Image processing-based methodology for optimizing automotive ignition timing
Document Type
Article
Publication Date
2-12-2009
Abstract
Modern fuel-injected automobiles use an electronic engine control unit (ECU) that is programmed to ignite the air-fuel mixture in a way that maximizes the torque (TQ) and power output of the engine without compromising its reliability. The ECU achieves this by reading a base value from the primary ignition map (PIM) and then manipulating various other parameters to come up with the final solution. Each input into the final solution comes from a so-called map, which is a 3-D image that represents a set of all the possible values that each parameter can take on. In this paper, we develop a robust methodology using image processing techniques to optimize the PIM for automobiles. The techniques are used to compare, combine, manipulate, and reconstruct various maps. Experiments show that the process yields a gain of about 7 hp and a TQ of 15 ft · lb measured at the wheels. © 2009 IEEE.
Identifier
59649100862 (Scopus)
Publication Title
IEEE Transactions on Vehicular Technology
External Full Text Location
https://doi.org/10.1109/TVT.2008.924970
ISSN
00189545
First Page
85
Last Page
92
Issue
1
Volume
58
Recommended Citation
Bober, Tomas and Shih, Frank Y., "Image processing-based methodology for optimizing automotive ignition timing" (2009). Faculty Publications. 12155.
https://digitalcommons.njit.edu/fac_pubs/12155
