I'm getting very close on my truck tune. It's a 2020 Silverado with an L84 5.3, 10 speed and an E90 Global A ecu. I've swapped out the DFM cam for an L8T cam, LS7 lifters and BTR beehive springs. I just installed a Magnuson 2650 with the Lingenfelter IAT Baro breakout box. Lingenfelter suggested running the factory 1 bar map to the supercharger inlet and ignore the pressure after the rotors. So, it never sees positive pressure or a PR above 1. This means it actually drops back a little at high rpm WOT as the inlet becomes restricted. PR ~.96 at higher rpm.
I've got the maf pretty close, but I seem to get variation in the upper flow ranges. Maybe my wideband is inconsistent, The sensor is old and seen a lot of miles in my CTSV. But the truck is running great as is.
My issue is with the Neural Network. I'm on about the 15th revision and I'm struggling to get the low and high PR ranges dialed in. I can't get a lot of data in my logs to fill that in and with all the filtering for the multiple cam angles, it's hard to get a lot on each histogram. What is the strategy for that? Do you set the cam to each angle in the tune and log each time you change it? Otherwise how do you get higher rpm data on the low cam angles and vice versa?
This is the closest I've gotten on the NN tune. I have individual histograms, but this is an overall so that I can watch it and fill in while driving. I have the trained NN file to look at, but it's not an uploadable file extension here. I can't seem to upload the log either, is there a file size limit?
NN datalog.jpg