平纹机织复合材料纯电动汽车电池箱多尺度可靠性优化设计

Multi-scale reliability optimization design of plain woven composite blade electric vehicle battery box

为了充分发挥碳纤维复合材料的潜能,提出一种多尺度的复合材料结构可靠性优化设计方法。以平纹机织复合材料新能源汽车电池箱为研究对象,基于有限元法的均匀化理论预测方法,将机织复合材料各尺度之间的弹性参数进行关联,建立复合材料弹性性能预测解析模型和电池箱有限元模型。鉴于复合材料结构和设计变量受不确定性因素的影响,结合Kriging代理模型、SORA(stochastic optimal routing algorithm)法和蒙特卡洛仿真法,实现机织复合材料电池箱的多尺度可靠性优化设计。结果表明,优化后的电池箱在满足可靠性和轻量化要求的同时,能有效提高电池箱的模态频率和刚度,可为机织复合材料汽车零部件的优化设计提供指导。

In order to give full play to the material potential of carbon fiber composites,a multi-scale composite structure reliability optimization design method was proposed.The plain woven composite new energy vehicle battery box was taken as the research object.The homogenization theory prediction method based on the finite element method was used to correlate the elastic parameters among the scales of woven composites and establish an analytical model for predicting the elastic properties of composites and a finite element model for the battery box.Given that the composite structure and design variables were influenced by uncertainty factors,the multi-scale reliability optimization design of the woven composite battery box was realized by combining Kriging agent model,stochastic optimal routing algorithm(SORA)algorithm and Monte Carlo simulation method.The results show that the optimized battery box can effectively improve the modal frequency and stiffness of the battery box while meeting the reliability and lightweight requirements,which can provide guidance for the optimal design of woven composite automotive parts.