基于相对灵敏度的电动轻便摩托车车架轻量化仿真优化

Simulation Optimization for Lightweight Design of Electric Moped Frame based on Relative Sensitivity

  • 摘要: 针对某电动轻便摩托车(以下简称电轻摩)车架存在的结构强度冗余问题,提出了基于几何优化分析的电轻摩车架的轻量化方法。该文在电轻摩车架有限元模型的基础上,建立了其优化模型,通过几何优化分析方法,确定了车架的优化设计变量;然后基于厚度尺寸寻优策略,找到了最优的截面尺寸。优化后车架最大静强度Von Mises应力在所约束许用应力范围内。优化后电轻摩车身重量较优化前降低了23%,实现了车身重量最轻,轻量化方案在实现“双碳”目标的同时满足电动轻便摩托车的时速、动力、续航能力的使用需求。

     

    Abstract: Aiming at the structural strength redundancy of the frame of an electric moped (hereinafter referred to as electric moped), a lightweight method for the electric moped frame based on geometric optimization analysis is proposed. Based on the finite element model of the electric moped frame, this paper establishes its optimization model and determines the optimal design variables of the frame through geometric optimization analysis. Then, the optimal section size is obtained via the thickness dimension optimization strategy. The maximum static Von Mises stress of the optimized frame is within the constrained allowable stress range. The weight of the electric moped body is reduced by 23% after optimization, achieving the minimum body weight. The lightweight scheme not only contributes to the "dual carbon" goals, but also meets the performance requirements of the electric moped in terms of speed, power and cruising range.

     

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