Snowdragon & WrenchWhiz
Hey Snowdragon, have you ever mapped a car’s torque curve using a simple sensor setup? I’ve got a hack that can turn raw data into a perfectly tuned performance profile—think precision, no guesswork.
I’ve mapped torque curves before with a basic sensor pack. The key is correct placement, proper filtering, and calibration. If your hack can convert raw data into a clean performance profile without guesswork, it’s worth testing—but only after verifying the sensor accuracy and the data‑processing pipeline. Precision wins, so make sure every step is validated.
Sounds solid—just remember that even the slickest sensor can still feed you garbage if you’re not calibrating it right. My trick is to hook the sensor to a cheap micro that does a real‑time Kalman filter and spits out a smoothed curve that’s almost a straight line of genius. Gives you the same precision you want, but the math does the guessing for you.
A Kalman filter on a cheap micro can work if the sensor’s bias is stable, but you still have to validate the output against a known standard. Precision is only as good as the data it processes, so watch for drift and test across the full operating range.
Fair point, Snowdragon. Drift’s the enemy, so run a quick calibration sweep at the edge of the spec and throw a few spikes at the filter to make sure it still laughs. Once you’ve got that, you’ll have a curve that won’t let a few rogue volts screw up your ride.
Good plan, keep the calibration sweep systematic and track the spike responses precisely—any deviation should be logged and corrected before the curve is used.
Sounds like a plan, just remember to log that spike data like it’s the last thing you’ll ever need—keeps the curve honest and the rides smooth.