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Topology and modular size optimization of small electric vehicle frame based on cross-section contribution analysis

机译:基于截面贡献分析的小型电动汽车车架拓扑结构及模块化尺寸优化

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Abstract In this paper, a cross-section contribution analysis (CSCA) method is proposed to optimize the size of a truss frame. A finite element model of the initial truss frame was established to analyze the static-dynamic stiffness and the full load strength. The reliability of the model was then verified by experiments. An improved wireframe model was obtained from the secondary design of the topological conceptual model, and the contribution rate (CR) of each tube to the performance was analyzed. A “modular line” was defined to modularize the frame tubes based on the cross-section CR (CSCR). The performance and light weight of the modular frames (MFs) with different tube layout schemes were studied. The results of modular size optimization show that the optimized truss frame for small electric vehicles (EVs) reduces the weight and improves the performance significantly. In addition, this method can have better results in continuous variable optimization (with non-standard tube size) as a reference for industry. In discrete variable optimization (with standard tube size for manufacturing feasibility), the method could greatly shorten the development cycle and lead to production rapidly.
机译:摘要 提出一种截面贡献分析(CSCA)方法来优化桁架框架的尺寸。建立了初始桁架框架的有限元模型,分析了静动力刚度和全荷载强度。然后通过实验验证了模型的可靠性。通过拓扑概念模型的二次设计,得到了改进的线框模型,并分析了各管对性能的贡献率(CR)。定义了“模块化生产线”,以基于横截面 CR (CSCR) 对框架管进行模块化。研究了不同管布局方案的模块化框架(MFs)的性能和轻量化。模块化尺寸优化结果表明,针对小型电动汽车(EV)优化的桁架框架减轻了重量,并显著提高了性能。此外,该方法在连续变量优化(非标准管径)中可以有更好的结果,作为工业参考。在离散变量优化中(使用标准管尺寸进行制造可行性),该方法可以大大缩短开发周期并快速投入生产。

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