Bike Tire Rolling Resistance Calculator: Force, Power, Energy

Calculate bike tire rolling resistance force, power, and energy expenditure.

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Bike Tire Rolling Resistance Calculator: Force, Power, Energy

About this bike tire rolling resistance calculator

This template calculates essential resistance metrics based on user-defined physical parameters, akin to how a KPI calculator helps track and analyze key performance indicators. It operates as a single-sheet tool without external database connections or scripts, focusing purely on formula-based logic, much like a heat loss calculator.

By utilizing standard physics formulas to determine efficiency losses, the calculator provides immediate feedback on how weight, pressure, and speed affect performance. This allows for quick comparisons between different equipment setups or riding scenarios, much like performing sensitivity analysis to understand variable impact.

Template structure and components

The spreadsheet, which exemplifies how such tools can be considered among the best data science tools, is organized into distinct sections to separate user inputs from calculated results.

Layout overview

  • Title row located at A1 for clear identification
  • Input section spanning rows 3-8
  • Output section spanning rows 10-13
  • Citation reference in row 15

Input parameters

The input section in column B allows users to define the physical variables for the calculation. Column C displays the specific units required for accurate results.

  • Total weight: Combined mass of rider and bike (kg)
  • Tire pressure: Inflation level (psi)
  • Tire width: Contact patch determinant (mm)
  • Rolling resistance coefficient (Crr): Dimensionless value representing tire efficiency
  • Speed: Velocity of travel (km/h)
  • Units: Defined in column C to ensure data accuracy

Calculated outputs

The output section displays the results derived from the input parameters. These cells update automatically whenever an input value is changed.

  • Rolling resistance force: Measured in Newtons (N)
  • Power required: Wattage needed to overcome resistance (W)
  • Energy expenditure: Energy used per kilometer traveled (kJ)

Calculation methodology

The calculator employs standard physics formulas to determine the mechanical cost of rolling resistance, much like a quadratic formula calculator solves algebraic equations.

  • Force calculation: Product of Crr, total weight, and gravitational acceleration (9.81 m/s²)
  • Power derivation: Rolling resistance force multiplied by velocity (converted to m/s)
  • Energy computation: Force multiplied by 1,000 meters
  • Theoretical basis: Relies on research by Grappe et al. regarding tire pressure and resistance

How to use the calculator

To use this template effectively, users should focus on the input variables in column B.

  • Locate the input section in column B
  • Modify values for weight, pressure, width, Crr, and speed
  • Observe automatic updates in the output section (rows 10-13)
  • Compare results to optimize bike setup for specific riding conditions

Who this bike tire rolling resistance calculator template is for

This tool is designed for individuals and professionals interested in the physics of cycling efficiency, much like a vdot running calculator helps runners optimize their training and race planning.

  • Cyclists analyzing equipment efficiency and watt savings
  • Bike mechanics setting up tires for optimal performance
  • Physics students studying practical applications of force and power formulas
  • Performance coaches evaluating energy expenditure factors

Use Quadratic to Calculate Bike Tire Rolling Resistance

  • Quickly determine rolling resistance force, power, and energy expenditure based on your inputs.
  • Understand the immediate impact of weight, tire pressure, and speed on cycling performance.
  • Compare different bike setups and riding scenarios to optimize for efficiency.
  • Adjust input parameters like total weight, tire pressure, and speed, and see results update automatically.
  • Evaluate equipment efficiency and potential watt savings for various cycling conditions.

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