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A New Co-Simulation Approach for Tolerance Analysis on Vehicle Propulsion Subsystem

机译:一种新的车辆推进子系统公差分析的新共模仿真方法

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An increasing demand for reducing cost and time effort of the design process via improved CAE (Computer-Aided Engineer) tools and methods has characterized the automotive industry over the past two decades. One of the main challenges involves the effective simulation of a vehicle’s propulsion system dealing with different physical domains: several examples have been proposed in the literature mainly based on co-simulation approach which involves a specific tool for each propulsion system part modeling. Nevertheless, these solutions are not fully suitable and effective to perform statistical analysis including all physical parameters. In this respect, this paper presents the definition and implementation of a new simulation methodology applied to a propulsion subsystem. The reported approach is based on the usage of Synopsis SABER as dominant tool for co-simulation: models of electronic circuitry, electro-mechanical components and control algorithm are implemented in SABER to perform tolerance analysis; in addition, a dynamic link with engine plant model developed in GT-SUITE environment has been established via a dedicated procedure. Moreover, a HPC Grid (High Performance Computing Grid) is used with the aim to execute simulations of long engine maneuvers as well as to parallelize jobs while applying Monte-Carlo methods. The overall approach is tested on the active thermal management subsystem of a General Motors internal combustion engine in order to evaluate the robustness of control algorithm against electro-mechanical part variation and software calibration settings.
机译:通过改进的CAE(计算机辅助工程师)工具和方法来降低设计过程的成本和时间努力的越来越大的需求已经表现了过去二十年的汽车行业。其中一个主要挑战涉及用于处理不同物理领域的车辆推进系统的有效模拟:在文献中提出了几个例子,主要基于共模拟方法,该方法涉及每个推进系统部件建模的特定工具。然而,这些解决方案不完全合适,有效地执行包括所有物理参数的统计分析。在这方面,本文介绍了应用于推进子系统的新模拟方法的定义和实施。报告的方法是基于Sypopsis Saber的用法作为共模的主要工具:电子电路模型,机电组件和控制算法在SABER中实现,以进行公差分析;此外,还通过专用程序建立了GT-Suite环境中开发的发动机设备模型的动态链路。此外,HPC网格(高性能计算网格)用于执行长发动机机动的模拟,以及在应用Monte-Carlo方法的同时并行化作业。在通用电机内燃机的主动热管理子系统上测试了整体方法,以评估控制算法对机电部分变化和软件校准设置的鲁棒性。

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