【摘要】 为提升混合动力汽车减振降噪效果，基于多种工况下混动变速器行星轮的动态特性，对行星齿轮微观几何优化设计进行了研究。采用遗传算法和多项式响应面优化模型，对行星轮进行以传动误差波动、接触齿面载荷系数、齿轮接触应力为目标的微观参数优化，获得了550组优化参数。通过有序加权评分(C-OWA)和逼近理想解排序法(TOPSIS)获得帕累托最优解。接着对各个工况下的变速器齿轮进行动态分析和声学分析，得到修形后的齿轮优化结果。结果表明，修形后的行星轮载荷系数、传动误差和最大接触应力等系数得到了优化，振动和噪声得到显著降低，可为改善混动汽车变速器振动和噪声提供理论依据和参考。更多还原

【Abstract】 To enhance the vibration and noise reduction effects in hybrid electric vehicles, we conducted research on the micro-geometric optimization design of planetary gears, based on their dynamic characteristics under various operating conditions. We employed the non-dominated genetic algorithm and a polynomial response surface model to optimize the micro-parameters of the planetary gears, resulting in 550 sets of optimal parameters. The Pareto optimal solution was determined using the ordered weighted averaging(C-OWA) method and the technique for order preference by similarity to ideal solution(TOPSIS). Subsequently, dynamic and acoustic analyses were performed on the transmission gears under different operating conditions, yielding optimized results for the modified gears. The findings indicate that the load factor, transmission error, and maximum stress of the modified planetary gears have been optimized, leading to a significant reduction in vibration and noise.更多还原