%A Jin Tao, Hao Gang %T Lithium-ion Battery Performance Degradation Recognition Method based on SOC Estimation %0 Journal Article %D 2020 %J Int J Performability Eng %R 10.23940/ijpe.20.02.p13.307313 %P 307-313 %V 16 %N 2 %U {https://www.ijpe-online.com/CN/abstract/article_4359.shtml} %8 2020-02-25 %X

The development of ship electric propulsion technology poses new challenges for ship energy storage, ship intelligence and electrification. The green new energy application represented by lithium batteries will drive the technological innovation of green ships and smart ships. Lithium-ion batteries have a residual capacity attenuation during cyclic charging and discharging, and the identification of performance degradation has important implications for the operation and maintenance of lithium-ion batteries. In this paper, the SOC estimation value of real-time data collected by the lithium-ion battery cycle charging and discharging is adopted. After denoising by the outlier algorithm, the FCM algorithm is used to establish the performance degradation model. Finally, the change of the membership function value of the normal cluster center is used as the lithium ion battery. Performance degradation assessment results, showing that the method can effectively and intuitively evaluate the performance degradation of lithium-ion batteries.