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 and Optimization of Lightweight 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’)车架存在结构强度冗余的问题,提出了基于几何优化分析的电轻摩车架的轻量化方法。在建立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,确定车架的优化设计变量,基于厚度尺寸寻优策略,寻求了最优截面尺寸。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,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 problem of structural strength redundancy in the frame of an electric moped (hereinafter referred to as “electric moped”), a lightweight method based on geometric optimization analysis was proposed. On the basis of establishing the finite element model of the electric moped frame, the optimization model is established. The optimal design variables of the frame are determined by the geometric optimization analysis method, and the optimal section size is sought based on the thickness optimization strategy. The maximum static strength Von Mises stress of the optimized frame is within the range of the restricted allowable stress. After optimization, the weight of the electric moped body is reduced by 23% compared with that before optimization, achieving the lightest weight of the body, and meeting the needs of the speed, power and endurance of the electric moped while achieving the goal of “double carbon”.

     

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