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Applying Compute-Proximal Energy Harvesting to Develop Self-Sustained Systems for Automobiles.

Authors :
Park, Jung Wook
Cheng, Tingyu
Zhang, Dingtian
Zhao, Yuhui
Arriaga, Rosa I.
Starner, Thad
Gupta, Mohit
Zhang, Yang
Abowd, Gregory D.
Source :
IEEE Pervasive Computing; 2022, Vol. 21 Issue 1, p75-83, 9p
Publication Year :
2022

Abstract

A major cost, inconvenience, and source of failure for adding sensors and electronic accessories to automobiles is wiring the systems into the car's power supply. We propose an alternative approach, computer-proximal energy harvesting, which harvests power locally, so wiring is not needed. In this article, we provide an overview of the principles and empirical evaluations for harvesting energy in and around the automobile exploring the role that wind, light, vibration, and heat can play in this process. To better explore these concepts, we demonstrate two prototypes—A thermoelectric energy-based parking assistant, which is attached to the exhaust pipe, and a wind-powered external pedestrian display, which is anchored to the front bumper of a car. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15361268
Volume :
21
Issue :
1
Database :
Complementary Index
Journal :
IEEE Pervasive Computing
Publication Type :
Academic Journal
Accession number :
155867026
Full Text :
https://doi.org/10.1109/MPRV.2021.3124738