Enhancement of a Software-Based Sensing Approach, which Instantaneously Determines the Mixture Fraction of Bio-Diesel Present in a Crude Oil Based Classic Diesel Fuel by Use of an Alternative Set of Integral Key-Parameters

Paper #:
  • 2014-01-1348

Published:
  • 2014-04-01
DOI:
  • 10.4271/2014-01-1348
Citation:
Pontoppidan, M. and Montanari, G., "Enhancement of a Software-Based Sensing Approach, which Instantaneously Determines the Mixture Fraction of Bio-Diesel Present in a Crude Oil Based Classic Diesel Fuel by Use of an Alternative Set of Integral Key-Parameters," SAE Technical Paper 2014-01-1348, 2014, doi:10.4271/2014-01-1348.
Pages:
8
Abstract:
The paper gives a short introduction to the bio-diesel mixture approach for diesel engines.The paper continues with a description of the design of a strategy for recognition of a random bio-diesel fraction, Bx, by a purely software-based sensing technique, which creates an image of the temporal combustion behavior and uses only sensors already in service for current common rail mixture preparation systems.A short description is made of a baseline approach of a sensing technique using a crank angle speed sensor. Hereafter the paper continues by the introduction of several integral or Upper Level (UL) key-parameters applied to enhance the precision of the Bx-detection or completely replace the original lower level combustion key-parameter set, which relates the instantaneous fraction of bio-diesel, Bx, to the engine torque.The paper concludes presenting a series of experimental verification data obtained on a large-scale series produced 1.3 liter Turbo CR-rail passenger car engine.
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