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Data Acquisition Protocol for Determining Embedded Sensitivity Functions

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Published on: April 20, 2016

Low-Cost Data Acquisition System for Automotive Electronic Control Units.

João Paulo Bedretchuk¹, Sergio Arribas García¹, Thiago Nogiri Igarashi¹

¹Software/Hardware Integration Lab, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil.

Sensors (Basel, Switzerland)

|February 28, 2023

Summary

This study introduces an affordable Internet of Things (IoT) system for vehicle data acquisition during road tests. The intelligent system offers comparable performance to commercial options but at a significantly lower cost and with advanced AI features.

Keywords:

acquisition system controller area network (CAN)electronic control unit (ECU)hardware vehicle testing

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Area of Science:

Automotive Engineering
Embedded Systems
Data Science

Background:

Vehicle testing and validation are critical for automotive development, ensuring safety and performance.
Existing commercial solutions are often costly, limited in connectivity, and require PC dependency.

Purpose of the Study:

To present an innovative, low-cost, IoT-based system for intelligent vehicle data acquisition during on-road testing.
To offer an alternative to expensive and restrictive commercial testing systems.

Main Methods:

Integration of low-cost hardware for data acquisition with an IoT server.
Near real-time data collection and transmission.
Application of artificial intelligence (AI) algorithms for data processing and failure detection.

Main Results:

The proposed system achieves a comparable data acquisition rate to commercial systems.
The system is significantly more cost-effective, up to 13 times cheaper.
Advanced features include near real-time intelligent data processing and accelerated error correction.

Conclusions:

The developed IoT system provides a viable, cost-effective, and feature-rich alternative for vehicle data acquisition.
It enhances the efficiency of identifying and rectifying vehicle errors and failures during the testing phase.