of the soft short-circuit and the failure warning verification system are proposed. The experimental results show that the failure prediction model can warn the soft short-circuit in time with a certain safety margin. With further research, the safety performance model and the failure prediction model, which is based on mechanical penetration displacement, can be combined with other failure signals to provide more reliable information about battery safety. The failure warning device has the advantages of low cost and simple structure.
AB - In this paper, the safety performance model of cylindrical lithium-ion batteries, which is based on a second-order oscillation feature that is subjected to mechanical abuse is proposed via a discrete Fourier transformation of experimental data. Combined with the safety performance model and Crushable-Foam material model, the simulation results show that the average predictive error of the force-displacement and failure displacement is less than 8.8% and 4.0%, respectively. A battery fracture angle model is proposed, the fracture angle is only related to the load property, and the state-of-charge has minimal influence under the same load conditions. Furthermore, the failure prediction model of the soft short-circuit and the failure warning verification system are proposed. The experimental results show that the failure prediction model can warn the soft short-circuit in time with a certain safety margin. With further research, the safety performance model and the failure prediction model, which is based on mechanical penetration displacement, can be combined with other failure signals to provide more reliable information about battery safety. The failure warning device has the advantages of low cost and simple structure.
KW - Cylindrical lithium-ion battery
KW - Failure prediction model
KW - Failure warning verification system
KW - Safety performance model
KW - Second-order oscillation feature
UR - http://www.scopus.com/inward/record.url?scp=85077973645&partnerID=8YFLogxK
U2 - 10.1016/j.jpowsour.2020.227755
DO - 10.1016/j.jpowsour.2020.227755
M3 - Article
AN - SCOPUS:85077973645
SN - 0378-7753
VL - 451
JO - Journal of Power Sources
JF - Journal of Power Sources
M1 - 227755
ER -