Title :
Flywheel learning for multi-cylinder gasoline engine systems
Author :
Sgatti, Stefano ; Massimo, Zanotti ; De Luca, Luigi
Author_Institution :
Magneti Marelli Powertrain, Bologna, Italy
Abstract :
A flywheel learning method for multi-cylinder gasoline engine applications is proposed. The method makes use of teeth signals, obtained through a electromagnetic flywheel sensor. By this method it´s possible to correct a flywheel asymmetry for the design of a robust misfire detection algorithm that can satisfy both the European and customer constraints on performance and pollutions. The paper discusses the teeth signals treatment in order to detect and correct the asymmetry in a multi-cylinder configuration. Its main goal is to be independent from the number of cylinder.The experimental results are reported to show the validity of proposed solution.
Keywords :
electric sensing devices; fault location; flywheels; internal combustion engines; magnetic sensors; signal processing; electromagnetic flywheel sensor; flywheel asymmetry; flywheel learning; multicylinder gasoline engine systems; robust misfire detection algorithm; teeth signals; Algorithm design and analysis; Engines; Event detection; Flywheels; Magnetic sensors; Mechanical power transmission; Petroleum; Pollution; Switches; Teeth;
Conference_Titel :
Industrial Technology, 2003 IEEE International Conference on
Print_ISBN :
0-7803-7852-0
DOI :
10.1109/ICIT.2003.1290324
