锂离子电池健康状态估计及寿命预测研究进展综述

With the increasing application of the Lithium-ion batteries (LIBs), the accurate estimation of state-of-health (SOH) and real-time prediction of the remaining life of an LIB are of great significance to the safe operation of the LIB system and the reduction of the maintenance cost. The complex physical and chemical reactions inside the LIB and the outside complex operating conditions make it a challenge to achieve accurate SOH estimation and life prediction. Consequently, we reviewed the research status of methods for the LIB SOH estimation and the remaining useful life (RUL) prediction in recent years. We analyzed the advantages and disadvantages of the LIB SOH estimation methods and suitable conditions based on the physical/mathematical model, the data driven, the fusion of model and data driven, and the fusion of multiple data driven methods. We analyzed and compared the LIB life prediction methods of three different data-driven types. Moerover, we pointed out the existing problems of the LIB SOH estimation and the life prediction,and put forward prospects in the future research directions. The conclusions can improve the theoretical system of the LIB SOH estimation and life prediction algorithm and have important significance for the practical application technology.