Model-based Design And Analysis Of Automotive Systems Using Time-triggered Controller Area Networks

Author

Ruoshi Zhang

Graduation Semester and Year

2015

Language

English

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering

Department

Electrical Engineering

First Advisor

Taylor Johnson

Abstract

As the numbers of electrical and electronics (E/E) components vastly increases in modern motor vehicles, vehicle safety risks and recalls due to E/E problems have become issues for both auto manufactures and customers. This thesis describes methods to assist designers to analyze legacy designs incorporating the Time-Triggered Controller Area Network (TTCAN) bus in a post-design phase. We present a case study for the UT-Arlington Formula SAE all-electric race car, which has 18 controller area network (CAN) PIC microcontroller nodes using the TTCAN protocol. The contributions include the general approach to re-using legacy software in MBD processes, the automotive case study and analysis thereof with SLSF simulation, and resulted in identifying and correcting two bugs in the legacy software for the car.

Disciplines

Electrical and Computer Engineering | Engineering

License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Comments

Degree granted by The University of Texas at Arlington

Recommended Citation

Zhang, Ruoshi, "Model-based Design And Analysis Of Automotive Systems Using Time-triggered Controller Area Networks" (2015). Electrical Engineering Theses. 348.
https://mavmatrix.uta.edu/electricaleng_theses/348