文章基本信息

标题：Global Sensitivity Analysis on the Torque Accuracy of the Powertrain in Electric Vehicles
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作者：Matthias Braband ; Michael Adams ; Andreas Wilhelmi 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：14067-14072
DOI：10.1016/j.ifacol.2020.12.939
语种：English
出版社：Elsevier
摘要：AbstractElectric drive systems are increasingly used in automobiles. However, the combination of comfort, dynamics and safety requirements places high demands on the torque accuracy. The complex interplay of battery, inverter and electrical machine causes a lot of system uncertainties based on parameter fluctuations and measurement errors that influence the system performance. In this paper these influences on the closed loop torque control are analyzed and quantified using a variance based sensitivity analysis. The method enables to connect the variance of the torque accuracy with the parameter uncertainties causing this variance. Moreover, it quantifies the influences of the parameters independent of the complexity of the analyzed system. In addition, two methods to ensure convergence of the estimated variance based sensitivity measures are proposed. The results of the analysis are presented for 19 static working points of an battery electric drive system.
关键词：KeywordsSensitivity analysiselectrical driveBEVelectromobilitycontrol systemsMonte Carlo simulation