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High engine load and over-heated engine cylinder are the main causes of engine knock. When knock occurs in an engine, vibrations composed of several specific resonant frequencies occur. Some of these resonant frequencies are missed stochastically because specific resonant frequencies are caused by different resonant vibration modes in an engine cylinder. However, a conventional knock detector can only measure a fixed resonant frequency using a band-pass filter. This paper presents a multi-spectrum method which greatly improves knock detection accuracy by detecting the knock resonance frequencies from several specific vibration frequencies. Through overcoming the random occurrences of knock resonant frequencies by selecting specific frequencies, knock detection accuracy can be greatly improved. We studied a high precision knock detection method using real-time frequency analysis and a piezoelectric accelerometer on a V-6 engine.

An automatic matching method for engine control parameters is described which can aid efficient development of new engine control systems. In a spark-ignition engine, fuel is fed to a cylinder in proportion to the air mass induced in the cylinder. Air flow meter characteristics and fuel injector characteristics govern fuel control. The control parameters in the electronic controller should be tuned to the physical characteristics of the air flow meter and the fuel injectors during driving. Conventional development of the engine control system requires a lot of experiments for control parameter matching. The new matching method utilizes the deviation of feedback coefficients for stoichiometric combustion. The feedback coefficient reflects errors in control parameters of the air flow meter and fuel injectors. The relationship between the feedback coefficients and control parameters has been derived to provide a way to tune control parameters to their physical characteristics.