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.

在本文中，提出了一种横截面贡献分析（CSCA）方法来优化桁架框架的尺寸。建立初始桁架框架的有限元模型，分析静动刚度和满载强度。随后通过实验验证了模型的可靠性。通过对拓扑概念模型的二次设计得到改进的线框模型，分析了各管对性能的贡献率（CR）。定义了“模块化线”以根据横截面 CR (CSCR) 对框架管进行模块化。研究了具有不同管布局方案的模块化框架 (MF) 的性能和轻量化。模块化尺寸优化结果表明，优化后的小型电动车（EV）桁架框架减轻了重量，显着提高了性能。此外，该方法在连续变量优化（管径非标准）方面可以有较好的效果，可供行业参考。在离散变量优化（具有制造可行性的标准管尺寸）中，该方法可以大大缩短开发周期并导致快速生产。