A Study on Fault Detection Algorithm for Motor Control Unit of Electric Vehicle

• Published in: Applied Mechanics and Materials Vol. 431; pp. 226 - 230
• Main Authors: Shin, Wae Gyeong, Seo, Dong Hyun, No, Jong Sang
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.10.2013
• Subjects: Algorithms; Automobile industry; Computer simulation; Control equipment; Electric vehicles; Fault detection; Faults; Hardware-in-the-loop simulation; Motors; Product development; Real time; Safety; Dynamic Model; Fault Insertion Model (FIU); Motor Control Unit (MCU); Hardware Interrupt; Hardware-in-the-Loop Simulation (HILS); Electric Drive
• ISBN: 3037858931; 9783037858936
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.431.226

Algorithms for motor control unit in electric vehicles are being actively developed with consideration given to safety and reliability these days. Faults during driving are a critical problem that is directly linked to the safety of drivers, and studies on fault detection of control units in various situations are needed. This study investigated the faults of control units in a signal level interface with a dynamic model of drive motor and the real-time interconnection of motor control unit and HILS (hardware-in-the-loop simulation). It was found through real-time simulation that simulating the fault conditions with the sensors of motor control unit could reveal different characteristics of motor control unit. Furthermore, vehicle driving simulations with electric motor control were performed. The results of this study are expected to help the development of electric motor simulations and the evaluation of MCU and control algorithms.