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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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HIGH TECHNOLOGY IN E-BIKE POWER SYSTEM USING MODELING DEVELOP-MENT

Authors: Pedro Vera-Serna;

HIGH TECHNOLOGY IN E-BIKE POWER SYSTEM USING MODELING DEVELOP-MENT

Abstract

Abstract The following work consists of the mechanical Computes Assisted Design (CAD) for an electric bicycle, which involves a detailed and structured process ranging from the creation of individual components to the integration of complete systems. A comprehensive global review of current e-bike technologies was conducted, focusing on the selection of lightweight and strong materials to optimize the energy efficiency and maneuverability of the bicycle. The chassis was designed primarily from carbon fiber. The selected electric motor has a capacity of 2000 W, providing an optimal balance between power and efficiency, enabling the bike to reach an autonomy of 90 km and a significant range. This project brings an innovative solution to the e-bike market using advanced design and careful selection of materials, resulting in a lightweight, durable and efficient vehicle. The novelty lies in the integration of advanced design technologies and high-quality materials, which not only improve the user experience, but also promote sustainability in urban transportation.

Keywords

-bike, power system, modeling development, high technology in materials, CAD

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green