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Possibility to Use Professional Bicycle Computers for the Scientific Evaluation of Electric Bikes: Velocity, Cadence and Power Data

Author

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  • Tomasz Matyja

    (Department of Road Transport, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 8 Krasinskiego Street, 40-019 Katowice, Poland)

  • Andrzej Kubik

    (Department of Road Transport, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 8 Krasinskiego Street, 40-019 Katowice, Poland)

  • Zbigniew Stanik

    (Department of Road Transport, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 8 Krasinskiego Street, 40-019 Katowice, Poland)

Abstract

The aim of this study was to check whether the data recorded by a bicycle computer paired with typical measurement sensors can be useful for a scientific evaluation of the cyclist–bicycle anthropotechnical system, including electric bicycles. The problem arose when the authors searched for methods to assess the energy efficiency of electric bicycles and intelligent power management systems provided by the assistance system, in accordance with the current needs of the bicycle user. This can be of great importance in the efficient use of electric bicycles and their batteries, in the event that they are rented in public access systems. This article focuses primarily on data on bicycle speed, calculated by the GPS module or obtained from speed sensors, as well as data from the cadence sensor, power measurement, pedaling technique and heart rate. An attempt was made to evaluate the correctness and consistency of the data recorded by the computer through various types of comparatives analyses. The conducted research used data recorded when traveling the same route with various bikes, including electric ones, with and without assistance. This is the second part of the research. The first part focusing on data obtained by a computer from a GPS system and a barometric altimeter was published in an earlier article. In both parts, the authors presented some advantages and disadvantages of using bicycle computers as tools for measuring and acquiring data. In general, it seems that the existing technology used by bicycle computers and the measurement sensors that cooperate with it can be used in the development of a system that optimizes energy consumption.

Suggested Citation

  • Tomasz Matyja & Andrzej Kubik & Zbigniew Stanik, 2022. "Possibility to Use Professional Bicycle Computers for the Scientific Evaluation of Electric Bikes: Velocity, Cadence and Power Data," Energies, MDPI, vol. 15(3), pages 1-16, February.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1127-:d:741534
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    References listed on IDEAS

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    1. Katarzyna Turoń & Andrzej Kubik & Feng Chen, 2021. "When, What and How to Teach about Electric Mobility? An Innovative Teaching Concept for All Stages of Education: Lessons from Poland," Energies, MDPI, vol. 14(19), pages 1-16, October.
    2. Tomasz Matyja & Andrzej Kubik & Zbigniew Stanik, 2022. "Possibility to Use Professional Bicycle Computers for the Scientific Evaluation of Electric Bikes: Trajectory, Distance, and Slope Data," Energies, MDPI, vol. 15(3), pages 1-18, January.
    3. Katarzyna Turoń & Andrzej Kubik & Feng Chen, 2021. "Electric Shared Mobility Services during the Pandemic: Modeling Aspects of Transportation," Energies, MDPI, vol. 14(9), pages 1-19, May.
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    Cited by:

    1. Piotr Kędziorek & Zbigniew Kasprzyk & Mariusz Rychlicki & Adam Rosiński, 2023. "Analysis and Evaluation of Methods Used in Measuring the Intensity of Bicycle Traffic," Energies, MDPI, vol. 16(2), pages 1-18, January.
    2. Katarzyna Turoń & Andrzej Kubik & Feng Chen, 2022. "What Car for Car-Sharing? Conventional, Electric, Hybrid or Hydrogen Fleet? Analysis of the Vehicle Selection Criteria for Car-Sharing Systems," Energies, MDPI, vol. 15(12), pages 1-14, June.
    3. Andrzej Kubik, 2022. "The Energy Consumption of Electric Scooters Used in the Polish Shared Mobility Market," Energies, MDPI, vol. 15(21), pages 1-15, November.

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