IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p1127-d741534.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/1127/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/3/1127/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Liliana Andrei & Oana Luca & Florian Gaman, 2022. "Insights from User Preferences on Automated Vehicles: Influence of Socio-Demographic Factors on Value of Time in Romania Case," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    3. Alexandra König & Laura Gebhardt & Kerstin Stark & Julia Schuppan, 2022. "A Multi-Perspective Assessment of the Introduction of E-Scooter Sharing in Germany," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    4. Hui Zheng & Baohong He & Mingwei He & Jinghui Guo, 2022. "Impact of Urban Spatial Transformation on the Mobility of Commuters with Different Transportation Modes in China: Evidence from Kunming 2011–2016," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    5. Mei-Hui Peng & Bireswar Dutta, 2022. "Impact of Personality Traits and Information Privacy Concern on E-Learning Environment Adoption during COVID-19 Pandemic: An Empirical Investigation," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    6. Feng Wang & Xing Ge & Danwen Huang, 2022. "Government Intervention, Human Mobility, and COVID-19: A Causal Pathway Analysis from 121 Countries," Sustainability, MDPI, vol. 14(6), pages 1-26, March.
    7. Liang Wen & Dora Marinova & Jeffrey Kenworthy & Xiumei Guo, 2022. "Street Recovery in the Age of COVID-19: Simultaneous Design for Mobility, Customer Traffic and Physical Distancing," Sustainability, MDPI, vol. 14(6), pages 1-23, March.
    8. Katarzyna Markowska & Agnieszka Sękala & Kinga Stecuła & Tomasz Kawka & Kirill Sirovitskiy & Oksana Pankova & Nataliia Vnukova & Mikhail Shulyak & Serhii Kharchenko & Taras Shchur & Ewa Siudyka, 2023. "Comparison of the Sustainability and Economic Efficiency of an Electric Car and an Aircraft—A Case Study," Sustainability, MDPI, vol. 15(2), pages 1-11, January.
    9. Sehyun Tak & Sari Kim & Hwapyeong Yu & Donghoun Lee, 2022. "Analysis of Relationship between Road Geometry and Automated Driving Safety for Automated Vehicle-Based Mobility Service," Sustainability, MDPI, vol. 14(4), pages 1-13, February.
    10. Christopher W. H. Davis & Antonie J. Jetter & Philippe J. Giabbanelli, 2022. "Automatically Generating Scenarios from a Text Corpus: A Case Study on Electric Vehicles," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    11. Andrzej Bąk & Elżbieta Nawrocka & Daria E. Jaremen, 2022. "“Sustainability” as a Motive for Choosing Shared-Mobility Services: The Case of Polish Consumers of Uber Services," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    12. Ali Cheshmehzangi & Maycon Sedrez & Junhang Ren & Dezhou Kong & Yifan Shen & Sinan Bao & Junhao Xu & Zhaohui Su & Ayotunde Dawodu, 2021. "The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union," Sustainability, MDPI, vol. 13(10), pages 1-24, May.
    13. Páraic Carroll, 2022. "Perceptions of Electric Scooters Prior to Legalisation: A Case Study of Dublin, Ireland, the ‘Final Frontier’ of Adopted E-Scooter Use in Europe," Sustainability, MDPI, vol. 14(18), pages 1-13, September.
    14. Georgia Ayfantopoulou & Josep Maria Salanova Grau & Zisis Maleas & Alexandros Siomos, 2022. "Micro-Mobility User Pattern Analysis and Station Location in Thessaloniki," Sustainability, MDPI, vol. 14(11), pages 1-14, May.
    15. Mei-Hui Peng & Bireswar Dutta, 2023. "The Mediating Effects of Innovativeness and System Usability on Students’ Personality Differences: Recommendations for E-Learning Platforms in the Post-Pandemic Era," Sustainability, MDPI, vol. 15(7), pages 1-20, March.
    16. Li Won Kim, 2022. "Landscape Cognition in the Era of Mobility of Things: The Notion of Platform Urbanism and Taskscape," Sustainability, MDPI, vol. 14(14), pages 1-12, July.
    17. Lisa Graaf & Stefan Werland & Oliver Lah & Emilie Martin & Alvin Mejia & María Rosa Muñoz Barriga & Hien Thi Thu Nguyen & Edmund Teko & Shritu Shrestha, 2021. "The Other Side of the (Policy) Coin: Analyzing Exnovation Policies for the Urban Mobility Transition in Eight Cities around the Globe," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    18. Rafael Fernandes Mosquim & Carlos Eduardo Keutenedjian Mady, 2022. "Performance and Efficiency Trade-Offs in Brazilian Passenger Vehicle Fleet," Energies, MDPI, vol. 15(15), pages 1-22, July.
    19. Elham Allahmoradi & Saeed Mirzamohammadi & Ali Bonyadi Naeini & Ali Maleki & Saleh Mobayen & Paweł Skruch, 2022. "Policy Instruments for the Improvement of Customers’ Willingness to Purchase Electric Vehicles: A Case Study in Iran," Energies, MDPI, vol. 15(12), pages 1-17, June.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1127-:d:741534. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.