A Review of Lithium-Ion Battery State of Health Estimation and Prediction Methods

Lithium-ion power batteries have been widely used in transportation due to their advantages of long life, high specific power, and energy. However, the safety problems caused by inaccurate estimation prediction battery health state attracted wide attention academic circles. In this paper, degradation mechanism main definitions (SOH) were described summarizing domestic foreign literatures. The methods lithium-ion SOH discussed from three aspects: model-based methods, data-driven fusion technology methods. This review summarizes disadvantages current mainstream paper believes that more innovative feature parameter extraction multi-algorithm coupling, combined with cloud platform other technologies will be development trend future, which provides a reference for battery.