汽车防撞梁系统多学科多目标优化  

Multidisciplinary Multi-objective Optimization of Automotive Crash Beam System

作　　者：李国富 马财俊 金红光 LI Guofu;MA Caijun;JIN Hongguang

机构地区：[1]宁德时代(上海)智能科技有限公司,上海202303

出　　处：《上海汽车》2025年第4期39-43,共5页Shanghai Auto

摘　　要：为提升防撞梁系统碰撞安全性以及开发效率,将其与整车模型进行解耦研究。设计变量包括各钣金材料、料厚选型以及诱导筋位置、深度等。基于ExpertAI神经网络算法对样本变形模式进行分类筛选以提升响应面法拟合精度,通过多目标优化方法对防撞梁系统高速碰撞性能(FRB/SORB/MPDB)进行全局性能均衡设计。结果表明,优化后FRB工况吸能盒截面力峰值满足目标,吸能水平大幅提升,上下吸能盒碰撞力效率分别由72.3%和61.5%提升至82.4%和81.9%,SORB/MPDB工况性能均达标,所提出的防撞梁系统多学科多目标优化方法可有效应用于工程开发。To enhance the collision safety and development efficiency of the crash beam system,a decoupling study with the vehicle model is conducted.The design variables include various sheet metal materials,thickness selection,as well as the position and depth of the induced ribs.Based on the ExpertAI neural network algorithm,the deformation patterns of samples are classified and screened to improve the fitting accuracy of the response surface method.A multi-objective optimization approach is employed for the global performance balancing design of the crash beam system's high-speed collision performance(FRB/SORB/MPDB).The results indicate that the peak force of the crash box under the FRB condition meets the target after optimization,with a significant increase in energy absorption levels.The collision force efficiency of the upper and lower crash boxes is improved from 72.3%and 61.5%to 82.4%and 81.9%respectively,and the performance of SORB/MPDB conditions meets the standards.The proposed multi-disciplinary multi-objective optimization method for the crash beam system can be effectively applied in engineering development.

关 键 词：防撞梁 吸能盒 参数化 多目标 优化设计 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]