In recent years, acausal modeling languages such as Modelica and VHDL-AMS have been used for model-based development. In this research, a cycle simulation model using an acausal modeling language for predicting the emissions of an internal combustion engine was developed for application to a vehicle simulation model for energy and emissions analysis. In order to develop simulation models with higher versatility and extensibility using an acausal modeling language, it is necessary to design the structure and hierarchy by understanding its rules and constraints. Hence, the modeling method of the engine cycle simulation using the acausal modeling language Modelica for emissions prediction was discussed. Furthermore, nitrogen oxide emissions were calculated using the developed model, and their accuracy was validated by comparison with experimental data on a spark ignition engine.

近年来，非理性建模语言（例如Modelica和VHDL-AMS）已用于基于模型的开发。在这项研究中，开发了一种使用无因建模语言预测内燃机排放的循环仿真模型，并将其应用到用于能量和排放分析的车辆仿真模型中。为了使用非因果建模语言开发具有更高通用性和可扩展性的仿真模型，有必要通过了解其规则和约束来设计结构和层次结构。因此，讨论了使用非因果建模语言Modelica进行排放预测的发动机循环仿真的建模方法。此外，使用开发的模型计算了氮氧化物的排放量，