Published December 30, 2022
| Version CC BY-NC-ND 4.0
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Low Fuel or Energy Alert System for Automobiles using Accelerometer Data
Creators
- 1. Department of Mechanical Engineering, Rizvi College of Engineering, Mumbai (Maharashtra), India.
Contributors
Contact person:
- 1. Department of Mechanical Engineering, Rizvi College of Engineering, Mumbai (Maharashtra), India.
Description
Abstract: The focus of this paper is to develop a system which works on the real time data acquired by accelerometer ADXL345 as well as that from a smartphone mounted on the dashboard of the vehicle and calculates the amount of fuel consumed which is conveyed to the user. The algorithm is validated on 4 trips conducted around the Rizvi College campus and the results are found to be accurate. The algorithm works in real-time and can be implemented on any web interface to alert the driver via map-based navigation tools or to connect the driver to nearby local fuel supply stations. Similar activity will be carried out on vehicle batteries to estimate remaining useful battery life.
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Additional details
Related works
- Is cited by
- Journal article: 2249-8958 (ISSN)
References
- Vinay Divakar, Fuel Gauge Sensing Technologies for Automotive Applications, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 1, January 2014 41 ISSN: 2278 – 1323.
- Mohammed Naved Naik, Amol M Khatkhate,Arnab Ganguly, Jugal Jagtap, Husain Jasdanwalla "An accurate non-intrusive method for fuel estimation of a passenger vehicle using real-time acceleration data from a smartphone", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.1116-1126, May-2020, Available :http://www.jetir.org/papers/JETIR2005289.pdf
- Afonso Vilaca, Ana Aguiar, and Carlos Soares, Estimating Fuel Consumption from GPS Data, IbPRIA 2015: 7th Iberian Conference on Pattern Recognition and Image Analysis, Santiago de Compostela, Spain.
Subjects
- ISSN: 2249-8958 (Online)
- https://portal.issn.org/resource/ISSN/2249-8958#
- Retrieval Number: 100.1/ijeat.B39401212222
- https://www.ijeat.org/portfolio-item/B39401212222/
- Journal Website: www.ijeat.org
- https://www.ijeat.org
- Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
- https://www.blueeyesintelligence.org