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0-130mph in a Model X P100D

Discussion in 'Model X' started by Racerx22b, Jun 21, 2018.

  1. Racerx22b

    Racerx22b @unplggdd on Instagram

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    Here are the stats.

    95% SOC
    Launch Control
    Ludicrous +
    Your standard secondary road asphalt surface with no prep
    Late 2016 AP1 6 Seater Model X P100D with stock Pirelli tires (22")
    Driver only
    I lifted before hitting the half mile

    Stats are from Dragy device

    IMG_1144.jpg
     
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    • Love x 1
  2. Peteybabes

    Peteybabes redneck drivin' a tesla...

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    what would you estimate the 1/2 mile to be? 17 seconds at 140mph?
     
  3. Racerx22b

    Racerx22b @unplggdd on Instagram

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    I don't know. I'll have to do it again. Stay tuned.
     
  4. BigMskiman

    BigMskiman Member

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    I still want my mommy and have not got to 130mph yet......you're having some real fun!
     
  5. Peteybabes

    Peteybabes redneck drivin' a tesla...

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    the full 157MPH is achievable in under a mile...just sayin'
     
  6. Krash

    Krash Data Technician

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    #6 Krash, Jun 22, 2018
    Last edited: Jun 22, 2018
    Bonus points to run the API runlogger on a future run (iOS Powertools or Android Dashboard for Tesla - Free one day code for the latter). We don't have a quarter mile X sample.

    We could really use the Max Power drop data due to back EMF, so the longer you can hang on full throttle the better.

    Double bonus if you want to put it in neutral at 130 mph and log the coast down time to help refine the X Cd and rolling resistance data.
     
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  7. Racerx22b

    Racerx22b @unplggdd on Instagram

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    I don't have the iOS power tools but will look into it.

    Can you elaborate more on this... Not sure I understand exactly what data you want from this... "Double bonus if you want to put it in neutral at 130 mph and log the coast down time to help refine the X Cd and rolling resistance data."

    This was from my fastest 1/4 mile run (11.281). Not sure if this helps at all.

    IMG_1826.jpg
     
  8. Krash

    Krash Data Technician

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    We're not as interested in the time as we are in the power output over time that the API provides. And the torque you can derive from that.

    The coasting experiment is new. You can approximate\refine the car's drag coefficient of friction (Cd) and wheel's rolling resistance if you let if coast from a high speed down to a low speed. But we need it done over a flat distance and we need to know temperature and tire size and type. Ideally we'd do several runs in two directions, the latter to account for small windage.
     

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