Cylinder pressure signal provides key feedback information that allows for several engine monitoring and control capabilities. During the last few years, the use of cylinder pressure traces for advanced combustion strategies has become the focus of several research works. This is primarily due to the availability of reliable and inexpensive cylinder pressure sensors with expected durability that meets the vehicle lifetime. In this context, several approaches have been proposed to determine the engine trapped mass from the cylinder pressure measurements. A recent innovative approach for trapped charge determination based on a two‐dimensional graphical signature is proposed in a previous work. The resulting estimator uses cylinder pressure signal as a unique input and allows to deduce the trapped mass on a cycle by cycle basis in steady and transient operating conditions. It has been validated in a wide range of engine operating conditions using instrumentation and industrial cylinder pressure sensors. This paper provides a theoretical framework and in‐depth analysis for the signature based trapped mass estimator. A state‐space model for in‐cylinder conditions during the compression phase that complies with the signature modeling structure is developed. Extensive numerical investigations using an experimentally validated simulation platform are then performed. The objective is to select the optimal signature generation interval that reduces the impact of cycle to cycle fluctuations in terms of intake valve closing temperature and polytropic index. The obtained results are promising and clearly show the performance and robustness of the signature based trapped mass estimator that can provide relevant feedback information for adaptive engine control systems. It can be easily implemented for real‐time monitoring and control in industrial automotive applications.

中文翻译：

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基于缸内压力信号投影的汽车柴油机捕集质量估计

气缸压力信号提供关键的反馈信息，从而可以进行多种发动机监视和控制功能。在过去的几年中，将气缸压力曲线用于先进的燃烧策略已成为几项研究工作的重点。这主要归因于可靠，廉价的气缸压力传感器的可用性，这些传感器具有预期的耐久性，可以满足车辆的使用寿命。在这种情况下，已经提出了几种方法来从汽缸压力测量值确定发动机捕获的质量。在先前的工作中，提出了一种基于二维图形签名的最新创新方法，用于确定捕获电荷。所得的估算器将气缸压力信号用作唯一输入，并允许在稳定和瞬态运行条件下逐周期推导捕获的质量。使用仪表和工业汽缸压力传感器已在各种发动机工况下进行了验证。本文为基于签名的陷阱质量估计器提供了理论框架和深入的分析。针对压缩阶段缸内条件的状态空间模型，开发了符合签名建模结构的模型。然后使用经过实验验证的仿真平台进行了广泛的数值研究。目的是选择最佳特征码生成间隔，以减少进气门关闭温度和多变指数方面的变化对周期波动的影响。所获得的结果是有希望的，并且清楚地显示了基于特征的被困质量估计器的性能和鲁棒性，其可以为自适应发动机控制系统提供相关的反馈信息。它可以轻松实现以用于工业汽车应用中的实时监视和控制。