Implementation of an electronic prototype for telematic records and fault detection in automobile engines using OBD II

Authors

DOI:

https://doi.org/10.55204/trc.v1i1.6

Keywords:

OBDII System, Electronic Control Unit (ECU), Internet Of Things (IoT), Datalogger, Thingspeak

Abstract

The devices that make up its construction were acquired through an analysis, study and requirements that allow the different functions proposed by said prototype to be carried out, for this, the cost, ease of acquisition and software compatibility were considered. An OBDII system in charge of vehicle diagnosis was used, allowing constant monitoring and data storage to detect faults that may present and affect the operation of the engine sensors; this through a micro SD module. A control board was manufactured to which an Arduino Mega development board was integrated in charge of controlling the functions through programming algorithms, libraries for each module and directly with the OBDII system. The prototype allows to visualize the data obtained through two virtual platforms called Datalogger and Thingspeak. The datalogger stores the data obtained and processed by the electronic engine control unit (ECU) of each sensor and displays it through a blog of notes. Matlab's own Thingspeak platform shows the signals in an analytical environment of the Internet of Things (IoT) that allows to visualize, add and analyze the signals of the engine sensors directly in an internet cloud due to the GSM 1800L module. The performance tests, it was possible to extract data from the main sensors of the vehicle and it was possible to demonstrate by means of absolute and relative error analysis of the data obtained a result between 1% to 2% of error considering that through this analysis the extracted data is acceptable.

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References

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Published

2021-01-01

Issue

Section

Original Research Articles

How to Cite

Montesdeoca Vivanco, A. G. (2021). Implementation of an electronic prototype for telematic records and fault detection in automobile engines using OBD II. Tesla Revista Científica, 1(1), 68-87. https://doi.org/10.55204/trc.v1i1.6