To accurately identify the parameters of the low-voltage ride-through (LVRT) model of PV inverters to meet the requirements of safety and reliability of PV grid-connected systems, this paper proposes a multi-stage parameter identification method for that model based on the snow-ablation-optimizer (SAO) algorithm. First, based on the characteristics of output curves of a PV power generation system during LVRT, a mathematical model of PV LVRT control is established, and the transient fault process is analyzed to determine the key control parameters of the LVRT process. Next, a multi-stage identification strategy is proposed for the coupling and correlation between the inner-loop PI control parameters and LVRT. Finally, a PV inverter model is developed based on actual engineering parameters, and the SAO algorithm is used to identify the inner-loop control parameters and LVRT parameters. Simulation case studies demonstrate the effectiveness of the proposed identification method.