汽车工程学报2026，Vol.16Issue(2)：261-268,8.DOI:10.3969/j.issn.2095‒1469.2026.02.09
考虑多尺度参数不确定性的CFRP电池箱体优化设计
Design Optimization of CFRP Battery Packs Considering Multi-Scale Parameter Uncertainty
摘要
Abstract
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.关键词
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Key words
carbon fiber reinforced plastic/multi-scale performance prediction/battery-pack enclosure/Chebyshev mapping/reliability optimization分类
通用工业技术引用本文复制引用
苏海亮,安登,马莲花,位腾腾,韦振校..考虑多尺度参数不确定性的CFRP电池箱体优化设计[J].汽车工程学报,2026,16(2):261-268,8.基金项目
广西科技重大专项(桂科AA24206045) （桂科AA24206045）
广西科技大学博士基金项目(20Z40) （20Z40）
