150
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

Prediction of Voltage Signature in a Homogeneous Charge Compression Ignition (HCCI) Engine Fueled with Propane and Acetylene

Pages 1184-1201 | Received 19 Oct 2012, Accepted 27 Feb 2013, Published online: 25 Jul 2013
 

Abstract

Ion sensors work on the principle that the ion current in a combusting mixture is proportional to the electrical conductivity of the mixture. Ion sensors can thus provide direct in-cylinder combustion information to the engine controller in order to optimize engine performance and reduce emissions. Electrical conductivity of the combusting mixture depends on the mixture composition (fuel and equivalence ratio) along with the temperature and pressure. A previously developed equilibrium chemistry model consisting of 20 neutral species and seven charged species was shown to correctly predict the temporal variation of current in a constant-volume, spark-ignited methane/air mixture in a constant volume chamber, for various air/fuel ratios. The current study explores the use of this equilibrium chemistry model for predicting the voltage signatures in a homogeneous charge compression ignition (HCCI) engine fueled with alternative fuels such as propane and acetylene operating at low temperatures and equivalence ratios. Temporal variation of the current signal is compared with experimental data for various equivalence ratios for propane and acetylene. The contribution of various charged species to the current signal is also analyzed. It was seen that the equilibrium chemistry model captures the experimentally observed voltage signal trends correctly for both propane and acetylene for a range of equivalence ratios. The ability of the model to correctly correlate the voltage signal with equivalence ratio for various fuels shows its potential for diagnostics and control of next-generation engines.

ACKNOWLEDGMENTS

This work was supported by the Office of Science, U.S. Department of Energy, under Contract No. DE-AC02-06CH11357.

The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (“Argonne”). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.