Title :
Advanced gasoline engine misfire diagnostic method based on crankshaft speed multiple filtering
Author :
Yinhui, Wang ; Kaisheng, Huang ; Zhihua, Lin ; Fanbo, Meng
Author_Institution :
Nat. Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing, China
Abstract :
It is important to research misfire diagnostics for On Board Diagnosis system. Misfire detection based on crankshaft speed fluctuation and engine roughness calculation is a common and useful method. This paper studies the current misfire diagnostic method and the optimizing strategy based on Chery 447F engine. Advanced gasoline engine misfire detection method using multiple filtering is presented without Fuel-Cut Self Learning and Fuel-On Self-Learning.
Keywords :
automotive engineering; fault diagnosis; filtering theory; internal combustion engines; shafts; Chery 447F engine; crankshaft speed fluctuation; crankshaft speed multiple filtering; engine roughness calculation; fuel-cut self learning; fuel-on self-learning; gasoline engine; misfire diagnostic method; on-board diagnosis system; Filtering; Fluctuations; Ignition; Noise; Petroleum; Gasoline Engine; Misfire Diagnosis; Multiple Filtering; Speed Fluctuation;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5776855
