Paper Title:
The Research of Air Fuel Ratio Self-Learning Control Strategy Based on UEGO Sensor
  Abstract

This paper begins with physical characteristics and the basic working principle of the traditional switch-type Exhaust Gas Oxygen (EGO) sensor and Universal Exhaust Gas Oxygen (UEGO) senor, and then it analyses the Air-Fuel ratio (A/F) Self-learning Control strategy and designs A/F Self-learning Control algorithm of Electronic Control Turbocharged CNG lean-burn engine based on UEGO sensor. At the end, it uses the written control code into ECU of the test engine, and after bench calibration tests it shows that the designed algorithm can compensate wearing, tiring, aging and other state of the engine and improve A/F control accuracy.

  Info
Periodical
Edited by
Yi-Min Deng, Aibing Yu, Weihua Li and Di Zheng
Pages
1544-1548
DOI
10.4028/www.scientific.net/AMM.37-38.1544
Citation
L. Tang, W. Q. Meng, H. Y. Gan, "The Research of Air Fuel Ratio Self-Learning Control Strategy Based on UEGO Sensor", Applied Mechanics and Materials, Vols. 37-38, pp. 1544-1548, 2010
Online since
November 2010
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Price
$32.00
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