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针对某型高速叉车底盘与车身匹配分析的虚拟样机,为确保其仿真分析的置信度,依托整车平顺性测试结果,采用最优化技术辨识车身转动惯量并用于虚拟样机的修正。具体地,一方面,由整车平顺性测试结果中获得其前、后悬架系统悬挂质量部分的固有频率,即偏频。另一方面,将车身转动惯量视为参数化变量,建立参数化的车身振动分析之理论模型。进而,基于理论模型计算而再次得到前、后悬架系统偏频,并优化车身转动惯量的参数化取值,最终使悬架偏频的理论计算结果与相应的测试结果趋于吻合,此时的车身转动惯量取值即为最终的辨识结果,由此大大提高了这一建模所需关键性基础数据的精确性。而相关的整车动态测试结果则验证了所提方法的有效性。
In order to ensure the confidence of simulation analysis, aiming at the matching analysis of the chassis and body of a high-speed forklift truck, the optimization technique is applied to identify the inertia of the vehicle and is used to correct the virtual prototype. Specifically, on the one hand, the natural frequency of the suspension mass portion of the front and rear suspension systems is obtained from the ride comfort test result of the vehicle, that is, the offset frequency. On the other hand, the body inertia is regarded as a parametric variable, and a parametric theoretical model of body vibration analysis is established. Furthermore, based on the theoretical model calculation, the bias of the front and rear suspension systems is obtained again, and the parametric values of the body inertia are optimized. Finally, the theoretical results of the suspension bias are in agreement with the corresponding test results The value of body moment of inertia is the final identification result, which greatly improves the accuracy of the key basic data needed for this modeling. The relevant vehicle dynamic test results verify the effectiveness of the proposed method.