Simulation calibration of modern engines to test bench measurements, mainly matching the indicated pressure curves in the combustion chamber, is a time consuming task that requires high user experience to manage a multitude of adjustment parameters. In the scope of this work an automated process for calibrating simulations at motored engine operating points is presented. This is achieved using characteristic pressure deviation curves, based on 1D simulations of a simplified base model. They incorporate the dimensionless deviation of the cylinder pressure originating from one parameter. A set of these curves is scaled and superposed to recreate the original pressure deviation between simulation and measurement. The scaling factor is used to quantify each parameter’s suggested adjustment value. This work presents the workflow of creating the characteristic pressure deviation curves, matching the deviation between measurement and simulation and determining the adjustment values. Further, the methodology is tested for interference of different parameters. A series of applications, ranging from 1D and 3D CFD simulation test cases to real world applications in different engines, concludes this work.

现代发动机的模拟校准（主要匹配燃烧室中指示的压力曲线）以测试工作台测量值是一项耗时的工作，需要高用户体验来管理大量调整参数。在这项工作的范围内，提出了一种用于在电动发动机工作点校准模拟的自动化过程。这是基于简化的基础模型的一维模拟，使用特征压力偏差曲线来实现的。它们包含源自一个参数的气缸压力的无量纲偏差。一组这些曲线被缩放并叠加以重建模拟和测量之间的原始压力偏差。比例因子用于量化每个参数的建议调整值。这项工作介绍了创建特征压力偏差曲线，匹配测量和模拟之间的偏差以及确定调整值的工作流程。此外，测试了该方法是否存在不同参数的干扰。这项工作总结了一系列应用程序，从一维和3D CFD模拟测试用例到不同引擎中的实际应用程序，不一而足。