A review on prognostics approaches for remaining useful life of lithium-ion battery

2017 International Conference on New Energy and Future Energy System

Su, C.^1 ; Chen, H.J.^1

School of Mechanical Engineering, Southeast University, Nanjing

211189, China^1

关键词: Industrial systems;    Maintenance decisions;    Model based approach;    Operation scheduling;    Performance degradation;    Remaining useful lives;    Spare parts management;    Three categories;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/93/1/012040/pdf
DOI  :  10.1088/1755-1315/93/1/012040

来源: IOP

【 摘 要 】

Lithium-ion (Li-ion) battery is a core component for various industrial systems, including satellite, spacecraft and electric vehicle, etc. The mechanism of performance degradation and remaining useful life (RUL) estimation correlate closely to the operating state and reliability of the aforementioned systems. Furthermore, RUL prediction of Li-ion battery is crucial for the operation scheduling, spare parts management and maintenance decision for such kinds of systems. In recent years, performance degradation prognostics and RUL estimation approaches have become a focus of the research concerning with Li-ion battery. This paper summarizes the approaches used in Li-ion battery RUL estimation. Three categories are classified accordingly, i.e. model-based approach, data-based approach and hybrid approach. The key issues and future trends for battery RUL estimation are also discussed.