Fuzzy System for Fault Diagnostics in Power Electronics-Based Brake-by-Wire System

Overview

The document presents research on a structured fuzzy system for fault diagnostics in power electronics-based brake-by-wire systems, authored by Yi L. Murphey, Abul Masrur, ZhiHang Chen, and BaiFang Zhang from the University of Michigan-Dearborn and the U.S. Army RDECOM-TARDEC. The focus of the study is on the power electronics switches within electric motors, which are critical components in modern automotive systems, particularly as the industry shifts from mechanical to electric systems for various functions, including steering and braking.

The introduction highlights the growing trend in the automotive industry to replace mechanical systems with electric alternatives, emphasizing the advantages of reduced weight and improved packaging. However, the transition to electric systems introduces new challenges, particularly in fault diagnostics. The authors note that while fault diagnostics for internal combustion engine vehicles have been extensively studied, research in electric and hybrid vehicle diagnostics is still emerging.

The paper details the development of a simulated model of a brake-by-wire system that generates current and voltage signals under normal and six faulty conditions in the power electronics circuit. The proposed fuzzy diagnostic system is designed to accurately identify faults and their locations within the circuit as soon as they occur. The authors argue that traditional diagnostic methods, such as black box models, may lack the intuitive focus needed to pinpoint specific problems effectively.

The results of the experiments demonstrate that the fuzzy diagnostic system is effective in predicting faults and their locations, showcasing its potential as a reliable tool for enhancing the safety and reliability of electric vehicle systems. The research contributes to the growing body of knowledge in electrical system diagnostics, particularly in the context of automotive engineering.

In conclusion, the document underscores the importance of developing advanced diagnostic systems for electric vehicles, particularly as the industry moves towards more electric and hybrid technologies. The structured fuzzy system presented in this research offers a promising approach to improving fault detection and diagnosis in brake-by-wire systems, ultimately contributing to the advancement of automotive safety and performance.