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作 者:卢永胜 崔红明 王邵博 Lu Yongsheng;Cui Hongming;Wang Shaobo(Research Institute of CHINA STATE SHIPBUILDING CORPORATION LIMITED,Zhengzhou 450015,China)
机构地区:[1]中国船舶集团有限公司第七一三研究所,河南郑州450015
出 处:《汽车知识》2023年第11期57-59,共3页Auto Know
摘 要:针对某电动汽车前舱吸能不足、前纵梁抗弯性能薄弱等问题,该文建立了碰撞有限元模型,对前舱进行了碰撞安全性分析。通过采用优化的拉丁方试验设计方法对关键部件的厚度进行试验设计,通过误差分析选择精度最高的代理模型,并利用非支配排序遗传算法NSGA-Ⅱ进行迭代优化,得到最优Pareto解集,并从中选取合适的优化方案。优化前后的仿真结果对比分析结果表明,通过优化提高了整车碰撞安全性能,整车耐撞性能满足C-NCAP要求,同时也在一定程度上实现了减重。In response to issues such as insufficient energy absorption in the front cabin of an electric vehicle and weak bending resistance of the front longitudinal beam,this paper establishes a collision finite element model and conducts a collision safety analysis on the front cabin.By using the optimized Latin square experimental design method to design the thickness of key components,the proxy model with the highest accuracy is selected through error analysis,and the non dominated sorting genetic algorithm NSGA-II is used for iterative optimization to obtain the optimal pareto solution set,and appropriate optimization schemes are selected from it.The comparative analysis of simulation results before and after optimization shows that the optimization has improved the collision safety performance of the entire vehicle,met the requirements of C-NCAP for crashworthiness,and also achieved weight reduction to a certain extent.
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