Issue |
MATEC Web of Conferences
Volume 54, 2016
2016 7th International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2016)
|
|
---|---|---|
Article Number | 04002 | |
Number of page(s) | 5 | |
Section | Automation and control engineering | |
DOI | https://doi.org/10.1051/matecconf/20165404002 | |
Published online | 22 April 2016 |
Embedded ECU Emulation Platform for Safe Adaptive Front-Light System Control Algorithm Development
School of Electronics Engineering, Kyungpook National University, 80 Daehak-ro, Bukgu, Daegu, Republic of Korea
Safety-conscious design and implementation of automotive electronics is now being important in safe driving under severe electromagnetic disturbance. In this paper, we introduce our experience and development framework to develop a safe electronic control unit (ECU) automotive controller algorithm using hardware-in-the-loop (HILS) based on Matlab/Simulink models, which are connected to ECU hardware. We propose a design flow of Matlab/Simulink based on model-based algorithm implementation of ECU controller and chip level ECU function emulation methodology using dSPACE’s MicroAutoBoxTM, which is an off the shelf embedded system for ECU software-hardware emulation. As a case study, we shows that fast design and implementation of the specific ECU hardware, which is integrated with custom-designed its controller algorithm for adaptive front-light system (AFLS) is easily evaluated by using the proposed development framework.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.