LAPSE:2023.31481
Published Article
LAPSE:2023.31481
Possibility to Use Professional Bicycle Computers for the Scientific Evaluation of Electric Bikes: Trajectory, Distance, and Slope Data
Tomasz Matyja, Andrzej Kubik, Zbigniew Stanik
April 19, 2023
This work presents an analysis of data recorded by a bicycle computer paired with typical measurement sensors in order to determine whether the data can be useful for a scientific evaluation of the cyclist−electric bicycle anthropotechnical system. There are no studies on this subject in the available literature. An attempt was made to estimate the quality of data and define the most effective methods of processing and filtering. The imperfections of the measurement system and the potential directions of the development of bicycle computers are indicated. Particular attention has been given to the data needed to compare the energy efficiency of assisted electric bicycles. However, the results of the analyses can also be used in cyclist endurance tests and to simulate routes in various types of bicycle trainers. The article focuses on the data obtained from the GPS module and the barometric altimeter, which make it possible to estimate the trajectory of movement, the distance traveled, and the height of the route above sea level as well as its slope. In order to assess the accuracy, the data from the bicycle computer was compared with the geodetic data. Methods for averaging GPS routes were also proposed. In this way, it was possible to identify the parameters of the selected path for testing bicycles quite accurately. The research presented in this paper is an introduction to the development of methods for assessing the energy efficiency of electric bicycles. Analyses of other data measured by the cycling computer, such as speed, cadence, and power, will be carried out in the second planned part of the article.
Keywords
altitude, bicycle computer, electric bikes, GPS data, slope, trajectory averaging
Subject
Suggested Citation
Matyja T, Kubik A, Stanik Z. Possibility to Use Professional Bicycle Computers for the Scientific Evaluation of Electric Bikes: Trajectory, Distance, and Slope Data. (2023). LAPSE:2023.31481
Author Affiliations
Matyja T: Department of Road Transport, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 8 Krasinskiego Street, 40-019 Katowice, Poland [ORCID]
Kubik A: Department of Road Transport, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 8 Krasinskiego Street, 40-019 Katowice, Poland [ORCID]
Stanik Z: Department of Road Transport, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 8 Krasinskiego Street, 40-019 Katowice, Poland
Journal Name
Energies
Volume
15
Issue
3
First Page
758
Year
2022
Publication Date
2022-01-20
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15030758, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.31481
This Record
External Link

doi:10.3390/en15030758
Publisher Version
Download
Files
[Download 1v1.pdf] (8.4 MB)
Apr 19, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
52
Version History
[v1] (Original Submission)
Apr 19, 2023
 
Verified by curator on
Apr 19, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.31481
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version