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PreprintarXiv licencearXiv

Quantifying Bicycle Setup Differences on the Road: Field Estimates of CdA, Crr and Power Demand

Abstract

Individual bicycle configurations can be assessed in situ using power and speed measurements without a velodrome or wind tunnel. We apply an integrated energy-balance workflow to five configurations tested by one rider on a road section. Five nominal power levels, each ridden in both directions, yield 25 paired observations. Kinetic-energy changes are corrected explicitly; gravitational work cancels between spatially matched outward and return sections. A shared effective rolling-resistance coefficient Crr and a separate aerodynamic drag area CdA for each setup are estimated jointly. The fitted drag areas range from 0.2288 to 0.3601m^2, with a common Crr=0.00551 +/- 0.00047. At 40km/h, the estimated differences are 17.4 +/- 5.5W favouring the EZ-covered over the uncovered 80mm rear-wheel configuration and 64.3 +/- 4.0W favouring the aerobar position over the drops on the tested road bike. The helmet swap yields a difference of 3.5 +/- 2.8W. Reported uncertainties combine statistical variability and assumed input uncertainties and represent one standard deviation. The study demonstrates a practical workflow for quantifying individual setup differences and connecting resistance estimates to power-speed predictions under specified reference conditions.

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BibTeX
@misc{zinßer2026quantifying,
  title = {{Quantifying Bicycle Setup Differences on the Road: Field Estimates of CdA, Crr and Power Demand}},
  author = {Mario Zinßer},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.03002},
  eprint = {2611.03002},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.03002},
}
RIS
TY  - UNPB
TI  - Quantifying Bicycle Setup Differences on the Road: Field Estimates of CdA, Crr and Power Demand
AU  - Mario Zinßer
PY  - 2026
DA  - 2026/11/02
PB  - arXiv
DO  - 10.48550/arxiv.2611.03002
UR  - https://arxiv.org/abs/2611.03002
AB  - Individual bicycle configurations can be assessed in situ using power and speed measurements without a velodrome or wind tunnel. We apply an integrated energy-balance workflow to five configurations tested by one rider on a road section. Five nominal power levels, each ridden in both directions, yield 25 paired observations. Kinetic-energy changes are corrected explicitly; gravitational work cancels between spatially matched outward and return sections. A shared effective rolling-resistance coefficient Crr and a separate aerodynamic drag area CdA for each setup are estimated jointly. The fitted drag areas range from 0.2288 to 0.3601m^2, with a common Crr=0.00551 +/- 0.00047. At 40km/h, the estimated differences are 17.4 +/- 5.5W favouring the EZ-covered over the uncovered 80mm rear-wheel configuration and 64.3 +/- 4.0W favouring the aerobar position over the drops on the tested road bike. The helmet swap yields a difference of 3.5 +/- 2.8W. Reported uncertainties combine statistical variability and assumed input uncertainties and represent one standard deviation. The study demonstrates a practical workflow for quantifying individual setup differences and connecting resistance estimates to power-speed predictions under specified reference conditions.
ER  -