Cycling Power to Speed Equation:
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The Power to Speed Calculator estimates cycling speed based on power output and various resistance factors. It uses fundamental physics equations to model the relationship between power input and resulting speed, accounting for rolling resistance and aerodynamic drag.
The calculator uses the cycling power equation:
Where:
Explanation: The equation balances power input against the sum of rolling resistance and aerodynamic drag forces. Since speed appears on both sides, an iterative solution is required.
Details: Understanding the relationship between power and speed helps cyclists optimize training, equipment selection, and race strategy. It provides insights into how different factors affect cycling performance.
Tips: Enter power in watts, rolling resistance coefficient (typically 0.004-0.008 for road bikes), total mass (rider + bike), air density (1.225 kg/m³ at sea level), and drag coefficient (0.2-0.4 m² for typical cycling positions).
Q1: What is a typical rolling resistance value?
A: For road bikes on smooth pavement, Crr values range from 0.004 to 0.008. Lower values indicate less rolling resistance.
Q2: How does air density affect speed?
A: Higher air density (at lower altitudes or colder temperatures) increases aerodynamic drag, requiring more power to maintain the same speed.
Q3: What is a typical CdA value?
A: CdA values range from about 0.2 m² for time trial positions to 0.4 m² for upright riding positions. Professional cyclists can achieve values as low as 0.18 m².
Q4: Why is the calculation iterative?
A: Because speed appears in both the result and the aerodynamic drag term, the equation must be solved iteratively to find the consistent solution.
Q5: How accurate is this calculator?
A: The calculator provides theoretical estimates. Actual speed may vary due to factors like road gradient, wind conditions, drivetrain efficiency, and tire pressure.