Highly Efficient Self-Charging Smart Electric Bike

Electric bikes offer a clean alternative to fossil fuel-powered vehicles, contributing to environmental preservation. This project aims to develop an electric bike with smart features including GPS live location tracking, smart display, and accident detection. Particularly beneficial for late-night commuters, the GPS feature ensures safety by automatically sending notifications for assistance when needed. The bike incorporates a self-charging system, reducing reliance on charging stations through a dynamo, motor, and battery closed-loop mechanism. Testing revealed the bike's capability to run for approximately 5.5 hours at speeds of 45 to 50 km/h without self-charging, extending to 6 hours with the self-charging enabled. The project also successfully tested the GPS live location tracking and accident detection system. This innovation presents a significant step towards sustainable and safer urban transportation.

Authors

Institutions

Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/peeiacon63629.2024.10800688
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Highly Efficient Self-Charging Smart Electric Bike

Kamrul Islam Shohail, S. Ahmed, Shariar Kabir Tamim
1 citations
IoT-based Smart Home Systems
0.21
article

Highly Efficient Self-Charging Smart Electric Bike

Kamrul Islam Shohail, S. Ahmed, Shariar Kabir Tamim
article en
1 citations

Abstract

Electric bikes offer a clean alternative to fossil fuel-powered vehicles, contributing to environmental preservation. This project aims to develop an electric bike with smart features including GPS live location tracking, smart display, and accident detection. Particularly beneficial for late-night commuters, the GPS feature ensures safety by automatically sending notifications for assistance when needed. The bike incorporates a self-charging system, reducing reliance on charging stations through a dynamo, motor, and battery closed-loop mechanism. Testing revealed the bike's capability to run for approximately 5.5 hours at speeds of 45 to 50 km/h without self-charging, extending to 6 hours with the self-charging enabled. The project also successfully tested the GPS live location tracking and accident detection system. This innovation presents a significant step towards sustainable and safer urban transportation.

American International University-Bangladesh (BD)
Affordable and clean energy
Openalex Percentile: Top 45%
IoT-based Smart Home Systems
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.