Generate Electricity for Automobiles using Piezoelectric Sensors – using IoT

This research introduces new electric energy usage in electric automobiles using piezoelectric sensors and IoT technology, in which the sensors convert any produced mechanical energy from such causes as vibration and variations in pressure that result in vehicle movements to electrical energy. This modernity supports energy-efficient use systems in new vehicles to translate stresses such as deforming tires into usable power rather than using conventional fossil fuels. We study real-time monitoring, data collection, and optimization of energy production through the IoT framework. The important elements of this research are an in-depth analysis of a complete vehicle operation database, rigorous data preprocessing to remove noise and inconsistencies, and efficient segmentation to identify key features. The identified features enable us to estimate energy generation potential through different vehicle components. Advanced machine learning algorithms are applied to distinguish patterns and optimize energy output. The results showed significant potential for piezoelectric sensors in sustainable energy production in automotive contexts, which will be a greener alternative for energy harvesting in the transportation sector.

Authors

Institutions

Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/icacrs62842.2024.10841762
Citations
3
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generate Electricity for Automobiles using Piezoelectric Sensors – using IoT

S. Swathi, K. Suganya Devi, Imtiaz Parvez, C. Vishnuraj et al.
3 citations
IoT-based Smart Home Systems
0.63
article

Generate Electricity for Automobiles using Piezoelectric Sensors – using IoT

S. Swathi, K. Suganya Devi, Imtiaz Parvez, C. Vishnuraj, K. Sukirtha Veena
article en
3 citations

Abstract

This research introduces new electric energy usage in electric automobiles using piezoelectric sensors and IoT technology, in which the sensors convert any produced mechanical energy from such causes as vibration and variations in pressure that result in vehicle movements to electrical energy. This modernity supports energy-efficient use systems in new vehicles to translate stresses such as deforming tires into usable power rather than using conventional fossil fuels. We study real-time monitoring, data collection, and optimization of energy production through the IoT framework. The important elements of this research are an in-depth analysis of a complete vehicle operation database, rigorous data preprocessing to remove noise and inconsistencies, and efficient segmentation to identify key features. The identified features enable us to estimate energy generation potential through different vehicle components. Advanced machine learning algorithms are applied to distinguish patterns and optimize energy output. The results showed significant potential for piezoelectric sensors in sustainable energy production in automotive contexts, which will be a greener alternative for energy harvesting in the transportation sector.

Sri Eshwar College of Engineering
Affordable and clean energy
Openalex Percentile: Top 30%
IoT-based Smart Home Systems
0.63
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.