考虑多尺度参数不确定性的CFRP电池箱体优化设计OA
Design Optimization of CFRP Battery Packs Considering Multi-Scale Parameter Uncertainty
为充分发挥碳纤维复合材料(CFRP)的性能,使用切比雪夫(Chebyshev)混沌映射试验设计方案的响应面代理模型对CFRP电池箱体进行多尺度可靠性优化.提出一种权衡效率和成本的DIGIMAT多尺度建模结合试验对标方法,通过等刚度方法设计初始CFRP电池箱体,结合多项式代理模型、蒙特卡罗可靠性分析和Chebyshev混沌映射下的性能测量方法,实现CFRP电池箱体的多尺度可靠性优化设计.结果表明,优化后的CFRP电池箱体性能得到提升,相较于钢制电池箱体减重达到44.72%.
To fully leverage the performance of carbon fiber reinforced plastic(CFRP),this study employs a response surface surrogate model based on a Chebyshev chaotic mapping design of experiments(DoE)scheme to optimize the multi-scale reliability of the CFRP battery box.A DIGIMAT multi-scale modeling approach,combined with experimental benchmarking,is proposed to balance efficiency and cost.The initial CFRP battery box was designed using the equal-stiffness method.Furthermore,the multi-scale reliability optimization of the CFRP battery box was accomplished by integrating a polynomial surrogate model,Monte Carlo reliability analysis,and performance evaluation under Chebyshev chaos mapping.The results indicate that the performance of the optimized CFRP battery box is improved,achieving a weight reduction of 44.72%compared to its steel counterpart.
苏海亮;安登;马莲花;位腾腾;韦振校
广西科技大学 机械与汽车工程学院,广西,柳州 545006广西科技大学 机械与汽车工程学院,广西,柳州 545006广西科技大学 机械与汽车工程学院,广西,柳州 545006广西科技大学 机械与汽车工程学院,广西,柳州 545006广西科技大学 机械与汽车工程学院,广西,柳州 545006
通用工业技术
碳纤维复合材料多尺度性能预测电池包箱体切比雪夫映射可靠性优化
carbon fiber reinforced plasticmulti-scale performance predictionbattery-pack enclosureChebyshev mappingreliability optimization
《汽车工程学报》 2026 (2)
261-268,8
广西科技重大专项(桂科AA24206045)广西科技大学博士基金项目(20Z40)
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