Sending CAN Flexible Data-Rate Frames in an Automatic Manner to Improve Vehicle Diagnose Processes

This paper provides an algorithm for the Controller Area Network (CAN) protocol, which enables transmission of CAN single frames and CAN flexible data-rate frames in an automatic manner. The automotive industry is of key importance nowadays and, in this context, our research focuses on autonomous/ automatic diagnosis and predictive maintenance techniques, which can also be easily extended to other important areas such as mechanical engineering, robotics, avionics, healthcare and so on. Our study shows improvements of up to 14% for validating and interpreting the data with respect to the response time of the ECU, which is not negligible for real-life and industrial applications, where time efficiency in detecting malfunctions is a sensitive issue.

Authors

Institutions

Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/iccp63557.2024.10793030
Citations
1
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sending CAN Flexible Data-Rate Frames in an Automatic Manner to Improve Vehicle Diagnose Processes

Mihai V. Micea, Cristina Stângaciu, Florian-Aurelian Krech
1 citations
Real-time simulation and control systems
0.33
article

Sending CAN Flexible Data-Rate Frames in an Automatic Manner to Improve Vehicle Diagnose Processes

Mihai V. Micea, Cristina Stângaciu, Florian-Aurelian Krech
article en
1 citations

Abstract

This paper provides an algorithm for the Controller Area Network (CAN) protocol, which enables transmission of CAN single frames and CAN flexible data-rate frames in an automatic manner. The automotive industry is of key importance nowadays and, in this context, our research focuses on autonomous/ automatic diagnosis and predictive maintenance techniques, which can also be easily extended to other important areas such as mechanical engineering, robotics, avionics, healthcare and so on. Our study shows improvements of up to 14% for validating and interpreting the data with respect to the response time of the ECU, which is not negligible for real-life and industrial applications, where time efficiency in detecting malfunctions is a sensitive issue.

Polytechnic University of Timişoara (RO)
Openalex Percentile: Top 38%
Real-time simulation and control systems
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.