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PHYSICS BASED ENGINE FRICTION PREDICTION MODEL

机译：基于物理的发动机摩擦预测模型

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摘要

To design good fuel efficient engines it is necessary to minimize engine friction losses. Understanding the effect of different design parameters on engine friction is therefore critical. Many engine design parameters which affect the engine friction are fixed at the design architecture stage itself and it is difficult, often impossible to modify these parameters in later stages of engine development. Therefore, the objective of the present work is to develop a friction model which can be used in engine architecture phase and also predict engine friction accurately. In this paper, a physics-based engine friction model is developed using simplified friction equations with a coefficient of these equations obtained from non-linear regression analysis of test data. The technical approach of the friction model can be briefly summarized as follows. First, the key design parameters in each component/sub-component are studied and physics-based equations as a function of design parameters are derived for each sub-component. The multiple regression technique is then used to determine the coefficients in each engine component friction equation to fit the test data with minimum errors. The developed friction model was used to predict friction for different engines and the predicted values correlate well with test data.
机译：设计良好的燃油效率发动机，有必要最大限度地减少发动机摩擦损失。因此，了解不同设计参数对发动机摩擦的影响是至关重要的。影响发动机摩擦的许多发动机设计参数在设计架构阶段本身固定，并且难以在发动机开发的后期修改这些参数。因此，本作作品的目的是开发一种可用于发动机架构阶段的摩擦模型，并且还准确地预测发动机摩擦。本文使用具有从测试数据的非线性回归分析获得的这些方程系数的简化摩擦方程式开发了基于物理的发动机摩擦模型。摩擦模型的技术方法可以简要概括如下。首先，研究每个组件/子组件中的关键设计参数，并且为每个子组件导出了作为设计参数函数的物理基方程。然后使用多元回归技术来确定每个发动机组件摩擦方程中的系数，以将测试数据与最小误差拟合。发达的摩擦模型用于预测不同发动机的摩擦，并且预测值与测试数据相互作用。

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