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Review of engine control-oriented combustion models
International Journal of Engine Research ( IF 2.5 ) Pub Date : 2021-02-15 , DOI: 10.1177/1468087421992955
Jian Tang 1 , Guoming G Zhu 1 , Yifan Men 1
Affiliation  

As requirements for continuously improving internal combustion engine fuel economy with satisfactory emissions, model-based control strategies are often used to optimize the combustion process. To apply advanced control techniques for closed-loop engine combustion control, control-oriented engine combustion models are necessary and they are physics-based, accurate enough for model-based control, computationally low cost, and capable of real-time simulations. In addition, control-oriented combustion model with adequate fidelity may need to adapt to physical system and environment changes over time to maintain model-based control performance, such as model-reference (guided) control, where the control-oriented combustion model runs in real-time to generate an error signal between physical system and reference-model output for feedback control. This paper provides a review of existing control-oriented engine combustion models, along with their associated applications. Three main groups of control-oriented combustion models are reviewed from simple to sophisticated physics-based dynamic models, including mean-value, Wiebe function-based, and reaction-based models. The fundamental principle of each model group is reviewed briefly and its applications are also addressed. At the macro level, a control-oriented engine model can be used for crank angle-based and/or cycle-based control. As the engine control hardware performance continuous improving with reduced cost, model-reference (guided) combustion control shall become reality since now it is feasible to run a physics-based control-oriented engine combustion model inside an engine control module. On the other hand, each model group, even for the simple mean-value model, has its own applicable scenarios.



中文翻译:

审查面向发动机控制的燃烧模型

作为持续改善内燃机燃油经济性并满足令人满意的排放的要求,基于模型的控制策略通常用于优化燃烧过程。为了将先进的控制技术应用于闭环发动机燃烧控制,面向控制的发动机燃烧模型是必需的,并且它们是基于物理学的,对于基于模型的控制来说足够准确,计算量低,并且能够进行实时仿真。此外,具有足够保真度的面向控制的燃烧模型可能需要适应随时间变化的物理系统和环境变化,以维持基于模型的控制性能,例如模型参考(引导)控制,其中基于控制的燃烧模型在其中运行实时在物理系统和参考模型输出之间生成错误信号,以进行反馈控制。本文概述了现有的面向控制的发动机燃烧模型及其相关应用。从简单到复杂的基于物理的动态模型对基于控制的燃烧模型的三大类进行了回顾,包括均值模型,基于Wiebe函数的模型和基于反应的模型。简要回顾了每个模型组的基本原理,并讨论了其应用。在宏观层面上,面向控制的发动机模型可用于基于曲柄角和/或基于周期的控制。随着发动机控制硬件性能的不断提高和成本的降低,模型参考(引导)燃烧控制将成为现实,因为现在可以在发动机控制模块中运行基于物理的,面向控制的发动机燃烧模型。另一方面,每个模型组

更新日期:2021-02-16
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