CJBax
Well-Known Member
- First Name
- Cruiser
- Joined
- May 29, 2021
- Threads
- 4
- Messages
- 91
- Reaction score
- 141
- Location
- Tacoma, Wa
- Vehicle(s)
- 2021 Ranger XLT FX4
- Occupation
- Software Development
Interesting video.. thanks for posting it @AdamHarris
@ 3:15 he states "I'll simply go into the computer and clear the adaptive tables out"
@ 4:17 he goes through how he got a 2018 Ford Raptor to relearn shifting
Hard to argue it doesn't learn if the computer has adaptive tables... and if you clear those out... give it some time to re-adapt, and then it shifts differently.
And good to know you can ask the dealer to go in and clear out the adaptive tables if you have issues (as he talks about @ 7:50 & 8:09), or even go in and turn it off completely (which sounds like a bad idea due to possible increased wear issues, as he talks about at 7:22)
Heck, you could even show the end of this video to the Service Manager and tell them this is what you want done, and you'll pay for that extra 15 minutes of time for the tech to do it (go to 8:09).
No one is saying that the transmission doesn't "learn" it is well known that the 10r80 tcm is adaptive. Heck, I've had vehicles from other manufacturers as far back as 2005 that the manufacturer stated the transmission was adaptive. What we are saying is that the transmission is not learning my unique driving style in such a way as he claims in the video. Just look at the TSB snippet posted above by RP. It clearly states that the computer, presumably the TCM, learns the TRANSMISSION'S unique parameters, not the users driving habits.
An example of what this sounds like is something astronomers see in equatorial mounts that must be very precise. Each mount has tiny variances in worm drives or other gears or pullys that cause repeatable specific behavior that leads to imperfect tracking of the stars. To solve this we use autoguiding in real-time to compensate for those variances and improve tracking. Another approach is something we call permanent periodic error correction, where the motors go through several cycles of all the gearing and the computer identifies (learns) the tiny variances then saves a table that will allow the computer preemptively compensate for them in the future, improving operation precision.
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