- Fri Jul 26, 2024 3:58 pm
#69070
Every application would be different, but for controlled fuel applications (race) I use 3% and 5% as my warning and limits, while for street it's typically 5% and 7% due to poor fuel quality control. My angle on this is simply that a running target of 14:1 at a specific point of the tune, with a limit of 10%, is capable of adjusting from 12.6:1 to 15.4.
Those limits are well outside of reasonable for the expected conditions at that table cell. 3.6% would be .5 AFR, so 13.5-14.5 as a reasonable correction range — again depending on application and fuel.
Currently, we can use long(er)-term averaging with very large #cycles between corrections. I have also used rolling average to nail values before, with incremental effect to the running average. Many approaches, but that circles back to why you want this? Be specific.
It could be very different use for me than you, e.g. I want it to compensate for seasonal changes in fuel blends with global table adjustment, while you want it to correct for specific small errors in the tune. Very different uses, and how it would function.
Be specific, and for greatest flexibility and usefulness, consider other uses and how the feature could address those also.
Those limits are well outside of reasonable for the expected conditions at that table cell. 3.6% would be .5 AFR, so 13.5-14.5 as a reasonable correction range — again depending on application and fuel.
Currently, we can use long(er)-term averaging with very large #cycles between corrections. I have also used rolling average to nail values before, with incremental effect to the running average. Many approaches, but that circles back to why you want this? Be specific.
It could be very different use for me than you, e.g. I want it to compensate for seasonal changes in fuel blends with global table adjustment, while you want it to correct for specific small errors in the tune. Very different uses, and how it would function.
Be specific, and for greatest flexibility and usefulness, consider other uses and how the feature could address those also.
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