Research on Multi-objective Intelligent Optimization of Vehicle Body Platform Performance

The purpose of this paper is to study the platform performance optimization method based on implicit parametric body. Firstly, the body structure path is optimized based on topology optimization; Secondly, an approximate substitution model is constructed through machine learning to optimize the modal and stiffness performance. The collision performance is simultaneously optimized using black box optimization with modal and stiffness as the constraint condition; By overlaying and verifying the optimization scheme of modal and stiffness and collision, the final vehicle platform modal and stiffness performance can be improved by 5%–20%, and the SOB collision intrusion rate can be increased by about 50% or more, forming a vehicle platform performance optimization method. This method can effectively balance the relationship between modal, stiffness, collision and weight, and provide reference for the subsequent development of platform performance.