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Abnormal combustion detection method for internal-combustion engines from combustion indicator distribution modelling

机译:基于燃烧指标分布模型的内燃机异常燃烧检测方法

摘要

An abnormal combustion detection method for spark-ignition internal-combustion engines, from combustion indicator distribution modelling is disclosed. At least one combustion indicator such as CA10 is determined. The distribution of N values of this indicator, acquired over N cycles preceding the cycle in progress, is modelled by determining coefficients of a theoretical distribution law. Modelling is repeated by removing extreme values from among the N values or for various working points of the engine, to obtain an evolution of the coefficients. At least one parameter characterizing evolution of at least one of these coefficients is determined. The start of an abnormal combustion is detected by comparing the parameter with a predetermined threshold, and the course of the abnormal combustion detected in the combustion chamber is controlled.
机译:公开了一种基于燃烧指示器分布模型的用于火花点火式内燃机的异常燃烧检测方法。确定至少一个燃烧指示器,例如CA10。通过确定理论分布定律的系数来模拟在进行中的循环之前的N个循环中获取的该指标的N个值的分布。通过从N个值中删除极端值或对引擎的各个工作点进行重复建模,以获得系数的演变。确定表征这些系数中的至少一个的演化的至少一个参数。通过将参数与预定阈值进行比较来检测异常燃烧的开始,并且控制在燃烧室中检测到的异常燃烧的进程。

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