This may already be possible, but is there a way to adjust the rate and/or ceiling at which or to the W’ climbs back up during a workout?
My FTP/W’ settings result in my depletion during all-out or nearly all-out VO2-style efforts matching what I feel I have left, but then 4-5min later it’s got me back ~100% when I know that’s not the case for me.
Example, I did 3 x ~7min yesterday w/ 4min between, and see this, but I was almost completely done at the end of the third rep, and the second one felt like I emptied myself most.
Thanks. To clarify, I wasn’t asking about the modelling or calculations behind it - I’m wondering if I can enter a custom recovery rate that is slower than the built-in.
The links have all the information you need to build your own W’ stream. The math and the definition of the constant(s) that influence recovery.
If you build your own stream, you can experiment all you want.
The answers is yet, but depends on the equation which is being used. There is the integral which has a exponential regression function.
τW’=a∙ e^((-kx))+b which equates to skiba’s 2012 τw’=546e^((-0.01Dcp) )+316 which doesn’t work well, I have a paper on this in review. The later differential model simply uses W’/Dcp as the time constant for recovery. I’m not familiar with Java for the above, so can’t say much on the above.
There is also a power function TAU = a * dcp^-b which has been used by Bartram 2018 and Pugh 2022
Is it possible to individualise, yes! I’ve done this for riders and teams and my whole PhD is on it. There is also no affect currently account for accumulated work above CP, as it does seem to slow down/degrade W’ which is something we are working on and presenting some initial findings later on this year.