Abstract The aging state estimation of the power battery is very important for the battery management system (BMS). Regular estimation of the battery’ state of health (SOH) can improve the service life of electric vehicles. The reasons for the aging of lithium-ion battery are briefly introduced in this paper. What’s more, the estimation methods of battery aging state are summarized and described from both the model-based and data-driven aspects.