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Exhaust Pressure Estimation and Its Application to Detection and Isolation of Turbocharger System Faults for Internal Combustion Engines

机译:排气压力估计及其在内燃机涡轮增压器系统故障检测与隔离中的应用

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摘要

Engine exhaust backpressure is a critical parameter in the calculation of the volumetric efficiency and exhaust gas recirculation flow of an internal combustion engine. The backpressure also needs to be controlled to a presetting limit under high speed and load engine operating conditions to avoid damaging a turbocharger. In this paper, a method is developed to estimate exhaust pressure for internal combustion engines equipped with variable geometry turbochargers. The method uses a model-based approach that applies a coordinate transformation to generate a turbine map for the estimation of exhaust pressure. This estimation can substitute for an expensive pressure sensor, thus saving significant cost for production vehicles. On the other hand, for internal combustion engines that have already installed exhaust pressure sensors, this estimation can be used to generate residual signals for model-based diagnostics. Cumulative sum algorithms are applied to residuals based on multiple sensor fusion, and with the help of signal processing, the algorithms are able to detect and isolate critical failure modes of a turbocharger system.
机译:发动机排气背压是计算内燃机的容积效率和排气再循环流量的关键参数。在高速和负载发动机工况下,还需要将背压控制到预设极限,以免损坏涡轮增压器。在本文中,开发了一种估计配备有可变几何涡轮增压器的内燃机的排气压力的方法。该方法使用基于模型的方法,该方法应用坐标变换以生成用于估计排气压力的涡轮机图。该估计可以替代昂贵的压力传感器,从而为生产车辆节省大量成本。另一方面,对于已经安装了排气压力传感器的内燃机,该估计值可用于生成残差信号以进行基于模型的诊断。基于多传感器融合,将累积和算法应用于残差,并且借助信号处理,这些算法能够检测和隔离涡轮增压器系统的关键故障模式。

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