Friction stir welding technology is of great significance in improving vehicle crash safety. However, when optimizing the friction welding process parameters for vehicle crash safety, the calculation of explicit dynamics model usually consumes a lot of time and resources. In order to improve the efficiency of process parameter optimization, this paper proposes a vehicle collision time series prediction method based on friction stir welding process parameter analysis. In this paper, the mapping relationship between the welding process parameters and the welding strength is summarized, and based on the data of an SUV body, the finite element method is used to construct the vehicle collision explicit dynamics model. The time series prediction surrogate model is trained by the explicit dynamics calculation results, and the collision safety optimization analysis of friction welding vehicle is carried out. The results show that the proposed method shows high reliability in terms of prediction accuracy, saves 50% of the calculation time compared with the traditional explicit dynamics method, and significantly improves the efficiency of process parameter optimization. The friction welding process parameters are optimized based on the proposed algorithm, which further improves the collision safety of the vehicle and provides an effective reference for the vehicle design and parameter optimization.