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Check out the Unit_Testing branch. It has power table for power and supports cadence sensors. Instead of a potentiometer, we home the knob instead, so that we know absolute position from "zero". Then we can use an imported power table (created from using a real power meter on the bike) for inferencing power vs resistance position vs cadence. It's a work in progress, but I'm working on it pretty heavily. |
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HI, I have been using smartspin for some time but was never able to get it to work reliably. This is mainly due to the following issue
The bike power meter reading is incorrect. Currently it does not take the resistance into account. I checked the bike electronics and it seems that a potmeter is used to feed the position of the resistance knob to a BLE board. This board also uses cadence as input and calculates a power value which is then sent to the SmartSpin. However currently the reading clearly sees the resistance as constant as I'm seeing very high power values at high cadence (and thus low resistance) which does not make sense
My idea to solve this is to wire this resistance to the Smartspin PCB on an analog input. Next I'd use my Favero power meter to log data points at different resistance and cadence as 'reference' values. Then I would reconstruct this relation by using the data of these two inputs: resistance and cadence on the SmartSpin. I would try to do this first in python using a curve fit and then replace the heart rate to power function to set the bike Power using Cadence and Resistance as inputs
I wanted to check if this idea makes sense or if you think there is an easier way to get a better power reading from the bike without using a dedicated power meter. I prefer to leave the latter installed on my roadbike and then I don't need swap them every time I want to train indoors.
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