Model-based Fault Detection of Rotor Position Sensor Fault in Permanent Magnet Synchronous Motor for Electric Vehicle

Nana Zhou*, Lingchao Kong, Jie Fan, Zhenpo Wang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Permanent magnet synchronous motors (PMSMs) are widely used in drive system of electric vehicles (EVs) because of their high efficiency, wild torque range, high power density, etc. However, rotor position, as a very critical parameter for its control strategy, often faces inaccuracies in operation. In this paper, the problem of position sensor fault detection in drive system of EV was studied. The mathematical model of EV with a specific drive system was introduced in discrete form and built in Matlab/Simulink. Based on the field oriented control strategy model, a novel fault detection scheme based on the parity space for the drive system was proposed. The proposed method considered the influence of the closed-loop control to the fault detection result. A residual generator and a residual evaluator were included. The simulation results demonstrated the effectiveness and applicability of the proposed method.

Original languageEnglish
Article number012060
JournalJournal of Physics: Conference Series
Volume2258
Issue number1
DOIs
Publication statusPublished - 29 Apr 2022
Event2022 5th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2022 - Sanya, China
Duration: 20 Jan 202222 Jan 2022

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