I was thinking about this question recently:
Next steps:
Also, feel free to chime in with how you shift to get the most out of your tune. I did not see much on this topic. I know there are a lot of factors (AWD vs. RWD, track vs. road, etc.) that won't be captured in a simple model, so good to get real-world feedback.
- What defines the optimal shifting strategy in Q50 red sport and how is this correlated to dyno results?
- "optimal", as-in get from point A to point B as quick as possible
- Looking at dyno logs on this forum/elsewhere, it seems like there might be enough variability in torque curves to not say "always shift at redline" and call it a day
- Use data to dynamically define optimal shift RPM across gears for a given tune
- Variable for Optimization: acceleration (max)
- Model parameters
- Torque
- Gear ratio
- RPM
- Model assumptions
- Considering only straight-line acceleration scenario
- 100% traction at all times
- would be interesting to explore frictional force and a function for % traction ~ F(% throttle, RPM, Torque, Gear, tire friction coefficient) but leaving that out of scope for v1
- maximize forward progress, minimize wheel spin
- would be interesting to explore frictional force and a function for % traction ~ F(% throttle, RPM, Torque, Gear, tire friction coefficient) but leaving that out of scope for v1
- Final drive ratio, other gear reductions, and drivetrain loss are constant
- Shift timing is constant, near 0
- Assume wheel parameters are constant (same diameter, mass)
Q50 RS Gear Ratio | Correct? | |
Gear | Ratio | Gear Shift Ratio % Change (Hi to Lo) |
1 | 4.78 | 54% |
2 | 3.1 | 57% |
3 | 1.98 | 45% |
4 | 1.37 | 37% |
5 | 1 | 15% |
6 | 0.87 | 12% |
7 | 0.78 |
Next steps:
- Find sample dyno log data for Q50 with continuous Torque distribution and assess if there may be variable optimal shift strategies (please ping me if you have a sample data set)
Also, feel free to chime in with how you shift to get the most out of your tune. I did not see much on this topic. I know there are a lot of factors (AWD vs. RWD, track vs. road, etc.) that won't be captured in a simple model, so good to get real-world feedback.