To read this content please select one of the options below:

OBD-II and raspberry Pi technology to diagnose car’s machine current condition: study literature

Sonya Rapinta Manalu (School of Computer Science, Bina Nusantara University, Jakarta Barat, Indonesia)
Jurike Moniaga (School of Computer Science, Bina Nusantara University, Jakarta Barat, Indonesia)
Dionisius Andrian Hadipurnawan (School of Computer Science, Bina Nusantara University, Jakarta Barat, Indonesia)
Firda Sahidi (School of Computer Science, Bina Nusantara University, Jakarta Barat, Indonesia)

Library Hi Tech News

ISSN: 0741-9058

Article publication date: 4 December 2017

504

Abstract

Purpose

Low-cost microcomputers such as the Raspberry Pi are common in library makerspaces. This paper aims to create an OBD-II technology to diagnose a vehicle’s condition.

Design/methodology/approach

An OBD-II scanner plugged into the OBD-II port or usually called the data link connector (DLC), sends diagnostics to the Raspberry Pi.

Findings

Compared with other microcontrollers such as Arduino, the Raspberry Pi was chosen because it sustains the application to receive real-time diagnostics, process the diagnostics and send commands to automobiles at the same time, rather than Arduino that must wait for another process finished to run another process.

Originality/value

This paper also represents the history of mobile technology and OBD-II technology, comparison between Arduino and Raspberry Pi and Node.

Keywords

Citation

Manalu, S.R., Moniaga, J., Hadipurnawan, D.A. and Sahidi, F. (2017), "OBD-II and raspberry Pi technology to diagnose car’s machine current condition: study literature", Library Hi Tech News, Vol. 34 No. 10, pp. 15-21. https://doi.org/10.1108/LHTN-06-2017-0041

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

Related articles