电动汽车动力总成悬置系统的多目标稳健优化设计

Multi-objective Robust Optimization Design of Powertrain Mount System for Electric Vehicle

针对某电动汽车动力总成悬置系统的稳健性优化问题,提出了一种电机悬置系统多目标稳健优化方法。基于有限元法获得了电机的d、q轴电感、永磁体磁链与电流的非线性关系,建立了考虑磁饱和及转子磁场谐波影响的永磁同步电机(PMSM)的转矩波动模型。将含有波动的转矩作为6自由度悬置系统模型的激励,得到系统的响应。基于Pareto优化原理,利用基因遗传算法对优化模型进行全局寻优,得到所有Pareto最优解,并通过拉丁超立方抽样方法找到Pareto最优解中动反力稳健性最优的结果。

To make robust optimization of the powertrain mount system for an electric vehicle, a multi-objective robust optimization method for motor mount system is proposed. A general torque ripple model of permanent magnet synchronous motor （PMSM） is established taking account of the effects of magnetic saturation and rotor flux harmonics, in which the d-q axis inductance and the flux linkage excited by PM and nonlinearity of current are obtained from the finite element solutions. The response of a 6-DOF mount system is obtained with the rippled torque as excitation. Genetic algorithm is leveraged to conduct global optimization and all the Pareto optimal solutions are found based on optimization theory and the solution with optimal robustness of dynamic reaction force is obtained by Latin hypercube sampling method.